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J Card Surg ; 24(4): 414-23, 2009.
Artículo en Inglés | MEDLINE | ID: mdl-19583609

RESUMEN

BACKGROUND: Early tracheal extubation is a common goal after cardiac surgery and may improve postoperative outcomes. Our study evaluates the impact of a quality improvement program (QIP) on early extubation, pulmonary complications, and resource utilization after cardiac surgery. METHODS: Between 2002 and 2006, 980 patients underwent early tracheal extubation (<6 hours after surgery) and 1231 had conventional extubation (> 6 hours after surgery, conventional group). Outcomes compared between the two groups included: (1) pneumonia, (2) sepsis, (3) intensive care unit (ICU) length of stay, (4) hospital length of stay, (5) ICU readmission, and (6) reintubation. Logistic regression analysis and propensity score adjustment were used to adjust for imbalances in the patients' preoperative characteristics. RESULTS: Early extubation rates were significantly increased with QIP (QIP 53% vs. Non-QIP 38%, p = 0.01). Early extubation was associated with a lower rate of (1) pneumonia (odds ratio [OR]= 0.35, 95% confidence intervals [CI]= 0.22-0.55, p <0.001), (2) sepsis (OR = 0.38, CI = 0.20-0.74, p <0.004), (3) prolonged ICU length of stay (OR = 0.42, CI = 0.35-0.50, p <0.001), (4) hospital length of stay (OR = 0.37, CI = 0.29-0.47, p <0.001), (5) ICU readmission (OR = 0.55, CI = 0.39-0.78, p <0.001), and (6) reintubation (OR = 0.53, CI = 0.34-0.81, p <0.003) both in multivariable logistic regression analysis and propensity score adjustment. CONCLUSIONS: QIP and early tracheal extubation reduce pulmonary complications and resource utilization after cardiac surgery.


Asunto(s)
Puente de Arteria Coronaria , Válvulas Cardíacas/cirugía , Intubación Intratraqueal , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/prevención & control , Garantía de la Calidad de Atención de Salud , Femenino , Humanos , Unidades de Cuidados Intensivos/estadística & datos numéricos , Tiempo de Internación/estadística & datos numéricos , Masculino , Análisis Multivariante , North Carolina , Readmisión del Paciente/estadística & datos numéricos , Neumonía/epidemiología , Sepsis/epidemiología , Factores de Tiempo
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