Prediction Models for Prolonged Intensive Care Unit Stay After Cardiac Surgery | Zendy

Roelof Ettema | Zendy; Linda M. Peelen | Zendy; Marieke J. Schuurmans | Zendy; Arno P. Nierich | Zendy; Cor J. Kalkman | Zendy; Karel G.M. Moons | Zendy

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Prediction Models for Prolonged Intensive Care Unit Stay After Cardiac Surgery

Author(s) -

Roelof Ettema,

Linda M. Peelen,

Marieke J. Schuurmans,

Arno P. Nierich,

Cor J. Kalkman,

Karel G.M. Moons

Publication year - 2010

Publication title -

circulation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.795

H-Index - 607

eISSN - 1524-4539

pISSN - 0009-7322

DOI - 10.1161/circulationaha.109.926808

Subject(s) - medicine , intensive care unit , euroscore , cardiac surgery , confidence interval , receiver operating characteristic , emergency medicine , intensive care medicine , population , predictive modelling , intensive care , statistics , mathematics , environmental health

Several models have been developed to predict prolonged stay in the intensive care unit (ICU) after cardiac surgery. However, no extensive quantitative validation of these models has yet been conducted. This study sought to identify and validate existing prediction models for prolonged ICU length of stay after cardiac surgery.

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