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Readmissions and Death after ICU Discharge: Development and Validation of Two Predictive Models

Overview of attention for article published in PLOS ONE, November 2012
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Title
Readmissions and Death after ICU Discharge: Development and Validation of Two Predictive Models
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048758
Pubmed ID
Authors

Omar Badawi, Michael J. Breslow

Abstract

Early discharge from the ICU is desirable because it shortens time in the ICU and reduces care costs, but can also increase the likelihood of ICU readmission and post-discharge unanticipated death if patients are discharged before they are stable. We postulated that, using eICU® Research Institute (eRI) data from >400 ICUs, we could develop robust models predictive of post-discharge death and readmission that may be incorporated into future clinical information systems (CIS) to assist ICU discharge planning.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Netherlands 2 1%
United States 2 1%
France 1 <1%
Unknown 131 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 17%
Student > Master 21 15%
Student > Ph. D. Student 16 12%
Other 13 9%
Student > Bachelor 9 7%
Other 28 20%
Unknown 27 20%
Readers by discipline Count As %
Medicine and Dentistry 47 34%
Nursing and Health Professions 19 14%
Engineering 13 9%
Computer Science 6 4%
Social Sciences 4 3%
Other 20 14%
Unknown 29 21%