A Preoperative and Intraoperative Predictive Model of Prolonged Intensive Care Unit Stay for Valvular Surgery Cardiovascular Institute and Fuwai Heart Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China |
|||||||
Background and aim of the study: In developing countries,
the costs of intensive care unit (ICU) stay are very high for patients
after valve surgery. In addition, patients with a prolonged ICU stay
have a poor prognosis compared to those with a short ICU stay. The study
aim was to develop a specific risk model and to use a logistic EuroSCORE
model to predict prolonged ICU stay after valve surgery. |
surgery were risk factors. Mitral valve surgery reduced
the risk of prolonged ICU stay. Observed probabilities compared well
with predicted probabilities. The ROC curve produced an area under the
curve (AUC) value of 0.81 for prolonged ICU stay. Based on predicted
probability, patients were classified as low-risk (0£P<10%),
intermediate-risk (10%£P<20%), high-risk (20%£P<40%)
and very high-risk (≥40%) groups. A P-value ≥40% was used
as a cut-off point for the prognostic test. The specificity of this test
was 97%, sensitivity 32%, positive predictive value 62%, negative predictive
value 89%, positive likelihood ratio 10.67, and negative likelihood ratio
0.70. The ROC curve of a logistic EuroSCORE model gave an AUC value of
0.66 for prolonged ICU stay. |
||||||
|
|||||||