Unknown

Dataset Information

Establishment and validation of a prediction model for acute kidney injury in moderate severe and severe acute pancreatitis patients.


ABSTRACT:

Purpose

This study aimed to develop a nomogram for predicting acute kidney injury (AKI) in patients with moderate severe acute pancreatitis (MSAP) and severe acute pancreatitis (SAP).

Methods

This study enrolled a total of 1,077 patients with MSAP and SAP, categorizing them into three groups: training (n = 646), internal validation (n = 278), and external validation (n = 153). In the training cohort, logistic regression analysis identified independent predictors of AKI in patients with MSAP and SAP. A nomogram was developed based on these independent predictors. The model's performance was assessed using the receiver operating characteristics (ROC) curve, precision-recall (PR) curve, calibration curve, and decision curve analysis (DCA).

Results

The incidence rates of

SUBMITTER: Chen WJ 

PROVIDER: S-EPMC11924734 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature