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Li J, Zhu Y, Ni J, Wang L, Lei J. Computed tomography for the diagnosis of gastroesophageal varices and risk assessment in patients with cirrhosis: a systematic review and meta-analysis. Diagn Interv Radiol 2024; 30:335-350. [PMID: 38767277 PMCID: PMC11589522 DOI: 10.4274/dir.2024.242723] [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: 02/20/2024] [Accepted: 04/16/2024] [Indexed: 05/22/2024]
Abstract
PURPOSE This meta-analysis aimed to evaluate the diagnostic accuracy of computed tomography (CT) for detecting gastroesophageal varices (GEVs) and identify high-risk GEVs in patients with cirrhosis. METHODS A comprehensive search of databases identified 28 studies reporting on CT-based diagnosis for GEVs confirmed via endoscopy. Meta-analyses were conducted to calculate pooled sensitivity (SEN) and pooled specificity (SPE), positive likelihood ratio (PLR) and negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the curve (AUC). RESULTS Based on the number of patients (or varices), the pooled SEN, SPE, PLR, NLR, DOR, and AUC of CT-based diagnosis were estimated at 0.91 (0.92), 0.81 (0.45), 4.82 (1.67), 0.11 (0.17), 42.47 (10.26), and 0.93 (0.94), respectively, for any GEV and at 0.89 (0.89), 0.90 (0.79), 8.86 (4.28), 0.12 (0.14), 75.71 (30.19), and 0.95 (0.85), respectively, for high-risk GEVs. Subgroup analyses indicated that CT had a higher diagnostic accuracy for esophageal varices compared with gastric varices (AUC: 0.93 vs. 0.89, P < 0.05), and the 64-slice CT yielded superior SEN compared with 16-slice and <16-slice CT (AUC: 0.97 vs. 0.92 and 0.82, respectively, P < 0.05). Prospective studies demonstrated higher diagnostic accuracy than retrospective studies (AUC: 0.95 vs. 0.90, P < 0.05). Regarding variceal size, a cut-off of 3 mm and 5 mm discriminated between low- and high-risk individuals, respectively, with high diagnostic accuracy (AUC: 0.992 vs. 0.997, P > 0.05). CONCLUSION CT demonstrates promising diagnostic accuracy for identifying gastroesophageal varices and distinguishing high-risk GEVs in patients with cirrhosis. Further research to validate optimal variceal size cut-offs is warranted to enhance clinical utility. CLINICAL SIGNIFICANCE Such a high diagnostic accuracy of CT scans for predicting varices is clinically meaningful for patients with cirrhosis accompanied by portal hypertension. If high-risk varices are identified at CT scans, early intervention would be helpful to reduce the risk of variceal bleeding.
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Affiliation(s)
- Jinkui Li
- The First Hospital of Lanzhou University; Intelligent Imaging Medical Engineering Research Center of Gansu Province, Department of Radiology; Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou, China
| | - Yuanhui Zhu
- Gansu Provincial Hospital, Department of Radiology, Lanzhou, China
| | - Jinrong Ni
- The First Hospital of Lanzhou University, Department of Cardiovascular Surgery, Lanzhou, China
| | - Lili Wang
- The First Hospital of Lanzhou University; Intelligent Imaging Medical Engineering Research Center of Gansu Province, Department of Radiology; Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou, China
| | - Junqiang Lei
- The First Hospital of Lanzhou University; Intelligent Imaging Medical Engineering Research Center of Gansu Province, Department of Radiology; Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou, China
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Kwape L, Gabriel S, Abdelsalem A, Rose P, Bathobakae L, Peterson D, Moodley D, Parker M, Moolla S, Parker A, Siamisang K, Van Rensburg C, Fredericks E. Evaluation of Noninvasive Tools for Predicting Esophageal Varices in Patients With Cirrhosis at Tygerberg Hospital, Cape Town. Int J Hepatol 2024; 2024:9952610. [PMID: 39296589 PMCID: PMC11410406 DOI: 10.1155/2024/9952610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 07/23/2024] [Accepted: 08/06/2024] [Indexed: 09/21/2024] Open
Abstract
Background: In patients with cirrhosis, esophageal variceal hemorrhage (EVH) is a devastating consequence of portal hypertension (PH). Upper endoscopy is considered the gold standard for the detection and diagnosis of esophageal varices (EVs), despite being invasive and costly. This study was aimed at identifying and evaluating the diagnostic accuracy of noninvasive tools in predicting EVs in patients with compensated cirrhosis. Methods: This cross-sectional study included 50 patients with compensated cirrhosis at the Tygerberg Hospital Gastroenterology Clinic in Cape Town between November 2022 and May 2023. We collected clinical, anthropometric, and laboratory data from patients' physical and electronic charts. All patients underwent an abdominal ultrasound, vibration-controlled transient elastography (VCTE) to assess liver and splenic stiffness, and upper endoscopy. In this comparative study, we evaluated the diagnostic accuracy of different noninvasive tools in detecting EVs in patients with compensated cirrhosis. Results: Of the 50 patients included in the study, 30 (60%) were female and 20 (40%) were male. The patients' age ranged from 18 to 83, with a mean age of 46.6 years. Cirrhosis was mainly due to alcohol use (n = 11, 22%), hepatitis B virus (HBV) infection (n = 11, 22%), and autoimmune hepatitis (n = 10, 20%). The patients included in the study were divided into two subgroups: with (n = 34, 68%) or without (n = 16, 32%) EVs. Statistically significant differences were detected between groups in platelet count (PC), liver stiffness measurement (LSM), spleen stiffness measurement (SSM), portal vein diameter (PVD), bipolar spleen diameter (SBD), aspartate aminotransferase-to-platelet ratio index (APRI), fibrosis-4 index (FIB-4), platelet/bipolar spleen diameter ratio (PSR), liver stiffness-spleen size-platelet ratio (LSPS), liver stiffness-spleen stiffness-platelet ratio score (LS3PS), and spleen stiffness-spleen size-platelet ratio score (SSPS) (p < 0.001). The highest diagnostic precision was observed with SSM (96%), SSPS (96%), LS3PS (94%), LSPS (94%), PSR (94%), and PC (92%). SBD (88%), LSM (86%), APRI (82%), and FIB-4 (82%) had the lowest diagnostic accuracy. Conclusion: SSM and SSPS have the highest diagnostic accuracy for predicting the presence of EVs in patients with compensated cirrhosis. LSPS, LS3PS, and PSR come second at 94%. We recommend SSM and SSPS in institutions with transient elastography equipped with the software necessary to measure splenic stiffness. We introduce and propose LS3PS as a novel composite score for predicting the presence of EVs in patients with compensated cirrhosis. Large-sample-size studies are needed to validate these prediction scores and to allow direct comparison with Baveno VII. These prediction tools can help clinicians avoid unnecessary endoscopic procedures in patients with compensated cirrhosis, especially in developing countries with limited resources such as South Africa.
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Affiliation(s)
- Lawrence Kwape
- Division of Gastroenterology and Hepatology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Shiraaz Gabriel
- Division of Gastroenterology and Hepatology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Ahmad Abdelsalem
- Division of Gastroenterology and Hepatology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Penelope Rose
- Department of Paediatrics and Child Health Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Lefika Bathobakae
- Internal Medicine St. Joseph's University Medical Center, Paterson, New Jersey, USA
| | - Dale Peterson
- Division of Gastroenterology and Hepatology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Desiree Moodley
- Division of Gastroenterology and Hepatology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Mohammed Parker
- Division of Gastroenterology and Hepatology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Saadiq Moolla
- Division of Pulmonology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Arifa Parker
- Unit for Infection Prevention and Control Department of Medicine Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
- Division of Infectious Diseases Department of Medicine Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Keatlaretse Siamisang
- Department of Family Medicine and Public Health University of Botswana, Gaborone, Botswana
| | - Christoffel Van Rensburg
- Division of Gastroenterology and Hepatology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Ernst Fredericks
- Division of Gastroenterology and Hepatology Department of Medicine Faculty of Medicine and Health Sciences Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
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Zheng S, Xue C, Li S, Zao X, Li X, Liu Q, Cao X, Wang W, Qi W, Du H, Zhang P, Ye Y. Liver cirrhosis: current status and treatment options using western or traditional Chinese medicine. Front Pharmacol 2024; 15:1381476. [PMID: 39081955 PMCID: PMC11286405 DOI: 10.3389/fphar.2024.1381476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 06/28/2024] [Indexed: 08/02/2024] Open
Abstract
Liver cirrhosis arises from liver fibrosis and necroinflammation caused by various mechanisms of hepatic injury. It is a prevalent condition in clinical practice characterized by hepatocellular dysfunction, portal hypertension, and associated complications. Despite its common occurrence, the etiology and pathogenesis of liver cirrhosis remain incompletely understood, posing a significant health threat. Effective prevention of its onset and progression is paramount in medical research. Symptoms often include discomfort in the liver area, while complications such as sarcopenia, hepatic encephalopathy, ascites, upper gastrointestinal bleeding, and infection can arise. While the efficacy of Western medicine in treating liver cirrhosis is uncertain, Chinese medicine offers distinct advantages. This review explores advancements in liver cirrhosis treatment encompassing non-pharmacological and pharmacological modalities. Chinese medicine interventions, including Chinese medicine decoctions, Chinese patent medicines, and acupuncture, exhibit notable efficacy in cirrhosis reversal and offer improved prognoses. Nowadays, the combination of Chinese and Western medicine in the treatment of liver cirrhosis also has considerable advantages, which is worthy of further research and clinical promotion. Standardized treatment protocols based on these findings hold significant clinical implications.
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Affiliation(s)
- Shihao Zheng
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Chengyuan Xue
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Size Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Xiaobin Zao
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaoke Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Liver Diseases Academy of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Qiyao Liu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Xu Cao
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Liver Diseases Academy of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Wei Wang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Wenying Qi
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Hongbo Du
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Liver Diseases Academy of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Peng Zhang
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yongan Ye
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Liver Diseases Academy of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Yano R, Tadokoro T, Morishita A, Ibuki E, Masaki T. A Case of Idiopathic Portal Hypertension Diagnosed by Noninvasive Fibrosis Evaluation Using Elastography. Cureus 2024; 16:e56432. [PMID: 38638786 PMCID: PMC11024665 DOI: 10.7759/cureus.56432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/18/2024] [Indexed: 04/20/2024] Open
Abstract
Idiopathic portal hypertension (IPH) is often misdiagnosed as liver cirrhosis. Because it is difficult to distinguish between the two using diagnostic imaging, invasive tests, such as pathology and hepatic vein pressure gradient measurement, are necessary to make a diagnosis. Several studies have shown that the measurement of liver and spleen stiffnesses using elastography is useful in the diagnosis of IPH; however, there are few concrete reports on this subject. Herein, we report the case of a 58-year-old woman with IPH in which elastography was helpful for the diagnosis.
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Affiliation(s)
- Rie Yano
- Gastroenterology and Neurology, Kagawa University, Kita-gun, JPN
| | - Tomoko Tadokoro
- Gastroenterology and Neurology, Kagawa University, Kita-gun, JPN
| | | | - Emi Ibuki
- Diagnostic Pathology, Kagawa University, Kita-gun, JPN
| | - Tsutomu Masaki
- Gastroenterology and Neurology, Kagawa University, Kita-gun, JPN
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5
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Charoenchue P, Na Chiangmai W, Amantakul A, Wanchaitanawong W, Chitapanarux T, Pojchamarnwiputh S. Prediction of Esophageal Varices in Viral Hepatitis C Cirrhosis: Performance of Combined Ultrasonography and Clinical Predictors. Int J Biomed Imaging 2023; 2023:7938732. [PMID: 37746529 PMCID: PMC10516699 DOI: 10.1155/2023/7938732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/02/2023] [Accepted: 07/13/2023] [Indexed: 09/26/2023] Open
Abstract
Objectives This study is aimed at evaluating the diagnostic performance of clinical predictors and the Doppler ultrasonography in predicting esophageal varices (EV) in patients with hepatitis C-related cirrhosis and exploring the practical predictors of EV. Methods We conducted a prospective study from July 2020 to January 2021, enrolling 65 patients with mild hepatitis C-related cirrhosis. We obtained clinical data and performed grayscale and the Doppler ultrasound to explore the predictors of EV. Esophagogastroduodenoscopy (EGD) was performed as the reference test by the gastroenterologist within a week. Results The prevalence of EV in the study was 41.5%. Multivariable regression analysis revealed that gender (female, OR = 4.04, p = 0.02), platelet count (<150000 per ml, OR = 3.13, p = 0.09), splenic length (>11 cm, OR = 3.64, p = 0.02), and absent right hepatic vein (RHV) triphasicity (OR = 3.15, p = 0.03) were significant predictors of EV. However, the diagnostic accuracy indices for isolated predictors were not good (AUROC = 0.63-0.66). A combination of these four predictors increases the diagnostic accuracy in predicting the presence of EV (AUROC = 0.80, 95% CI 0.69-0.91). Furthermore, the Doppler assessment of the right hepatic vein waveform showed good reproducibility (κ = 0.76). Conclusion Combining clinical and Doppler ultrasound features can be used as a screening test for predicting the presence of EV in patients with hepatitis C-related cirrhosis. The practical predictors identified in this study could serve as an alternative to invasive EGD in EV diagnosis. Further studies are needed to explore the diagnostic accuracy of additional noninvasive predictors, such as elastography, to improve EV screening.
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Affiliation(s)
- Puwitch Charoenchue
- Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Wittanee Na Chiangmai
- Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Amonlaya Amantakul
- Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Wasuwit Wanchaitanawong
- Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Taned Chitapanarux
- Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
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6
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Karagiannakis DS, Stefanaki K. Spleen stiffness: a predictive factor of dismal prognosis in liver cirrhosis. Clin J Gastroenterol 2023; 16:121-129. [PMID: 36592292 PMCID: PMC10063465 DOI: 10.1007/s12328-022-01752-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023]
Abstract
Portal hypertension (PH) is a major complication of liver cirrhosis, as it predisposes to the development of serious clinical manifestations such as ascites, hepatic encephalopathy and variceal bleeding, aggravating the prognosis of patients. Hepatic vein pressure gradient (HVPG) is considered the reference method for the estimation of the presence and severity of PH, but this procedure is available only in specialized centers. Alternatively, many non-invasive methods have been proposed in order to substitute HVPG. Among them, liver stiffness measurement (LSM) has been widely used, as it has been shown to correlate well with HVPG, though this relationship seems to weaken in values of HVPG higher than 12 mmHg, the threshold of serious complications development. Several studies supported the use of spleen stiffness measurement (SSM) instead of LSM, anticipating to a more adequate assessment of this advanced stage of PH. The aim of this paper is to critically appraise and summarize the literature about the role of SSM as a predictive tool of liver decompensation and prognosis, highlighting the strengths and the potential limitations of the studies published so far. EXPERT'S OPINION: The utility of SSM in ruling out high risk for bleeding varices in cirrhotic patients has been demonstrated, driving the Baveno VII consensus to encompass SSM in its last recommendations, though its use in patients with non-viral cirrhosis remains to be validated. We believe that in the near future, SSM alone or combined with other tests, will being used not only for sparing upper endoscopies, but also for predicting decompensation and prognosis in advanced compensated cirrhotic patients, regardless of liver disease's etiology. Herein, we present the data that support this consideration, pointing out these issues that should further be investigated in order to elucidate and intensify the value of SSM in the management of patients with liver cirrhosis.
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Affiliation(s)
- Dimitrios S Karagiannakis
- Academic Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, "Laiko" General Hospital, 17 Agiou Thoma Street, 11527, Athens, Greece.
| | - Katerina Stefanaki
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, "Alexandra" General Hospital, Athens, Greece
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Wang Y, Hong Y, Wang Y, Zhou X, Gao X, Yu C, Lin J, Liu L, Gao J, Yin M, Xu G, Liu X, Zhu J. Automated Multimodal Machine Learning for Esophageal Variceal Bleeding Prediction Based on Endoscopy and Structured Data. J Digit Imaging 2023; 36:326-338. [PMID: 36279027 PMCID: PMC9984604 DOI: 10.1007/s10278-022-00724-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/12/2022] [Accepted: 10/18/2022] [Indexed: 11/09/2022] Open
Abstract
Esophageal variceal (EV) bleeding is a severe medical emergency related to cirrhosis. Early identification of cirrhotic patients with at a high risk of EV bleeding is key to improving outcomes and optimizing medical resources. This study aimed to evaluate the feasibility of automated multimodal machine learning (MMML) for predicting EV bleeding by integrating endoscopic images and clinical structured data. This study mainly includes three steps: step 1, developing deep learning (DL) models using EV images by 12-month bleeding on TensorFlow (backbones include ResNet, Xception, EfficientNet, ViT and ConvMixer); step 2, training and internally validating MMML models integrating clinical structured data and DL model outputs to predict 12-month EV bleeding on an H2O-automated machine learning platform (algorithms include DL, XGBoost, GLM, GBM, RF, and stacking); and step 3, externally testing MMML models. Furthermore, existing clinical indices, e.g., the MELD score, Child‒Pugh score, APRI, and FIB-4, were also examined. Five DL models were transfer learning to the binary classification of EV endoscopic images at admission based on the occurrence or absence of bleeding events during the 12-month follow-up. An EfficientNet model achieved the highest accuracy of 0.868 in the validation set. Then, a series of MMML models, integrating clinical structured data and the output of the EfficientNet model, were automatedly trained to predict 12-month EV bleeding. A stacking model showed the highest accuracy (0.932), sensitivity (0.952), and F1-score (0.879) in the test dataset, which was also better than the existing indices. This study is the first to evaluate the feasibility of automated MMML in predicting 12-month EV bleeding based on endoscopic images and clinical variables.
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Affiliation(s)
- Yu Wang
- Department of General Surgery, Jintan Affiliated Hospital of Jiangsu University, Changzhou, China
| | - Yu Hong
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Yue Wang
- Department of Hepatology, The Fifth People's Hospital of Suzhou, Suzhou, 215000, China
| | - Xin Zhou
- Department of Gastroenterology, Jintan Affiliated Hospital of Jiangsu University, Changzhou, China
| | - Xin Gao
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Chenyan Yu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Jiaxi Lin
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Lu Liu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Jingwen Gao
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Minyue Yin
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Guoting Xu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Xiaolin Liu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China
| | - Jinzhou Zhu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China.
- Suzhou Clinical Center of Digestive Diseases, Suzhou, 215000, China.
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Li J, Li J, Ji Q, Wang Z, Wang H, Zhang S, Fan S, Wang H, Kong D, Ren J, Zhou Y, Yang R, Zheng H. Nomogram based on spleen volume expansion rate predicts esophagogastric varices bleeding risk in patients with hepatitis B liver cirrhosis. Front Surg 2022; 9:1019952. [PMID: 36468077 PMCID: PMC9709196 DOI: 10.3389/fsurg.2022.1019952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/31/2022] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND We aimed to explore the risk factors for hemorrhage of esophagogastric varices (EGVs) in patients with hepatitis B cirrhosis and to construct a novel nomogram model based on the spleen volume expansion rate to predict the risk of esophagogastric varices bleeding. METHODS Univariate and multivariate logistic regression analysis was used to analyze the risk factors for EGVs bleeding. Nomograms were established based on the multivariate analysis results. The predictive accuracy of the nomograms was assessed using the area under the curve (AUC or C-index) of the receiver operating characteristic (ROC) and calibration curves. Decision curve analysis was used to determine the clinical benefit of the nomogram. We created a nomogram of the best predictive models. RESULTS A total of 142 patients' hepatitis B cirrhosis with esophagogastric varices were included in this study, of whom 85 (59.9%) had a history of EGVs bleeding and 57 (40.1%) had no EGVs bleeding. The spleen volume expansion rate, serum sodium levels (mmol/L), hemoglobin levels (g/L), and prothrombin time (s) were independent predictors for EGVs bleeding in patients with hepatitis B liver cirrhosis (P < 0.05). The above predictors were included in the nomogram prediction model. The area under the ROC curve (AUROC) of the nomogram was 0.781, the C-index obtained by internal validation was 0.757, and the calibration prediction curve fit well with the ideal curve. The AUROCs of the PLT-MELD and APRI were 0.648 and 0.548, respectively. CONCLUSION In this study, a novel nomogram for predicting the risk of EGVs bleeding in patients with hepatitis B cirrhosis was successfully constructed by combining the spleen volume expansion rate, serum sodium levels, hemoglobin levels, and prothrombin time. The predictive model can provide clinicians with a reference to help them make clinical decisions.
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Affiliation(s)
- Jianghong Li
- First Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Junjie Li
- Department of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Qian Ji
- Department of Radiology, Tianjin First Central Hospital, Tianjin, China
| | - Zhenglu Wang
- Department of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
- Key Laboratory of Transplant Medicine, Chinese Academy of Medical Sciences, First Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Honghai Wang
- Department of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Sai Zhang
- School of Medicine, Nankai University, Tianjin, China
| | - Shunli Fan
- First Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Hao Wang
- First Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Dejun Kong
- School of Medicine, Nankai University, Tianjin, China
| | - Jiashu Ren
- First Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Yunhui Zhou
- First Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Ruining Yang
- First Central Clinical College, Tianjin Medical University, Tianjin, China
| | - Hong Zheng
- Department of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
- Key Laboratory of Transplant Medicine, Chinese Academy of Medical Sciences, First Central Clinical College, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory for Organ Transplantation, Tianjin First Central Hospital, First Central Clinical College, Tianjin Medical University, Tianjin, China
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9
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Bayani A, Hosseini A, Asadi F, Hatami B, Kavousi K, Aria M, Zali MR. Identifying predictors of varices grading in patients with cirrhosis using ensemble learning. Clin Chem Lab Med 2022; 60:1938-1945. [DOI: 10.1515/cclm-2022-0508] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 06/28/2022] [Indexed: 12/15/2022]
Abstract
Abstract
Objectives
The present study was conducted to improve the performance of predictive methods by introducing the most important factors which have the highest effects on the prediction of esophageal varices (EV) grades among patients with cirrhosis.
Methods
In the present study, the ensemble learning methods, including Catboost and XGB classifier, were used to choose the most potent predictors of EV grades solely based on routine laboratory and clinical data, a dataset of 490 patients with cirrhosis gathered. To increase the validity of the results, a five-fold cross-validation method was applied. The model was conducted using python language, Anaconda open-source platform. TRIPOD checklist for prediction model development was completed.
Results
The Catboost model predicted all the targets correctly with 100% precision. However, the XGB classifier had the best performance for predicting grades 0 and 1, and totally the accuracy was 91.02%. The most significant variables, according to the best performing model, which was CatBoost, were child score, white blood cell (WBC), vitalism K (K), and international normalized ratio (INR).
Conclusions
Using machine learning models, especially ensemble learning models, can remarkably increase the prediction performance. The models allow practitioners to predict EV risk at any clinical visit and decrease unneeded esophagogastroduodenoscopy (EGD) and consequently reduce morbidity, mortality, and cost of the long-term follow-ups for patients with cirrhosis.
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Affiliation(s)
- Azadeh Bayani
- Department of Health Information Technology and Management, School of Allied Medical Sciences , Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Azamossadat Hosseini
- Department of Health Information Technology and Management, School of Allied Medical Sciences , Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Farkhondeh Asadi
- Department of Health Information Technology and Management, School of Allied Medical Sciences , Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Behzad Hatami
- Gastroenterology and Liver Diseases Research Center , Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences , Tehran , Iran
| | - Kaveh Kavousi
- Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics , Institute of Biochemistry and Biophysics (IBB), University of Tehran , Tehran , Iran
| | - Mehrdad Aria
- Department of Computer Engineering, Faculty of Electrical and Computer Engineering , Shiraz University , Shiraz , Iran
| | - Mohammad Reza Zali
- Gastroenterology and Liver Diseases Research Center , Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences , Tehran , Iran
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10
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Liang XE, Hu XM, Wang HY, Dai L, Lin XY, Chen JJ, Chen YP, Wen B, Jiang RL. Ultrasonic spleen thickness-based indexes surpass Baveno VI criteria in high-risk gastroesophageal varices detection. Hepatol Int 2022; 16:649-657. [PMID: 35412215 DOI: 10.1007/s12072-022-10327-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/03/2022] [Indexed: 11/26/2022]
Abstract
AIMS To evaluate the efficiency of ultrasonic spleen thickness (UST), routine variables and (expanded) Baveno VI criteria for high-risk gastroesophageal varices (HRGOV) detection in cirrhotic patients. METHODS In total, 305 cirrhotic patients were retrospectively enrolled in the deriving cohort and 328 cirrhotic patients with hepatitis B sustained viral response were prospectively enrolled in the validation cohort. HRGOV was defined as medium and severe gastroesophageal varices (GOV), mild GOV with red signs or Child-Pugh C. The cut-offs for HRGOV were determined by likelihood ratio indicating strong evidences. Algorithms of Spleen thickness-Age-Liver stiffness measurement (LSM, by Fibroscan®)-Albumin (SALA) and Spleen thickness-Platelet-Albumin (SPA) were derived by multivariate analyses. RESULTS The area under receiver operating characteristics curve of SALA, SPA, UST, platelet, and LSM were 0.849, 0.835, 0.808, 0.746, and 0.655 in the deriving cohort, and improved to 0.901, 0.904, 0.858, 0.876, and 0.811 in the validation cohort, respectively. While SALA, SPA, UST, platelet, Baveno VI criteria (BVI), and expanded BVI spared 46.6%, 38.0%, 29.2%, 21.0%, 12.1%, and 23.6% esophagogastroduodenoscopy in the deriving cohort, these numbers were improved to 68.1%, 66.8%, 27.1%, 37.8%, 36.0%, and 61.0% in the validating cohort, respectively; however, the negative likelihood ratio of expanded BVI was up to 0.16. SPA spared less esophagogastroduodenoscopy than SALA, which can be supplemented by stepwise applying UST and SPA. Sequentially combining UST and SALA, BVI and SALA exempted additional 10-5% endoscopies. CONCLUSIONS SPA, without LSM, improves HRGOV detection comparing with BVI. UST based algorithms combination can achieve the best efficiency especially in sustained virus response hepatitis B.
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Affiliation(s)
- Xie-Er Liang
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Guangzhou, 510515, Guangdong, China
| | - Xiao-Min Hu
- Hepatology Unit, Shenzhen Hospital, Southern Medical University, No. 1333 Xinhu Road, Shenzhen, 518110, Guangdong, China
| | - Hai-Yu Wang
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Guangzhou, 510515, Guangdong, China
| | - Lin Dai
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Guangzhou, 510515, Guangdong, China
| | - Xiao-Yu Lin
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Guangzhou, 510515, Guangdong, China
| | - Jin-Jun Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Guangzhou, 510515, Guangdong, China
| | - Yong-Peng Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Guangzhou, 510515, Guangdong, China.
- Hepatology Unit, Shenzhen Hospital, Southern Medical University, No. 1333 Xinhu Road, Shenzhen, 518110, Guangdong, China.
| | - Biao Wen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Guangzhou, 510515, Guangdong, China.
- Department of Gastroenterology, The First Affiliated Hospital of Chengdu Medical College, No. 278 Baoguang Road, Chengdu, 610000, Sichuan, China.
| | - Rong-Long Jiang
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Guangzhou, 510515, Guangdong, China.
- Hepatology Unit, Shenzhen Hospital, Southern Medical University, No. 1333 Xinhu Road, Shenzhen, 518110, Guangdong, China.
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11
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Reiberger T. The Value of Liver and Spleen Stiffness for Evaluation of Portal Hypertension in Compensated Cirrhosis. Hepatol Commun 2022; 6:950-964. [PMID: 34904404 PMCID: PMC9035575 DOI: 10.1002/hep4.1855] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 09/23/2021] [Accepted: 10/17/2021] [Indexed: 12/11/2022] Open
Abstract
Patients with compensated advanced chronic liver disease who develop clinically significant portal hypertension (CSPH) are at high risk for hepatic decompensation and mortality if left untreated. Liver biopsy and hepatic venous pressure gradient (HVPG) measurements are the current gold standard procedures for determining fibrosis severity and diagnosing CSPH, respectively; however, both are invasive, limiting their use in clinical practice and larger trials of novel agents. As such, there is an unmet clinical need for reliable, validated, noninvasive measures to detect CSPH and to further assess portal hypertension (PH) severity. Alterations in the biomechanical properties of the liver or spleen in patients with cirrhosis can be quantified by tissue elastography, which examines the elastic behavior of tissue after a force has been applied. A variety of methods are available, including magnetic resonance elastography, shear-wave elastography, and the most thoroughly investigated measure, vibration-controlled transient elastography. Liver stiffness (LS) and spleen stiffness (SS) measurements offer valuable alternatives to detect and monitor CSPH. Both LS and SS correlate well with HVPG, with thresholds of LS >20-25 kPa and SS >40-45 kPa indicating a high likelihood of CSPH. Because SS is a direct and dynamic surrogate of portal pressure, it has the potential to monitor PH severity and assess PH improvement as a surrogate marker for clinical outcomes. Importantly, SS seems to be superior to LS for monitoring treatment response in clinical trials focusing on reducing PH.
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Affiliation(s)
- Thomas Reiberger
- Division of Gastroenterology and HepatologyDepartment of Internal Medicine IIIMedical University of ViennaViennaAustria.,Vienna Hepatic Hemodynamic LaboratoryDivision of Gastroenterology and HepatologyDepartment of Internal Medicine IIIMedical University of ViennaViennaAustria.,Christian-Doppler Laboratory for Portal Hypertension and Liver FibrosisMedical University of ViennaViennaAustria
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12
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Abstract
PURPOSE OF REVIEW Gastroesophageal varices are common complications of chronic liver diseases (CLDs) and portal hypertension. Small varices have the risk of progressing to larger varices, causing bleeding or even death. Thus, early detection and appropriate management of small varices are necessary. The purpose of this review is to summarize the advance in the recent 5years about diagnosing and managing the small varices in CLDs. RECENT FINDINGS The diagnosing methods of small varices in recent studies include improved endoscopic examinations, such as capsule endoscopy, and many noninvasive methods, including blood tests, ultrasound, computed tomography and magnetic resonance. For the management of small varices, though it is controversial, prevention using nonselective beta-blockers is still an essential part. SUMMARY In this review, we summarize the classification of varices, the invasive and noninvasive diagnostic methods, their performances, and the emerging progression in the management of small varices in the recent 5 years. We hope that this review provides relevant information to understand better and appropriately manage small varices.
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Affiliation(s)
- Ying Zhu
- Department of Infectious Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian
| | - Hui Cheng
- Department of Infectious Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian
- Department of Gastroenterology, The Second Affiliated Hospital of Dalian Medical University, Dalian
| | - Jianyong Chen
- Department of Gastroenterology, Jiangxi Provincial People's Hospital, Nanchang
| | - Yifei Huang
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China
| | - Hao Liu
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Xiaolong Qi
- CHESS Center, Institute of Portal Hypertension, The First Hospital of Lanzhou University, Lanzhou, China
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13
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Yan Y, Li Y, Fan C, Zhang Y, Zhang S, Wang Z, Huang T, Ding Z, Hu K, Li L, Ding H. A novel machine learning-based radiomic model for diagnosing high bleeding risk esophageal varices in cirrhotic patients. Hepatol Int 2022; 16:423-432. [PMID: 35366193 DOI: 10.1007/s12072-021-10292-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/15/2021] [Indexed: 12/07/2022]
Abstract
BACKGROUND AND AIM To develop and validate a novel machine learning-based radiomic model (RM) for diagnosing high bleeding risk esophageal varices (HREV) in patients with cirrhosis. METHODS A total of 796 qualified participants were enrolled. In training cohort, 218 cirrhotic patients with mild esophageal varices (EV) and 240 with HREV RM were included to training and internal validation groups. Additionally, 159 and 340 cirrhotic patients with mild EV and HREV RM, respectively, were used for external validation. Interesting regions of liver, spleen, and esophagus were labeled on the portal venous-phase enhanced CT images. RM was assessed by area under the receiver operating characteristic curves (AUROC), sensitivity, specificity, calibration and decision curve analysis (DCA). RESULTS The AUROCs for mild EV RM in training and internal validation were 0.943 and 0.732, sensitivity and specificity were 0.863, 0.773 and 0.763, 0.763, respectively. The AUROC, sensitivity, and specificity were 0.654, 0.773 and 0.632, respectively, in external validation. Interestingly, the AUROCs for HREV RM in training and internal validation were 0.983 and 0.834, sensitivity and specificity were 0.948, 0.916 and 0.977, 0.969, respectively. The related AUROC, sensitivity and specificity were 0.736, 0.690 and 0.762 in external validation. Calibration and DCA indicated RM had good performance. Compared with Baveno VI and its expanded criteria, HREV RM had a higher accuracy and net reclassification improvements that were as high as 49.0% and 32.8%. CONCLUSION The present study developed a novel non-invasive RM for diagnosing HREV in cirrhotic patients with high accuracy. However, this RM still needs to be validated by a large multi-center cohort.
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Affiliation(s)
- Yijie Yan
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital Affiliated With Capital Medical University, Beijing, 100069, China
| | - Yue Li
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital Affiliated With Capital Medical University, Beijing, 100069, China
- Department of Gastroenterology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China
| | - Chunlei Fan
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital Affiliated With Capital Medical University, Beijing, 100069, China
| | - Yuening Zhang
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital Affiliated With Capital Medical University, Beijing, 100069, China
| | - Shibin Zhang
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital Affiliated With Capital Medical University, Beijing, 100069, China
| | - Zhi Wang
- Blot Info & Tech (Beijing) Co. Ltd, Beijing, 101200, China
| | - Tehui Huang
- Blot Info & Tech (Beijing) Co. Ltd, Beijing, 101200, China
| | - Zhenjia Ding
- Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Keqin Hu
- Division of Gastroenterology and Hepatology, University of California, Irvine, School of Medicine, Orange, CA, USA
| | - Lei Li
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital Affiliated With Capital Medical University, Beijing, 100069, China.
| | - Huiguo Ding
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital Affiliated With Capital Medical University, Beijing, 100069, China.
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14
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Abd-Elsalam SM, Ezz MM, Gamalel-Din S, Esmat G, Elakel W, ElHefnawi M. Derivation of "Egyptian varices prediction (EVP) index": A novel noninvasive index for diagnosing esophageal varices in HCV Patients. J Adv Res 2022; 35:87-97. [PMID: 35024195 PMCID: PMC8721354 DOI: 10.1016/j.jare.2021.02.005] [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: 10/07/2020] [Revised: 02/06/2021] [Accepted: 02/17/2021] [Indexed: 02/07/2023] Open
Abstract
Esophageal Varices is one complication of chronic liver disease that leads to deaths globally due to hemorrhage. The prediction of presence the Esophageal Varices is essential to avoid bleeding for patients. Now the only diagnostic method for Esophageal Varices by the upper gastrointestinal endoscopy but it has many disadvantages. Only ten variables are the most significant for diagnosing the varices: PLT, Stiffness, PC, liver texture, spleen, HCV-RNA, Albumin, gender, Total bilirubin, and PV diameter. We Evaluated the effectiveness of several noninvasive markers for predicting Varices. We Introduced a novel (EVP) index with acceptable performance for diagnosing Varices and compared with the exist, it could save operating the upper endoscopic by nearly 46.5%. Introduction Esophageal Varices (EVs) is one of the major dangerous complications of liver fibrosis. Upper Gastrointestinal (UGI) Endoscopy is necessary for its diagnosis. Repeated examinations for EVs screening severely burden endoscopic units in terms of cost and other side implications; moreover, the lack of public health resources in rural areas and primary hospitals should be considered, particularly in developing countries. So, an accurate noninvasive marker for EV is highly needed for liver disease patients. Objectives This study sought to evaluate the values of several indices to determine how adequate are they in predicting EV and build a novel accurate prediction index. Methods Five thousand and thirteen patients were enrolled. The laboratory tests, abdominal ultrasonography, liver stiffness measurement using Fibro-scan, and UGI endoscopy were performed. Ten common indices: Fib-4 score, AST-to-platelet ratio index, Fibrosis index, AST/ALT ratio Varices Prediction Rule, Baveno VI, APRI-Fib4 Combo, King score, “Model for End-Stage Liver Disease”, and Lok Score were calculated. The significant predictors for EVs were identified by using “P-value Correlation-based Filter Selection” method, where a novel Egyptian Varices Prediction (EVP) index was developed using binary logistic regression. The diagnostic performance was evaluated by some parameters and the Area Under Curve (AUC). Results EVP Index was correlated to EVs at 0.5; it achieved higher performance (AUC 0.788, accuracy 73.3%, and sensitivity 78%) than the other indices at a cutoff point of 0.423. Conclusion EVP Index was a good noninvasive predictor. It had an acceptable performance for diagnosing EVs and it was only required regular laboratory tests and imaging data. It can provide a tool for classifying or arranging the patients according to the degree pre-emptive for selective endoscopy and the degree of severity. Also, it will enable clinicians to concentrate on one marker instead of a wide set of parameters.
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Affiliation(s)
- Shimaa M Abd-Elsalam
- Systems and Information Department, Engineering Research Division, National Research Centre, Giza, Egypt.,Biomedical Informatics in Cheminformatic Group, Centre of Excellence for Medical Research, National Research Centre, Giza, Egypt.,Systems and Computers Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt
| | - Mohamed M Ezz
- Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.,Systems and Computers Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt
| | - Shehab Gamalel-Din
- Systems and Computers Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt
| | - Gamal Esmat
- Endemic Medicine and Hepatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Wafaa Elakel
- Endemic Medicine and Hepatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mahmoud ElHefnawi
- Systems and Information Department, Engineering Research Division, National Research Centre, Giza, Egypt.,Biomedical Informatics in Cheminformatic Group, Centre of Excellence for Medical Research, National Research Centre, Giza, Egypt
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15
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Durleshter VM, Korochanskaya NV, Murashko DS, Basenko MA. [Risk factors of surgical treatment in patients with liver cirrhosis]. Khirurgiia (Mosk) 2022:64-69. [PMID: 35289551 DOI: 10.17116/hirurgia202203164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To optimize selection of patient for surgical treatment of comorbidities and complications of liver cirrhosis (LC) via analysis of perioperative risk factors. MATERIAL AND METHODS There were 610 patients with LC and comorbidities who underwent surgical treatment between 2015 and 2021 at the Regional Clinical Hospital No. 2. Thirty (4.9%) patients died. We analyzed Child-Pugh and MELD scores, Mayo Postoperative Surgical Risk Score and Charlson comorbidity index to predict postoperative mortality. RESULTS Perioperative risk in patients with LC depends on the type of surgery, degree of surgical invasiveness, liver function, and severity of LC-associated complications. CONCLUSION A thorough preoperative assessment of patients and adequate perioperative management are required to reduce the risk of mortality. UNLABELLED liver cirrhosis, surgical treatment, risk factors.
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Affiliation(s)
- V M Durleshter
- Kuban State Medical University, Krasnodar, Russia
- Regional Clinical Hospital No. 2, Krasnodar, Russia
| | - N V Korochanskaya
- Kuban State Medical University, Krasnodar, Russia
- Regional Clinical Hospital No. 2, Krasnodar, Russia
| | - D S Murashko
- Kuban State Medical University, Krasnodar, Russia
- Regional Clinical Hospital No. 2, Krasnodar, Russia
| | - M A Basenko
- Kuban State Medical University, Krasnodar, Russia
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16
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Validation and Refinement of the Baveno VI Criteria for Ruling Out High-Risk Varices. Gastroenterol Res Pract 2020; 2020:4217512. [PMID: 33376483 PMCID: PMC7744238 DOI: 10.1155/2020/4217512] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 11/02/2020] [Accepted: 11/17/2020] [Indexed: 12/14/2022] Open
Abstract
In the past decade, numerous studies have evaluated the roles of noninvasive methods for diagnosing or excluding varices and high-risk varices in patients with liver cirrhosis. The Baveno VI criteria recommend the use of a simple algorithm based on a liver stiffness measurement < 20 kPa through transient elastography and a platelet count > 150 × 109/L for ruling out high-risk varices in patients with compensated advanced chronic liver disease. A large number of studies have validated the clinical usefulness of Baveno VI criteria for excluding high-risk varices. Several strategies have been proposed to refine the Baveno VI criteria; however, currently there is no review to summarize the diagnostic accuracy and limitations of the Baveno VI criteria after extensive validation. In this review, we summarize the diagnostic accuracy and limitations of the Baveno VI criteria after extensive validation. We also discuss methods to refine these criteria.
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17
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Philips CA, Ahamed R, Rajesh S, George T, Mohanan M, Augustine P. Beyond the scope and the glue: update on evaluation and management of gastric varices. BMC Gastroenterol 2020; 20:361. [PMID: 33126847 PMCID: PMC7602314 DOI: 10.1186/s12876-020-01513-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 10/23/2020] [Indexed: 02/08/2023] Open
Abstract
Gastric varices are encountered less frequently than esophageal varices. Nonetheless, gastric variceal bleeding is more severe and associated with worse outcomes. Conventionally, gastric varices have been described based on the location and extent and endoscopic treatments offered based on these descriptions. With improved understanding of portal hypertension and the dynamic physiology of collateral circulation, gastric variceal classification has been refined to include inflow and outflow based hemodynamic pathways. These have led to an improvement in the management of gastric variceal disease through newer modalities of treatment such as endoscopic ultrasound-guided glue-coiling combination therapy and the emergence of highly effective endovascular treatments such as shunt and variceal complex embolization with or without transjugular intrahepatic portosystemic shunt (TIPS) placement in patients who are deemed 'difficult' to manage the traditional way. Furthermore, the decisions regarding TIPS and additional endovascular procedures in patients with gastric variceal bleeding have changed after the emergence of 'portal hypertension theories' of proximity, throughput, and recruitment. The hemodynamic classification, grounded on novel theories and its cognizance, can help in identifying patients at baseline, in whom conventional treatment could fail. In this exhaustive review, we discuss the conventional and hemodynamic diagnosis of gastric varices concerning new classifications; explore and illustrate new 'portal hypertension theories' of gastric variceal disease and corresponding management and shed light on current evidence-based treatments through a 'new' algorithmic approach, established on hemodynamic physiology of gastric varices.
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Affiliation(s)
- Cyriac Abby Philips
- The Liver Unit and Monarch Liver Laboratory, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi, Kerala, 682028, India.
| | - Rizwan Ahamed
- Gastroenterology and Advanced G.I Endoscopy, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi, Kerala, 682028, India
| | - Sasidharan Rajesh
- Division of Hepatobiliary Interventional Radiology, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi, Kerala, 682028, India
| | - Tom George
- Division of Hepatobiliary Interventional Radiology, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi, Kerala, 682028, India
| | - Meera Mohanan
- Anaesthesia and Critical Care, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi, Kerala, 682028, India
| | - Philip Augustine
- Gastroenterology and Advanced G.I Endoscopy, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi, Kerala, 682028, India
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18
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Kang SH, Baik SK, Kim MY. Application of Baveno Criteria and Modified Baveno Criteria with Shear-wave Elastography in Compensated Advanced Chronic Liver Disease. J Korean Med Sci 2020; 35:e249. [PMID: 32743990 PMCID: PMC7402928 DOI: 10.3346/jkms.2020.35.e249] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 06/04/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND We aimed to validate Baveno VI and expanded Baveno VI criteria using two dimensional shear-wave elastography (2D-SWE) in compensated advanced chronic liver disease (cACLD) patients with alcohol as the main etiology. METHODS Clinical data from 305 patients with cACLD who underwent a liver stiffness measurement (LSM) with 2D-SWE and endoscopy were consecutively collected. RESULTS Among 305 patients, high-risk varix (HRV) was identified in 21.3% (n = 65). The main etiology was alcoholic liver disease (51.8%), followed by hepatitis B virus (29.8%) and hepatitis C virus (9.1%). Baveno VI criteria spared endoscopy in 118 of the 305 (38.7%) patients, and 7 (5.9%) were missed with HRV. Expanded Baveno VI criteria spared more endoscopies (60.0%), but missed more HRV (9.8%) compared with Baveno VI criteria. The other classification described as the modified Baveno VI criteria were LSM < 25 kPa and PLT ≥ 150 × 10³/mm³. In total, 131 of the 305 (43.0%) patients were within the modified Baveno VI criteria, of whom seven (5.3%) had missed HRV. After adding spleen diameter < 12 cm to the modified Baveno VI criteria, the number of spared endoscopies increased by 106/305 (34.8%), with three (2.8%) presenting with HRV, indicating a risk of missing HRV. CONCLUSION Baveno VI and expanded Baveno VI criteria with 2D-SWE were insufficient with an HRV miss rate of over 5%. The modified Baveno VI criteria with spleen diameters < 12 cm with 2D-SWE spared more endoscopies with a minimal risk of missing HRV in cACLD patients with alcohol as the main etiology.
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Affiliation(s)
- Seong Hee Kang
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Soon Koo Baik
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Cell Therapy and Tissue Engineering Center, Yonsei University Wonju College of Medicine, Wonju, Korea
- Regenerative Medicine Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Moon Young Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Cell Therapy and Tissue Engineering Center, Yonsei University Wonju College of Medicine, Wonju, Korea
- Regenerative Medicine Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea.
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19
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Li Y, Li L, Weng HL, Liebe R, Ding HG. Computed tomography vs liver stiffness measurement and magnetic resonance imaging in evaluating esophageal varices in cirrhotic patients: A systematic review and meta-analysis. World J Gastroenterol 2020; 26:2247-2267. [PMID: 32476790 PMCID: PMC7235201 DOI: 10.3748/wjg.v26.i18.2247] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 03/19/2020] [Accepted: 04/24/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Computed tomography (CT), liver stiffness measurement (LSM), and magnetic resonance imaging (MRI) are non-invasive diagnostic methods for esophageal varices (EV) and for the prediction of high-bleeding-risk EV (HREV) in cirrhotic patients. However, the clinical use of these methods is controversial. AIM To evaluate the accuracy of LSM, CT, and MRI in diagnosing EV and predicting HREV in cirrhotic patients. METHODS We performed literature searches in multiple databases, including PubMed, Embase, Cochrane, CNKI, and Wanfang databases, for articles that evaluated the accuracy of LSM, CT, and MRI as candidates for the diagnosis of EV and prediction of HREV in cirrhotic patients. Summary sensitivity and specificity, positive likelihood ratio and negative likelihood ratio, diagnostic odds ratio, and the areas under the summary receiver operating characteristic curves were analyzed. The quality of the articles was assessed using the quality assessment of diagnostic accuracy studies-2 tool. Heterogeneity was examined by Q-statistic test and I 2 index, and sources of heterogeneity were explored using meta-regression and subgroup analysis. Publication bias was evaluated using Deek's funnel plot. All statistical analyses were conducted using Stata12.0, MetaDisc1.4, and RevMan5.3. RESULTS Overall, 18, 17, and 7 relevant articles on the accuracy of LSM, CT, and MRI in evaluating EV and HREV were retrieved. A significant heterogeneity was observed in all analyses (P < 0.05). The areas under the summary receiver operating characteristic curves of LSM, CT, and MRI in diagnosing EV and predicting HREV were 0.86 (95% confidence interval [CI]: 0.83-0.89), 0.91 (95%CI: 0.88-0.93), and 0.86 (95%CI: 0.83-0.89), and 0.85 (95%CI: 0.81-0.88), 0.94 (95%CI: 0.91-0.96), and 0.83 (95%CI: 0.79-0.86), respectively, with sensitivities of 0.84 (95%CI: 0.78-0.89), 0.91 (95%CI: 0.87-0.94), and 0.81 (95%CI: 0.76-0.86), and 0.81 (95%CI: 0.75-0.86), 0.88 (95%CI: 0.82-0.92), and 0.80 (95%CI: 0.72-0.86), and specificities of 0.71 (95%CI: 0.60-0.80), 0.75 (95%CI: 0.68-0.82), and 0.82 (95%CI: 0.70-0.89), and 0.73 (95%CI: 0.66-0.80), 0.87 (95%CI: 0.81-0.92), and 0.72 (95%CI: 0.62-0.80), respectively. The corresponding positive likelihood ratios were 2.91, 3.67, and 4.44, and 3.04, 6.90, and2.83; the negative likelihood ratios were 0.22, 0.12, and 0.23, and 0.26, 0.14, and 0.28; the diagnostic odds ratios were 13.01, 30.98, and 19.58, and 11.93, 49.99, and 10.00. CT scanner is the source of heterogeneity. There was no significant difference in diagnostic threshold effects (P > 0.05) or publication bias (P > 0.05). CONCLUSION Based on the meta-analysis of observational studies, it is suggested that CT imaging, a non-invasive diagnostic method, is the best choice for the diagnosis of EV and prediction of HREV in cirrhotic patients compared with LSM and MRI.
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Affiliation(s)
- Yue Li
- Department of Gastroenterology and Hepatology, Beijing You’an Hospital Affiliated with Capital Medical University, Beijing 100069, China
| | - Lei Li
- Department of Gastroenterology and Hepatology, Beijing You’an Hospital Affiliated with Capital Medical University, Beijing 100069, China
| | - Hong-Lei Weng
- Department of Medicine II, Section Molecular Hepatology, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany
| | - Roman Liebe
- Department of Medicine II, Saarland University Medical Center, Homburg 66424, Germany
| | - Hui-Guo Ding
- Department of Gastroenterology and Hepatology, Beijing You’an Hospital Affiliated with Capital Medical University, Beijing 100069, China
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Abd-Elsalam SM, Ezz MM, Gamalel-Din S, Esmat G, Salama A, ElHefnawi M. Early diagnosis of esophageal varices using Boosted-Naïve Bayes Tree: A multicenter cross-sectional study on chronic hepatitis C patients. INFORMATICS IN MEDICINE UNLOCKED 2020. [DOI: 10.1016/j.imu.2020.100421] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
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21
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Stefanescu H, Marasco G, Calès P, Fraquelli M, Rosselli M, Ganne-Carriè N, de Ledinghen V, Ravaioli F, Colecchia A, Rusu C, Andreone P, Mazzella G, Festi D. A novel spleen-dedicated stiffness measurement by FibroScan® improves the screening of high-risk oesophageal varices. Liver Int 2020; 40:175-185. [PMID: 31444849 DOI: 10.1111/liv.14228] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/23/2019] [Accepted: 08/20/2019] [Indexed: 02/13/2023]
Abstract
BACKGROUND & AIMS Several non-invasive tests (NITs) have been developed to diagnose oesophageal varices (EV), including the recent Baveno VI criteria to rule out high-risk varices (HRV). Spleen stiffness measurement (SSM) with the standard FibroScan® (SSM@50Hz) has been evaluated. However, the EV grading could be underestimated because of a ceiling threshold (75 kPa) of the SSM@50Hz. The aims were to evaluate SSM by a novel spleen-dedicated FibroScan® (SSM@100Hz) for EV diagnosis compared with SSM@50Hz, other validated NITs and Baveno VI criteria. METHODS This prospective multicentre study consecutively enrolled patients with chronic liver disease; blood data, endoscopy, liver stiffness measurement (LSM), SSM@50Hz and SSM@100Hz were collected. RESULTS Two hundred and sixty patients met inclusion criteria. SSM@100Hz success rate was significantly higher than that of SSM@50Hz (92.5% vs 76.0%, P < .001). SSM@100Hz accuracy for the presence of EV (AUC = 0.728) and HRV (AUC = 0.756) was higher than in other NITs. SSM@100Hz AUC for large EV (0.782) was higher than SSM@50Hz (0.720, P = .027). AUC for HRV with SSM@100Hz (0.780) was higher than with LSM (0.615, P < .001). The spared endoscopy rate of Baveno VI criteria (8.1%) was significantly increased by the combination to SSM@50Hz (26.5%) or SSM@100Hz (38.9%, P < .001 vs others). The missed HRV rate was, respectively, 0% and 4.7% for combinations. CONCLUSIONS SSM@100Hz is a new performant non-invasive marker for EV and HRV providing a higher accuracy than SSM@50Hz and other NITs. The combination of Baveno VI criteria and SSM@100Hz significantly increased the spared endoscopy rate compared to Baveno VI criteria alone or combined with SSM@50Hz. Clinical trial number: NCT02180113.
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Affiliation(s)
- Horia Stefanescu
- Liver Unit, Regional Institute of Gastroenterology and Hepatology, Cluj-Napoca, Romania
| | - Giovanni Marasco
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Paul Calès
- Hepato-Gastroenterology Department, University hospital, Angers, France
| | - Mirella Fraquelli
- Gastroenterology and Endoscopy Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Matteo Rosselli
- Institute for Liver and Digestive Health, Royal Free Hospital, University College of London, London, UK
| | - Nathalie Ganne-Carriè
- INSERM UMR 1162, Hepato-Gastroenterology Department, APHP Jean Verdier Hospital, University Paris 13, Paris, France
| | | | - Federico Ravaioli
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Antonio Colecchia
- Gastroenterology Unit, University Hospital Borgo Trento, Verona, Italy
| | - Corina Rusu
- Liver Unit, Regional Institute of Gastroenterology and Hepatology, Cluj-Napoca, Romania
| | - Pietro Andreone
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Giuseppe Mazzella
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Davide Festi
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
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Zhou H, Long J, Hu H, Tian CY, Lin SD. Liver stiffness and serum markers for excluding high-risk varices in patients who do not meet Baveno VI criteria. World J Gastroenterol 2019; 25:5323-5333. [PMID: 31558876 PMCID: PMC6761236 DOI: 10.3748/wjg.v25.i35.5323] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 07/30/2019] [Accepted: 08/24/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The Baveno VI criteria for predicting esophageal varices, i.e., liver stiffness measurement (LSM) < 20 kPa and platelet (PLT) count > 150 × 109/L, identify patients who can safely avoid gastroscopy screening. However, they require further refinement.
AIM To evaluate the utility of LSM and serum markers of liver fibrosis in ruling out high-risk varices (HRV) in patients who do not meet Baveno VI criteria.
METHODS Data from 132 patients with hepatitis B virus (HBV)-related compensated liver cirrhosis who did not meet the Baveno VI criteria were retrospectively reviewed. MedCalc 15.8 was used to calculate receiver operating characteristic (ROC) curves, and the accuracy of LSM, PLT count, aspartate aminotransferase (AST)-to-PLT ratio index, Fibrosis-4, and the Lok index in predicting HRV were evaluated according to the area under each ROC curve (AUROC). The utility of LSM, PLT, and serum markers of liver fibrosis stratified by alanine transaminase (ALT) and total bilirubin (TBil) levels was evaluated for ruling out HRV.
RESULTS In all patients who did not meet the Baveno VI criteria, the independent risk factors for HRV were LSM and ALT. Only the AUROC of Lok index was above 0.7 for predicting HRV, and at a cutoff value of 0.4531 it could further spare 24.2% of gastroscopies without missing HRVs. The prevalence of HRV was significantly lower in patients with ALT or TBil ≥ 2 upper limit of normal (ULN) (14.3%) than in patients with both ALT and TBil < 2 ULN (34.1%) (P = 0.018). In the 41 patients with ALT and TBil < 2 ULN, LSM had an AUROC for predicting HRV of 0.821. LSM < 20.6 kPa spared 39.0% of gastroscopies without missing HRVs. In the 91 patients with ALT or TBiL ≥ 2 ULN, the Lok index and PLT had AUROCs of 0.814 and 0.741, respectively. Lok index ≤ 0.5596 or PLT > 100 × 109/L further spared 39.6% and 43.9% of gastroscopies, respectively, without missing HRVs.
CONCLUSION In HBV-related compensated cirrhosis patients who do not meet Baveno VI criteria, the LSM, PLT, or Lok index cutoff stratified by ALT and TBil accurately identifies more patients without HRV.
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Affiliation(s)
- Hong Zhou
- Department of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou Province, China
- Department of Infectious Diseases, Suining Central Hospital, Suining 629000, Sichuan Province, China
| | - Jun Long
- Department of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou Province, China
| | - Han Hu
- Department of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou Province, China
| | - Cai-Yun Tian
- Department of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou Province, China
| | - Shi-De Lin
- Department of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou Province, China
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Szakács Z, Erőss B, Soós A, Mátrai P, Szabó I, Pétervári E, Bajor J, Farkas N, Hegyi P, Illés A, Solymár M, Balaskó M, Sarlós P, Szűcs Á, Czimmer J, Vincze Á, Pár G. Baveno Criteria Safely Identify Patients With Compensated Advanced Chronic Liver Disease Who Can Avoid Variceal Screening Endoscopy: A Diagnostic Test Accuracy Meta-Analysis. Front Physiol 2019; 10:1028. [PMID: 31481896 PMCID: PMC6711320 DOI: 10.3389/fphys.2019.01028] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 07/24/2019] [Indexed: 12/13/2022] Open
Abstract
Background: The Baveno VI Consensus Workshop defined criteria (liver stiffness measured by transient elastography <20 kPa and platelet count >150 × 109 cells/L) to identify those patients with compensated advanced chronic liver diseases (cACLD) who are unlikely to have varices needing treatment (VNTs) and can safely avoid variceal screening endoscopy. This meta-analysis aimed to quantify the safety and efficacy of these criteria in suspected cACLD with liver stiffness >10 kPa and in compensated chronic liver diseases (cCLD) irrespective of liver stiffness. Methods: A systematic search was conducted in nine databases for studies discussed cACLD or cCLD and tested Baveno criteria against variceal screening endoscopy. The main safety and efficacy endpoints were missed VNT rate and spared endoscopy rate (SER), respectively; calculated with the random effect model. Pooled sensitivity, specificity, and area under the curve (AUC) were calculated with the hierarchical summary receiver operating characteristic model. For all outcome measures, 95% confidence intervals were computed. Heterogeneity was tested with I 2-statistics. Results: The search yielded 13 studies including 4,464 patients which reported on suspected cACLD. Pooled missed VNT rate was 0.3% (0.1-0.6%; I 2 = 45.5%), pooled SER was 32.8% (24.8-41.4%; I 2 = 97.0%). Sensitivity, specificity, and AUC of Baveno criteria were 97% (95-98%), 41% (27-57%), and 96% (94-97%), respectively. In the subgroups of cACLD from hepatitis C and B viruses, non-alcoholic fatty liver disease/steatohepatitis, or alcohol, missed VNT rates were 0.0% (0.0-0.3%), 1.2% (0.4-2.2%), 0.0% (0.0-1.3%), or 0.0% (0.0-0.4%), while SERs were 24.2% (20.5-28.1%), 24.9% (21.7-28.4%), 38.6% (10.9-70.8%), or 27.0% (16.9-38.4%), respectively. If we expanded the study population to cCLD, 27 studies included 7,534 patients. Missed VNT rate was 0.2% (0.1-0.5%; I 2 = 39.8%) with a SER of 30.5% (25.2-36.2%; I 2 = 96.1%) while Se, Sp, and AUC were 97% (93-99%), 35% (27-44%), and 80% (77-84%), respectively. Conclusions: The application of Baveno criteria significantly reduces the number of unnecessary variceal screening endoscopies while being safe: cACLD patients with liver stiffness <20 kPa and platelet count > 150 × 109 cells/L carry a very low chance (i.e., 0.3%) of having VNTs. The criteria preserve low missed VNT rate with lower diagnostic performance among cCLD patients.
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Affiliation(s)
- Zsolt Szakács
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
- János Szentágothai Research Center, University of Pécs, Pécs, Hungary
| | - Bálint Erőss
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Alexandra Soós
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Péter Mátrai
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
- Institute of Bioanalysis, Medical School, University of Pécs, Pécs, Hungary
| | - Imre Szabó
- Division of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Erika Pétervári
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Judit Bajor
- Division of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Nelli Farkas
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
- Institute of Bioanalysis, Medical School, University of Pécs, Pécs, Hungary
| | - Péter Hegyi
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
- Division of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
- Hungarian Academy of Sciences-University of Szeged, Momentum Gastroenterology Multidisciplinary Research Group, Budapest, Hungary
| | - Anita Illés
- Division of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Margit Solymár
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Márta Balaskó
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Patrícia Sarlós
- Division of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Ákos Szűcs
- First Department of Surgery, Semmelweis University, Budapest, Hungary
| | - József Czimmer
- Division of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Áron Vincze
- Division of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Gabriella Pár
- Division of Gastroenterology, First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
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Martínez-Campreciós J, Pons M, Genescà J. Beyond Baveno VI: How far are we? Dig Liver Dis 2019; 51:1141-1143. [PMID: 31345765 DOI: 10.1016/j.dld.2019.06.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 04/26/2019] [Accepted: 06/16/2019] [Indexed: 12/11/2022]
Affiliation(s)
- Joan Martínez-Campreciós
- Liver Unit, Department of Internal Medicine, Hospital Universitari Vall, d'Hebron, Vall d'Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mònica Pons
- Liver Unit, Department of Internal Medicine, Hospital Universitari Vall, d'Hebron, Vall d'Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Joan Genescà
- Liver Unit, Department of Internal Medicine, Hospital Universitari Vall, d'Hebron, Vall d'Hebron Research Institut (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
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Dong TS, Kalani A, Aby ES, Le L, Luu K, Hauer M, Kamath R, Lindor KD, Tabibian JH. Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices. Clin Gastroenterol Hepatol 2019; 17:1894-1901.e1. [PMID: 30708109 DOI: 10.1016/j.cgh.2019.01.025] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 01/10/2019] [Accepted: 01/12/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure that increases patient risk and healthcare cost. We developed and validated a scoring system, based on readily-available data, to reliably identify patients with EVs that need treatment. METHODS We collected data from 238 patients with cirrhosis undergoing screening EGD from January 2016 through December 2017 at 3 separate hospitals in Los Angeles (training cohort). We abstracted data on patient sex, age, race/ethnicity, platelet counts, and levels of hemoglobin, serum sodium, aspartate aminotransferase, alanine aminotransferase, total bilirubin, international normalized ratio, albumin, urea nitrogen, and creatinine. We also included etiology of cirrhosis, presence of ascites, and presence of hepatic encephalopathy. We used a random forest algorithm to identify factors significantly associated with the presence of EVs and varices needing treatment (VNT) and calculated area under the receiver operating characteristic curve (AUROC). We called the resulting formula the EVendo score. We tested the accuracy of EVendo in a prospective study of 109 patients undergoing screening EGDs at the same medical centers from January 2018 through December 2018 (validation cohort). RESULTS We developed an algorithm that identified patients with EVs and VNT based on international normalized ratio, level of aspartate aminotransferase, platelet counts, urea nitrogen, hemoglobin, and presence of ascites. The EVendo score identified patients with EVs in the training set with an AUROC of 0.84, patients with EVs in the validation set with and AUROC of 0.82, and EVs in patients with cirrhosis Child-Turcotte-Pugh class A (n = 235) with an AUROC of 0.81. The score identified patients with VNT in the training set with an AUROC of 0.74, VNT in the validation set with and AUROC of 0.75, and VNT in patients with cirrhosis Child-Turcotte-Pugh class A with and AUROC of 0.75. An EVendo score below 3.90 would have spared 30.5% patients from EGDs, missing only 2.8% of VNT. The same cutoff would have spared 40.0% of patients with Child-Turcotte-Pugh class A cirrhosis from EGDs, missing only 1.1% of VNT. CONCLUSIONS We algorithmically developed a formula, called the EVendo score, that can be used to predict EVs and VNT based on readily available data in patients with cirrhosis. This score could help patients at low risk for VNT avoid unnecessary EGDs.
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Affiliation(s)
- Tien S Dong
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Amir Kalani
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Elizabeth S Aby
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Long Le
- UCLA-Olive View Internal Medicine Residency Program, Sylmar, California
| | - Kayti Luu
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Meg Hauer
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Rahul Kamath
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Keith D Lindor
- College of Health Solutions, Arizona State University, Phoenix, Arizona
| | - James H Tabibian
- Division of Gastroenterology, Department of Medicine, Olive View-UCLA Medical Center, Sylmar, California.
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Stafylidou M, Paschos P, Katsoula A, Malandris K, Ioakim K, Bekiari E, Haidich AB, Akriviadis E, Tsapas A. Performance of Baveno VI and Expanded Baveno VI Criteria for Excluding High-Risk Varices in Patients With Chronic Liver Diseases: A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol 2019; 17:1744-1755.e11. [PMID: 31077823 DOI: 10.1016/j.cgh.2019.04.062] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 04/23/2019] [Accepted: 04/26/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS We aimed to assess the accuracy of Baveno VI criteria for identification of high-risk varices (HRVs) and varices of any size in patients with compensated advanced chronic liver disease (cACLD). METHODS We performed a systematic search of publications through December 2018 for studies that assessed the accuracy of Baveno VI criteria for screening for varices in patients with cACLD. We used hierarchical models to synthesize evidence. We also conducted a post hoc analysis to assess the accuracy of Εxpanded Baveno VI criteria. We appraised the confidence in estimates using the Grading of Recommendations Assessment, Development and Evaluation approach. RESULTS We identified 30 studies (8469 participants). Pooled values of Baveno VI criteria for HRVs (26 studies) were a sensitivity of 0.97 (95% CI, 0.95-0.98) and a specificity of 0.32 (95% CI, 0.26-0.39). Pooled sensitivity of Εxpanded Baveno VI criteria for HRVs (12 studies) was 0.90 (95% CI, 0.85-0.93) and specificity was 0.51 (95% CI, 0.45-0.57). In 1000 patients with cACLD, with a prevalence of HRVs of 20%, Baveno VI criteria would prevent endoscopy in 262 patients, but 6 patients with HRVs would be missed. Instead, use of the Εxpanded Baveno VI criteria would result in 428 patients avoiding endoscopy, but 20 patients with HRVs would be missed. The credibility of our findings is moderate or low, mainly owing to the retrospective design of most studies. CONCLUSIONS Baveno VI criteria have high diagnostic accuracy as a triage test for screening for HRVs in patients with cACLD. Expanded Baveno VI criteria could reduce the proportion of unnecessary endoscopies further, nevertheless with a higher rate of missed HRVs.
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Affiliation(s)
- Maria Stafylidou
- First Department of Internal Medicine, Papageorgiou Hospital, Thessaloniki, Greece.
| | - Paschalis Paschos
- First Department of Internal Medicine, Papageorgiou Hospital, Thessaloniki, Greece; Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece
| | - Anastasia Katsoula
- Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece
| | - Konstantinos Malandris
- Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece
| | - Konstantinos Ioakim
- First Department of Internal Medicine, Papageorgiou Hospital, Thessaloniki, Greece
| | - Eleni Bekiari
- Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece
| | - Anna-Bettina Haidich
- Department of Hygiene, Social-Preventive Medicine and Medical Statistics, Medical School, Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece
| | - Evangelos Akriviadis
- Fourth Department of Internal Medicine, Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece
| | - Apostolos Tsapas
- Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Hippokration Hospital, Thessaloniki, Greece; Harris Manchester College, University of Oxford, Oxford, United Kingdom
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Butt N, Abbasi A, Ali Khan M, Butt S, Ahmad SM. Esophageal Variceal Band Ligation Interval and Number Required for the Obliteration of Varices: A Multi-center Study from Karachi, Pakistan. Cureus 2019; 11:e4993. [PMID: 31497424 PMCID: PMC6707816 DOI: 10.7759/cureus.4993] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Introduction Esophageal variceal band ligation (EVBL) is the best form of treatment for variceal bleeding. The frequency of EVBL for the eradication of esophageal varices has no consensus. We evaluated the number and interval of EVBL sessions required for the obliteration of esophageal varices. Methods Esophagogastric varices were treated endoscopically with band ligation on initial presentation and then every after three weeks till the obliteration of the varices. Endoscopic band ligation consists of placing rubber elastic bands on large varices. Frequencies were calculated for qualitative variables and mean ± standard deviations for continuous variables. Results A total of 107 cases with esophagogastric varices were enrolled. Out of them, seven patients with small esophageal varices and large fundal varices were excluded. The remaining 100 with large esophageal varices had EVBL performed. The second session of EVBL was done in 46 patients with large esophageal varices. The third session of EVBL for the obliteration of esophageal varices required in 20 patients with large esophageal varices and the fourth session was required in only two patients. The total sessions required for the complete obliteration for esophageal varices were 2±1. Only one patient developed post-EVBL bleeding one week after band ligation. Conclusion Esophageal variceal ligation was a safe and well-tolerated procedure performed at three-week intervals in patients with large esophageal varices. On average, two to three sessions of EVBL are required for the complete obliteration of esophageal varices.
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Affiliation(s)
- Nazish Butt
- Gastroenterology, Jinnah Postgraduate Medical Centre, Karachi, PAK
| | - Amanullah Abbasi
- Internal Medicine, Dow University of Health Sciences, Karachi, PAK
| | - M Ali Khan
- Gastroenterology, Jinnah Postgraduate Medical Centre, Karachi, PAK
| | - Sehrish Butt
- Biomedical and Biological Sciences, Dow University of Health Sciences, Karachi, PAK
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Lee HA, Kim SU, Seo YS, Lee YS, Kang SH, Jung YK, Kim MY, Kim JH, Kim SG, Suk KT, Jung SW, Jang JY, An H, Yim HJ, Um SH. Prediction of the varices needing treatment with non-invasive tests in patients with compensated advanced chronic liver disease. Liver Int 2019; 39:1071-1079. [PMID: 30589490 DOI: 10.1111/liv.14036] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 11/29/2018] [Accepted: 12/21/2018] [Indexed: 02/13/2023]
Abstract
BACKGROUNDS & AIMS The Baveno VI guidelines proposed criteria including liver stiffness (LS) and platelet count to avoid screening endoscopy in patients with compensated advanced chronic liver disease (cACLD). This study was performed to validate the Baveno IV criteria and to compare its diagnostic accuracy with other non-invasive models. METHODS Patients with cACLD who underwent laboratory tests, upper gastrointestinal endoscopy and abdominal ultrasound within 6 months of transient elastography were included. RESULTS A total of 1218 patients with cACLD were included. VNT occurred in 249 patients (20.4%). With the Baveno VI criteria, the VNT miss rate was 1.9% with a 25.7% saved endoscopy rate. Using two criteria of LS <20 kPa and platelet count >110 × 109 cells/L or LS <25 kPa and platelet count >120 × 109 cells/L, the saved endoscopy rate was 39.1% while maintaining the VNT miss rate <5%. The optimal LS and platelet count-based criteria for predicting VNT differed according to the underlying liver disease. The area under the receiver operating characteristic curve of LS-spleen diameter to platelet score (LSPS) was 0.780 (95% confidence interval: 0.774-0.820), which was significantly higher than other models. The optimal cut-off value of the LSPS for predicting VNT was 1.47. CONCLUSION Liver stiffness and platelet count-based criteria are useful for discriminating patients with very low risk of having VNT among patients with cACLD and are partly affected by the type of underlying liver disease. Conversely, the LSPS is a predictor of VNT in patients with cACLD regardless of the type of underlying liver disease.
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Affiliation(s)
- Han Ah Lee
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Yeon Seok Seo
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Young-Sun Lee
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Seong Hee Kang
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Young Kul Jung
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Moon Young Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Ji Hoon Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Sang Gyune Kim
- Department of Internal Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Ki Tae Suk
- Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea
| | - Soung Won Jung
- Department of Internal Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Jae Young Jang
- Department of Internal Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Hyonggin An
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hyung Joon Yim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Soon Ho Um
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
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