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Rev. peru. med. exp. salud publica ; 37(4): 672-680, oct.-dic. 2020. tab, graf
Article in Spanish | LILACS | ID: biblio-1156833

ABSTRACT

RESUMEN Objetivo: Desarrollar un modelo de predicción de riesgo para infección posoperatoria mayor (IPM) a cirugía cardiaca pediátrica y validar el de la Society of Thoracic Surgeons (STS). Materiales y métodos: Se analizó una cohorte retrospectiva de 1025 niños sometidos a cirugía cardiaca con circulación extracorpórea (CEC) del 2000 al 2010. Se empleó un modelo de regresión logística y se validó el modelo. Resultados: De los 1025 pacientes, 59 (5,8%) tuvieron al menos un episodio de IPM (4,8% sepsis, 1% mediastinitis, 0% endocarditis). La mortalidad hospitalaria (63% vs. 13%; p<0,001), al igual que la duración de la ventilación posoperatoria (301,6 vs. 34,3 horas; p<0,001) y la estancia en la unidad de cuidados intensivos (20,9 vs. 5,1 días; p <0,001) fueron mayores en los pacientes con IPM. Los factores predictores fueron: edad, sexo, peso, cardiopatía cianótica, RACHS-1 3-4, clase funcional IV modificada por Ross, estancia hospitalaria previa y antecedente de ventilación mecánica. El modelo tuvo un c-estadístico de 0,80 (intervalo de confianza [IC] al 95%: 0,74-0,86) y es clínicamente útil. El modelo de la STS mostró un c-estadístico de 0,78 (IC 95%: 0,71-0,84) y Hosmer-Lemeshow de 18,2 (p = 0,020). Se realizó una comparación entre ambos modelos empleando una prueba exacta de Fisher. Conclusión: Se desarrolló un modelo para identificar preoperatoriamente a niños con alto riesgo de infección grave después de una cirugía cardiaca con CEC con buen desempeño y calibración. Asimismo, se validó el modelo de la STS con moderada discriminación.


ABSTRACT Objective: The aim of this study was to develop a risk prediction model for major postoperative infection (MPI) after pediatric heart surgery and to validate the model of the Society of Thoracic Surgeons (STS). Materials and methods: We analyzed a retrospective cohort of 1,025 children who underwent heart surgery with cardiopulmonary bypass (CPB) from 2000 to 2010. We used a logistic regression model, which was validated. Results: Of the 1,025 patients, 59 (5.8%) had at least one episode of MPI (4.8% had sepsis, 1% had mediastinitis, 0% had endocarditis). Hospital mortality (63% vs. 13%; p < 0.001), as well as duration of postoperative ventilation (301.6 vs. 34.3 hours; p < 0.001) and intensive care unit stay (20.9 vs. 5.1 days; p < 0.001) were higher in patients with MPI. The predictive factors found were age, sex, weight, cyanotic heart disease, RACHS-1 3-4, Ross-modified functional class IV, previous hospital stay, and previous history of mechanical ventilation. The proposed model had a c-statistic of 0.80 (95% CI: 0.74-0.86) and was considered as clinically useful. The STS model showed a c-statistic of 0.78 (95% CI: 0.71-0.84) and a Hosmer-Lemeshow of 18.2 (P = 0.020). A comparison between the two models was made using an accurate Fisher test. Conclusion: A model with good performance and calibration was developed to preoperatively identify children at high risk for severe infection after cardiac surgery with CPB. The STS model was also validated and was found to have a moderate discrimination performance.


Subject(s)
Humans , Male , Female , Thoracic Surgery , Cardiac Surgical Procedures , Infections , Postoperative Complications , Child Health , Extracorporeal Circulation , Forecasting
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