Evidence map›Paper›PMID 19325466›Full record

ArticleCritical care medicine2009

Intensive care unit occupancy and patient outcomes.

Theodore J Iwashyna, Andrew A Kramer, Jeremy M Kahn

Abstract readMulticenter Study
In one paragraph

Article in Critical care medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
–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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Quality Indicators in Adult Critical Care Medicine.Global journal on quality and safety in healthcare · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Assessment of a novel marker of ICU strain, the ICU Activity Index, during the COVID-19 pandemic in Victoria, Australia.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2021
    Article
  13. Observational
  14. Article
  15. Discordant Cardiopulmonary Resuscitation and Code Status at Death.Journal of pain and symptom management · 2021
    Article
  16. Article
  17. Effects of Delayed Initiation of End-of-life Care in Terminally Ill Intensive Care Unit Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Theodore J IwashynaDepartment of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA. iwashyna@alumni.princeton.edu
Andrew A Kramer
Jeremy M Kahn

Funding

Cardiology & pulmonary research training grantT32HL007891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jason D Christie · 1998 to 2026
$12.0M
The structure and outcomes of critical care transfer networkK08HL091249 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI IWASHYNA, THEODORE J · 2008 to 2012
$661k
NHLBI NIH HHS 5T32HL007891NHLBI NIH HHS K08 HL091249NHLBI NIH HHS K08-HL091249NHLBI NIH HHS T32 HL007891
6 · The paper itself

Abstract

principleAlthough intensive care units (ICUs) with higher overall patient volume may achieve better outcomes than lower volume ICUs, there are few data on the effects of increasing patient loads on patients within the ICU.

objectivesTo examine the association of ICU occupancy with the patient outcomes within the same ICU.

methodsWe examined 200,499 patients in 108 ICUs using the Acute Physiology and Chronic Health Evaluation IV database in 2002-2005. Daily census on the day of admission was determined for each patient and defined in relation to the mean census. We used conditional logistic regression to compare inpatient outcomes of patients admitted on high census days to those admitted in the same ICU on low census days. We controlled for severity of illness at the patient level using data on clinical, demographic, and physiologic variables on admission to the ICU. MEASUREMENTS AND MAIN

resultsPatients admitted on high census days had the same odds of inpatient mortality or transfer to another hospital as patients admitted on average or on low census days. These findings were robust to multiple alternative definitions of day of admission census and were confirmed in several subgroup analyses.

conclusionsThe ICUs in this data are able to function as high reliability organizations. They are able to scale up their operations to meet the needs of a wide range of operating conditions while maintaining consistent patient mortality outcomes.

Indexed as

Bed OccupancyAgedAged, 80 and overAPACHECritical CareCritical IllnessFemaleHealth Care SurveysHospital MortalityHumansIntensive Care UnitsLength of StayLinear ModelsLogistic ModelsMaleMiddle Aged

Identifiers

PMID19325466
PMCPMC2782597

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Registered trials

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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.