Which models can I use to predict adult ICU length of stay? A systematic review

Critical Care Medicine

Volumn 45, Issue 2, 2017, Pages e222-e231

  Verburg, Ilona Willempje Maria ^a   Atashi, Alireza ^b,c   Eslami, Saeid ^a,b,d   Holman, Rebecca ^a   Abu Hanna, Ameen ^a   De Jonge, Everet ^e   Peek, Niels ^f   De Keizer, Nicolette Fransisca ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b MASHHAD UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c AVICENNA RESEARCH INSTITUTE   (Iran)

^d MASHHAD UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^e LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^f UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

benchmarking; intensive care units; length of stay; prediction; review

Indexed keywords

ADULT; APACHE; BENCHMARKING; CALIBRATION; CHECKLIST; GEOGRAPHIC DISTRIBUTION; HEART SURGERY; HOSPITAL BED CAPACITY; HOSPITAL MORTALITY; HOSPITAL READMISSION; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; PREDICTION; PRIORITY JOURNAL; REVIEW; SURVIVOR; TEACHING HOSPITAL; TOTAL QUALITY MANAGEMENT; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ADULT; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; MODELS, STATISTICAL;

EID: 84992110628     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000002054     Document Type: Review

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