Length of intensive care unit stay following cardiac surgery: Is it impossible to find a universal prediction model?

Interactive Cardiovascular and Thoracic Surgery

Volumn 15, Issue 5, 2012, Pages 825-833

  Widyastuti, Yunita ^a,b   Stenseth, Roar ^a,c   Wahba, Alexander ^a,c   Pleym, Hilde ^c   Videm, Vibeke ^a,c  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b GADJAH MADA UNIVERSITY   (Indonesia)

^c TRONDHEIM UNIVERSITY HOSPITAL   (Norway)

Author keywords

Cardiac surgery; Length of ICU stay; Risk prediction

Indexed keywords

AGED; ARTICLE; BOOTSTRAPPING; CALIBRATION; FEMALE; HEART SURGERY; HOSPITAL POLICY; HUMAN; INTENSIVE CARE UNIT; INTERNAL VALIDITY; INTRAOPERATIVE PERIOD; LENGTH OF STAY; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; PREDICTION; PREOPERATIVE PERIOD; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; STATISTICAL MODEL; UNIVERSAL PREDICTION MODEL;

AGED; CARDIAC SURGICAL PROCEDURES; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; LOGISTIC MODELS; MALE; MODELS, STATISTICAL; NORWAY; PATIENT DISCHARGE; PROPORTIONAL HAZARDS MODELS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; TIME FACTORS; TREATMENT OUTCOME;

EID: 84869184280     PISSN: 15699293     EISSN: 15699285     Source Type: Journal    
DOI: 10.1093/icvts/ivs302     Document Type: Article

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