Time of Day and its Association with Risk of Death and Chance of Discharge in Critically Ill Patients: A Retrospective Study.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
29 08 2019
Historique:
received: 12 03 2019
accepted: 14 08 2019
entrez: 31 8 2019
pubmed: 31 8 2019
medline: 11 11 2020
Statut: epublish

Résumé

Outcomes following admission to intensive care units (ICU) may vary with time and day. This study investigated associations between time of day and risk of ICU mortality and chance of ICU discharge in acute ICU admissions. Adult patients (age ≥ 18 years) who were admitted to ICUs participating in the Austrian intensive care database due to medical or surgical urgencies and emergencies between January 2012 and December 2016 were included in this retrospective study. Readmissions were excluded. Statistical analysis was conducted using the Fine-and-Gray proportional subdistribution hazards model concerning ICU mortality and ICU discharge within 30 days adjusted for SAPS 3 score. 110,628 admissions were analysed. ICU admission during late night and early morning was associated with increased hazards for ICU mortality; HR: 1.17; 95% CI: 1.08-1.28 for 00:00-03:59, HR: 1.16; 95% CI: 1.05-1.29 for 04:00-07:59. Risk of death in the ICU decreased over the day; lowest HR: 0.475, 95% CI: 0.432-0.522 for 00:00-03:59. Hazards for discharge from the ICU dropped sharply after 16:00; lowest HR: 0.024; 95% CI: 0.019-0.029 for 00:00-03:59. We conclude that there are "time effects" in ICUs. These findings may spark further quality improvement efforts.

Identifiants

pubmed: 31467390
doi: 10.1038/s41598-019-48947-y
pii: 10.1038/s41598-019-48947-y
pmc: PMC6715801
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12533

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Auteurs

Paul Zajic (P)

Div. of General Anaesthesiology, Emergency- and Intensive Care Medicine Medical University of Graz, Graz, Austria.

Peter Bauer (P)

Centre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.

Andrew Rhodes (A)

St George's University Hospitals NHS Foundation Trust, St George's University of London, London, United Kingdom.

Rui Moreno (R)

Unidade de Cuidados Intensivos Neurocríticos, Centro Hospitalar de Lisboa Central, Lisbon, Portugal.

Tobias Fellinger (T)

Centre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.

Barbara Metnitz (B)

Austrian Centre for Documentation and Quality Assurance in Intensive Care, Vienna, Austria.

Martin Posch (M)

Centre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.

Philipp G H Metnitz (PGH)

Div. of General Anaesthesiology, Emergency- and Intensive Care Medicine Medical University of Graz, Graz, Austria. philipp.metnitz@medunigraz.at.

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Classifications MeSH