Literature DB >> 11373413

Who bounces back? Physiologic and other predictors of intensive care unit readmission.

A L Rosenberg1, T P Hofer, R A Hayward, C Strachan, C M Watts.   

Abstract

OBJECTIVE: To determine the influence of changes in acute physiology scores (APS) and other patient characteristics on predicting intensive care unit (ICU) readmission.
DESIGN: Secondary analysis of a prospective cohort study.
SETTING: Single large university medical intensive care unit. PATIENTS: A total of 4,684 consecutive admissions from January 1, 1994, to April 1, 1998, to the medical ICU.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: The independent influence of patient characteristics, including daily APS, admission diagnosis, treatment status, and admission location, on ICU readmission was evaluated using logistic regression. After accounting for first ICU admission deaths, 3,310 patients were "at-risk" for ICU readmission and 317 were readmitted (9.6%). Hospital mortality was five times higher (43% vs. 8%; p < .0001), and length of stay was two times longer (16 +/- 16 vs. 32 +/- 28 days; p < .001) in readmitted patients. Mean discharge APS was significantly higher in the readmitted group compared with the not readmitted group (43 +/- 19 vs. 34 +/- 18; p > .01). Significant independent predictors of ICU readmission included discharge APS >40 (odds ratio [OR] 2.1; 95% confidence interval [CI] 1.6-2.7; p < .0001), admission to the ICU from a general medicine ward (Floor) (OR 1.9; 95% CI 1.4-2.6; p < .0001), and transfer to the ICU from other hospital (Transfer) (OR 1.7; 95% CI 1.3-2.3; p < .01). The overall model calibration and discrimination were (H-L chi2 = 3.8, df = 8; p = .85) and (receiver operating characteristic 0.67), respectively.
CONCLUSIONS: Patients readmitted to medical ICUs have significantly higher hospital lengths of stay and mortality. ICU readmissions may be more common among patients who respond poorly to treatment as measured by increased severity of illness at first ICU discharge and failure of prior therapy at another hospital or on a general medicine unit. Tertiary care ICUs may have higher than expected readmission rates and mortalities, even when accounting for severity of illness, if they care for significant numbers of transferred patients.

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Mesh:

Year:  2001        PMID: 11373413     DOI: 10.1097/00003246-200103000-00008

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  52 in total

1.  The epidemiology of intensive care unit readmissions in the United States.

Authors:  Sydney E S Brown; Sarah J Ratcliffe; Jeremy M Kahn; Scott D Halpern
Journal:  Am J Respir Crit Care Med       Date:  2012-01-26       Impact factor: 21.405

2.  A nationwide survey of intensive care unit discharge practices.

Authors:  Claudia-Paula Heidegger; Miriam M Treggiari; Jacques-André Romand
Journal:  Intensive Care Med       Date:  2005-10-26       Impact factor: 17.440

3.  Predicting ICU readmission using grouped physiological and medication trends.

Authors:  Ye Xue; Diego Klabjan; Yuan Luo
Journal:  Artif Intell Med       Date:  2018-09-10       Impact factor: 5.326

4.  Readmission to medical intensive care units: risk factors and prediction.

Authors:  Yong Suk Jo; Yeon Joo Lee; Jong Sun Park; Ho Il Yoon; Jae Ho Lee; Choon-Taek Lee; Young-Jae Cho
Journal:  Yonsei Med J       Date:  2015-03       Impact factor: 2.759

Review 5.  [Benefits of medical emergency teams : Mortality on normal wards and readmission to intensive care wards].

Authors:  Uwe Hamsen; Thomas A Schildhauer; Christian Waydhas
Journal:  Unfallchirurg       Date:  2018-01       Impact factor: 1.000

6.  Readmissions and deaths following ICU discharge: a challenge for intensive care.

Authors:  Tatiane Gomes de Araujo; Marcelo de Mello Rieder; Fernanda Machado Kutchak; João Wilney Franco Filho
Journal:  Rev Bras Ter Intensiva       Date:  2013-03

7.  Preventing Early Bouncebacks to the Neurointensive Care Unit: A Retrospective Analysis and Quality Improvement Pilot.

Authors:  David G Coughlin; Monisha A Kumar; Neha N Patel; Rebecca L Hoffman; Scott E Kasner
Journal:  Neurocrit Care       Date:  2018-04       Impact factor: 3.210

8.  An empirical comparison of key statistical attributes among potential ICU quality indicators.

Authors:  Sydney E S Brown; Sarah J Ratcliffe; Scott D Halpern
Journal:  Crit Care Med       Date:  2014-08       Impact factor: 7.598

9.  Telemedicine coverage for post-operative ICU patients.

Authors:  Tara Ann Collins; Matthew P Robertson; Corinna P Sicoutris; Michael A Pisa; Daniel N Holena; Patrick M Reilly; Benjamin A Kohl
Journal:  J Telemed Telecare       Date:  2016-07-09       Impact factor: 6.184

10.  APACHE III outcome prediction in patients admitted to the intensive care unit after liver transplantation: a retrospective cohort study.

Authors:  Mark T Keegan; Bhargavi Gali; James Y Findlay; Julie K Heimbach; David J Plevak; Bekele Afessa
Journal:  BMC Surg       Date:  2009-07-29       Impact factor: 2.102

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