ArticleBMC gastroenterology2022
Prognostic clinical indexes for prediction of acute gangrenous cholecystitis and acute purulent cholecystitis.
Article in BMC gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 12 citations in OpenAlex.
- Preoperative prediction of acute severe cholecystitis using an attentive interpretable tabular network (TabNet)-based radiomics model and a stacking ensemble: a two-center study.Annals of medicine · 2026Article
- Diagnostic and Prognostic Value of AISI, SII, and SIRI in Predicting Gangrenous Evolution of Acute Lithiasic Cholecystitis.Diagnostics (Basel, Switzerland) · 2026Article
- Development and external validation of a machine learning model for predicting gangrenous cholecystitis.Frontiers in medicine · 2026Article
- Predicting the timing of LC after PTGBD in elderly patients with acute cholecystitis: a machine learning approach with a web-based calculator.Langenbeck's archives of surgery · 2025Article
- An explainable predictive machine learning model of gangrenous cholecystitis based on clinical data: a retrospective single center study.World journal of emergency surgery : WJES · 2025Article
- Development and Validation of an Explainable Machine Learning Model for Gangrenous Cholecystitis Prediction: A Multicenter Retrospective Study.Journal of inflammation research · 2025Article
- The Value of Systemic Inflammatory Index and Nutritional Marker in Predicting Acute Calculus Cholecystitis and Its Severity.Journal of inflammation research · 2025Article
- Metabolic score tool for personalized acute pancreatitis prognosis: A multicenter analysis.Biomolecules & biomedicine · 2024Article
- The Role of Different Systemic Inflammatory Indexes Derived from Complete Blood Count in Differentiating Acute from Chronic Calculus Cholecystitis and Predicting Its Severity.Journal of inflammation research · 2024Article
- A new method for predicting SIRS after percutaneous transhepatic gallbladder drainage.Scientific reports · 2023Article
- [Risk Factors Associated with Acute Gangrenous Cholecystitis].Acta gastroenterologica LatinoamericanaArticle
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPreoperative prediction of severe cholecystitis (SC), including acute gangrenous cholecystitis (AGC) and acute purulent cholecystitis (APC), as opposed to acute exacerbation of chronic cholecystitis (ACC), is of great significance, as SC is associated with high mortality rate.
methodsIn this study, we retrospectively investigated medical records of 114 cholecystitis patients, treated in Shanghai No. 6 People's Hospital from February 2009 to July 2020. Gallbladder wall thickness (GBWT), indexes of blood routine examination, including white blood cell (WBC), alkaline phosphatase (ALP), the percentage of neutrophil, alanine transaminase (ALT), aspartate aminotransferase (AST), fibrinogen (FIB), gamma-glutamyl transferase, prothrombin time and total bilirubin were evaluated. One-way analysis of variance (ANOVA) was used to evaluate significant differences between a certain kind of SC and ACC to select a prediction index for each kind of SC. Receiver operating characteristic (ROC) curve analysis was conducted to identify the prediction effectiveness of these indexes and their optimal cut-off values.
resultsHigher WBC and lower ALP were associated with AGC diagnosis (P < 0.05). Higher percentage of neutrophils was indicative of APC and AGC, while higher GBWT was significantly associated with APC diagnosis (P < 0.05) The optimal cut-off values for these indexes were established at 11.1*10
conclusionWe established a predictive model for the differentiations of APC and AGC from ACC using clinical indexes, such as GBWT, the percentage of neutrophil and WBC, and determined cut-off values for these indexes based on ROC curves. Index values exceeding these cut-off values will allow to diagnose patients as APC and AGC, as opposed to a diagnosis of ACC.
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