Temperature Curve Complexity Predicts Survival in Critically Ill Patients

200664 citationsJournal Article

Authors

Manuel Varela · Hospital Universitario de Móstoles

Juan Churruca · Hospital Universitario de Móstoles

Ana Laura González · Hospital Universitario de Móstoles

A. Daniel Martin · Hospital Universitario de Móstoles

Jesus Ode · Hospital Universitario de Móstoles

P. Galdós · Hospital Universitario de Móstoles

Abstract

Low levels of complexity in the temperature curve are indicators of poor prognosis in patients with multiple organ failure. The predictive ability of temperature curve complexity is similar to that of the SOFA score.

Topics & Keywords

Climate Change and Health Impacts Renal function and acid-base balance Heart Rate Variability and Autonomic Control

UN Sustainable Development Goals

No poverty

Publication Details

Published in: American Journal of Respiratory and Critical Care Medicine

Volume 174, Issue 3, pp. 290-298

DOI: 10.1164/rccm.200601-058oc

Field-Weighted Citation Impact: 2.51