Predictive nomogram model for major adverse kidney events within 30 days in sepsis patients with type 2 diabetes mellitus.

ABSTRACT:

Background

In sepsis patients, Type 2 Diabetes Mellitus (T2DM) was associated with an increased risk of kidney injury. Furthermore, kidney damage is among the dangerous complications, with a high mortality rate in sepsis patients. However, the underlying predictive model on the prediction of major adverse kidney events within 30 days (MAKE30) in sepsis patients with T2DM has not been reported by any study.

Methods

A total of 406 sepsis patients with T2DM were retrospectively enrolled and divided into a non-MAKE30 group (261 cases) and a MAKE30 group (145 cases). In sepsis patients with T2DM, univariate and multivariate logistic regression analyses were conducted to identify independent predictors of MAKE30. Based on the findings of multivariate logistic regression analysis,

SUBMITTER: Xin Q 

PROVIDER: S-EPMC9800518 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature