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Dataset Information

Tracking longitudinal biomarkers in burn patients with sepsis and acute kidney injury: an unsupervised clustering approach.


ABSTRACT:

Background

Sepsis is a grave medical disorder characterized by a systemic inflammatory response to infection. Furthermore, it is a leading cause of morbidity and mortality, especially in hospitalized patients. Acute kidney injury (AKI) is a common complication of sepsis and is associated with increased morbidity and mortality. Patients with burns are particularly vulnerable to developing sepsis and AKI due to the extensive tissue damage and immune suppression resulting from burn injury. In this study, unsupervised clustering algorithms were used to track longitudinal biomarkers in patients with burns and assess their impact on mortality.

Methods

This retrospective study included adult patients with burns aged ≥ 18 years, who were admitted to the burn intensive care unit of H

SUBMITTER: Kim M 

PROVIDER: S-EPMC10464319 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature