Evidence map›Paper›PMID 31467390›Full record

ArticleScientific reports2019

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

Paul Zajic, Peter Bauer, Andrew Rhodes, Rui Moreno, Tobias Fellinger, Barbara Metnitz, Martin Posch, Philipp G H Metnitz

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Paul ZajicDiv. of General Anaesthesiology, Emergency- and Intensive Care Medicine Medical University of Graz, Graz, Austria.
Peter BauerCentre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Andrew RhodesSt George's University Hospitals NHS Foundation Trust, St George's University of London, London, United Kingdom.ORCID http://orcid.org/0000-0002-8737-574X
Rui MorenoUnidade de Cuidados Intensivos Neurocríticos, Centro Hospitalar de Lisboa Central, Lisbon, Portugal.
Tobias FellingerCentre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Barbara MetnitzAustrian Centre for Documentation and Quality Assurance in Intensive Care, Vienna, Austria.
Martin PoschCentre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Philipp G H MetnitzDiv. of General Anaesthesiology, Emergency- and Intensive Care Medicine Medical University of Graz, Graz, Austria. philipp.metnitz@medunigraz.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AgedCritical IllnessFemaleHumansIntensive Care UnitsMaleMiddle AgedPatient DischargeProportional Hazards ModelsRetrospective StudiesTime Factors

Identifiers

PMID31467390
PMCPMC6715801

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.