Unknown

Dataset Information

Nomogram model for predicting secondary infection in critically ill patients with heatstroke: A pilot study from China.


ABSTRACT:

Objective

In this retrospective analysis, we explored the clinical characteristics and risk factors of secondary infections in patients with severe heatstroke with the aim to gain epidemiological insights and identify risk factors for secondary infections.

Method

The study included 129 patients with severe heatstroke admitted to the General Hospital of the Southern Theater Command of the PLA between January 1, 2011, and December 31, 2021. Patients were divided into an infection group (n = 24) and a non-infection group (n = 105) based on infection occurrence within 48 h of intensive care unit (ICU) admission. Clinical indicators, infection indicators, and clinical outcomes within 24 h of ICU admission were collected and compared between the groups. Independent risk factors fo

SUBMITTER: Lin G 

PROVIDER: S-EPMC11670984 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature