Predicting deterioration of patients with early sepsis at the emergency department using continuous heart rate variability analysis: a model-based approach.

ABSTRACT:

Background

Sepsis is a life-threatening disease with an in-hospital mortality rate of approximately 20%. Physicians at the emergency department (ED) have to estimate the risk of deterioration in the coming hours or days and decide whether the patient should be admitted to the general ward, ICU or can be discharged. Current risk stratification tools are based on measurements of vital parameters at a single timepoint. Here, we performed a time, frequency, and trend analysis on continuous electrocardiograms (ECG) at the ED to try and predict deterioration of septic patients.

Methods

Patients were connected to a mobile bedside monitor that continuously recorded ECG waveforms from triage at the ED up to 48 h. Patients were post-hoc stratified into three groups depending on the de

SUBMITTER: van Wijk RJ 

PROVIDER: S-EPMC10067229 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature