Low- and middle-income countries are facing an increase in the incidence of acute pancreatitis (AP)-characterized by rapid onset, fast progression, high rate of severity, and high mortality. Progression of AP into severe AP (SAP) results in a series of complications such as organ dysfunction, local abscesses, pseudocysts, and necrosis. Although the treatment of AP is primarily supportive, including fluid resuscitation and organ support, there is still a lack of consensus on the optimal management regimen for fluid therapy, and strategies to promote gastrointestinal recovery remain limited. As no effective intervention measure has yet been developed, supportive therapy remains the primary approach for the early treatment of AP. DaXianXiong decoction is a widely used traditional Chinese medicine formulation; however, limited research has been conducted on its clinical efficacy.

This study aims to evaluate the efficacy and safety of DaXianXiong decoction in preventing AP from progressing to SAP, assessing its impact on SAP incidence, clinical severity scores, inflammation markers, and gastrointestinal function, and providing evidence for AP management.

This study is a randomized, double-blind, placebo-controlled, single-center clinical trial. The primary outcomes will include the incidence of SAP, modified computed tomography severity index score, APACHE II (Acute Physiology and Chronic Health Evaluation II) score, modified Marshall score, and levels of the inflammation factor. The secondary outcomes will include the effect of the gastrointestinal dysfunction treatment. Evaluations will be conducted at baseline; 24 hours after the intervention; and on days 3, 7, and 28 after the intervention in both groups. A total of 60 eligible patients will be randomly allocated in a 1:1 ratio to the intervention group and the control group. Both groups will receive standard Western medical treatment for pancreatitis. The intervention group will additionally receive DaXianXiong decoction, while the control group will receive a placebo similar to the decoction.

This study has been funded by the Performance Incentive Project of Scientific Research Institutions in Chongqing. The trial was registered in April 2024, and data analysis is expected to be completed by April 2025. The study results will be presented at both national and international conferences and published in peer-reviewed journals.

This trial will help us assess the effectiveness and safety of DaXianXiong decoction in patients with AP and provide clinical evidence on the efficacy and safety of DaXianXiong decoction in preventing the progression of AP to SAP. By evaluating its impact, the findings will contribute to the understanding of DaXianXiong decoction as an adjunct therapy in AP management and may offer a novel complementary treatment strategy for AP, potentially improving patient outcomes and reducing complications.

Chinese Clinical Trial Registry ChiCTR2300076885; https://www.chictr.org.cn/showproj.html?proj=207084.

DERR1-10.2196/67392.

Acute pancreatitis (AP) is an inflammatory disease that can represent a challenge for clinicians, in fact, the early determination of its severity in the first 72 h is crucial for prognosis, recognizing the etiology and carrying out risk stratification to determine a more specific therapy. No accurate early prognostic scores for disease severity have been published, so the severity of AP often cannot be properly defined in the first few hours of the disease. This initial phase represents a "no man's land", in which there is no certainty in the stratification of the damage, prognosis is difficult to establish, therapy must be started promptly, although there is still no effective medical therapy against pancreatic enzymatic activation. Therefore, it is very difficult at this stage to make the correct decisions to achieve the best outcome for the patient with AP. Literature search was carried out using the PubMed database by entering early management of acute pancreatitis [title] or therapy of acute pancreatitis [title] and selecting the most relevant articles for the diagnosis and therapy of acute pancreatitis in clinical practice. This document provides suggestions on managing the key clinical decisions for patients suffering from AP before disease severity is defined, to achieve the best outcomes for patients with AP.

Identifying high-risk acute pancreatitis (AP) patients in the ICU is vital for improving prognosis. Thus, this study aims to explore the relationship between the coefficient of variation (CV) of blood glucose and the all-cause mortality of patients with AP in the ICU.

A retrospective analysis was conducted on AP patients in the MIMIC-IV database. The CV was used to describe the glycemic variability (GV) and the optimal cut-off value was determined using the ROC curve. Subsequently, analyze the correlation between CV and all-cause mortality.

A total of 907 patients with AP in the ICU were included in this study. The ROC curve determined the optimal CV cut-off value as 0.25. The KM survival curves and univariate and multivariate logistics regression analyses all showed that CV was associated with the 30-day, 60-day, and 90-day all-cause mortality (P < 0.05). The RCS curves showed a nonlinear correlation (P < 0.05). When CV is less than 0.421, 0.449, and 0.428, respectively, the risk of death at 30-day, 60-day, and 90-day increases as the CV value rises. Subgroup analysis showed an interaction between congestive heart failure and CV in 30-day and 60-day all-cause mortality, between age and CV in 60-day and 90-day all-cause mortality, and between chronic pulmonary disease and CV in 30-day all-cause mortality (P all < 0.05).

The CV is associated with the all-cause mortality of AP patients in the ICU, especially when the CV value is between 0.25 and 0.45. When using CV, the effects of age, congestive heart failure, and chronic pulmonary disease should be considered.

Necrotizing pancreatitis often demands intervention; contemporary management is directed by the step-up approach. Timing of intervention and specific approach is best directed by a multi-disciplinary team including advanced endosocpists, interventional radiologists, and surgeons with interest and experience managing this complex problem. The intervention is often a combination of percutaneous drainage, transluminal endoscopic approaches, and surgical debridement (minimally invasive or open). Goals of treatment are to evacuate solid infected necrosis, gain enteral access when needed, and to prevent recurrence-cholecystectomy in the setting of biliary pancreatitis. Experienced clinical judgment leads to optimal patient outcomes.

Acute pancreatitis (AP) may obscure small pancreatic cancers (PCs) on computed tomography during the acute phase. Surveillance with magnetic resonance cholangiopancreatography (MRCP) and endoscopic ultrasonography (EUS) may enhance early detection and improve patient outcomes. This study evaluated the impact of early MRCP/EUS surveillance on PC outcomes in AP patients and identified high-risk subgroups for early screening.

We retrospectively analyzed 1562 AP patients treated between 2010 and 2021, categorizing them into early surveillance (MRCP/EUS within three months of AP onset; n = 760) and nonearly surveillance groups (n = 802). Key outcomes included time to PC diagnosis, surgical resection rate, tumor stage, and overall survival. Multivariate analysis was performed to identify risk factors for concealed PC in AP patients.

Among 27 PC cases analyzed, the early surveillance group achieved significantly earlier diagnosis, higher surgical resection rates, increased detection of early-stage PC, and improved overall survival compared with the nonearly surveillance group. Multivariate analysis revealed that subthreshold main pancreatic duct (MPD) dilation (≥2.5 mm) and moderately severe AP were significant predictors of PC.

Early MRCP/EUS surveillance in AP patients facilitates timely detection of occult PC and enhances patient prognosis. These findings support prioritizing early surveillance for AP patients with subthreshold MPD dilation and moderately severe disease. Further large-scale studies are warranted to validate these strategies in clinical practice.

Acute pancreatitis (AP) may lead to the development of pancreatic walled-off necrosis (WON) and vascular complications. We analyzed the frequency of vascular complications and their clinical impact in patients with WON.

The development of bleeding and splanchnic venous thrombosis (SVT) was assessed in a retrospective, single cohort of 290 patients undergoing invasive treatment for symptomatic WON. Bleeding was defined as nonprocedure-related requiring transfusion, embolization, or surgery, whereas SVT was defined as the presence of a thrombus in one of the splanchnic veins on contrast-enhanced computed tomography.

In total, 78 patients (27%) developed 87 vascular complications. Forty-four patients (15%) developed SVT, 25 patients (9%) bleeding, and 9 patients (3%) developed both. At the time of the index intervention, 44 patients (83%) had already developed SVT, and only 7 episodes of bleeding had occurred (21%). Patients with bleeding had a greater need for intensive care unit treatment and their in-hospital mortality was higher than patients without bleeding (59% vs 38%, P = 0.003 and 38% vs 13%, P < 0.0001, respectively).

Vascular complications are common in WON patients, but only bleeding is associated with increased morbidity and in-hospital mortality. Most SVT occur before an index intervention, while bleeding episodes primarily occur afterwards.

Increased systemic concentrations of YKL-40 are seen in various inflammatory conditions. We explored the relationship between the serum YKL-40 concentrations and subsequent disease severity in patients with acute pancreatitis (AP).

Consecutive adults with AP were prospectively enrolled, and classified as having mild, moderate or severe disease. On admission and 48 h later, C-reactive protein (CRP), YKL-40, interleukin-6 and 8 (IL-6, IL-8), and tumor necrosis factor alpha (TNF-α) concentrations were measured. Patients were also classified as those with low (<50 ng/mL, in the range seen in 30 age and sex-matched non-AP subjects), high (≥190 ng/mL, seen in most of the other inflammatory conditions), and intermediate YKL-40 (50-189 ng/mL).

Incidence of mild, moderate and severe AP among the 150 enrolled patients was 80 (53.3 %), 59 (39.3 %), and 11 (7.4 %), respectively. Both on admission and 48 h later, high YKL-40 (vs. intermediate or low) was strongly associated with higher odds of a more severe AP, independently of the concurrent IL-8 and TNF-α concentrations (OR around 3.5-4.0, or higher). On admission, the association was independent also of the concurrent CRP, whereas the association between the later concentrations and the outcome was conditional on CRP - uncertain at low, strong at high CRP. The high YKL-40 - outcome association at both time-points was conditional on concurrent IL-6: uncertain if IL-6 was low, strong if IL-6 was high.

Serum YKL-40 is a plausible candidate for further evaluation as an early biochemical indicator of subsequent AP severity, particularly if considered jointly with CRP and/or IL-6.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and non-alcoholic fatty pancreatic disease (NAFPD) are metabolic diseases with rising incidence. Fatty infiltration may lead to dysfunction of the liver and pancreatic tissues. This study aims to quantify liver and pancreatic fat fractions and examine their correlation with disease severity in acute pancreatitis patients.

The severity of acute pancreatitis was assessed using the revised Atlanta classification (RAC), computed tomography severity index (CTSI), and modified CTSI (mCTSI). Proton density fat fraction (PDFF) levels of the liver and pancreas were measured via IDEAL MRI. Patients were categorized into biliary and non-biliary pancreatitis groups. Correlations between PDFF levels and the RAC, CTSI, and mCTSI scores were analyzed.

A total of 127 patients were included, with MASLD present in 40.9% and NAFPD in 30%. Liver PDFF values were significantly higher in non-biliary pancreatitis (p = 0.040). Patients with MASLD exhibited higher CTSI and mCTSI scores (p = 0.009, p = 0.033, respectively). No significant differences were observed in severity scales between patients with and without NAFPD. Liver PDFF was positively correlated with CTSI and mCTSI scores in biliary pancreatitis. ROC analysis identified a liver PDFF > 3.9% (p = 0.002) and pancreatic corpus PDFF > 12.1% (0.028) as diagnostic markers for severe pancreatitis. In addition, a liver PDFF < 4.5% (p = 0.042) was an indicator for biliary pancreatitis.

MASLD is associated with increased severity in acute pancreatitis. IDEAL MRI-derived PDFF levels of the liver and pancreas show potential in predicting severe acute pancreatitis and distinguishing between biliary and non-biliary etiologies.

To develop and validate the performance of CT-based radiomics models for predicting the prognosis of acute pancreatitis.

All 344 patients (51 ± 15 years, 171 men) in a first episode of acute pancreatitis (AP) were retrospectively enrolled and randomly divided into training (n = 206), validation (n = 69), and test (n = 69) sets with the ratio of 6:2:2. The patients were dichotomized into good and poor prognosis subgroups based on follow-up CT and clinical data. The radiomics features were extracted from contrast-enhanced CT. Logistic regression analysis was applied to analyze clinical-radiological features for developing clinical and radiomics-derived models. The predictive performance of each model was evaluated using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA).

Eight pancreatic and six peripancreatic radiomics features were identified after reduction and selection. In the training set, the AUCs of clinical, pancreatic, peripancreatic, radiomics, and combined models were 0.859, 0.800, 0.823, 0.852, and 0.899, respectively. In the validation set, the AUCs were 0.848, 0.720, 0.746, 0.773, and 0.877, respectively. The combined model exhibited the highest AUC among radiomics-based models (pancreatic, peripancreatic, and radiomics models) in both the training (0.899) and validation (0.877) sets (all p < 0.05). Further, the AUC of the combined model was 0.735 in the test set. The calibration curve and DCA indicated the combined model had favorable predictive performance.

CT-based radiomics incorporating clinical features was superior to other models in predicting AP prognosis, which may offer additional information for AP patients at higher risk of developing poor prognosis.

Integrating CT radiomics-based analysis of pancreatic and peripancreatic features with clinical risk factors enhances the assessment of AP prognosis, allowing for optimal clinical decision-making in individuals at risk of severe AP.

Radiomics analysis provides help to accurately assess acute pancreatitis (AP). CT radiomics-based models are superior to the clinical model in the prediction of AP prognosis. A CT radiomics-based nomogram integrated with clinical features allows a more comprehensive assessment of AP prognosis.

Early identification of pancreatitis remains a significant clinical diagnostic challenge that impacts patient outcomes. The evolution of quantitative imaging followed by deep learning models has shown great promise in the non-invasive diagnosis of pancreatitis and its complications. We provide an overview of advancements in diagnostic imaging and quantitative imaging methods along with the evolution of artificial intelligence (AI). In this article, we review the current and future states of methodology and limitations of AI in improving clinical support in the context of early detection and management of pancreatitis.

Despite the clinical relevance of graft pancreatitis (GP) after pancreas transplantation (PT), a universally accepted definition is lacking. Aim of this scoping review was to provide a systematic overview of GP definitions reported in the literature. MEDLINE, Web of Science and Embase were searched for relevant articles. Prospective/retrospective studies reporting a GP definition were included. The included series (n = 20) used four main criteria (clinical, biochemical, radiological and pathological) to define GP. Overall, 9 studies defined GP using a single criterion (n = 8 biochemical, n = 1 pathological), 7 series using two criteria (n = 3 clinical + biochemical, n = 3 biochemical + radiological, n = 1 clinical + radiological), 3 series using three criteria (n = 3 clinical + biochemical + radiological), and 1 series using four criteria. Overall, 20 definitions of GP were found. GP rate was reported by 19 series and ranged between 0% and 87%. This scoping review confirms that a universally accepted definition of GP is absent, and there is no consensus on the criteria on which it should be grounded. Future research should focus on developing a validated definition of GP.

This study aims to develop and validate an integrated predictive model combining CT radiomics and clinical parameters for early assessment of acute pancreatitis severity.

A retrospective cohort of 246 patients with acute pancreatitis was analyzed, with a 70%-30% split for training and validation groups. CT image segmentation was performed using ITK-SNAP, followed by the extraction of radiomics features. The stability of the radiomics features was assessed through inter-observer Intraclass Correlation Coefficient analysis. Feature selection was carried out using univariate analysis and least absolute shrinkage and selection operator (LASSO) regression with 10-fold cross-validation. A radiomics model was constructed through logistic regression to compute the radiomics score. Concurrently, univariate and multivariate logistic regression were employed to identify independent clinical risk factors for the clinical model. The radiomics score and clinical variables were integrated into a combined model, which was visualized with a nomogram. Model performance and net clinical benefit were evaluated through the area under the receiver operating characteristic curve (AUC), the DeLong test, and decision curve analysis.

A total of 913 radiomics features demonstrated satisfactory consistency. Eight features were selected for the radiomics model. Serum calcium, C-reactive protein, and white blood cell count were identified as independent clinical predictors. The AUC of the radiomics model was 0.871 (95% CI, 0.793-0.949) in the training cohort and 0.859 (95% CI, 0.751-0.967) in the validation cohort. The clinical model achieved AUCs of 0.833 (95% CI, 0.756-0.910) and 0.810 (95% CI, 0.692-0.929) for the training and validation cohorts, respectively. The combined model outperformed both the radiomics and clinical models, with an AUC of 0.905 (95% CI, 0.837-0.973) in the training cohort and 0.908 (95% CI, 0.824-0.992) in the validation cohort. The DeLong test confirmed superior predictive performance of the combined model over both the radiomics and clinical models in the training cohort, and over the clinical model in the validation cohort. Decision curve analysis further demonstrated that the combined model provided greater net clinical benefit than the radiomics or clinical models alone.

The clinical-radiomics model offers a novel tool for the early prediction of acute pancreatitis severity, providing valuable support for clinical decision-making.

Early prediction of acute pancreatitis (AP) with acute kidney injury (AKI) using abdominal contrast-enhanced CT could effectively reduce the mortality and the economic burden on patients and society. However, this challenge is limited by the imaging manifestations of early-stage AP that are not clearly visible to the naked eye. To address this, we developed a machine learning model using imperceptible variations in the structural changes of pancreas and peripancreatic region, extracted by radiomics and artificial intelligence technology, to screen and stratify the high-risk AP patients at the early stage of AP. The results demonstrate that the machine learning model could screen the high-risk AP with AKI patients with an area under the curve (AUC) of 0.82 for the external cohort, superior to the human radiologists. This finding confirms the significant potential of machine learning in the screening of acute pancreatitis and contributes to personalized treatment and management for AP patients.

In patients with acute necrotizing pancreatitis (ANP), the site, size, and the number of acute necrotic collections (ANC) may determine the outcome of patients. The current study aimed to correlate the nature of ANC with the adverse outcomes in ANP patients.

This was a single-center, prospective study (August 2019-August 2022) recruiting patients with ANP, correlating the site, size, and number of ANC with the length of hospital stay, intensive care unit (ICU) stays, development of organ failure and infection, need for intervention, and mortality.

A total of 114 patients (mean age: 37.3 ± 13.4 years, 85.1% males) with ANP were included in the study. The number and maximum diameter of collections significantly correlated with the length of the hospital and ICU stay and the need for intervention. Taking a cut-off size of 8 cm, the sensitivity and specificity for predicting the need for intervention were 82.7% and 74.2%, respectively. ANCs located in the perinephric, paracolic, subhepatic, and epigastric regions had a significant correlation with two or more adverse outcomes. Additional points were added to the modified CT severity index (mCTSI) based on the present study's findings. The new score had significantly higher AUROC than mCTSI for predicting infection, need for intervention, ICU stay > 1 week, and mortality.

The site, size, and number of EPNs have a significant correlation with adverse clinical outcomes in patients with ANP. The inclusion of these parameters, along with present scoring systems, will help further improve the prognostication of patients.

The study assessed the diagnostic value of diffusion-weighted imaging (DWI) and mean apparent diffusion coefficient (ADC) in early acute interstitial edematous pancreatitis (AIEP). Fifty-six AIEP patients and 60 healthy controls underwent an upper abdominal magnetic resonance (MR) examination. The pancreas diameter and ADC values were measured and analyzed across age and gender groups. Results showed that the pancreas diameter varied with sex and age, with smaller diameters in females and the elderly. Mean ADC values were not significantly affected by age or sex. Signal changes were observed in AIEP patients' images, with DWI showing a higher positive rate than T1WI and T2WI. Comparing the control and AIEP groups, the pancreas diameter was significantly larger in AIEP patients, particularly the pancreatic tail in males. ADC values were significantly lower in AIEP patients, and the difference was more pronounced at b=800 s/mm² compared to b=500 s/mm². Mean ADC exhibited good diagnostic potential for early AIEP, with higher sensitivity and specificity values than serum amylase levels. The area under the receiver operating characteristic (ROC) curve (AUC) indicated that the diagnostic value was better at b=800 s/mm² than at b=500 s/mm². In conclusion, the study found that normal pancreas diameter is influenced by sex and age, with smaller diameters in females and the elderly. Mean ADC values were not affected by these factors. Early AIEP could not be diagnosed solely based on pancreas diameter changes. DWI combined with Mean ADC demonstrated high diagnostic value for early AIEP.

Investigate the clinical characteristics of splenomegaly secondary to acute pancreatitis (SSAP) and construct a nomogram prediction model based on Lasso-Logistic regression.

A retrospective case-control study was conducted to analyze the laboratory parameters and computed tomography (CT) imaging of acute pancreatitis (AP) patients recruited at Xuanwu Hospital from December 2014 to December 2021. Lasso regression was used to identify risk factors, and a novel nomogram was developed. The performance of the nomogram in discrimination, calibration, and clinical usefulness was evaluated through internal validation.

The prevalence of SSAP was 9.2% (88/950), with the first detection occurring 65(30, 125) days after AP onset. Compared with the control group, the SSAP group exhibited a higher frequency of persistent respiratory failure, persistent renal failure, infected pancreatic necrosis, and severe AP, along with an increased need for surgery and longer hospital stay (P < 0.05 for all). There were 185 and 79 patients in the training and internal validation cohorts, respectively. Variables screened by Lasso regression, including platelet count, white blood cell (WBC) count, local complications, and modified CT severity index (mCTSI), were incorporated into the Logistic model. Multivariate analysis showed that WBC count ≦9.71 × 109/L, platelet count ≦140 × 109/L, mCTSI ≧8, and the presence of local complications were independently associated with the occurrence of SSAP. The area under the receiver operating characteristic curve was 0.790. The Hosmer-Lemeshow test showed that the model had good fitness (P = 0.954). Additionally, the nomogram performed well in the internal validation cohorts.

SSAP is relatively common, and patients with this condition often have a worse clinical prognosis. Patients with low WBC and platelet counts, high mCTSI, and local complications in the early stages of the illness are at a higher risk for SSAP. A simple nomogram tool can be helpful for early prediction of SSAP.

There are no guidelines in the literature for the use of a computed tomography (CT) protocol in the initial phase of acute pancreatitis (AP).

To evaluate the contribution of single portal venous phase CT compared to triple-phase CT protocol, performed in the initial phase of AP for severity assessment.

In this retrospective study, a total of 175 patients with acute pancreatitis who underwent initial triple-phase CT protocol (non-contrast, arterial phase, and portal venous phase) between D3 and D7 after the onset of symptoms were included. Analysis of AP severity and complications was independently assessed by two readers using three validated CT severity scores (CTSI, mCTSI, EPIC). All scores were applied to the triple-phase CT protocol and compared to the single portal venous phase. Inter-observer analyses were also performed.

No significant difference whatever the severity score was observed after analysis of the single portal venous phase compared with the triple-phase CT protocol (interstitial edematous pancreatitis: CTSI: 2 vs. 2, mCTSI: 2 vs. 2, EPIC: 1 vs. 1; necrotizing pancreatitis: CTSI: 6 vs. 6, mCTSI: 8 vs. 8, EPIC: 5 vs. 5). Inter-observer agreement was excellent (ICC = 0.96-0.99), whatever the severity score.

A triple-phase CT protocol performed at the initial phase of AP was no better than a single portal venous for assessing the severity of complications and could lead to a 63% reduction in irradiation.

Machine learning (ML) algorithms are widely applied in building models of medicine due to their powerful studying and generalizing ability. To assess the value of the Modified Computed Tomography Severity Index (MCTSI) combined with serological indicators for early prediction of severe acute pancreatitis (SAP) by automated ML (AutoML).

The clinical data, of the patients with acute pancreatitis (AP) hospitalized in Hospital 1 and hospital 2 from January 2017 to December 2021, were retrospectively analyzed. Serological indicators within 24 hours of admission were collected. MCTSI score was completed by noncontrast computed tomography within 24 hours of admission. Data from the hospital 1 were adopted for training, and data from the hospital 2 were adopted for external validation. The diagnosis of AP and SAP was based on the 2012 revised Atlanta classification of AP. Models were built using traditional logistic regression and AutoML analysis with 4 types of algorithms. The performance of models was evaluated by the receiver operating characteristic curve, the calibration curve, and the decision curve analysis based on logistic regression and decision curve analysis, feature importance, SHapley Additive exPlanation Plot, and Local Interpretable Model Agnostic Explanation based on AutoML.

A total of 499 patients were used to develop the models in the training data set. An independent data set of 201 patients was used to test the models. The model developed by the Deep Neural Net (DL) outperformed other models with an area under the receiver operating characteristic curve (areas under the curve) of 0.907 in the test set. Furthermore, among these AutoML models, the DL and gradient boosting machine models achieved the highest sensitivity values, both exceeding 0.800.

The AutoML model based on the MCTSI score combined with serological indicators has good predictive value for SAP in the early stage.

Background: Acute pancreatitis (AP) has unpredictable severity. Its management is based on initial assessment of disease severity. It ranges from mild interstitial to severe necrotic form; the latter is associated with poor prognosis. Contrast-enhanced computed tomography (CT) of the abdomen is the gold standard in early detection of pancreatic necrosis and in assessing the severity of AP. Two CT grading systems exist to assess the severity of AP: CT severity Index (CSI) and modified CSI (MCSI). This study compares the usefulness of these two systems in predicting the severity and clinical outcome in AP in comparison with Ranson's criteria and clinical outcome parameters. Methods: This is a prospective hospital-based screening study of 80 patients aged >12 years with clinical diagnosis of AP who underwent contrast-enhanced CT study of the abdomen. Comparative analysis between MCSI and CSI with Ranson's criteria and clinical outcome parameters was assessed by Chi-Squared test. Results: The accuracy of CSI and MCSI in predicting the requirement of critical care, superadded infection, multiple organ dysfunction syndrome (MODS) and requirement of intervention were 73.0%, 64.5%, 69.8% 60.9% and 77.2%, 76.0%, 74.4% & 56.6% respectively. Area under the curve for MCSI score was significantly higher (AUC: 0.861; 95% CI: 0.736-0.986) than CSI score (AUC:0.815;95% CI:0.749-0.941). MCSI and CSI showed significant correlation with Ranson's criteria; however, MCSI correlation was better (r:0.53; p<0.01) than CSI (r:0.35;p:0.04). Conclusion: CSI and MCSI are better predictors of severity, clinical outcome and mortality compared with Ranson's criteria, with MCSI being more accurate and better predictor than CSI. The accuracy of MCSI is better than CSI for prediction of requirement of critical care, development of superadded infection and development of MODS in AP. However, CSI and MCSI have low accuracy in predicting intervention in AP.

Pancreatic duct (PD) leaks are a common complication of acute and chronic pancreatitis, trauma to the pancreas, and pancreatic surgery. Diagnosis of PD leaks and fistulas is often made with contrast-enhanced pancreatic protocol computed tomography or magnetic resonance imaging with MRCP. Endoscopic retrograde pancreatography with pancreatic duct stenting in appropriately selected patients is often an effective treatment, helps to avoid surgery, and is considered first-line therapy in cases that fail conservative management.

As the mortality of severe acute pancreatitis (SAP) is significantly higher than those with mild or moderate severity, it is of clinical significance to identify patients most likely to develop SAP at the time of emergency department (ED) presentation.

The aim of this study was to compare the performance of the Bedside Index for Severity in Acute Pancreatitis (BISAP) and the Emergency Department SpO2, Age and SIRS (ED-SAS) scoring systems as early risk assessment tools for identifying patients at high-risk of developing SAP.

We retrospectively reviewed adult patients with AP presented to ED between January 2019-September 2022. We calculated the scores of each patient with the parameters of the initial data. The primary outcome was SAP. The secondary outcomes were 30-day mortality, intensive care admission, and identifying low-risk patients without complications.

Of 415 patients, 34 (8.2%) developed SAP and 15 (3.6%) died. With regard to predicting SAP, BISAP and ED-SAS scores had similar discriminative ability with area under the curves (AUCs) of 0.84 (95% confidence interval [CI]:0.80-0.88) and 0.83 (95% CI:0.79-0.86), respectively (p = 0.642). At a cut-off score of ≥2 for SAP, sensitivity/specificity values were 73.5%/82.4% for BISAP, 76.5%/83.2% for ED-SAS. BISAP and ED-SAS scores of ≥3, yielded sensitivity/specificity values of 50%/95.8% and 35.3%/95.5%, respectively. BISAP and ED-SAS were also similar in predicting mortality (AUCs of 0.92 vs. 0.90, respectively) and intensive care unit admission (AUCs 0.91 vs. 0.91).

The BISAP and ED-SAS scores performed similarly in predicting SAP, mortality, and intensive care unit admission. As an easily calculated tool early in the ED, ED-SAS may be helpful in disposition decisions for emergency physicians.

The aim of our study was to investigate iodine density (ID) and fat fraction (FF) on dual-energy computed tomography (DECT) in patients with acute pancreatitis (AP). This retrospective study included 72 patients with clinically confirmed AP and 62 control subjects with DECT of the abdomen. Two radiologists assessed necrosis and measured attenuation values, ID, and FF in three pancreatic segments. We used receiver operating characteristic (ROC) analysis to determine the optimal threshold for ID for the differentiation between AP groups. The ID was significantly higher in interstitial edematous AP compared to necrotizing AP and the control group (both p < 0.05). The ROC curve analysis revealed the thresholds of ID for detecting pancreatic necrosis ≤ 2.2, ≤2.3, and ≤2.4 mg/mL (AUC between 0.880 and 0.893, p > 0.05) for the head, body, and tail, respectively. The FF was significantly higher for pancreatitis groups when compared with the control group in the head and body segments (both p < 0.001). In the tail, the difference was significant in necrotizing AP (p = 0.028). The ID values were independent of attenuation values correlated with the FF values in pancreatic tissue. Iodine density values allow for differentiation between morphologic types of AP.

We aimed to investigate the prevalence of vascular complications in acute pancreatitis (AP), to compare patient outcomes using various treatments, and to explore the related risk factors.

Consecutive AP patients admitted from January 2010 to July 2017 were retrospectively included. Demographics, vascular complications, laboratory indices, and imaging findings were collected. Univariate and multivariate analyses were used to explore potential risk factors of vascular complications.

Of 3048 AP patients, 808 (26.5%) had vascular complications, including visceral vein thrombosis, sinistral portal hypertension, and arterial complications. And 38 (4.7%) patients received anticoagulant therapy and had a higher rate of recanalization (P < 0.001). Bleeding occurred in 95 (11.8%) patients, who received further treatment. Multivariate analysis identified male gender (odds ratio [OR] 1.650, 95% confidence interval [CI] 1.101-2.472), hyperlipidemia (OR 1.714, 95% CI 1.356-2.165), disease recurrence (OR 3.727, 95% CI 2.713-5.118), smoking (OR 1.519, 95% CI 1.011-2.283), hemoglobin level (OR 0.987, 95% CI 0.981-0.993), white blood cell (WBC) count (OR 1.094, 95% CI 1.068-1.122), non-vascular local complications (OR 3.018, 95% CI 1.992-4.573), computed tomography severity index (CTSI) (OR 1.425, 95% CI 1.273-1.596), and acute physiology and chronic health evaluation (APACHE) II score (OR 1.057, 95% CI 1.025-1.090) were related to vascular complications.

Vascular complications in AP is prevalent and their treatment is challenging. Further investigations are warranted to determine the optimal treatment strategy. Independent risk factors included male gender, hyperlipidemia, disease recurrence, smoking, WBC count, non-vascular local complications, CTSI, and APACHE II score.

Pancreatic walled-off necrosis (WON) carries significant mortality and morbidity risks, often necessitating intensive care unit (ICU) admission. This retrospective study aimed to evaluate whether routine biochemical parameters at the time of the index endoscopic procedure could predict ICU admission and 1-year mortality following endoscopic treatment of WON.

We retrospectively identified 201 consecutive patients who underwent endoscopic drainage for WON between January 1, 2010, and December 31, 2020. Associations between routine biochemical blood tests and outcomes were assessed using logistic regression models.

Within 1 year of the index endoscopy, 31 patients (15.4%) died, and 40 (19.9%) were admitted to the ICU due to sepsis. Preoperative electrolyte disturbances were more prevalent among ICU-admitted patients and nonsurvivors. Hyperkalemia, hypoalbuminemia, and elevated urea were significant predictors of 1-year mortality, while hypernatremia, elevated serum creatinine, and hypoalbuminemia predicted ICU admission. Predictive models exhibited good discriminative ability, with an AUC of 0.84 (95% CI,0,75-0.93) for 1-year mortality and 0.86 (95%CI, 0.79-0.92) for ICU admission.

Preoperative imbalances in routine blood tests effectively predict adverse outcomes in endoscopically treated WON patients.

Endoscopic ultrasound (EUS)-guided endoscopic necrosectomy is an effective and minimally invasive treatment for walled-off pancreatic necrosis (WON). This study investigated the factors affecting the time interval of EUS-guided WON necrosectomy.

Patients who received EUS-guided necrosectomy in the Endoscopy Center of the First Affiliated Hospital of Chongqing Medical University in the past 5 years were retrospectively analyzed. Data including general information, etiology, blood biochemical indexes, physical signs, CT severity grade, location, size, solid necrotic ratio, type and number of stents, and immediate necrosectomy were collected to explore the relationships between these factors and the interval of endoscopic necrosectomy.

A total of 51 WON patients were included. No significant correlation has been noted between the endoscopic debridement interval and the following indexes, including the patients' general information, the etiology of pancreatitis, blood biochemical indexes (leukocyte count, neutrophil percentage, C-reactive protein), preoperative fever, and WON's location and size, type and number of stents, and whether immediate necrosectomy. However, there were significant differences between the debridement interval and the modified CT Severity Index (MCTSI) (p < 0.001), the solid necrotic ratio of WON (p < 0.001) before the intervention, postoperative fever (p = 0.038), C-reactive protein increasing (p = 0.012) and fever before reintervention (p = 0.024).

The EUS-measured solid necrotic ratio, the MCTSI, postoperative fever, C-reactive protein increase, and fever before reintervention in patients affect the time interval of EUS-guided endoscopic necrosectomy in WON patients. These five indicators may be promisingly effective in predicting and managing endoscopic necrosectomy intervals.

Paracolic gutter exudation (PGE) may influence the severity of acute pancreatitis, but no study has explored it extensively. The objective of this study was to evaluate PGE for assessing the severity of disease.

We performed a retrospective analysis of 488 patients from three tertiary hospitals in Guangxi, China. General clinical information, severity, and clinical courses were recorded. The PGE score were classified as follows: 0 for no exudation, 1 for unilateral exudation, and 2 for bilateral exudation. We used ROC curves to assess the predictive value of the PGE score, and logistic regression analysis to determine risk factors associated with death, ICU admission, and the occurrence of MODS.

This study included 352 patients with moderately severe acute pancreatitis (MSAP) and 136 patients with severe acute pancreatitis (SAP). Patients who had PGE experienced higher total hospitalization costs, longer hospital stays, a higher incidence of SAP, higher mortality rates, higher ICU admission rates, a higher incidence of MODS, and higher incidence of infections than those without (P < 0.05). Diagnostic efficacy in predicting severity in patients with MSAP and SAP increased after BISAP, MCTSI, modified Marshall, and SOFA scores combined with PGE score respectively. The PGE score of >1 is an independent risk factor for ICU admission and MODS occurrence. (P < 0.05).

The PGE provides reliable and objective information for assessing severity and clinical course of patients with MSAP and SAP.

As a serious complication of moderately severe acute pancreatitis (MSAP) and severe acute pancreatitis (SAP), infected pancreatic necrosis (IPN) can lead to a prolonged course of interventional therapy. Most predictive models designed to identify such patients are complex or lack validation. The aim of this study was to develop a predictive model for the early detection of IPN in MSAP and SAP.

A total of 594 patients with MSAP or SAP were included in the study. To reduce dimensionality, least absolute shrinkage and selection operator regression analysis was used to screen potential predictive variables, a nomogram was then constructed using logistic regression analysis. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the discrimination, accuracy, and clinical efficacy of the model. External data were also obtained to further validate the constructed model.

There were 476, 118, and 82 patients in the training, internal validation, and external validation cohorts, respectively. Platelet count, hematocrit, albumin/globulin, severity of acute pancreatitis, and modified computed tomography severity index score were independent factors for predicting IPN in MSAP and SAP. The area under the ROC curves were 0.923, 0.940, and 0.817, respectively, in the three groups. There was a good consistency between the actual probabilities and the predicted probabilities. DCA revealed excellent clinical utility.

The constructed nomogram is a simple and feasible model that has good clinical predictive value and efficacy in clinical decision-making for IPN in MSAP and SAP.

This case report discusses the diagnostic challenges and management complexities in a patient presenting with symptoms of diabetic ketoacidosis (DKA) and severe pancreatitis, complicated by concurrent hypertriglyceridemia (HTG) and superior mesenteric vein (SMV) thrombosis. The presence of DKA in acute pancreatitis suggests very severe impact on the pancreas. Hence, it calls for screening with CT imaging for complications like hemorrhagic pancreatitis, necrotizing pancreatitis, or even thrombus. Despite typical reliance on clinical presentation and serum lipase for diagnosing pancreatitis, this case emphasizes the necessity of contrast-enhanced CT imaging in ambiguous cases to identify critical complications like thrombosis and necrotizing pancreatitis. Furthermore, the patient's management involved insulin therapy for DKA and HTG-induced acute pancreatitis, deferring plasmapheresis and anticoagulation due to the risk of hemorrhagic transformation in pancreatitis. This approach highlights the need for individualized treatment strategies, especially in complex presentations with overlapping pathologies. The case also explores the potential for insulin as a first-line treatment in HTG-induced pancreatitis over plasmapheresis, contributing to evolving guidelines.

This is a current update on radiologic imaging and intervention of acute pancreatitis and its complications. In this review, we define the various complications of acute pancreatitis, discuss the imaging findings, as well as the timing of when these complications occur. The various classification and scoring systems of acute pancreatitis are summarized. Advantages and disadvantages of the 3 primary radiologic imaging modalities are compared. We then discuss radiologic interventions for acute pancreatitis. These include diagnostic aspiration as well as percutaneous catheter drainage of fluid collections, abscesses, pseudocysts, and necrosis. Recommendations for when these interventions should be considered, as well as situations in which they are contraindicated are discussed. Fortunately, acute pancreatitis usually is mild; however, serious complications occur in 20%, and admission of patients to the intensive care unit (ICU) occurs in over 10%. In this paper, we will focus on the imaging and interventional radiologic aspects for the serious complications and patients admitted to the ICU.

The prevalence of hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) is increasing due to improvements in living standards and dietary changes. However, currently, there is no clinical multifactor scoring system specific to HTG-AP. This study aimed to screen the predictors of HTG-SAP and combine several indicators to establish and validate a visual model for the early prediction of HTG-SAP.

The clinical data of 266 patients with HTG-SAP were analysed. Patients were classified into severe (N = 42) and non-severe (N = 224) groups according to the Atlanta classification criteria. Several statistical analyses, including one-way analysis, least absolute shrinkage with selection operator (LASSO) regression model, and binary logistic regression analysis, were used to evaluate the data.

The univariate analysis showed that several factors showed no statistically significant differences, including the number of episodes of pancreatitis, abdominal pain score, and several blood diagnostic markers, such as lactate dehydrogenase (LDH), serum calcium (Ca2+), C-reactive protein (CRP), and the incidence of pleural effusion, between the two groups (P < 0.000). LASSO regression analysis identified six candidate predictors: CRP, LDH, Ca2+, procalcitonin (PCT), ascites, and Balthazar computed tomography grade. Binary logistic regression multivariate analysis showed that CRP, LDH, Ca2+, and ascites were independent predictors of HTG-SAP, and the area under the curve (AUC) values were 0.886, 0.893, 0.872, and 0.850, respectively. The AUC of the newly established HTG-SAP model was 0.960 (95% confidence interval: 0.936-0.983), which was higher than that of the bedside index for severity in acute pancreatitis (BISAP) score, modified CT severity index, Ranson score, and Japanese severity score (JSS) CT grade (AUC: 0.794, 0.796, 0.894 and 0.764, respectively). The differences were significant (P < 0.01), except for the JSS prognostic indicators (P = 0.130). The Hosmer-Lemeshow test showed that the predictive results of the model were highly consistent with the actual situation (P > 0.05). The decision curve analysis plot suggested that clinical intervention can benefit patients when the model predicts that they are at risk for developing HTG-SAP.

CRP, LDH, Ca2+, and ascites are independent predictors of HTG-SAP. The prediction model constructed based on these indicators has a high accuracy, sensitivity, consistency, and practicability in predicting HTG-SAP.

The data evaluating contrast-induced-acute kidney injury (AKI) in patients with acute pancreatitis is scarce. This study aimed to compare the frequency of AKI in patients with acute necrotizing pancreatitis undergoing non-contrast computed tomography (NCCT) with those undergoing contrast-enhanced computed tomography (CECT) during hospitalization.

This prospective randomized controlled trial (CTRI/2019/12/022206) screened consecutive patients with acute pancreatitis for eligibility and randomly allocated patients with acute necrotizing pancreatitis (based on CECT in the first week of illness) and normal renal functions to receive either NCCT or CECT during hospitalization. The incidence of development of new AKI and clinical outcomes was compared between the two groups. Post-hoc analysis was done to adjust for disease severity.

As many as 105 patients completed the study as per protocol (NCCT = 45 and CECT = 60). AKI occurred in 36 (34.3%) patients, nine (20%) in the NCCT and 27 (45%) in the CECT group. Contrast induced-AKI occurred in 11 (18.3%) patients, while 25 had AKI secondary to acute pancreatitis. The relative risk (RR) of AKI in the CECT group was 2.25 (95% CI 1.17-4.30, p = .0142). The frequency of intensive care unit (ICU) admission (RR = 2.1, 95% CI 1.34-3.27, p = .0001) and need for drainage of collections (RR = 1.39, 95% CI 1.1-1.7, p = .005) was significantly higher and the length of hospitalization (p = .001) and ICU admission (p = 0.001) were significantly longer in the CECT group. However, when adjusted for the severity of acute pancreatitis, there was no difference in AKI and clinical outcomes between the NCCT and CECT groups. The duration of AKI was significantly longer and the need for dialysis was significantly higher in patients who had AKI secondary to acute pancreatitis compared to those with contrast induced-AKI (p = .003).

CECT is not significantly associated with AKI in acute necrotizing pancreatitis.

Background The present study aimed to evaluate the predictive utility of the C-reactive protein (CRP)/albumin (CRP/Alb) ratio in predicting outcomes of acute pancreatitis in Indian patients. Methods This prospective observational study included 150 patients admitted within 24 hours of symptom onset. Serum CRP and albumin levels were measured to calculate the CRP/Alb ratio. Atlanta criteria classified severity as mild, moderate, or severe. The primary outcome was persistent organ failure. Results The mean age was 45±15 years, and 63% were males. The median C-reactive protein was 120 mg/L, Alb 3.2 g/dL, and CRP/Alb ratio 0.28. Severe acute pancreatitis patients (n = 50) had higher CRP/Alb ratios than mild cases (0.45 vs. 0.20, p<0.001). At a cut-off of 0.25, the CRP/Alb ratio demonstrated 85% sensitivity, 80% specificity, and an AUROC of 0.82 for predicting organ failure. This was significantly higher than the CRP (area under the receiver operating characteristic (AUROC) curve 0.72, p = 0.03) and Ranson score (AUROC 0.76, p = 0.04). On multivariate regression, CRP/Alb ratio >0.25 independently predicted severe acute pancreatitis after adjusting for age, gender, and CT severity index (adjusted OR 5.2, 95% CI 2.8-9.6). Conclusion The CRP/Alb ratio calculated within 24 hours reliably predicts persistent organ dysfunction in Indian acute pancreatitis patients. Incorporating this inexpensive biomarker into clinical prediction tools could significantly improve early risk stratification and streamline healthcare delivery in resource-limited settings.

This study aimed to evaluate acute pancreatitis (AP) severity using convolutional neural network (CNN) models with enhanced computed tomography (CT) scans. Three-dimensional DenseNet CNN models were developed and trained using the enhanced CT scans labeled with two severity assessment methods: the computed tomography severity index (CTSI) and Atlanta classification. Each labeling method was used independently for model training and validation. Model performance was evaluated using confusion matrices, areas under the receiver operating characteristic curve (AUC-ROC), accuracy, precision, recall, F1 score, and respective macro-average metrics. A total of 1,798 enhanced CT scans met the inclusion criteria were included in this study. The dataset was randomly divided into a training dataset (n = 1618) and a test dataset (n = 180) with a ratio of 9:1. The DenseNet model demonstrated promising predictions for both CTSI and Atlanta classification-labeled CT scans, with accuracy greater than 0.7 and AUC-ROC greater than 0.8. Specifically, when trained with CT scans labeled using CTSI, the DenseNet model achieved good performance, with a macro-average F1 score of 0.835 and a macro-average AUC-ROC of 0.980. The findings of this study affirm the feasibility of employing CNN models to predict the severity of AP using enhanced CT scans.

Acute pancreatitis (AP) is a potentially life-threatening inflammatory disease of the pancreas, with clinical management determined by the severity of the disease. Diagnosis, severity prediction, and prognosis assessment of AP typically involve the use of imaging technologies, such as computed tomography, magnetic resonance imaging, and ultrasound, and scoring systems, including Ranson, Acute Physiology and Chronic Health Evaluation II, and Bedside Index for Severity in AP scores. Computed tomography is considered the gold standard imaging modality for AP due to its high sensitivity and specificity, while magnetic resonance imaging and ultrasound can provide additional information on biliary obstruction and vascular complications. Scoring systems utilize clinical and laboratory parameters to classify AP patients into mild, moderate, or severe categories, guiding treatment decisions, such as intensive care unit admission, early enteral feeding, and antibiotic use. Despite the central role of imaging technologies and scoring systems in AP management, these methods have limitations in terms of accuracy, reproducibility, practicality and economics. Recent advancements of artificial intelligence (AI) provide new opportunities to enhance their performance by analyzing vast amounts of clinical and imaging data. AI algorithms can analyze large amounts of clinical and imaging data, identify scoring system patterns, and predict the clinical course of disease. AI-based models have shown promising results in predicting the severity and mortality of AP, but further validation and standardization are required before widespread clinical application. In addition, understanding the correlation between these three technologies will aid in developing new methods that can accurately, sensitively, and specifically be used in the diagnosis, severity prediction, and prognosis assessment of AP through complementary advantages.

To analyse the clinical characteristics and risk factors for tigecycline-induced pancreatitis (TIP) and evaluate the safety and efficiency of tigecycline use in non-TIP.

A retrospective case-control study was conducted on adult and juvenile patients administered tigecycline for >3 days. The adults were classified as TIP, non-TIP (pancreatitis with other causes) and non-pancreatitis. Univariate analyses were performed to compare TIP and non-pancreatitis, and multivariate analysis was used to identify risk factors for TIP. The clinical characteristics of TIP, and the safety and efficiency of tigecycline use in non-TIP were evaluated.

A total of 3910 patients (3823 adults and 87 juveniles) were enrolled. The adult patients comprised 21 TIP, 82 non-TIP and 3720 non-pancreatitis. The TIP prevalence was 0.56% in adults and 1.15% in juveniles. The mean time from tigecycline use to symptom onset was 7.2 days, and all cases were mild pancreatitis. The mean time from tigecycline withdrawal to symptom relief was 3.6 days. The multivariate analysis identified comorbid renal insufficiency as an independent risk factor for TIP (odds ratio = 3.032). Among the 82 non-TIP patients, 81.7% had severe pancreatitis and 47.6% had necrotizing pancreatitis. The modified computed tomography severity score after tigecycline use was similar to that before tigecycline use, but the pancreatic enzymes and infection indices were significantly decreased.

The prevalence of TIP was low. Comorbid renal insufficiency was as an independent risk factor for TIP. Tigecycline is safe and efficient for treatment of pancreatitis, especially necrotizing pancreatitis, with intra-abdominal infection.

Reactive thrombocytosis occurs secondary to systemic infections, inflammatory, and other conditions. The relationship between thrombocytosis and acute pancreatitis (AP) in inflammatory diseases is uncertain. This study aimed to evaluate the clinical significance of thrombocytosis in AP patients during hospitalization.

Subjects within 48 h of AP onset were consecutively enrolled over 6 years. Platelet counts of ≥ 450,000/µL were defined as thrombocytosis, < 100,000/µL as thrombocytopenia, and other counts as normal. We compared clinical characteristics, including the rate of severe AP (SAP) assessed by the Japanese Severity Score; blood markers, including hematologic and inflammatory factors and pancreatic enzymes during hospitalization; and pancreatic complications and outcomes in the three groups.

A total of 108 patients were enrolled. Although, SAP was more common in patients with thrombocytosis and thrombocytopenia (87.9% and 100%, respectively), the differences in lymphocytes and C-reactive protein, lactase dehydrogenase, and antithrombin levels, which are factors of the systemic inflammatory response, and the mean platelet volume, an indicator of platelet activation, were observed among patients with thrombocytosis and thrombocytopenia during hospitalization. Regarding pancreatic complications and outcomes, patients with thrombocytosis and thrombocytopenia had higher acute necrotic collection (ANC), pancreatic necrosis, intestinal paralysis, respiratory dysfunction, and pancreatic-related infection levels than patients with normal platelet levels. The relationship between pancreatic complications and thrombocytosis was assessed by multivariate logistic regression; the odds ratios for development of ANC, pancreatic necrosis and pancreatic-related infections were 7.360, 3.735 and 9.815, respectively.

Thrombocytosis during hospitalization for AP suggests development of local pancreatic complications and pancreatic-related infections.

In treating pancreatic walled-off necrosis (WON), lumen-apposing metal stents (LAMS) have not proven superior to the traditional double pigtail technique (DPT). Among patients with large WON (>15 cm) and their associated substantial risk of treatment failure, the increased drainage capacity of a novel 20-mm LAMS might improve clinical outcomes. Hence, we conducted a study comparing the DPT and 20-mm LAMS in patients with large WON.

A single-centre, open-label, randomised, controlled superiority trial using an endoscopic step-up approach in patients with WON exceeding 15 cm in size. The primary endpoint was the number of necrosectomies needed to achieve clinical success (clinical and CT resolution), while the secondary endpoints included technical success, adverse events, length of stay and mortality.

Twenty-two patients were included in the DPT group and 20 in the LAMS group, with no significant differences in patient characteristics. The median size of WON was 24.1 cm (P25-P75: 19.6-31.1). The technical success rates were 100% for DPT and 95% for LAMS (p=0.48), while clinical success rates were 95.5% and 94.7%, respectively (p=1.0). The mean number of necrosectomies was 2.2 for DPT and 3.2 for LAMS (p=0.42). Five patients (12%) developed procedure-related serious adverse events (DPT=4, LAMS=1, p=0.35). The median length of stay was 43 (P25-P75: 40-67) and 58 days (P25-P75: 40-86) in the DPT and LAMS groups (p=0.71), respectively, with an overall mortality of 4.8%.

For treating large WON, LAMS are not superior to DPT. The techniques are associated with comparable needs for necrosectomy and hospital stay, and no gross difference in adverse events.

NCT04057846.

The relevance of elevated serum triglyceride (TG) levels in the early stages of acute pancreatitis (AP) not induced by hypertriglyceridemia (HTG) remains unclear. Our study aims to determine the role of elevated serum TG levels at admission in developing pancreatic necrosis.

We analyzed the clinical data collected prospectively from patients with AP. According to TG levels measured in the first 24 h after admission, we stratified patients into four groups: Normal TG (< 150 mg/dL), Borderline-high TG (150-199 mg/dL), High TG (200-499 mg/dL) and Very high TG (≥ 500 mg/dL). We analyzed the association of TG levels and other risk factors with the development of pancreatic necrosis.

A total of 211 patients were included. In the Normal TG group: 122, in Borderline-high TG group: 38, in High TG group: 44, and in Very high TG group: 7. Pancreatic necrosis developed in 29.5% of the patients in the Normal TG group, 26.3% in the Borderline-high TG group, 52.3% in the High TG group, and 85.7% in the Very high TG group. The trend analysis observed a significant association between higher TG levels and pancreatic necrosis (p = 0.001). A multivariable analysis using logistic regression showed that elevated TG levels ≥ 200 mg/dL (High TG and Very high TG groups) were independently associated with pancreatic necrosis (OR: 3.27, 95% CI - 6.27, p < 0.001).

An elevated TG level at admission ≥ 200 mg/dl is independently associated with the development of pancreatic necrosis. The incidence of pancreatic necrosis increases proportionally with the severity of HTG.

Background and objectives Studies on the natural history of asymptomatic walled-off necrosis (WON) in acute pancreatitis (AP) are scarce. We conducted a prospective observational study to look for the incidence of infection in WON. Material and methods In this study, we included 30 consecutive AP patients with asymptomatic WON. Their baseline clinical, laboratory, and radiological parameters were recorded and followed up for three months. Mann Whitney U test and unpaired t-tests were used for quantitative data and chi-square and Fisher's exact tests were used for qualitative data analysis. A p-value <0.05 was considered significant. Receiver operating characteristic curve (ROC) analysis was done to identify the appropriate cutoffs for the significant variables. Results Of the 30 patients enrolled, 25 (83.3%) were males. Alcohol was the most common etiology. Eight patients (26.6%) developed an infection on follow-up. All were managed by drainage either percutaneously (n=4, 50%) or endoscopically (n=3, 37.5%). One patient required both. No patient required surgery and there was no mortality. Median baseline C-reactive protein (CRP) was higher in infection group 76 (IQR=34.8) mg/L vs asymptomatic group, 9.5 mg/dl (IQR=13.6), p<0.001. IL-6 and tumor necrosis factor (TNF)-alpha was also higher in the infection group. The size of the largest collection (157.50±33.59 mm vs 81.95±26.22 mm, P<0.001) and CT severity index (CTSI) (9.50±0.93 vs 7.82±1.37, p<0.01) were also higher in infection group as compared to the asymptomatic group. ROC curve analysis of baseline CRP (cutoff 49.5mg/dl), size of WON (cutoff 127mm) and CTSI (cutoff of 9) showed AUROC (area under ROC) of 1, 0.97, and 0.81 respectively for the future development of infection in WON. Conclusion Around one-fourth of asymptomatic WON patients developed an infection during three-months follow-up. Most patients with infected WON can be managed conservatively.

To investigate the predictive value of C-reactive protein (CRP) to serum albumin (ALB) ratio in the severity and prognosis of acute pancreatitis (AP), and compare the predictive value of the CRP/ALB ratio with the Ranson score, modified computed tomography severity index (MCTSI) score, and Bedside Index of Severity in Acute Pancreatitis (BISAP) score.

This cohort study retrospectively analyzed clinical data of AP patients from August 2018 to August 2020 in our hospital. Logistic regression analysis was utilized to determine the effects of CRP/ALB ratio, Ranson, MCTSI, and BISAP score on severe AP (SAP), pancreatic necrosis, organ failure, and death. The predictive values of CRP/ALB ratio, Ranson, MCTSI, and BISAP score were examined with the area under the curve (AUC) of the receiver operator characteristic (ROC) curve analysis. DeLong test was used to compare the AUCs between CRP/ALB ratio, Ranson, MCTSI, and BISAP score.

Totally, 284 patients were included in this study, of which 35 AP patients (12.32%) developed SAP, 29 (10.21%) organ failure, 30 (10.56%) pancreatic necrosis and 11 (3.87%) died. The result revealed that CRP/ALB ratio on day 2 was associated with SAP [odds ratio (OR): 1.74, 95% confidence interval (CI): 1.32 to 2.29], death (OR: 1.73, 95%CI: 1.24 to 2.41), pancreatic necrosis (OR: 1.28, 95%CI: 1.08 to 1.50), and organ failure (OR: 1.43, 95%CI: 1.18 to 1.73) in AP patients. Similarly, CRP/ALB on day 3 was related to a higher risk of SAP (OR: 1.50, 95%CI: 1.24 to 1.81), death (OR: 1.8, 95%CI: 1.34 to 2.65), pancreatic necrosis (OR: 1.22, 95%CI: 1.04 to 1.42), and organ failure (OR: 1.21, 95%CI: 1.04 to 1.41). The predictive value of CRP/ALB ratio for pancreatic necrosis was lower than that of MCTSI, for organ failure was lower than that of Ranson and BISAP, and for death was higher than that of MCTSI.

The CRP/ALB ratio may be a novel but promising, easily measurable, reproducible, non-invasive prognostic score that can be used to predict SAP, death, pancreatic necrosis, and organ failure in AP patients, which can be a supplement of Ranson, MCTSI, and BISAP scores.

To develop and validate deep learning (DL) models for predicting the severity of acute pancreatitis (AP) by using abdominal nonenhanced computed tomography (CT) images.

The study included 978 AP patients admitted within 72 hours after onset and performed abdominal CT on admission. The image DL model was built by the convolutional neural networks. The combined model was developed by integrating CT images and clinical markers. The performance of the models was evaluated by using the area under the receiver operating characteristic curve.

The clinical, Image DL, and the combined DL models were developed in 783 AP patients and validated in 195 AP patients. The combined models possessed the predictive accuracy of 90.0%, 32.4%, and 74.2% for mild, moderately severe, and severe AP. The combined DL model outperformed clinical and image DL models with 0.820 (95% confidence interval, 0.759-0.871), the sensitivity of 84.76% and the specificity of 66.67% for predicting mild AP and the area under the receiver operating characteristic curve of 0.920 (95% confidence interval, 0.873-0.954), the sensitivity of 90.32%, and the specificity of 82.93% for predicting severe AP.

The DL technology allows nonenhanced CT images as a novel tool for predicting the severity of AP.

Early prediction of severe acute pancreatitis (SAP) plays an important role in timely treatment decisions. Soluble T cell immunoglobulin and mucin domain-3 (sTIM-3) has been applied as a potential biomarker for the prediction of many diseases, while its predictive ability for AP severity remains largely unexplored. In this study, we aimed to identify whether serum sTIM-3 could be used as an indicator of AP severity in the early stage of the disease.

A retrospective study was conducted. The enrolled AP patients should meet the 2012 Atlanta guideline and have an onset to admission ≤ 48 h.

A total of 94 AP patients were enrolled in the current analysis, including 42 (45%), 35 (37%), and 17 (18%) patients were diagnosed as mild AP (MAP), moderately SAP (MSAP), and SAP, respectively. SAP patients had significantly higher the white blood cells (WBCs) count, red blood cells (RBCs) count, C-reactive protein (CRP) level, direct bilirubin level, creatinine and procalcitonin levels compared with MAP and MSAP patients. Among SAP and MSAP patients, significantly higher APACHE II, BISAP, and MCTSI scores were observed compared with MAP patients, and there was significant difference in APACHE II and BISAP scores between SAP and MSAP patients. Stepwise multivariate linear regression analysis showed that the concentrations of serum sTIM-3, as well as the BISAP and MCTSI scores, were significantly associated with the severity of AP. The areas under the ROC curve were 0.914 (95% CI, 0.865-0.963), 0.855 (95%CI, 0.742-0.968) 0.853 (95%CI, 0.768-0.938), and 0.746 (95%CI, 0.633-0.860) for BISAP score, APACHE II score, sTIM-3 level, and MCTSI score, respectively.

Serum sTIM-3 might be ultimately incorporated into a predictive system for assessing the severity of AP.