“Variables pronósticas de mortalidad en la Unidad de Cuidados Intensivos Pediátricos del Hospital Vicente Corral Moscoso. Cuenca, Ecuador. 2019

Abstract

BACKGROUND. Knowing parameters that provide timely information about the severity of the patient is a useful prognostic tool to determine the evolution of the patient. OBJECTIVE. To determine the prognostic variables of mortality in the patient admitted to the Intensive Care Unit of the Vicente Corral Moscoso Regional Hospital in the city of Cuenca, Ecuador during the period January to December 2019. METHODOLOGY. Quantitative, analytical study; the universe was constituted by the patients admitted to the Pediatric Intensive Care Unit during 2019. The information was tabulated and analyzed in the SPSS15 program; a logistic regression analysis was performed taking as a dependent variable the mortality recorded and as independent variables the PM2 score, sex, age and provenance. Standardized mortality was used to determine the prognostic usefulness of PIM2 and the ROC curve was used to determine the discriminatory mortality capacity. RESULTS. 222 patients were studied; 53.6% were women, the age group that predominated was that of infants (37.8%). The 56.3% suffered from comorbidity, with the most frequent heart diseases (40%). The mortality expected by PIM2 was the same as that observed, which was 10.4%. a standardized mortality of 1.00 was established. The area under the ROC curve was 0.827 (95% CI 0.728-0.925). CONCLUSIONS. The PIM2 scale is a good predictor of mortality; however, socio-demographic (age, sex, origin) variables do not interfere with or predict mortality.