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


Journal

American journal of critical care : an official publication, American Association of Critical-Care Nurses
ISSN: 1937-710X
Titre abrégé: Am J Crit Care
Pays: United States
ID NLM: 9211547

Informations de publication

Date de publication:
01 01 2022
Historique:
entrez: 1 1 2022
pubmed: 2 1 2022
medline: 8 4 2022
Statut: ppublish

Résumé

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. 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. 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). 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 34972850
pii: 31652
doi: 10.4037/ajcc2022223
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1-e9

Informations de copyright

©2022 American Association of Critical-Care Nurses.

Auteurs

Rob Boots (R)

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.

Gabrielle Mead (G)

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

Oliver Rawashdeh (O)

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

Judith Bellapart (J)

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.

Shane Townsend (S)

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

Jenny Paratz (J)

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.

Nicholas Garner (N)

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

Pierre Clement (P)

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

David Oddy (D)

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

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