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

ABSTRACT: 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

SUBMITTER: Shuanglian Y 

PROVIDER: S-EPMC10709974 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature