Predictors of length of stay in intensive care unit after coronary artery bypass grafting: development a risk scoring system
Rev. bras. cir. cardiovasc
;
36(1): 57-63, Jan.-Feb. 2021. tab, graf
Artículo
en Inglés
| LILACS
| ID: biblio-1155802
ABSTRACT
Abstract Introduction:
To determine predictors of length of stay (LOS) in the intensive care unit (ICU) after coronary artery bypass grafting (CABG) and to develop a risk scoring system were the objectives of this study.Methods:
In this retrospective study, 1202 patients' medical records after CABG were evaluated by a research-made checklist. Tarone-Ware test was used to determine the predictors of patients' LOS in the ICU. Cox regression model was used to determine the risk factors and risk ratios associated with ICU LOS.Results:
The mean ICU LOS after CABG was 55.27±17.33 hours. Cox regression model showed that having more than two chest tubes (95% confidence interval [CI] 1.005-1.287, Relative Risk [RR]=1.138), occurrence of atelectasis (95% CI 1.000-3.007, RR=1.734), and occurrence of atrial fibrillation after CABG (95% CI 1.428-2.424, RR=1.861) were risk factors associated with longer ICU LOS. The discrimination power of this set of predictors was demonstrated with an area under the receiver operating characteristic curve and it was 0.69. A simple risk scoring system was developed based on three identified predictors that can raise ICU LOS.Conclusion:
The simple risk scoring system developed based on three identified predictors can help to plan more accurately a patient's LOS in hospital for CABG and can be useful in managing human and financial resources.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Puente de Arteria Coronaria
/
Unidades de Cuidados Intensivos
Tipo de estudio:
Estudio de etiología
/
Estudio observacional
/
Estudio pronóstico
/
Factores de riesgo
Límite:
Humanos
Idioma:
Inglés
Revista:
Rev. bras. cir. cardiovasc
Asunto de la revista:
Cardiología
/
Cirugía General
Año:
2021
Tipo del documento:
Artículo
País de afiliación:
Irán
Institución/País de afiliación:
Guilan University of Medical Sciences/IR
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