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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Scientists | 1 | 33% |
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% |