Temperature Profile and Adverse Outcomes After Discharge From the Intensive Care Unit

Author:

Boots Rob1,Mead Gabrielle2,Rawashdeh Oliver3,Bellapart Judith4,Townsend Shane5,Paratz Jenny6,Garner Nicholas7,Clement Pierre8,Oddy David9

Affiliation:

1. Rob Boots is an associate professor, Thoracic Medicine, Royal Brisbane and Women’s Hospital, and Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia.

2. Gabrielle Mead is an honors student, School of Biomedical Sciences, Faculty of Medicine, The University of Queensland.

3. Oliver Rawashdeh is a senior lecturer,, School of Biomedical Sciences, Faculty of Medicine, The University of Queensland.

4. Judith Bellapart is a senior specialist, Department of Intensive Care Medicine, Royal Brisbane and Women’s Hospital, and Burns, Trauma and Critical Care, The University of Queensland.

5. Shane Townsend is director, Intensive Care Services, Royal Brisbane and Women’s Hospital.

6. Jenny Paratz is an associate professor and a senior research fellow, Burns, Trauma and Critical Care Research Centre, The University of Queensland School of Medicine.

7. Nicholas Garner is a PhD student, School of Biomedical Sciences, Faculty of Medicine, The University of Queensland.

8. Pierre Clement is the clinical information systems manager, Department of Intensive Care Services, Royal Brisbane and Women’s Hospital.

9. David Oddy is the clinical data manager, Department of Intensive Care Services, Royal Brisbane and Women’s Hospital.

Abstract

Background A predictive model that uses the rhythmicity of core body temperature (CBT) could be an easily accessible clinical tool to ultimately improve outcomes among critically ill patients. Objectives To assess the relation between the 24-hour CBT profile (CBT-24) before intensive care unit (ICU) discharge and clinical events in the step-down unit within 7 days of ICU discharge. Methods This retrospective cohort study in a tertiary ICU at a single center included adult patients requiring acute invasive ventilation for more than 48 hours and assessed major clinical adverse events (MCAEs) and rapid response system activations (RRSAs) within 7 days of ICU discharge (MCAE-7 and RRSA-7, respectively). Results The 291 enrolled patients had a median mechanical ventilation duration of 139 hours (IQR, 50-862 hours) and at admission had a median Acute Physiology and Chronic Health Evaluation II score of 22 (IQR, 7-42). At least 1 MCAE or RRSA occurred in 64% and 22% of patients, respectively. Independent predictors of an MCAE-7 were absence of CBT-24 rhythmicity (odds ratio, 1.78 [95% CI, 1.07-2.98]; P = .03), Sequential Organ Failure Assessment score at ICU discharge (1.10 [1.00-1.21]; P = .05), male sex (1.72 [1.04-2.86]; P = .04), age (1.02 [1.00-1.04]; P = .02), and Charlson Comorbidity Index (0.87 [0.76-0.99]; P = .03). Age (1.03 [1.01-1.05]; P = .006), sepsis at ICU admission (2.02 [1.13-3.63]; P = .02), and Charlson Comorbidity Index (1.18 [1.02-1.36]; P = .02) were independent predictors of an RRSA-7. Conclusions Use of CBT-24 rhythmicity can assist in stratifying a patient’s risk of subsequent deterioration during general care within 7 days of ICU discharge.

Publisher

AACN Publishing

Subject

Critical Care Nursing,General Medicine

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