During septic shock, fluid therapy is aimed at increasing cardiac output and improving tissue
oxygenation, but it poses two problems: it has inconsistent and transient efficacy, and it has …

Critically ill patients constitute a highly heterogeneous population, with seemingly distinct
patients having similar outcomes, and patients with the same admission diagnosis having …

Neural network models have demonstrated impressive performance in predicting
pathologies and outcomes from the 12-lead electrocardiogram (ECG). However, these …

The general physical examination of a patient is an axiom of critical care medicine, but
evidence to support this practice remains sparse. Given the lack of evidence for a …

Abstract We validated a Deep Embedded Clustering (DEC) model and its adaptation for
integrating mixed datatypes (in this study, numerical and categorical variables). Deep …

Background Mortality rates associated with acute kidney injury (AKI) vary among critically ill
patients. Outcomes are often not corrected for severity or duration of AKI. Our objective was …

Purpose The aim was to compare non-invasive blood pressure measurements with invasive
blood pressure measurements in critically ill patients. Methods Non-invasive blood pressure …

Aim Myocardial dysfunction and low cardiac index are common after out-of-hospital cardiac
arrest (OHCA) as part of the post-cardiac arrest syndrome. This study investigates the …

Introduction Recent studies have shown the prognostic value of capillary refill time (CRT)
and suggested that resuscitation management guided by CRT may reduce morbidity and …

OBJECTIVES: In a recent scoping review, we identified 43 mortality prediction models for
critically ill patients. We aimed to assess the performances of these models through external …