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Syblis C, Christodoulou M, Ross S, Pattilachan TM, Rosemurgy A, Sucandy I. The role of the AST-to-platelet ratio index (APRI) score on outcomes following robotic minor, technically major, & major hepatectomy for liver tumors. J Robot Surg 2025; 19:213. [PMID: 40353909 DOI: 10.1007/s11701-025-02372-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2024] [Accepted: 04/25/2025] [Indexed: 05/14/2025]
Abstract
Predictive capability of aspartate transaminase-to-platelet ratio index (APRI) in assessing liver fibrosis/cirrhosis. This study aims to evaluate the correlation between APRI scores and perioperative outcomes following robotic hepatectomy. Data of 530 consecutive patients undergoing robotic hepatectomy were analyzed. Patients were classified based on an APRI score threshold of 0.7 and extent of resection. Data are presented as median (mean ± SD). Of 530 patients, 166 (31%) underwent major resection. Expectedly, major resections were associated with higher expert-level operations based on IWATE system. While having statistically similar APRI scores, patients undergoing major resection had larger tumor size (p = 0.003), longer operative duration (p < 0.0001), and higher blood loss (p = 0.0002). Patients undergoing minor/technically major resections, 100 (27%) patients had an elevated APRI, which was associated with higher MELD score (p = 0.0001), Child-Pugh score (p = 0.0001), cirrhosis (p < 0.0001), and neoplastic diseases (p < 0.0001). Patients undergoing major resections, 48 (29%) had elevated APRI, which was also associated with higher Child-Pugh Score (p < 0.0001), cirrhosis (p = 0.0008), and neoplastic diseases (p = 0.001). Elevated APRI levels were indicative of cirrhosis and higher MELD score; however, outcomes following robotic major hepatectomy remain unaffected by the index.
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Affiliation(s)
- Cameron Syblis
- University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Maria Christodoulou
- Division Chief of Hepatopancreatobiliary Surgery, Digestive Health Institute, AdventHealth Tampa, 3000 Medical Park Drive, Suite # 500, Tampa, FL, 33613, USA
| | - Sharona Ross
- Division Chief of Hepatopancreatobiliary Surgery, Digestive Health Institute, AdventHealth Tampa, 3000 Medical Park Drive, Suite # 500, Tampa, FL, 33613, USA
| | - Tara Menon Pattilachan
- Division Chief of Hepatopancreatobiliary Surgery, Digestive Health Institute, AdventHealth Tampa, 3000 Medical Park Drive, Suite # 500, Tampa, FL, 33613, USA
| | - Alexander Rosemurgy
- Division Chief of Hepatopancreatobiliary Surgery, Digestive Health Institute, AdventHealth Tampa, 3000 Medical Park Drive, Suite # 500, Tampa, FL, 33613, USA
| | - Iswanto Sucandy
- Division Chief of Hepatopancreatobiliary Surgery, Digestive Health Institute, AdventHealth Tampa, 3000 Medical Park Drive, Suite # 500, Tampa, FL, 33613, USA.
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Yang M, Liu D, Liu Y. Evaluation of the Aspartate Aminotransferase to Platelet Ratio Index for Predicting In-Hospital Mortality in Cardiogenic Shock Patients Admitted to the Intensive Care Unit. Rev Cardiovasc Med 2025; 26:26590. [PMID: 40351674 PMCID: PMC12059761 DOI: 10.31083/rcm26590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Revised: 12/17/2024] [Accepted: 12/25/2024] [Indexed: 05/14/2025] Open
Abstract
Backgrounds This study aimed to investigate the conceivable utility of the aspartate aminotransferase to platelet ratio index (APRI) in prognostic prediction for patients with cardiogenic shock (CS) hospitalized in the intensive care unit (ICU). Methods Data for patients diagnosed with CS were obtained from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and categorized into groups based on the APRI quartiles. The primary endpoint encompassed in-hospital and ICU mortality rates. The secondary outcomes included sepsis and acute kidney injury (AKI). Kaplan-Meier survival analysis was utilized to assess differences in main endpoints among groups categorized by their APRI. Results This study collected data from 1808 patients diagnosed with CS. Multivariate Cox regression analysis indicated that an elevated APRI was independently correlated with a heightened risk of in-hospital mortality (hazard ratio (HR) 1.005 [95% confidence interval (CI) 1.003-1.007]; p < 0.001) and ICU mortality (HR 1.005 [95% CI 1.003-1.007]; p < 0.001). Multivariate logistic regression analysis demonstrated that APRI was independently correlated with a heightened risk of sepsis (odds ratio (OR) 1.106 [95% CI 1.070-1.144]; p < 0.001) and AKI (OR 1.054 [95% CI 1.035-1.073]; p < 0.001). Conclusions An increased APRI was linked to worse clinical outcomes in critically ill patients with cirrhosis. Nevertheless, further extensive prospective investigations are needed to validate these findings.
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Affiliation(s)
- Min Yang
- Department of General Disease, The Eighth Affiliated Hospital of Sun Yat-sen University, 51800 Shenzhen, Guangdong, China
| | - Dandan Liu
- Department of General Disease, The Eighth Affiliated Hospital of Sun Yat-sen University, 51800 Shenzhen, Guangdong, China
| | - Yu Liu
- Department of Neurosurgery, Zhongshan Hospital of Traditional Chinese Medicine, 528400 Zhongshan, Guangdong, China
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Liu Z, Yang X, Yang H, Ling Z, Li Y, Wu W, Shi F, Ji F. Controlled low central venous pressure maintenance level during laparoscopic hepatectomy negatively associated with PHLF incidence: a retrospective propensity score matching study. Surg Endosc 2025; 39:1101-1113. [PMID: 39694951 DOI: 10.1007/s00464-024-11470-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 12/01/2024] [Indexed: 12/20/2024]
Abstract
BACKGROUND Posthepatectomy liver failure (PHLF), the most serious complication after hepatectomy, may evoke multisystemic complications and even mortality. Despite numerous studies demonstrated the safety and efficacy of controlled low central venous pressure (CLCVP), the optimal central venous pressure (CVP) maintenance level during CLCVP and its relationship with PHLF remain controversial. Therefore, the present study aimed to evaluate the association between the lowest CVP maintenance level during CLCVP and PHLF. METHODS 755 patients who underwent laparoscopic hepatectomy at Sun Yat-Sen Memorial Hospital between January 2017 and March 2021 were recruited. Univariate and multivariate analyses were performed to determine the effect of the lowest CVP maintenance level on PHLF. After implementing propensity score matching (PSM) to equalize demographic confounders, univariate comparisons and subgroup analyses were conducted to investigate the impact of the lowest CVP maintenance level on PHLF in patients who underwent CLCVP. RESULTS Univariate and multivariate analyses identified intraoperative lowest CVP maintenance level < 2 mmHg as an independent risk factor for PHLF (P = 0.041; OR, 0.520; 95% CI 0.277 to 0.974). Following 1:1 PSM in individuals who received CLCVP, the lowest CVP maintenance level < 2 mmHg was associated with heightened PHLF incidence (P = 0.048) and elevated intraoperative lactate level (P = 0.011). Subgroup analyses revealed that the above effect of the lowest CVP maintenance level occurred mainly in elderly individuals or those with prolonged portal blockade. CONCLUSION During laparoscopic hepatectomy, excessively low CVP maintenance level should be avoided to decrease the risk of tissue malperfusion and PHLF, especially in elderly or prolonged portal blockade patients.
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Affiliation(s)
- Zhongqi Liu
- Department of Anesthesiology, Shenshan Medical Central, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, 516621, People's Republic of China
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People's Republic of China
| | - Xueying Yang
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People's Republic of China
| | - Hongmei Yang
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People's Republic of China
| | - Zinan Ling
- Department of Anesthesiology, Shenshan Medical Central, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, 516621, People's Republic of China
| | - Yao Li
- Department of Anesthesiology, Shenshan Medical Central, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, 516621, People's Republic of China
| | - Wei Wu
- Department of Anesthesiology, Shenshan Medical Central, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Shanwei, 516621, People's Republic of China
| | - Fenmei Shi
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People's Republic of China.
| | - Fengtao Ji
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, People's Republic of China.
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Sangro B, Argemi J, Ronot M, Paradis V, Meyer T, Mazzaferro V, Jepsen P, Golfieri R, Galle P, Dawson L, Reig M. EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma. J Hepatol 2025; 82:315-374. [PMID: 39690085 DOI: 10.1016/j.jhep.2024.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 12/19/2024]
Abstract
Liver cancer is the third leading cause of cancer-related deaths worldwide, with hepatocellular carcinoma (HCC) accounting for approximately 90% of primary liver cancers. Advances in diagnostic and therapeutic tools, along with improved understanding of their application, are transforming patient treatment. Integrating these innovations into clinical practice presents challenges and necessitates guidance. These clinical practice guidelines offer updated advice for managing patients with HCC and provide a comprehensive review of pertinent data. Key updates from the 2018 EASL guidelines include personalised surveillance based on individual risk assessment and the use of new tools, standardisation of liver imaging procedures and diagnostic criteria, use of minimally invasive surgery in complex cases together with updates on the integrated role of liver transplantation, transitions between surgical, locoregional, and systemic therapies, the role of radiation therapies, and the use of combination immunotherapies at various stages of disease. Above all, there is an absolute need for a multiparametric assessment of individual risks and benefits, considering the patient's perspective, by a multidisciplinary team encompassing various specialties.
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Bekki T, Ohira M, Imaoka Y, Hattori M, Nakano R, Sakai H, Kuroda S, Tahara H, Ide K, Kobayashi T, Ohdan H. The steatosis-associated fibrosis estimator score is a useful indicator of recurrence and survival after initial curative hepatectomy for hepatocellular carcinoma. Ann Gastroenterol Surg 2025; 9:178-187. [PMID: 39759992 PMCID: PMC11693554 DOI: 10.1002/ags3.12846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 06/19/2024] [Accepted: 07/07/2024] [Indexed: 01/07/2025] Open
Abstract
Aims Liver fibrosis predisposes patients to liver failure and hepatocellular carcinoma. Various markers, which can be calculated easily from serum parameters, have been reported to predict liver fibrosis accurately. This study investigated the prognostic factors, including blood-based markers for liver fibrosis of patients with hepatocellular carcinoma following initial curative hepatectomy. Methods This retrospective study included 407 patients with hepatocellular carcinoma who underwent initial curative hepatectomy between April 2010 and December 2017. We investigated prognosis-associated variables in these patients. Results Among the blood-based markers for liver fibrosis examined in this study, the steatosis-associated fibrosis estimator score demonstrated the best predictive capabilities. This score was revealed as a poor prognostic factor for both overall survival and recurrence-free survival in patients with hepatocellular carcinoma following initial curative hepatectomy. A high steatosis-associated fibrosis estimator score was independently associated with poor overall survival and recurrence-free survival. After propensity score-matching to minimize bias between high- and low-steatosis-associated fibrosis estimator score groups, the high steatosis-associated fibrosis estimator score remained associated with poor overall survival and recurrence-free survival. Conclusions The steatosis-associated fibrosis estimator score is an independent predictor of long-term prognosis in patients with hepatocellular carcinoma following initial curative hepatectomy.
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Affiliation(s)
- Tomoaki Bekki
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Masahiro Ohira
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
- Division of Regeneration and Medicine, Medical Center for Translational and Clinical ResearchHiroshima University HospitalHiroshimaJapan
| | - Yuki Imaoka
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Minoru Hattori
- Medical Education CenterHiroshima UniversityHiroshimaJapan
| | - Ryosuke Nakano
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Hiroshi Sakai
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Shintaro Kuroda
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Hiroyuki Tahara
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Kentaro Ide
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Tsuyoshi Kobayashi
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Hideki Ohdan
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
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Pantea R, Bednarsch J, Schmitz S, Meister P, Heise D, Ulmer F, Neumann UP, Lang SA. The assessment of impaired liver function and prognosis in hepatocellular carcinoma. Expert Rev Gastroenterol Hepatol 2024; 18:779-794. [PMID: 39688572 DOI: 10.1080/17474124.2024.2442573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 12/05/2024] [Accepted: 12/11/2024] [Indexed: 12/18/2024]
Abstract
INTRODUCTION The impairment of liver function strongly limits the therapeutic options for hepatocellular carcinoma (HCC), and the assessment of liver function is key to finding the appropriate therapy for patients suffering from this disease. Furthermore, preexisting liver dysfunction has a negative impact on the prognosis of patients in addition to the malignant potential of HCC. Hence, defining the optimal treatment of patients with HCC requires a comprehensive examination with liver function being a crucial part of it. AREAS COVERED This review will provide an overview of the currently existing methods for evaluating the liver function in patients with HCC. Assessment of liver function includes scoring systems but also functional and technical methods. In addition, the role of these tests in different treatment facilities such as liver resection, transplantation, interventional and systemic therapy is summarized. EXPERT OPINION A comprehensive pretherapeutic assessment of the liver function includes laboratory-based scoring systems, as well as imaging- and non-imaging-based functional tests. Combining diverse parameters can help to improve the safety and efficacy of HCC therapy particularly in patients with compromised liver function. Future research should focus on optimizing pretherapeutic assessment recommendations for each therapy.
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Affiliation(s)
- Roxana Pantea
- Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
| | - Jan Bednarsch
- Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
| | - Sophia Schmitz
- Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
| | - Phil Meister
- Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
| | - Daniel Heise
- Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
| | - Florian Ulmer
- Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
| | - Ulf Peter Neumann
- Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
| | - Sven Arke Lang
- Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
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Boubaddi M, Marichez A, Adam JP, Lapuyade B, Debordeaux F, Tlili G, Chiche L, Laurent C. Comprehensive Review of Future Liver Remnant (FLR) Assessment and Hypertrophy Techniques Before Major Hepatectomy: How to Assess and Manage the FLR. Ann Surg Oncol 2024; 31:9205-9220. [PMID: 39230854 DOI: 10.1245/s10434-024-16108-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 08/16/2024] [Indexed: 09/05/2024]
Abstract
BACKGROUND The regenerative capacities of the liver and improvements in surgical techniques have expanded the possibilities of resectability. Liver resection is often the only curative treatment for primary and secondary malignancies, despite the risk of post-hepatectomy liver failure (PHLF). This serious complication (with a 50% mortality rate) can be avoided by better assessment of liver volume and function of the future liver remnant (FLR). OBJECTIVE The aim of this review was to understand and assess clinical, biological, and imaging predictors of PHLF risk, as well as the various hypertrophy techniques, to achieve an adequate FLR before hepatectomy. METHOD We reviewed the state of the art in liver regeneration and FLR hypertrophy techniques. RESULTS The use of new biological scores (such as the aspartate aminotransferase/platelet ratio index + albumin-bilirubin [APRI+ALBI] score), concurrent utilization of 99mTc-mebrofenin scintigraphy (HBS), or dynamic hepatocyte contrast-enhanced MRI (DHCE-MRI) for liver volumetry helps predict the risk of PHLF. Besides portal vein embolization, there are other FLR optimization techniques that have their indications in case of risk of failure (e.g., associating liver partition and portal vein ligation for staged hepatectomy, liver venous deprivation) or in specific situations (transarterial radioembolization). CONCLUSION There is a need to standardize volumetry and function measurement techniques, as well as FLR hypertrophy techniques, to limit the risk of PHLF.
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Affiliation(s)
- Mehdi Boubaddi
- Hepatobiliary and Pancreatic Surgery Department, Bordeaux University Hospital Center, Bordeaux, France.
- Bordeaux Institute of Oncology, BRIC U1312, INSERM, Bordeaux University, Bordeaux, France.
| | - Arthur Marichez
- Hepatobiliary and Pancreatic Surgery Department, Bordeaux University Hospital Center, Bordeaux, France
- Bordeaux Institute of Oncology, BRIC U1312, INSERM, Bordeaux University, Bordeaux, France
| | - Jean-Philippe Adam
- Hepatobiliary and Pancreatic Surgery Department, Bordeaux University Hospital Center, Bordeaux, France
| | - Bruno Lapuyade
- Radiology Department, Bordeaux University Hospital Center, Bordeaux, France
| | - Frederic Debordeaux
- Nuclear Medicine Department, Bordeaux University Hospital Center, Bordeaux, France
| | - Ghoufrane Tlili
- Nuclear Medicine Department, Bordeaux University Hospital Center, Bordeaux, France
| | - Laurence Chiche
- Hepatobiliary and Pancreatic Surgery Department, Bordeaux University Hospital Center, Bordeaux, France
| | - Christophe Laurent
- Hepatobiliary and Pancreatic Surgery Department, Bordeaux University Hospital Center, Bordeaux, France
- Bordeaux Institute of Oncology, BRIC U1312, INSERM, Bordeaux University, Bordeaux, France
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Tao BF, Zhu HQ, Qi LN, Zhong JH, Mai RY, Ma L. Preoperative monocyte-to-lymphocyte ratio as a prognosis predictor after curative hepatectomy for intrahepatic cholangiocarcinoma. BMC Cancer 2024; 24:1179. [PMID: 39333901 PMCID: PMC11437980 DOI: 10.1186/s12885-024-12929-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 09/10/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Several inflammatory indicators have been reported to have predictive value in many types of malignant cancer. This research was aimed to explore the ability of the monocyte-to-lymphocyte ratio (MLR) to predict prognosis in patients with intrahepatic cholangiocarcinoma (ICC) who subjected to curative hepatectomy. METHODS This retrospective analysis included 196 patients with ICC who underwent curative hepatectomy between May 2018 and April 2023. The predictive abilities of the preoperative MLR in assessing overall survival (OS) and disease-free survival (DFS) in those patients were compared with other inflammation-based scores, including monocyte-to-white ratio, neutrophil-to-lymphocyte ratio, neutrophil-to-white ratio, platelet-to-lymphocyte ratio, platelet-to-white ratio, and systemic immune-inflammation index, as well as tumor markers, like carcinoembryonic antigen (CEA) and carbohydrate antigen 19 - 9 (CA19-9). RESULTS The area under the time-dependent receiver operating characteristic curve indicated that the preoperative MLR had higher predictive efficiency in contrast with other inflammation-based scores and tumor markers in assessing OS and DFS. Stratifying patients according to the optimal cut-off value for the preoperative MLR, the data showed that both OS and DFS in the high MLR group were significantly worse than those in the low MLR group (p < 0.05 for all). Univariable and multivariable Cox analyses revealed that the preoperative MLR was an independent risk factor for OS and DFS in patients with ICC. In addition to predicting OS in patients with high CEA levels and predicting DFS in patients with high CA19-9 levels, patients with different CEA and CA19-9 levels were divided into completely different OS and DFS subgroups based on the risk stratification of the preoperative MLR. CONCLUSIONS Our results demonstrated that the preoperative MLR was a good prognosis indicator to predict DFS and OS following curative hepatectomy in patients with ICC.
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Affiliation(s)
- Bin-Feng Tao
- Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, He Di Rd. #71, Nanning, 530021, China
| | - Hai-Qiang Zhu
- Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, He Di Rd. #71, Nanning, 530021, China
| | - Lu-Nan Qi
- Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, He Di Rd. #71, Nanning, 530021, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Ministry of Education, Nanning, China
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, China
| | - Jian-Hong Zhong
- Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, He Di Rd. #71, Nanning, 530021, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Ministry of Education, Nanning, China
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, China
| | - Rong-Yun Mai
- Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, He Di Rd. #71, Nanning, 530021, China.
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Ministry of Education, Nanning, China.
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, China.
| | - Liang Ma
- Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, He Di Rd. #71, Nanning, 530021, China.
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Ministry of Education, Nanning, China.
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, China.
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Okada T, Shinkawa H, Taniuchi S, Kinoshita M, Nishio K, Ohira G, Kimura K, Tanaka S, Shintani A, Kubo S, Ishizawa T. Significance of Prediction Models for Post-Hepatectomy Liver Failure Based on Type IV Collagen 7s Domain in Patients with Hepatocellular Carcinoma. Cancers (Basel) 2024; 16:1938. [PMID: 38792016 PMCID: PMC11120429 DOI: 10.3390/cancers16101938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 05/26/2024] Open
Abstract
Background: Previous studies have attempted to establish predictive models for post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) undergoing liver resection. However, a versatile and useful predictive model for PHLF remains to be developed. Therefore, we aimed to develop predictive models for PHLF based on type IV collagen 7s domain (7s collagen) in patients with HCC. Methods: We retrospectively collected data from 972 patients with HCC who had undergone initial curative liver resection between February 2000 and December 2020 at our hospital. Multivariate logistic regression analysis using a restricted cubic spline was performed to evaluate the effect of 7s collagen on the incidence of PHLF. A nomogram was developed based on 7s collagen. Results: PHLF grades B or C were identified in 104 patients (11%): 98 (10%) and 6 (1%) PHLF grades B and C, respectively. Multivariate logistic regression analysis revealed that the preoperative serum level of 7s collagen was significantly associated with a proportional increase in the risk of PHLF, which was confirmed in both laparoscopic and open liver resections. A nomogram was developed based on 7s collagen, with a concordance index of 0.768. The inclusion of 7s collagen values in the predictive model increased the predictive accuracy. Conclusion: The findings highlight the efficacy of the serum level of 7s collagen as a predictive factor for PHLF. Our novel nomogram using 7s collagen may be useful for predicting the risk of PHLF.
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Affiliation(s)
- Takuma Okada
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
| | - Hiroji Shinkawa
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
| | - Satsuki Taniuchi
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (S.T.); (A.S.)
| | - Masahiko Kinoshita
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
| | - Kohei Nishio
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
| | - Go Ohira
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
| | - Kenjiro Kimura
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
| | - Shogo Tanaka
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
| | - Ayumi Shintani
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (S.T.); (A.S.)
| | - Shoji Kubo
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
| | - Takeaki Ishizawa
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 545-8595, Japan; (T.O.); (M.K.); (K.N.); (G.O.); (K.K.); (S.T.); (S.K.); (T.I.)
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Gambichler T, Becker JC, Susok L, Käpynen R, Abu Rached N. Model for End-Stage Liver Disease Correlates with Disease Relapse and Death of Patients with Merkel Cell Carcinoma. Cancers (Basel) 2023; 15:3195. [PMID: 37370805 DOI: 10.3390/cancers15123195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Merkel cell carcinoma (MCC) is a highly malignant skin tumor that occurs mainly in elderly and/or immunosuppressed patients. MCC prognosis has been significantly improved by the introduction of immune checkpoint inhibitor treatment. Recently, blood-based biomarkers have been investigated that can potentially predict the outcome of MCC patients. In this context, parameters of liver scores have not yet been investigated. We retrospectively recruited 47 MCC patients with available relevant laboratory data at primary diagnosis. At this time, we investigated blood-based scores as follows: model for end-stage liver disease (MELD), aspartate aminotransferase/platelet count ratio index (APRI), and the alanine transaminase/aspartate aminotransferase ratio (De Ritis ratio). MCC relapse was negatively correlated with the De Ritis score (r = -0.3, p = 0.024) and positively correlated with the MELD score (r = 0.3, p = 0.035). Moreover, MCC-specific death positively correlated with CCI score (r = 0.4, p = 0.01) and MELD score (r = 0.4, p = 0.003). In multivariable analysis, the MELD score remained in the regression model as significant independent predictor for MCC relapse (hazard ratio: 1.16 (95% CI 1.04 to 1.29; p = 0.008) and MCC-specific death (hazard ratio: 1.2 (95% CI 1.04 to 1.3; p = 0.009). We observed for the first time that the MELD score appears to independently predict both MCC relapse and MCC-specific death. These results should be further investigated in larger prospective studies.
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Affiliation(s)
- Thilo Gambichler
- Skin Cancer Center, Department of Dermatology, Ruhr-University Bochum, 44801 Bochum, Germany
- Department of Dermatology and Phlebology, Christian Hospital Unna, 59423 Unna, Germany
| | - Jürgen C Becker
- Translational Skin Cancer Research, DKTK Partner Site Essen/Düsseldorf, West German Cancer Center, Dermatology, University Duisburg-Essen, 45122 Essen, Germany
- German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Laura Susok
- Skin Cancer Center, Department of Dermatology, Ruhr-University Bochum, 44801 Bochum, Germany
- Department of Dermatology, Klinikum Dortmund gGmbH, 44137 Dortmund, Germany
| | - Riina Käpynen
- Skin Cancer Center, Department of Dermatology, Ruhr-University Bochum, 44801 Bochum, Germany
- International Centre for Hidradenitis Suppurativa/Acne Inversa (ICH), Department of Dermatology, Venereology and Allergology, Ruhr-University Bochum, 44801 Bochum, Germany
| | - Nessr Abu Rached
- Skin Cancer Center, Department of Dermatology, Ruhr-University Bochum, 44801 Bochum, Germany
- International Centre for Hidradenitis Suppurativa/Acne Inversa (ICH), Department of Dermatology, Venereology and Allergology, Ruhr-University Bochum, 44801 Bochum, Germany
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11
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Morandi A, Risaliti M, Montori M, Buccianti S, Bartolini I, Moraldi L. Predicting Post-Hepatectomy Liver Failure in HCC Patients: A Review of Liver Function Assessment Based on Laboratory Tests Scores. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1099. [PMID: 37374303 DOI: 10.3390/medicina59061099] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/30/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023]
Abstract
The assessment of liver function is crucial in predicting the risk of post-hepatectomy liver failure (PHLF) in patients undergoing liver resection, especially in cases of hepatocellular carcinoma (HCC) which is often associated with cirrhosis. There are currently no standardized criteria for predicting the risk of PHLF. Blood tests are often the first- and least invasive expensive method for assessing hepatic function. The Child-Pugh score (CP score) and the Model for End Stage Liver Disease (MELD) score are widely used tools for predicting PHLF, but they have some limitations. The CP score does not consider renal function, and the evaluation of ascites and encephalopathy is subjective. The MELD score can accurately predict outcomes in cirrhotic patients, but its predictive capabilities diminish in non-cirrhotic patients. The albumin-bilirubin score (ALBI) is based on serum bilirubin and albumin levels and allows the most accurate prediction of PHLF for HCC patients. However, this score does not consider liver cirrhosis or portal hypertension. To overcome this limitation, researchers suggest combining the ALBI score with platelet count, a surrogate marker of portal hypertension, into the platelet-albumin-bilirubin (PALBI) grade. Non-invasive markers of fibrosis, such as FIB-4 and APRI, are also available for predicting PHLF but they focus only on cirrhosis related aspects and are potentially incomplete in assessing the global liver function. To improve the predictive power of the PHLF of these models, it has been proposed to combine them into a new score, such as the ALBI-APRI score. In conclusion, blood test scores may be combined to achieve a better predictive value of PHLF. However, even if combined, they may not be sufficient to evaluate liver function and to predict PHLF; thus, the inclusion of dynamic and imaging tests such as liver volumetry and ICG r15 may be helpful to potentially improve the predictive capacity of these models.
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Affiliation(s)
- Alessio Morandi
- HPB Surgery Unit, Department of Experimental and Clinical Medicine, Azienda Ospedaliero Universitaria Careggi, 50134 Florence, Italy
| | - Matteo Risaliti
- HPB Surgery Unit, Department of Experimental and Clinical Medicine, Azienda Ospedaliero Universitaria Careggi, 50134 Florence, Italy
| | - Michele Montori
- Clinic of Gastroenterology, Hepatology, and Emergency Digestive Endoscopy, Università Politecnica delle Marche, 60126 Ancona, Italy
| | - Simone Buccianti
- HPB Surgery Unit, Department of Experimental and Clinical Medicine, Azienda Ospedaliero Universitaria Careggi, 50134 Florence, Italy
| | - Ilenia Bartolini
- HPB Surgery Unit, Department of Experimental and Clinical Medicine, Azienda Ospedaliero Universitaria Careggi, 50134 Florence, Italy
| | - Luca Moraldi
- HPB Surgery Unit, Department of Experimental and Clinical Medicine, Azienda Ospedaliero Universitaria Careggi, 50134 Florence, Italy
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12
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Yu Y, Li X, Wan T. Effects of Hepatitis B Virus Infection on Patients with COVID-19: A Meta-Analysis. Dig Dis Sci 2023; 68:1615-1631. [PMID: 36085229 PMCID: PMC9462612 DOI: 10.1007/s10620-022-07687-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 08/29/2022] [Indexed: 12/09/2022]
Abstract
BACKGROUND The COVID-19 pandemic has brought new problems to patients infected with hepatitis B virus (HBV). AIM We aim to know the effects of HBV infection on patients with COVID-19. METHODS We searched PubMed, Embase, and Web of Science for data and utilized Stata 14.0 software for this meta-analysis with a random-effects model. This paper was conducted in alignment with the preferred reporting items for systematic review and meta-analysis (PRISMA) guideline. RESULTS In total, 37,696 patients were divided into two groups: 2591 COVID-19 patients infected with HBV in the experimental group and 35,105 COVID-19 patients not infected with HBV in the control group. Our study showed that the in-hospital mortality of the experimental group was significant higher than that of the control group (OR = 2.04, 95% CI 1.49-2.79). We also found that COVID-19 patients infected with HBV were more likely to develop severe disease (OR = 1.90, 95% CI 1.32-2.73) than COVID-19 patients not infected with HBV. Upon measuring alanine aminotransferase (SMD = 0.62, 95% CI 0.25-0.98), aspartate aminotransferase (SMD = 0.60, 95% CI 0.30-0.91), total bilirubin (SMD = 0.45, 95% CI 0.23-0.67), direct bilirubin (SMD = 0.36, 95% CI 0.24-0.47), lactate dehydrogenase (SMD = 0.32, 95% CI 0.18-0.47), we found that HBV infection led to significantly higher laboratory results in COVID-19 patients. CONCLUSION COVID-19 patients infected with HBV should receive more attention, and special attention should be given to various liver function indices during treatment.
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Affiliation(s)
- Yang Yu
- Department of Hepatobiliary and Pancreatic Surgery, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin Province, China
| | - Xingzhao Li
- Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin Province, China
| | - Taihu Wan
- Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, 130033, Jilin Province, China.
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13
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Morino K, Seo S, Yoh T, Toda R, Yoshino K, Nishio T, Yamamoto G, Ishii T, Taura K, Hatano E. Impact of the Intermittent Pringle Maneuver for Predicting Post-hepatectomy Liver Failure: A Cohort Study of 597 Consecutive Patients. World J Surg 2023; 47:1058-1067. [PMID: 36633645 DOI: 10.1007/s00268-023-06904-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/25/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND Intermittent Pringle maneuver (PM) is widely performed to reduce blood loss during hepatectomy; however, its impact on clinically relevant post-hepatectomy liver failure (PHLF) remains controversial. This study aimed to assess the impact of PM on PHLF and explore whether PM provides additional value for predicting PHLF. METHODS Consecutive patients, who underwent hepatectomy without biliary and/or vascular reconstruction between 2011 and 2018 in a single institution, were retrospectively analyzed. The main outcome was PHLF grades B/C as defined by the International Study Group of Liver Surgery. A multivariable logistic regression model of variables significantly associated with PHLF was established. The model's predictive ability was assessed by the area under the receiver operating characteristic curve (AUROC). RESULTS Among 597 patients, PHLF occurred in 42 (7.0%). PM was applied in 421 patients (70.5%) and was associated with the development of PHLF (PM vs. no-PM: 9.7 vs. 0.6%, P < 0.001). After the propensity score matching, patients with PM experienced significantly increased rates of PHLF (P = 0.010). Rem-ALPlat index (including future liver remnant, preoperative albumin level, and platelet count; P < 0.001), the number of PMs (P = 0.032), and blood loss (P = 0.007) were identified as significant predictors of PHLF. The model's AUROC combined with the intraoperative variables was higher than that of the preoperative model alone (0.877 vs. 0.789, P = 0.004). CONCLUSIONS PM was involved in the occurrence of clinically relevant PHLF. Further, intraoperative factors including PM may provide additional value to predict PHLF and may facilitate early post-hepatectomy intervention.
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Affiliation(s)
- Koshiro Morino
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
- Department of Surgery, Tenri Hospital, Tenri, Japan
| | - Satoru Seo
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
- Department of Surgery, Kyoto Katsura Hospital, Kyoto, Japan.
| | - Tomoaki Yoh
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Rei Toda
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
- Department of Surgery, Mitsubishi Kyoto Hospital, Kyoto, Japan
| | - Kenji Yoshino
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
- Department of Surgery, Nishikobe Medical Center, Kobe, Japan
| | - Takahiro Nishio
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Gen Yamamoto
- Department of Surgery, Shiga General Hospital, Moriyama, Japan
| | - Takamichi Ishii
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Kojiro Taura
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
- Department of Surgery, Kitano Hospital, Osaka, Japan
| | - Etsuro Hatano
- Department of Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
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14
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Meng XQ, Miao H, Xia Y, Shen H, Qian Y, YanChen, Shen F, Guo J. A nomogram for predicting post-hepatectomy liver failure in patients with hepatocellular carcinoma based on spleen-volume-to-platelet ratio. Asian J Surg 2023; 46:399-404. [PMID: 35599113 DOI: 10.1016/j.asjsur.2022.05.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 04/04/2022] [Accepted: 05/06/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Post-hepatectomy liver failure (PHLF) is one of the most serious complications after hepatectomy in patients with hepatocellular carcinoma (HCC), and has an association with high morbidity and mortality. This study aimed to explore the risk factors of PHLF and to establish and validate a nomogram to predict PHLF. METHODS We retrospectively analyzed 971 HCC patients undergoing major liver resection at the Eastern Hepatobiliary Surgery Hospital between 2011 and 2016, and established a nomogram based on multivariate analyses for predicting PHLF. The predictive accuracy and discriminative ability of the nomogram were evaluated by concordance index (C-index) and calibration curve. The predictive ability of PHLF of this nomogram was compared with conventional models using receiver operating characteristic (ROC) curves. RESULTS The incidence of PHLF was 18.8%. Multivariate analysis identified age, BMI, preoperative ascites, preoperative prealbumin, spleen volume-to-platelet ratio, total bilirubin, and intraoperative blood loss as independent predictors of PHLF. The area under ROC curve (AUROC) of the predictive model was 0.668 and was higher than that of the albumin-bilirubin score (ALBI). The optimal cut-off value of the model was 124. CONCLUSIONS We constructed a nomogram for predicting PHLF based on risk factors. The nomogram can assist clinicians in identifying patients with high-risk PHLF, eventually facilitating earlier interventions and improving clinical outcomes.
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Affiliation(s)
- Xue-Qin Meng
- Department of Ultrasound, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China
| | - Hui Miao
- Department of Medical Genetics, College of Basic Medical Science, Second Military Medical University, Shanghai, China
| | - Yong Xia
- Department of Hepatic Surgery IV, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - Hao Shen
- Department of Hepatic Surgery IV, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - Yi Qian
- Department of Ultrasound, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China
| | - YanChen
- Department of Ultrasound, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China
| | - Feng Shen
- Department of Hepatic Surgery IV, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - Jia Guo
- Department of Ultrasound, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China.
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15
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Ashouri Y, Hsu CH, Riall TS, Konstantinidis IT, Maegawa FB. Aspartate Aminotransferase-to-Platelet Ratio Index Predicts Liver Failure After Resection of Colorectal Liver Metastases. Dig Dis Sci 2022; 67:4950-4958. [PMID: 34981310 DOI: 10.1007/s10620-021-07333-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/15/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Chemotherapy agents for metastatic colorectal cancer can cause liver injury, increasing the risk of post-hepatectomy liver failure after hepatectomy for metastases. The role of noninvasive fibrosis markers in this setting is not well established. AIMS To evaluate the aspartate aminotransferase-to-platelet ratio index (APRI) as a predictor of postoperative liver failure. METHODS The National Surgical Quality Improvement Program database was utilized to identify patients who received preoperative chemotherapy and underwent hepatectomy for colorectal metastases between 2015 and 2017. Concordance index analysis was conducted to determine APRI's contribution to the prediction of liver failure. The optimal cutoff value was defined and its ability to predict post-hepatectomy liver failure and perioperative bleeding were examined. RESULTS A total of 2374 patients were identified and included in the analysis. APRI demonstrated to be a better predictor of postoperative liver failure than MELD score, with a statistically significant larger area under the curve. The optimal APRI cutoff value to predict liver failure was 0.365. The multivariable logistic regression showed that APRI ≥ 0.365 was independently associated with PHLF, odds ratio (OR) 2.51, 95% confidence interval (CI) 1.67-3.77, P < .0001. Likewise, APRI ≥ 0.365 was independently associated with perioperative bleeding complications requiring transfusions, OR 1.41, 95% CI 1.13-1.77, P = 0.002. MELD score was not statistically associated with PHLF or bleeding complications. CONCLUSIONS APRI was independently associated with post-hepatectomy liver failure and perioperative bleeding requiring transfusions after resection of colorectal metastases in patients who received preoperative chemotherapy. Concordance index showed APRI to add significant contribution as a predictor of postoperative liver failure.
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Affiliation(s)
- Yazan Ashouri
- Department of Surgery, Southern Arizona VA Health Care System, University of Arizona, Tucson, AZ, USA
| | - Chiu-Hsieh Hsu
- Mel&Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Taylor S Riall
- Department of Surgery, University of Arizona, Tucson, AZ, USA
| | | | - Felipe B Maegawa
- Division of General and GI Surgery, Department of Surgery, Emory University, 5673 Peachtree Dunwoody Road, Suite 680, Atlanta, GA, 30342, USA.
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16
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Wang J, Zhang Z, Shang D, Liao Y, Yu P, Li J, Chen S, Liu D, Miao H, Li S, Zhang B, Huang A, Liu H, Zhang Y, Qi X. A Novel Nomogram for Prediction of Post-Hepatectomy Liver Failure in Patients with Resectable Hepatocellular Carcinoma: A Multicenter Study. J Hepatocell Carcinoma 2022; 9:901-912. [PMID: 36061234 PMCID: PMC9432387 DOI: 10.2147/jhc.s366937] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 07/14/2022] [Indexed: 01/27/2023] Open
Abstract
Objective To develop a nomogram for predicting post-hepatectomy liver failure (PHLF) in patients with resectable hepatocellular carcinoma (HCC) based on portal hypertension, the extent of resection, ALT, total bilirubin, and platelet count. Methods Patients with HCC hospitalized from January 2015 to December 2020 were included in a retrospective cohort study. 595 HCC patients were divided into a training cohort (n=416) and a validation cohort (n=179) by random sampling. Univariate and multivariable analyses were performed to identify the independent variables to predict PHLF. The nomogram models for predicting the overall risk of PHLF and the risk of PHLF B+C were constructed based on the independent variables. Comparisons were made by using receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) with traditional models, such as FIB-4 score, APRI score, CP class (Child-Pugh), MELD score (model of end-stage liver disease), and ALBI score (albumin-bilirubin) to analyze the accuracy and superiority of the nomogram. Results We discovered that portal hypertension (yes vs no) (OR=1.677,95% CI:1.817-4.083, p=0.002), the extent of liver resection (OR=1.872,95% CI:3.937-47.096, p=0.001), ALT (OR=1.003,95% CI:1.003-1.016, P=0.003), total bilirubin (OR=1.036,95% CI:1.031-1.184, p=0.005), and platelet count (OR= 1.004, 95% CI:0.982-0.998, p=0.020) were independent risk factors for PHLF using multifactorial analysis. The nomogram models were constructed using well-fit calibration curves for each of these five covariates. When compared to the FIB4, ALBI, MELD, and CP score, our nomogram models have a better predictive value for predicting the overall risk of PHLF or the risk of PHLF B+C. The validation cohort's results were consistent. DCA also confirmed the conclusion. Conclusion Our models, in the form of static nomogram or web application, were developed to predict PHLF overall risk and PHLF B+C risk in patients with HCC, with a high prediction sensitivity and specificity performance than other commonly used scoring systems.
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Affiliation(s)
- Jitao Wang
- Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, People’s Republic of China
- Xingtai Key Laboratory of Precision Medicine for Liver Cirrhosis and Portal Hypertension, Xingtai People’s Hospital of Hebei Medical University, Xingtai, People’s Republic of China
| | - Zhanguo Zhang
- Hepatic Surgery Center, Tongji Hospital, Tongji Hospital Affiliated to Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Dong Shang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, People’s Republic of China
| | - Yong Liao
- Xingtai Key Laboratory of Precision Medicine for Liver Cirrhosis and Portal Hypertension, Xingtai People’s Hospital of Hebei Medical University, Xingtai, People’s Republic of China
| | - Peng Yu
- Department of Hepatobiliary Surgery, Fifth Medical Center of PLA General Hospital, Beijing, People’s Republic of China
| | - Jinling Li
- Xingtai Key Laboratory of Precision Medicine for Liver Cirrhosis and Portal Hypertension, Xingtai People’s Hospital of Hebei Medical University, Xingtai, People’s Republic of China
| | - Shubo Chen
- Xingtai Key Laboratory of Precision Medicine for Liver Cirrhosis and Portal Hypertension, Xingtai People’s Hospital of Hebei Medical University, Xingtai, People’s Republic of China
| | - Dengxiang Liu
- Xingtai Key Laboratory of Precision Medicine for Liver Cirrhosis and Portal Hypertension, Xingtai People’s Hospital of Hebei Medical University, Xingtai, People’s Republic of China
| | - Hongrui Miao
- Hepatic Surgery Center, Tongji Hospital, Tongji Hospital Affiliated to Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Shuang Li
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, People’s Republic of China
| | - Biao Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, People’s Republic of China
| | - Anliang Huang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, People’s Republic of China
| | - Hao Liu
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Yewei Zhang
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China
| | - Xiaolong Qi
- Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, People’s Republic of China
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17
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Mai RY, Bai T, Luo XL, Wu GB. Indocyanine Green Retention Test as a Predictor of Postoperative Complications in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma. Ther Clin Risk Manag 2022; 18:761-772. [PMID: 35941916 PMCID: PMC9356704 DOI: 10.2147/tcrm.s363849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/01/2022] [Indexed: 01/27/2023] Open
Affiliation(s)
- Rong-Yun Mai
- Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021, People’s Republic of China
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, People’s Republic of China
| | - Tao Bai
- Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021, People’s Republic of China
| | - Xiao-Ling Luo
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, People’s Republic of China
| | - Guo-Bin Wu
- Department of Hepatobiliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021, People’s Republic of China
- Correspondence: Guo-Bin Wu; Xiao-Ling Luo, Email ;
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18
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Mai RY, Bai T, Luo XL, Wu GB. Preoperative fibrinogen-to-albumin ratio predicts the prognosis of patients with hepatocellular carcinoma subjected to hepatectomy. BMC Gastroenterol 2022; 22:261. [PMID: 35606690 PMCID: PMC9128092 DOI: 10.1186/s12876-022-02328-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 05/11/2022] [Indexed: 11/18/2022] Open
Abstract
Background Systemic inflammatory response (SIR) plays a crucial role in every step of tumorigenesis and development. More recently, the fibrinogen-to-albumin ratio (FAR), an inflammation-based model, was suggested as a prognostic maker for various cancer patients. This research aimed to estimate the prognostic abilities of FAR, neutrophil–lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet– lymphocyte ratio (PLR), and systemic immune–inflammation index (SII) in patients with hepatocellular carcinoma (HCC) subjected to curative hepatectomy. Methods A total of 1,502 cases who underwent hepatectomy for HCC were included. The predictive performances of FAR, NLR, MLR, PLR and SII were assessed with regards to overall survival (OS) and disease-free survival (DFS). The area under the time-dependent receiver operating characteristic curve was used to compare prognostic performances. Results Data revealed that FAR had higher predictive accuracy than other inflammation-based models and alpha-fetoprotein (AFP) in assessing OS and DFS. Indeed, the OS and DFS of patients with high FAR (> 8.9), differentiated by the optimal cut-off value of FAR, were remarkably reduced (p < 0.05 for OS and DFS). Multivariate Cox regression analyses identified that AFP, FAR, clinically significant portal hypertension, tumor size, Barcelona Clinical Liver Cancer staging system, major resection and blood loss were independent indicators for predicting OS and DFS. Furthermore, these patients could be classified according to their FAR into significantly different subgroups, regardless of AFP levels (p < 0.05 for DFS and OS). Similar results were obtained in other inflammation-based prognostic models. Conclusions Compared with NLR, MLR, PLR, SII and AFP, FAR showed significant advantages in predicting survival of HCC patients subjected to liver resection. Supplementary Information The online version contains supplementary material available at 10.1186/s12876-022-02328-4.
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Affiliation(s)
- Rong-Yun Mai
- Department of Hepatobilliary and Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021, China.,Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Tao Bai
- Department of Hepatobilliary and Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Xiao-Ling Luo
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China.
| | - Guo-Bin Wu
- Department of Hepatobilliary and Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning, 530021, China.
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Sarcopenia Predicts Major Complications after Resection for Primary Hepatocellular Carcinoma in Compensated Cirrhosis. Cancers (Basel) 2022; 14:cancers14081935. [PMID: 35454842 PMCID: PMC9025609 DOI: 10.3390/cancers14081935] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 04/07/2022] [Indexed: 01/27/2023] Open
Abstract
Simple Summary Sarcopenia, which is defined as a loss of skeletal muscle mass, function and strength, is the result of major metabolic changes often observed in advanced liver disease. Its evaluation mirrors the nutritional and functional status of the patients, and thus has been recently implicated as an outcome predictor of patients with liver diseases and hepatocellular carcinoma. This study provides evidence that sarcopenia, as assessed by the skeletal muscle index, is associated with age and body mass index in liver surgery candidates. More importantly, it is associated with higher rates of major complications (Clavien-Dindo grade III or IV) in patients with compensated advanced chronic liver disease and/or portal hypertension undergoing liver resection for primary hepatocellular carcinoma. Abstract The burden of post-operative complications of patients undergoing liver resection for hepatocellular carcinoma (HCC) is a cause of morbidity and mortality. Recently, sarcopenia has been reported to influence the outcome of patients with cirrhosis. We aimed to assess factors associated with sarcopenia and its prognostic role in liver surgery candidates. We included all patients with compensated advanced chronic liver disease (cACLD) undergoing liver resection for primary HCC consecutively referred to the University of Bologna from 2014 to 2019 with an available preoperative abdominal CT-scan performed within the previous three months. A total of 159 patients were included. The median age was 68 years, and 80.5% of the patients were male. Sarcopenia was present in 82 patients (51.6%). Age and body mass index (BMI) were associated with the presence of sarcopenia at multivariate analysis. Thirteen (8.2%) patients developed major complications and 14 (8.9%) presented PHLF grade B-C. The model for end-stage liver disease score was associated with the development of major complications, whereas cACLD presence, thrombocytopenia, portal hypertension (PH), Child-Pugh score and Albumin-Bilirubin score were found to be predictors of clinically significative PHLF. The rate of major complications was 11.8% in sarcopenic patients with cACLD compared with no complications (0%) in patients without sarcopenia and cACLD (p = 0.032). The rate of major complications was significantly higher in patients with (16.3%) vs. patients without (0%) sarcopenia (p = 0.012) in patients with PH. In conclusion, sarcopenia, which is associated with age and BMI, may improve the risk stratification of post-hepatectomy major complications in patients with cACLD and PH.
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20
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Mir ZM, Golding H, McKeown S, Nanji S, Flemming JA, Groome PA. Appraisal of multivariable prognostic models for post-operative liver decompensation following partial hepatectomy: a systematic review. HPB (Oxford) 2021; 23:1773-1788. [PMID: 34332894 DOI: 10.1016/j.hpb.2021.06.430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 06/20/2021] [Accepted: 06/28/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Few reports have evaluated prognostic modelling studies of tools used for surgical decision-making. This systematic review aimed to describe and critically appraise studies that have developed or validated multivariable prognostic models for post-operative liver decompensation following partial hepatectomy. METHODS This study was designed using the CHARMS checklist. Following a comprehensive literature search, two reviewers independently screened candidate references for inclusion and abstracted relevant study details. Qualitative assessment was performed using the PROBAST tool. RESULTS We identified 36 prognostic modelling studies; 25 focused on development only, 3 developed and validated models, and 8 validated pre-existing models. None compared routine use of a prognostic model against standard clinical practice. Most studies used single-institution, retrospective cohort designs, conducted in Eastern populations. In total, 15 different outcome definitions for post-operative liver decompensation events were used. Statistical concerns surrounding model overfitting, performance assessment, and internal validation led to high risk of bias for all studies. CONCLUSIONS Current prognostic models for post-operative liver decompensation following partial hepatectomy may not be valid for routine clinical use due to design and methodologic concerns. Landmark resources and reporting guidelines such as the TRIPOD statement may assist researchers, and additionally, model impact assessment studies represent opportunities for future research.
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Affiliation(s)
- Zuhaib M Mir
- Department of Surgery, Division of General Surgery, Queen's University, Kingston, ON, Canada; Department of Public Health Sciences, Queen's University, Kingston, ON, Canada.
| | - Haley Golding
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Sandra McKeown
- Bracken Health Sciences Library, Queen's University, Kingston, ON, Canada
| | - Sulaiman Nanji
- Department of Surgery, Division of General Surgery, Queen's University, Kingston, ON, Canada
| | - Jennifer A Flemming
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada; Department of Medicine, Division of Gastroenterology, Queen's University, Kingston, ON, Canada; Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, ON, Canada
| | - Patti A Groome
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada; Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, ON, Canada
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21
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Shi JY, Sun LY, Quan B, Xing H, Li C, Liang L, Pawlik TM, Zhou YH, Wang H, Gu WM, Chen TH, Lau WY, Shen F, Wang NY, Yang T. A novel online calculator based on noninvasive markers (ALBI and APRI) for predicting post-hepatectomy liver failure in patients with hepatocellular carcinoma. Clin Res Hepatol Gastroenterol 2021; 45:101534. [PMID: 33067168 DOI: 10.1016/j.clinre.2020.09.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 08/12/2020] [Accepted: 09/01/2020] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND AIM Post-hepatectomy liver failure (PHLF) remains the primary cause of in-hospital mortality after hepatectomy. Identifying predictors of PHLF is important to improve surgical safety. We sought to identify the predictive accuracy of two noninvasive markers, albumin-bilirubin (ALBI) and aspartate aminotransferase to platelet count ratio index (APRI), to predict PHLF among patients with hepatocellular carcinoma (HCC), and to build up an online prediction calculator. METHODS Patients who underwent resection for HCC between 2013 and 2016 at 6 Chinese hospitals were retrospectively analyzed. The independent predictors of PHLF were identified using univariate and multivariate analyses; derivative data were used to construct preoperative and postoperative nomogram models. Receiver operating characteristic (ROC) curves for the two predictive models, and ALBI, APRI, Child-Pugh, model for end-stage liver disease (MELD) scores were compared relative to predictive accuracy for PHLF. RESULTS Among the 767 patients in the analytic cohort, 102 (13.3%) experienced PHLF. Multivariable logistic regression analysis identified high ALBI grade (>-2.6) and high APRI grade (>1.5) as independent risk factors associated with PHLF in both the preoperative and postoperative models. Two nomogram predictive models and corresponding web-based calculators were subsequently constructed. The areas under the ROC curves for the postoperative and preoperative models, APRI, ALBI, MELD and Child-Pugh scores in predicting PHLF were 0.844, 0.789, 0.626, 0.609, 0.569, and 0.560, respectively. CONCLUSIONS ALBI and APRI demonstrated more accurate ability to predict PHLF than Child-Pugh and MELD. Two online calculators that combined ALBI and APRI were proposed as useful preoperative and postoperative tools for individually predicting the occurrence of PHLF among patients with HCC.
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Affiliation(s)
- Jin-Yu Shi
- The Cancer Center, the First Hospital of Jilin University, Changchun, China
| | - Li-Yang Sun
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China; Department of Clinical Medicine, Second Military Medical University (Naval Medical University), Shanghai, China
| | - Bing Quan
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China; Department of Clinical Medicine, Second Military Medical University (Naval Medical University), Shanghai, China
| | - Hao Xing
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China
| | - Chao Li
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China
| | - Lei Liang
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China
| | - Timothy M Pawlik
- Department of Surgery, Ohio State University, Wexner Medical Center, Columbus, OH, United States
| | - Ya-Hao Zhou
- Department of Hepatobiliary Surgery, Pu'er People's Hospital, Yunnan, China
| | - Hong Wang
- Department of General Surgery, Liuyang People's Hospital, Hunan, China
| | - Wei-Min Gu
- The First Department of General Surgery, The Fourth Hospital of Harbin, Heilongjiang, China
| | - Ting-Hao Chen
- Department of General Surgery, Ziyang First People's Hospital, Sichuan, China
| | - Wan Yee Lau
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China; Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, N.T., Hong Kong SAR, China
| | - Feng Shen
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China
| | - Nan-Ya Wang
- The Cancer Center, the First Hospital of Jilin University, Changchun, China.
| | - Tian Yang
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China.
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22
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Moris D, Shaw BI, Ong C, Connor A, Samoylova ML, Kesseli SJ, Abraham N, Gloria J, Schmitz R, Fitch ZW, Clary BM, Barbas AS. A simple scoring system to estimate perioperative mortality following liver resection for primary liver malignancy-the Hepatectomy Risk Score (HeRS). Hepatobiliary Surg Nutr 2021; 10:315-324. [PMID: 34159159 DOI: 10.21037/hbsn.2020.03.12] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Background Selection of the optimal treatment modality for primary liver cancers remains complex, balancing patient condition, liver function, and extent of disease. In individuals with preserved liver function, liver resection remains the primary approach for treatment with curative intent but may be associated with significant mortality. The purpose of this study was to establish a simple scoring system based on Model for End-stage Liver Disease (MELD) and extent of resection to guide risk assessment for liver resections. Methods The 2005-2015 NSQIP database was queried for patients undergoing liver resection for primary liver malignancy. We first developed a model that incorporated the extent of resection (1 point for major hepatectomy) and a MELD-Na score category of low (MELD-Na =6, 1 point), medium (MELD-Na =7-10, 2 points) or high (MELD-Na >10, 3 points) with a score range of 1-4, called the Hepatic Resection Risk Score (HeRS). We tested the predictive value of this model on the dataset using logistic regression. We next developed an optimal multivariable model using backwards sequential selection of variables under logistic regression. We performed K-fold cross validation on both models. Receiver operating characteristics were plotted and the optimal sensitivity and specificity for each model were calculated to obtain positive and negative predictive values. Results A total of 4,510 patients were included. HeRS was associated with increased odds of 30-day mortality [HeRS =2: OR =3.23 (1.16-8.99), P=0.025; HeRS =3: OR =6.54 (2.39-17.90), P<0.001; HeRS =4: OR =13.69 (4.90-38.22), P<0.001]. The AUC for this model was 0.66. The AUC for the optimal multivariable model was higher at 0.76. Under K-fold cross validation, the positive predictive value (PPV) and negative predictive value (NPV) of these two models were similar at PPV =6.4% and NPV =97.7% for the HeRS only model and PPV =8.4% and NPV =98.1% for the optimal multivariable model. Conclusions The HeRS offers a simple heuristic for estimating 30-day mortality after resection of primary liver malignancy. More complicated models offer better performance but at the expense of being more difficult to integrate into clinical practice.
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Affiliation(s)
- Dimitrios Moris
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Brian I Shaw
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Cecilia Ong
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Ashton Connor
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | | | - Samuel J Kesseli
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Nader Abraham
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Jared Gloria
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Robin Schmitz
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Zachary W Fitch
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Bryan M Clary
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Andrew S Barbas
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
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23
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Pang Q, Zhou S, Liu S, Liu H, Lu Z. Prognostic role of preoperative albumin-bilirubin score in posthepatectomy liver failure and mortality: a systematic review and meta-analysis. Updates Surg 2021; 74:821-831. [PMID: 34013432 DOI: 10.1007/s13304-021-01080-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/03/2021] [Indexed: 01/27/2023]
Abstract
Posthepatectomy liver failure (PHLF) is a life-threatening complication after liver resection, resulting in an increased morbidity and mortality. Epidemiological evidence of the association between preoperative albumin-bilirubin (ALBI) score, a newly established model for assessing liver functional reserve, and the risk of PHLF and mortality remains controversial. A systematical search for relevant literature was performed in PubMed, Embase, and Web of Science databases from December 2014 to September 2020. Odds ratio (OR) value and 95% confidence interval (CI) were extracted or calculated to synthetically estimate the association of preoperative ALBI score with PHLF and mortality. Meta-analyses were performed using a random-effects model. Twelve studies with a total of 21,348 patients were included in this meta-analysis. It was indicated that, compared to patients with a lower preoperative ALBI grade, patients with a higher grade had a significantly elevated risk of PHLF (6 studies, 18,291 patients; OR = 2.48, 95%CI: 2.00-3.07) and mortality (4 studies15, 139 patients; OR = 2.35, 95% CI: 1.38-4.00). In addition, when it was expressed as a continuous variable, ALBI was also a significant predictor of PHLF (6 studies, 3,833 patients; OR = 3.16, 95% CI: 2.07-4.81, per 1-point increase in ALBI score). No significant publication biases were detected as suggested by funnel plots inspection and Begg's tests. The current meta-analysis demonstrates that preoperative elevated ALBI is associated with higher risk of PHLF and mortality after hepatectomy.
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Affiliation(s)
- Qing Pang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China
| | - Shuai Zhou
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China
| | - Shuangchi Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China
| | - Huichun Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China. .,Department of General Surgery, Anhui No. 2 Provincial People's Hospital, Hefei, Anhui, 230041, China.
| | - Zheng Lu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, 233000, China.
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24
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Marasco G, Alemanni LV, Colecchia A, Festi D, Bazzoli F, Mazzella G, Montagnani M, Azzaroli F. Prognostic Value of the Albumin-Bilirubin Grade for the Prediction of Post-Hepatectomy Liver Failure: A Systematic Review and Meta-Analysis. J Clin Med 2021; 10:2011. [PMID: 34066674 PMCID: PMC8125808 DOI: 10.3390/jcm10092011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/15/2021] [Accepted: 04/29/2021] [Indexed: 02/06/2023] Open
Abstract
(1) Introduction: Liver resection (LR) for hepatocellular carcinoma (HCC) is often burdened by life-threatening complications, such as post-hepatectomy liver failure (PHLF). The albumin-bilirubin (ALBI) score can accurately evaluate liver function and the long-term prognosis of HCC patients, including PHLF. We aimed to evaluate the diagnostic value of the ALBI grade in predicting PHLF in HCC patients undergoing LR. (2) Methods: MEDLINE, Embase, and Scopus were searched through January 17th, 2021. Studies reporting the ALBI grade and PHLF occurrence in HCC patients undergoing LR were included. The Odds Ratio (OR) prevalence with 95% confidence intervals (CI) was pooled, and the heterogeneity was expressed as I2. The quality of the studies was assessed using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies). (3) Results: Seven studies met the inclusion criteria and were included in the analysis. A total of 5377 patients who underwent LR for HCC were considered, of whom 718 (13.4%) developed PHLF. Patients with ALBI grades 2 and 3 before LR showed increased rates of PHLF compared to ALBI grade 1 patients. The pooled OR was 2.572 (95% CI, 1.825 to 3.626, p < 0.001), with substantial heterogeneity between the studies (I2 = 69.6%) and no publication bias (Begg's p = 0.764 and Egger's p = 0.851 tests). All studies were at a 'low risk' or 'unclear risk' of bias. Univariate meta-regression analysis showed that heterogeneity was not dependent on the country of study, the age and sex of the participants, the definition of PHLF used, the rate of patients in Child-Pugh class A or undergoing major hepatectomy. (4) Conclusions: In this meta-analysis of published studies, individuals with ALBI grades of 2 and 3 showed increased rates of PHLF compared to ALBI grade 1 patients.
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Affiliation(s)
- Giovanni Marasco
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Luigina Vanessa Alemanni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Antonio Colecchia
- Gastroenterology Unit, University Hospital Borgo Trento, 37100 Verona, Italy;
| | - Davide Festi
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Franco Bazzoli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Giuseppe Mazzella
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Marco Montagnani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
| | - Francesco Azzaroli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (L.V.A.); (F.B.); (M.M.); (F.A.)
- Department of Medical and Surgical Science, University of Bologna, 40126 Bologna, Italy; (D.F.); (G.M.)
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25
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Mai RY, Zeng J, Meng WD, Lu HZ, Liang R, Lin Y, Wu GB, Li LQ, Ma L, Ye JZ, Bai T. Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion. BMC Cancer 2021; 21:283. [PMID: 33726693 PMCID: PMC7962237 DOI: 10.1186/s12885-021-07969-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 02/24/2021] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular carcinoma (HCC) is vital in determining postoperative adjuvant treatment and monitoring. This study aimed to develop and validate an artificial neural network (ANN) model to predict PHER in HCC patients without macroscopic vascular invasion. METHODS Nine hundred and three patients who underwent curative liver resection for HCC participated in this study. They were randomly divided into derivation (n = 679) and validation (n = 224) cohorts. The ANN model was developed in the derivation cohort and subsequently verified in the validation cohort. RESULTS PHER morbidity in the derivation and validation cohorts was 34.8 and 39.2%, respectively. A multivariable analysis revealed that hepatitis B virus deoxyribonucleic acid load, γ-glutamyl transpeptidase level, α-fetoprotein level, tumor size, tumor differentiation, microvascular invasion, satellite nodules, and blood loss were significantly associated with PHER. These factors were incorporated into an ANN model, which displayed greater discriminatory abilities than a Cox's proportional hazards model, preexisting recurrence models, and commonly used staging systems for predicting PHER. The recurrence-free survival curves were significantly different between patients that had been stratified into two risk groups. CONCLUSION When compared to other models and staging systems, the ANN model has a significant advantage in predicting PHER for HCC patients without macroscopic vascular invasion.
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Affiliation(s)
- Rong-Yun Mai
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Jie Zeng
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Wei-da Meng
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Hua-Ze Lu
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Rong Liang
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
- Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Yan Lin
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
- Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Guo-Bin Wu
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Le-Qun Li
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Liang Ma
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Jia-Zhou Ye
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China.
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China.
| | - Tao Bai
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, China.
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China.
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26
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Chen Y, Liu Z, Mo Y, Li B, Zhou Q, Peng S, Li S, Kuang M. Prediction of Post-hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma Based on Radiomics Using Gd-EOB-DTPA-Enhanced MRI: The Liver Failure Model. Front Oncol 2021; 11:605296. [PMID: 33777748 PMCID: PMC7987905 DOI: 10.3389/fonc.2021.605296] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 02/18/2021] [Indexed: 12/12/2022] Open
Abstract
Objectives: Preoperative prediction of post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) is significant for developing appropriate treatment strategies. We aimed to establish a radiomics-based clinical model for preoperative prediction of PHLF in HCC patients using gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI). Methods: A total of 144 HCC patients from two medical centers were included, with 111 patients as the training cohort and 33 patients as the test cohort, respectively. Radiomics features and clinical variables were selected to construct a radiomics model and a clinical model, respectively. A combined logistic regression model, the liver failure (LF) model that incorporated the developed radiomics signature and clinical risk factors was then constructed. The performance of these models was evaluated and compared by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC) with 95% confidence interval (CI). Results: The radiomics model showed a higher AUC than the clinical model in the training cohort and the test cohort for predicting PHLF in HCC patients. Moreover, the LF model had the highest AUCs in both cohorts [0.956 (95% CI: 0.955–0.962) and 0.844 (95% CI: 0.833–0.886), respectively], compared with the radiomics model and the clinical model. Conclusions: We evaluated quantitative radiomics features from MRI images and presented an externally validated radiomics-based clinical model, the LF model for the prediction of PHLF in HCC patients, which could assist clinicians in making treatment strategies before surgery.
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Affiliation(s)
- Yuyan Chen
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zelong Liu
- Division of Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yunxian Mo
- State Key Laboratory of Oncology in South China, Department of Radiology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bin Li
- Clinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qian Zhou
- Clinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Sui Peng
- Clinical Trial Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.,Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shaoqiang Li
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ming Kuang
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.,Division of Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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27
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Mai RY, Zeng J, Lu HZ, Liang R, Lin Y, Piao XM, Gao X, Wu GB, Wu FX, Ma L, Xiang BD, Li LQ, Ye JZ. Combining Aspartate Aminotransferase-to-Platelet Ratio Index with Future Liver Remnant to Assess Preoperative Hepatic Functional Reserve in Patients with Hepatocellular Carcinoma. J Gastrointest Surg 2021; 25:688-697. [PMID: 32274631 DOI: 10.1007/s11605-020-04575-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 03/16/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Accurate preoperative assessment of hepatic functional reserve is essential for conducting a safe hepatectomy. In recent years, aspartate aminotransferase-to-platelet ratio index (APRI) has been used as a noninvasive model for assessing fibrosis stage, hepatic functional reserve, and prognosis after hepatectomy with a high level of accuracy. The purpose of this research was to evaluate the clinical value of combining APRI with standardized future liver remnant (sFLR) for predicting severe post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC). METHODS Six hundred thirty-seven HCC patients who had undergone hepatectomy were enrolled in this study. The performance of the Child-Pugh (CP) grade, model for end-stage liver disease (MELD), APRI, sFLR, and APRI-sFLR in predicting severe PHLF was assessed using the area under the ROC curve (AUC). RESULTS Severe PHLF was found to have developed in 101 (15.9%) patients. Multivariate logistic analyses identified that prealbumin, cirrhosis, APRI score, sFLR, and major resection were significantly associated with severe PHLF. The AUC values of the CP, MELD, APRI, and sFLR were 0.626, 0.604, 0.725, and 0.787, respectively, indicating that the APRI and sFLR showed significantly greater discriminatory abilities than CP and MELD (P < 0.05 for all). After APRI was combined with sFLR, the AUC value of APRI-sFLR for severe PHLF was 0.816, which greatly improved the prediction accuracy, compared with APRI or sFLR alone (P < 0.05 for all). Stratified analysis using the status of cirrhosis and extent of resection yielded similar results. Moreover, the incidence and grade of PHLF were significantly different among the three risk groups. CONCLUSION The combination of APRI and sFLR can be considered to be a predictive factor with increased accuracy for severe PHLF in HCC patients, compared with CP grade, MELD, APRI, or sFLR alone.
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Affiliation(s)
- Rong-Yun Mai
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, 530021, China
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Jie Zeng
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Hua-Ze Lu
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Rong Liang
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
- Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Yan Lin
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
- Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Xue-Min Piao
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
- Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Xing Gao
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
- Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning, 530021, China
| | - Guo-Bin Wu
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Fei-Xiang Wu
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Liang Ma
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Bang-de Xiang
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, 530021, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China
| | - Le-Qun Li
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, 530021, China.
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China.
| | - Jia-Zhou Ye
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning, 530021, China.
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, 530021, China.
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Ju BJ, Jin M, Tian Y, Zhen X, Kong DX, Wang WL, Yan S. Model for liver hardness using two-dimensional shear wave elastography, durometer, and preoperative biomarkers. World J Gastrointest Surg 2021; 13:127-140. [PMID: 33643533 PMCID: PMC7898182 DOI: 10.4240/wjgs.v13.i2.127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 11/27/2020] [Accepted: 12/17/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Post-hepatectomy liver failure (PHLF) increases morbidity and mortality after liver resection for patients with advanced liver fibrosis and cirrhosis. Preoperative liver stiffness using two-dimensional shear wave elastography (2D-SWE) is widely used to evaluate the degree of fibrosis. However, the 2D-SWE results were not accurate. A durometer measures hardness by quantifying the ability of a material to locally resist the intrusion of hard objects into its surface. However, the durometer score can only be obtained during surgery.
AIM To measure correlations among 2D-SWE, palpation by surgeons, and durometer-measured objective liver hardness and to construct a liver hardness regression model.
METHODS We enrolled 74 hepatectomy patients with liver hardness in a derivation cohort. Tactile-based liver hardness scores (0-100) were determined through palpation of the liver tissue by surgeons. Additionally, liver hardness was measured using a durometer. Correlation coefficients for durometer-measured hardness and preoperative parameters were calculated. Multiple linear regression models were constructed to select the best predictive durometer scale. Receiver operating characteristic (ROC) curves and univariate and multivariate analyses were used to calculate the best model’s prediction of PHLF and risk factors for PHLF, respectively. A separate validation cohort (n = 162) was used to evaluate the model.
RESULTS The stiffness measured using 2D-SWE and palpation scale had good linear correlation with durometer-measured hardness (Pearson rank correlation coefficient 0.704 and 0.729, respectively, P < 0.001). The best model for the durometer scale (hardness scale model) was based on stiffness, hepatitis B virus surface antigen, and albumin level and had an R2 value of 0.580. The area under the ROC for the durometer and hardness scale for PHLF prediction were 0.807 (P = 0.002) and 0.785 (P = 0.005), respectively. The optimal cutoff value of the durometer and hardness scale was 27.38 (sensitivity = 0.900, specificity = 0.660) and 27.87 (sensitivity = 0.700, specificity = 0.787), respectively. Patients with a hardness scale score of > 27.87 were at a significantly higher risk of PHLF with hazard ratios of 7.835 (P = 0.015). The model’s PHLF predictive ability was confirmed in the validation cohort.
CONCLUSION Liver stiffness assessed by 2D-SWE and palpation correlated well with durometer hardness values. The multiple linear regression model predicted durometer hardness values and PHLF.
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Affiliation(s)
- Bing-Jie Ju
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Clinical Medicine Innovation Center of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Disease of Zhejiang University, Hangzhou 310009, Zhejiang Province, China
- Clinical Research Center of Hepatobiliary and Pancreatic Diseases of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
| | - Ming Jin
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Clinical Medicine Innovation Center of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Disease of Zhejiang University, Hangzhou 310009, Zhejiang Province, China
- Clinical Research Center of Hepatobiliary and Pancreatic Diseases of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
| | - Yang Tian
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Clinical Medicine Innovation Center of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Disease of Zhejiang University, Hangzhou 310009, Zhejiang Province, China
- Clinical Research Center of Hepatobiliary and Pancreatic Diseases of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
| | - Xiang Zhen
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Clinical Medicine Innovation Center of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Disease of Zhejiang University, Hangzhou 310009, Zhejiang Province, China
- Clinical Research Center of Hepatobiliary and Pancreatic Diseases of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
| | - De-Xing Kong
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
- School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, Zhejiang Province, China
| | - Wei-Lin Wang
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Clinical Medicine Innovation Center of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Disease of Zhejiang University, Hangzhou 310009, Zhejiang Province, China
- Clinical Research Center of Hepatobiliary and Pancreatic Diseases of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
| | - Sheng Yan
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
- Clinical Medicine Innovation Center of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Disease of Zhejiang University, Hangzhou 310009, Zhejiang Province, China
- Clinical Research Center of Hepatobiliary and Pancreatic Diseases of Zhejiang Province, Hangzhou 310009, Zhejiang Province, China
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Sun LY, Zhu H, Diao YK, Xing H, Liang L, Li J, Zhou YH, Gu WM, Chen TH, Zeng YY, Pawlik TM, Lau WY, Li C, Shen F, Zhang CW, Yang T. A novel online calculator based on albumin-bilirubin and aspartate transaminase-to-platelet ratio index for predicting postoperative morbidity following hepatectomy for hepatocellular carcinoma. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1591. [PMID: 33437790 PMCID: PMC7791207 DOI: 10.21037/atm-20-1421] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Email zhangchengwuzr@hotmail.com; Prof. Tian Yang, MD. Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai 200438, China. Email: yangtiandfgd@hotmail.com. Background Identifying patients at high risks of developing postoperative morbidity is important to improve perioperative outcomes. We sought to define the accuracy of two objective and non-invasive serological-based scores, i.e., albumin-bilirubin (ALBI) and aspartate transaminase-to-platelet ratio index (APRI), to predict postoperative morbidity among patients undergoing hepatectomy for hepatocellular carcinoma (HCC), and build up a personalized predictive tool for clinical practice. Methods Clinical data of patients who underwent hepatectomy for HCC at 8 hospitals from a multicenter database were retrospectively analyzed. The predictive accuracy of ALBI and APRI relative to 30-day overall and major morbidity were evaluated using area under the receiver operating characteristic curves (AUC). Based on multivariable logistic regression analyses, preoperative and postoperative nomogram models and consequent online calculators were constructed to predict overall and major morbidity, respectively. Results Among 2,301 patients, 725 (31.5%) experienced postoperative complications (major morbidity, 35.9%, 260/725). Multivariable analyses identified high ALBI grade (>−2.6) and APRI grade (>1.5) as independent risk factors associated with overall and major morbidity in both preoperative and postoperative prediction models. Two nomogram predictive models and corresponding online calculators that combined ALBI and APRI were subsequently constructed. The AUCs of the preoperative and postoperative models were 0.728 and 0.742 to predict overall morbidity, and 0.739 and 0.713 to predict major morbidity, respectively, which were much higher than those of Child-Pugh score and the model for end-stage liver disease (MELD). Using the bootstrap validation method, the resulting models were internally validated well. Conclusions Preoperative ALBI and APRI scores can predict postoperative morbidity following hepatectomy for HCC. An easy-to-use online calculator that combined ALBI and APRI was proposed for individually predicting the probabilities of postoperative overall and major morbidity before and immediately after surgery, so as to provide useful information to inform conversations about surgical risks.
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Affiliation(s)
- Li-Yang Sun
- Department of Hepatobiliary, Pancreatic and Minimal Invasive Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Hong Zhu
- Department of Medical Oncology, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yong-Kang Diao
- Department of Hepatobiliary, Pancreatic and Minimal Invasive Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Hao Xing
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China
| | - Lei Liang
- Department of Hepatobiliary, Pancreatic and Minimal Invasive Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Jie Li
- Department of Hepatobiliary Surgery, Fuyang People's Hospital, Fuyang, China
| | - Ya-Hao Zhou
- Department of Hepatobiliary Surgery, Pu'er People's Hospital, Pu'er, China
| | - Wei-Min Gu
- The First Department of General Surgery, the Fourth Hospital of Harbin, Harbin, China
| | - Ting-Hao Chen
- Department of General Surgery, Ziyang First People's Hospital, Ziyang, China
| | - Yong-Yi Zeng
- Department of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital, Fujian Medical University, Fuzhou, China
| | - Timothy M Pawlik
- Department of Surgery, Ohio State University, Wexner Medical Center, Columbus, OH, USA
| | - Wan Yee Lau
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China.,Faculty of Medicine, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Chao Li
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China
| | - Feng Shen
- Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China
| | - Cheng-Wu Zhang
- Department of Hepatobiliary, Pancreatic and Minimal Invasive Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Tian Yang
- Department of Hepatobiliary, Pancreatic and Minimal Invasive Surgery, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.,Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China
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Ye JZ, Mai RY, Guo WX, Wang YY, Ma L, Xiang BD, Cheng SQ, Li LQ. Nomogram for prediction of the international study Group of Liver Surgery (ISGLS) grade B/C Posthepatectomy liver failure in HBV-related hepatocellular carcinoma patients: an external validation and prospective application study. BMC Cancer 2020; 20:1036. [PMID: 33115425 PMCID: PMC7592579 DOI: 10.1186/s12885-020-07480-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 10/01/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND To develop a nomogram for predicting the International Study Group of Liver Surgery (ISGLS) grade B/C posthepatectomy liver failure (PHLF) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients. METHODS Patients initially treated with hepatectomy were included. Univariate regression analysis and stochastic forest algorithm were applied to extract the core indicators and reduce redundancy bias. The nomogram was then constructed by using multivariate logistic regression, and validated in internal and external cohorts, and a prospective clinical application. RESULTS There were 900, 300 and 387 participants in training, internal and external validation cohorts, with the morbidity of grade B/C PHLF were 13.5, 11.0 and 20.2%, respectively. The nomogram was generated by integrating preoperative total bilirubin, platelet count, prealbumin, aspartate aminotransferase, prothrombin time and standard future liver remnant volume, then achieved good prediction performance in training (AUC = 0.868, 95%CI = 0.836-0.900), internal validation (AUC = 0.868, 95%CI = 0.811-0.926) and external validation cohorts (AUC = 0.820, 95%CI = 0.756-0.861), with well-fitted calibration curves. Negative predictive values were significantly higher than positive predictive values in training cohort (97.6% vs. 33.0%), internal validation cohort (97.4% vs. 25.9%) and external validation cohort (94.3% vs. 41.1%), respectively. Patients who had a nomogram score < 169 or ≧169 were considered to have low or high risk of grade B/C PHLF. Prospective application of the nomogram accurately predicted grade B/C PHLF in clinical practise. CONCLUSIONS The nomogram has a good performance in predicting ISGLS grade B/C PHLF in HBV-related HCC patients and determining appropriate candidates for hepatectomy.
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Affiliation(s)
- Jia-Zhou Ye
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
- Department of Hepatobiliary Surgery, Affiliated Tumour Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Rong-Yun Mai
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
- Department of Hepatobiliary Surgery, Affiliated Tumour Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Wei-Xing Guo
- Department of Hepatic Suegery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, 200438, China
| | - Yan-Yan Wang
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Beijing, China
| | - Liang Ma
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Bang-de Xiang
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
- Department of Surgery, Prince of Wales Hospital, Chinese University of Hong Kong, Hong Kong, China
| | - Shu-Qun Cheng
- Department of Hepatobiliary Surgery, Affiliated Tumour Hospital of Guangxi Medical University, Nanning, 530021, China.
- National Research Cooperative Group for Diagnosis and Treatment of Hepatocellular Carcinoma with Tumour Thrombus, Shanghai, China.
| | - Le-Qun Li
- Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
- Department of Hepatobiliary Surgery, Affiliated Tumour Hospital of Guangxi Medical University, Nanning, 530021, China.
- National Research Cooperative Group for Diagnosis and Treatment of Hepatocellular Carcinoma with Tumour Thrombus, Shanghai, China.
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Mai RY, Lu HZ, Bai T, Liang R, Lin Y, Ma L, Xiang BD, Wu GB, Li LQ, Ye JZ. Artificial neural network model for preoperative prediction of severe liver failure after hemihepatectomy in patients with hepatocellular carcinoma. Surgery 2020; 168:643-652. [DOI: 10.1016/j.surg.2020.06.031] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/07/2020] [Accepted: 06/23/2020] [Indexed: 02/06/2023]
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Bannaga A, Arasaradnam RP. Neutrophil to lymphocyte ratio and albumin bilirubin grade in hepatocellular carcinoma: A systematic review. World J Gastroenterol 2020; 26:5022-5049. [PMID: 32952347 PMCID: PMC7476180 DOI: 10.3748/wjg.v26.i33.5022] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 08/10/2020] [Accepted: 08/25/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is a frequent cause of cancer related death globally. Neutrophil to lymphocyte ratio (NLR) and albumin bilirubin (ALBI) grade are emerging prognostic indicators in HCC.
AIM To study published literature of NLR and ALBI over the last five years, and to validate NLR and ALBI locally in our centre as indicators of HCC survival.
METHODS A systematic review of the published literature on PubMed of NLR and ALBI in HCC over the last five years. The search followed the guidelines of the preferred reporting items for systematic reviews and meta-analyses. Additionally, we also investigated HCC cases between December 2013 and December 2018 in our centre.
RESULTS There were 54 studies describing the relation between HCC and NLR and 95 studies describing the relation between HCC and ALBI grade over the last five years. Our local cohort of patients showed NLR to have a significant negative relationship to survival (P = 0.011). There was also significant inverse relationship between the size of the largest HCC nodule and survival (P = 0.009). Median survival with alpha fetoprotein (AFP) < 10 KU/L was 20 mo and with AFP > 10 KU/L was 5 mo. We found that AFP was inversely related to survival, this relationship was not statically significant (P = 0.132). Mean survival for ALBI grade 1 was 37.7 mo, ALBI grade 2 was 13.4 months and ALBI grade 3 was 4.5 mo. ALBI grades performed better than Child Turcotte Pugh score in detecting death from HCC.
CONCLUSION NLR and ALBI grade in HCC predict survival better than the conventional alpha fetoprotein. ALBI grade performs better than Child Turcotte Pugh score. These markers are done as part of routine clinical care and in cases of normal alpha fetoprotein, these markers could give a better understanding of the patient disease progression. NLR and ALBI grade could have a role in modified easier to learn staging and prognostic systems for HCC.
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Affiliation(s)
- Ayman Bannaga
- Department of Gastroenterology and Hepatology, University Hospital Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, West Midlands, United Kingdom
- Warwick Medical School, University of Warwick, Coventry CV4 7HL, West Midlands, United Kingdom
| | - Ramesh P Arasaradnam
- Department of Gastroenterology and Hepatology, University Hospital Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, West Midlands, United Kingdom
- Warwick Medical School, University of Warwick, Coventry CV4 7HL, West Midlands, United Kingdom
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Issues to be considered to address the future liver remnant prior to major hepatectomy. Surg Today 2020; 51:472-484. [PMID: 32894345 DOI: 10.1007/s00595-020-02088-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 07/08/2020] [Indexed: 02/08/2023]
Abstract
An accurate preoperative evaluation of the hepatic function and application of portal vein embolization in selected patients have helped improve the safety of major hepatectomy. In planning major hepatectomy, however, several issues remain to be addressed. The first is which cut-off values for serum total bilirubin level and prothrombin time should be used to define post-hepatectomy liver failure. Other issues include what minimum future liver remnant (FLR) volume is required; whether the total liver volume measured using computed tomography or the standard liver volume calculated based on the body surface area should be used to assess the adequacy of the FLR volume; whether there is a discrepancy between the FLR volume and function during the recovery period after portal vein embolization or hepatectomy; and how best the function of a specific FLR can be assessed. Various studies concerning these issues have been reported with controversial results. We should also be aware that different strategies and management are required for different types of liver damage, such as cirrhosis in hepatocellular carcinoma, cholangitis in biliary tract cancer, and chemotherapy-induced hepatic injury.
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Shi JY, Wang NY. Is ALPlat criterion justified for predicting posthepatectomy liver failure? Surgery 2020; 168:1180. [PMID: 32682506 DOI: 10.1016/j.surg.2020.05.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 05/18/2020] [Indexed: 02/08/2023]
Affiliation(s)
- Jin-Yu Shi
- The Cancer Center, Jilin University First Hospital, Jilin, China
| | - Nan-Ya Wang
- The Cancer Center, Jilin University First Hospital, Jilin, China.
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Mai RY, Zeng J, Mo YS, Liang R, Lin Y, Wu SS, Piao XM, Gao X, Wu GB, Li LQ, Ye JZ. Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma. Ther Clin Risk Manag 2020; 16:639-649. [PMID: 32764948 PMCID: PMC7381792 DOI: 10.2147/tcrm.s257218] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 05/22/2020] [Indexed: 01/27/2023] Open
Abstract
Background Testing for the presence of liver cirrhosis (LC) is one of the most critical diagnostic and prognostic assessments for patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). More non-invasive tools are needed to diagnose LC but the predictive abilities of current models are still inconclusive. This study aimed to develop and validate a novel and non-invasive artificial neural network (ANN) model for diagnosing LC in patients with HBV-related HCC using routine laboratory serological indicators. Methods A total of 1152 HBV-related HCC patients who underwent hepatectomy were included and randomly divided into the training set (n = 864, 75%) and validation set (n = 288, 25%). The ANN model was constructed from the training set using multivariate Logistic regression analysis and then verified in the validation set. Results The morbidity of LC in the training and validation sets was 41.2% and 46.8%, respectively. Multivariate analysis showed that age, platelet count, prothrombin time and total bilirubin were independent risk factors for LC (P < 0.05). The area under the ROC curve (AUC) analyses revealed that the ANN model had higher predictive accuracy than the Logistic model (ANN: 0.757 vs Logistic: 0.721; P < 0.001), and other scoring systems (ANN: 0.757 vs CP: 0.532, MELD: 0.594, ALBI: 0.575, APRI: 0.621, FIB-4: 0.644, AAR: 0.491, and GPR: 0.604; P < 0.05 for all) in diagnosing LC. Similar results were obtained in the validation set. Conclusion The ANN model has better diagnostic capabilities than other commonly used models and scoring systems in assessing LC risk in patients with HBV-related HCC.
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Affiliation(s)
- Rong-Yun Mai
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China
| | - Jie Zeng
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China
| | - Yi-Shuai Mo
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China
| | - Rong Liang
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China.,Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Yan Lin
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China.,Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Su-Su Wu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China
| | - Xue-Min Piao
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China.,Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Xing Gao
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China.,Department of First Chemotherapy, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Guo-Bin Wu
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China
| | - Le-Qun Li
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China
| | - Jia-Zhou Ye
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China.,Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning 530021, People's Republic of China
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Comparative Analysis of the Discriminatory Performance of Different Well-Known Risk Assessment Scores for Extended Hepatectomy. Sci Rep 2020; 10:930. [PMID: 31969586 PMCID: PMC6976620 DOI: 10.1038/s41598-020-57748-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 01/06/2020] [Indexed: 02/08/2023] Open
Abstract
The aim of this study was to assess and compare the discriminatory performance of well-known risk assessment scores in predicting mortality risk after extended hepatectomy (EH). A series of 250 patients who underwent EH (≥5 segments resection) were evaluated. Aspartate aminotransferase-to-platelet ratio index (APRI), albumin to bilirubin (ALBI) grade, predictive score developed by Breitenstein et al., liver fibrosis (FIB-4) index, and Heidelberg reference lines charting were used to compute cut-off values, and the sensitivity and specificity of each risk assessment score for predicting mortality were also calculated. Major morbidity and 90-day mortality after EH increased with increasing risk scores. APRI (86%), ALBI (86%), Heidelberg score (81%), and FIB-4 index (79%) had the highest sensitivity for 90-day mortality. However, only the FIB-4 index and Heidelberg score had an acceptable specificity (70% and 65%, respectively). A two-stage risk assessment strategy (Heidelberg–FIB-4 model) with a sensitivity of 70% and a specificity 86% for 90-day mortality was proposed. There is no single specific risk assessment score for patients who undergo EH. A two-stage screening strategy using Heidelberg score and FIB-4 index was proposed to predict mortality after major liver resection.
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Kong FH, Miao XY, Zou H, Xiong L, Wen Y, Chen B, Liu X, Zhou JJ. End-stage liver disease score and future liver remnant volume predict post-hepatectomy liver failure in hepatocellular carcinoma. World J Clin Cases 2019; 7:3734-3741. [PMID: 31799298 PMCID: PMC6887604 DOI: 10.12998/wjcc.v7.i22.3734] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 10/18/2019] [Accepted: 10/30/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is the world's sixth most common malignant tumor and the third cause of cancer death. Although great progress has been made in hepatectomy, it is still associated with a certain degree of risk of post-hepatectomy liver failure (PHLF), which extends the length of hospital stay and remains the leading cause of postoperative death. Studies have shown that assessment of hepatic functional reserve before hepatectomy is beneficial for reducing the incidence of PHLF. AIM To assess the value of model for end-stage liver disease (MELD) score combined with standardized future liver remnant (sFLR) volume in predicting PHLF in patients undergoing hepatectomy for HCC. METHODS This study was attended by 238 patients with HCC who underwent hepatectomy between January 2015 and January 2018. Discrimination of sFLR volume, MELD score, and sFLR/MELD ratio to predict PHLF was evaluated according to the area under the receiver operating characteristic curve. RESULTS The patients were divided into two groups according to whether PHLF occurred after hepatectomy. The incidence of PHLF was 8.4% in our research. The incidence of PHLF increased with the decrease in sFLR volume and the increase in MELD score. Both sFLR volume and MELD score were considered independent predictive factors for PHLF. Moreover, the cut-off value of the sFLR/MELD score to predict PHLF was 0.078 (P < 0.001). This suggests that an sFLR/MELD ≥ 0.078 indicates a higher incidence of PHLF than an sFLR/MELD < 0.078. CONCLUSION MELD combined with sFLR is a reliable and effective PHLF predictor, which is superior to MELD score or sFLR volume alone.
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Affiliation(s)
- Fan-Hua Kong
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
| | - Xiong-Ying Miao
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
| | - Heng Zou
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
| | - Li Xiong
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
| | - Yu Wen
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
| | - Bo Chen
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
| | - Xi Liu
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
| | - Jiang-Jiao Zhou
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
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Association between Aspartate Aminotransferase-to-Platelet Ratio Index and Hepatocellular Carcinoma Risk in Patients with Chronic Hepatitis: A Meta-Analysis of Cohort Study. DISEASE MARKERS 2019; 2019:2046825. [PMID: 31814857 PMCID: PMC6877976 DOI: 10.1155/2019/2046825] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 09/11/2019] [Indexed: 02/06/2023]
Abstract
Background and Aim Aspartate aminotransferase-to-platelet ratio index (APRI) is widely used in the assessment of fibrosis and cirrhosis, especially in patients with chronic hepatitis. However, the prognostic value of APRI in patients with chronic hepatitis with regard to the prediction of hepatocellular carcinoma (HCC) occurrence remains controversial. The objective of this meta-analysis is to investigate the association between APRI and HCC risk on the basis of cohort studies. Methods We systematically reviewed PubMed, EMBASE, Web of Science, and Chinese National Knowledge Infrastructure databases for relevant cohort studies up to May 1, 2019. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for total and subgroup analyses were calculated with Stata 12.0 software for the assessment of the relationship between APRI and HCC risk. Results A total of 13 studies, involving 8897 patients, were included in the meta-analysis, of which 11 explored the association between pretreatment APRI and HCC risk and four reported the relationship between posttreatment APRI and HCC risk. Pooled results showed that an elevated level of pretreatment APRI was associated with increased HCC risk (HR = 2.56, 95% CI: 1.78–3.68). When stratified by hepatitis type, high pretreatment APRI predicted HCC development in patients with chronic hepatitis B (CHB) and C (CHC) but not in alcoholic liver cirrhosis (ALC). In the subgroup analyses of study region, cut-off value, sample size, and analysis method, the relationship between high pretreatment APRI and increased HCC risk was significant. Meanwhile, patients with a high level of posttreatment APRI suffered from high HCC risk (HR = 3.69, 95% CI: 2.52–5.42). Conclusion: Results revealed a significant association between elevated APRI and HCC development in patients with chronic hepatitis, suggesting that APRI might serve as a valuable predictor for HCC risk in patients with chronic hepatitis.
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Mai RY, Wang YY, Bai T, Chen J, Xiang BD, Wu GB, Wu FX, Li LQ, Ye JZ. Combination Of ALBI And APRI To Predict Post-Hepatectomy Liver Failure After Liver Resection For HBV-Related HCC Patients. Cancer Manag Res 2019; 11:8799-8806. [PMID: 31632139 PMCID: PMC6779592 DOI: 10.2147/cmar.s213432] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 09/03/2019] [Indexed: 01/27/2023] Open
Abstract
Purpose Post-hepatectomy liver failure (PHLF) is a severe complication in hepatocellular carcinoma (HCC) patients who have undergone hepatectomy. This research aimed to investigate the combination of albumin–bilirubin (ALBI) score and aspartate aminotransferase-platelet ratio index (APRI) as a novel approach in predicting PHLF risk in hepatitis B virus (HBV)-related HCC patients. Patients and methods HBV-related HCC patients who underwent hepatectomy from January 2006 to October 2013 were enrolled in this study. A novel model was constructed using a combination of ALBI and APRI scores to predict PHLF risk, and the prognostic value of the model was evaluated and compared with Child-Pugh (C-P) grade, ALBI score and APRI score. Results A total of 1,055 HCC patients were retrospectively studied, which included 151 experienced PHLF. Univariable and multivariate analyses showed that the ALBI and APRI scores were independent predictors of PHLF. The area under the ROC curve (AUC) of the ALBI score, APRI score, and C-P grade was 0.717, 0.720, and 0.602, respectively, with AUC (ALBI) > AUC (C-P) (P <0.001) and AUC (APRI) > AUC (C-P) (P <0.001). After ALBI was associated with APRI, the AUC (ALBI-APRI) was 0.766, and AUC (ALBI-APRI) > AUC (ALBI) (P <0.001), AUC (ALBI-APRI) > AUC (APRI) (P =0.047). Our results indicated that ALBI and APRI scores had higher discriminatory abilities than C-P grade in predicting the risk of PHLF, and the ALBI-APRI model could enhance the capability of predicting PHLF compared to ALBI or APRI alone. Conclusion ALBI-APRI score is a novel and effective predictive model of PHLF for HBV-related HCC patients, and its accuracy in predicting the risk of PHLF is better than that of C-P, ALBI and APRI scores.
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Affiliation(s)
- Rong-Yun Mai
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Yan-Yan Wang
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Beijing 100142, People's Republic of China
| | - Tao Bai
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Jie Chen
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Bang-de Xiang
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Guo-Bin Wu
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Fei-Xiang Wu
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Le-Qun Li
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
| | - Jia-Zhou Ye
- Department of Hepatobilliary & Pancreatic Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, People's Republic of China
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