Unknown

Dataset Information

Clustering based on renal and inflammatory admission parameters in critically ill patients admitted to the ICU.


ABSTRACT:

Introduction

The COVID-19 pandemic has been associated with significant variability in acute kidney injury (AKI) incidence, leading to concerns regarding patient heterogeneity. The study's primary objective was a cluster analysis, to identify homogeneous subgroups of patients (clusters) using baseline characteristics, including inflammatory biomarkers. The secondary objectives were the comparisons of MAKE-90 and mortality between the different clusters at three months.

Methods

This retrospective single-center study was conducted in the Medical Intensive Care Unit of the University Hospital of Clermont-Ferrand, France. Baseline data, clinical and biological characteristics on ICU admission, and outcomes at day 90 were recorded. The primary outcome was the risk of major advers

SUBMITTER: Mascle O 

PROVIDER: S-EPMC11530013 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature