Clinical usefulness of scoring systems to predict severe acute pancreatitis: A systematic review and meta‐analysis with pre and post‐test probability assessment

G Capurso, R Ponz de Leon Pisani… - United European …, 2023 - Wiley Online Library
Background Scoring systems for severe acute pancreatitis (SAP) prediction should be used
in conjunction with pre‐test probability to establish post‐test probability of SAP, but data of …

[HTML][HTML] Risk Prediction Models for Hospital Mortality of General Medical Patients: A Systematic Review

YM Hydoub, AP Walker, RW Kirchoff, HM Alzu'bi… - American journal of …, 2023 - Elsevier
Objective To systematically review contemporary prediction models for hospital mortality
developed or validated in general medical patients. Methods We screened articles in five …

[HTML][HTML] Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data

J Luo, L Lan, S Huang, X Zeng, Q Xiang, M Li… - Journal of Biomedical …, 2023 - Elsevier
It is extremely important to identify patients with acute pancreatitis who are at high risk for
developing persistent organ failures early in the course of the disease. Due to the irregularity …

[HTML][HTML] Early prediction of acute pancreatitis severity based on changes in pancreatic and peripancreatic computed tomography radiomics nomogram

Y Zhao, J Wei, B Xiao, L Wang, X Jiang… - Quantitative Imaging in …, 2023 - ncbi.nlm.nih.gov
Background Early identification of severe acute pancreatitis (SAP) is key to reducing
mortality and improving prognosis. We aimed to establish a radiomics model and nomogram …

To Establish an Early Prediction Model for Acute Respiratory Distress Syndrome in Severe Acute Pancreatitis Using Machine Learning Algorithm

W Zhang, Y Chang, Y Ding, Y Zhu, Y Zhao… - Journal of Clinical …, 2023 - mdpi.com
Objective: To develop binary and quaternary classification prediction models in patients with
severe acute pancreatitis (SAP) using machine learning methods, so that doctors can …

Development and Validation of a Dynamic Nomogram for Predicting in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study in the …

K Zou, S Huang, W Ren, H Xu, W Zhang… - … Journal of General …, 2023 - Taylor & Francis
Purpose The aim of this study is to develop and validate a predictive model for the prediction
of in-hospital mortality in patients with acute pancreatitis (AP) based on the intensive care …

Triglycerides to high‐density lipoprotein cholesterol (TG/HDL‐C) ratio is an independent predictor of the severity of hyperlipidaemic acute pancreatitis

Y Huang, Y Zhu, Y Peng, W Xia, L Chen… - Journal of Hepato …, 2023 - Wiley Online Library
Background The incidence of acute pancreatitis caused by hyperlipidaemia is increasing. A
quick and easy diagnosis of the severity of hyperlipidaemic acute pancreatitis (HTGP) is …

Physical activity, sedentary behavior and pancreatitis risk: Mendelian randomization study

R Ling, J Liang, S Mo, J Qi, X Fu, Y Tian - PloS one, 2023 - journals.plos.org
Background Although observational studies have shown that physical activity is a protective
factor for acute pancreatitis, the causal associations between PA/sedentary behavior and …

GlycA: Evaluation of a New Biomarker of Acute Pancreatitis

I Shah, W Yakah, A Ahmed, SD Freedman, ZG Jiang… - Biomolecules, 2023 - mdpi.com
Background: Acute pancreatitis (AP) is a leading cause of gastrointestinal hospital
admissions, with up to 40% mortality in patients with moderate–severe AP. Glycoprotein …

Establishment and validation of early prediction model for hypertriglyceridemic severe acute pancreatitis

Y Shuanglian, Z Huiling, L Xunting, D Yifang… - Lipids in Health and …, 2023 - Springer
Background The prevalence of hypertriglyceridaemia-induced acute pancreatitis (HTG-AP)
is increasing due to improvements in living standards and dietary changes. However …