OBJECTIVE: To determine the performance of each of the available pediatric index of mortality (PIM) scores, by assessing the capability for discrimination and calibration in patients admitted to a pediatric intensive care unit in Bogotá. DESIGN AND SETTING: We designed a retrospective, observational cohort study, which included all patients aged between a month and 17 years and 364 days, admitted to the pediatric intensive care unit of a high complexity university hospital between April 1, 2016 and December 31, 2018. We analyzed the standardized mortality ratio, discrimination, calibration, and net reclassification index (NRI) for each model. RESULTS: A total of 722 patients were included, the mortality rate was 3.74%, and for PIM-3, the ratio between expected and observed mortality was 0.66 [confidence interval (CI) 0.40-1.05] for PIM-2 and 1.00 (CI 0.59-1.68) for PIM-3. The Hosmer-Lemeshow (HL) test suggests inadequate calibration for PIM-2 (HL = 13.18, p = 0.11) and adequate calibration for PIM-3 (HL = 28.08, p < 0.01). The area under the diagnostic performance curves for PIM-2 and PIM-3 were 0.87 (95% CI 0.80-0.94) and 0.89 (95% CI 0.82-0.95), respectively. The NRI was -27.1%. PIM-3 classified survivors better than PIM-2, but inadequately classified nonsurvivors. CONCLUSION: Although both models show adequate discrimination ability, PIM-3 shows a better correlation between predicted risk score and observed mortality. Thus, it may be a useful tool for measuring the internal processes of intensive care units in Colombia and for making comparisons between groups of similar characteristics. HOW TO CITE THIS ARTICLE: Quiñónez-López D, Patino-Hernandez D, Zuluaga CA, García ÁA, Muñoz-Velandia OM. Comparison of Performance of the Pediatric Index of Mortality (PIM)-2 and PIM-3 Scores in the Pediatric Intensive Care Unit of a High Complexity Institution. Indian J Crit Care Med 2020;24(11):1095-1102.
OBJECTIVE: To determine the performance of each of the available pediatric index of mortality (PIM) scores, by assessing the capability for discrimination and calibration in patients admitted to a pediatric intensive care unit in Bogotá. DESIGN AND SETTING: We designed a retrospective, observational cohort study, which included all patients aged between a month and 17 years and 364 days, admitted to the pediatric intensive care unit of a high complexity university hospital between April 1, 2016 and December 31, 2018. We analyzed the standardized mortality ratio, discrimination, calibration, and net reclassification index (NRI) for each model. RESULTS: A total of 722 patients were included, the mortality rate was 3.74%, and for PIM-3, the ratio between expected and observed mortality was 0.66 [confidence interval (CI) 0.40-1.05] for PIM-2 and 1.00 (CI 0.59-1.68) for PIM-3. The Hosmer-Lemeshow (HL) test suggests inadequate calibration for PIM-2 (HL = 13.18, p = 0.11) and adequate calibration for PIM-3 (HL = 28.08, p < 0.01). The area under the diagnostic performance curves for PIM-2 and PIM-3 were 0.87 (95% CI 0.80-0.94) and 0.89 (95% CI 0.82-0.95), respectively. The NRI was -27.1%. PIM-3 classified survivors better than PIM-2, but inadequately classified nonsurvivors. CONCLUSION: Although both models show adequate discrimination ability, PIM-3 shows a better correlation between predicted risk score and observed mortality. Thus, it may be a useful tool for measuring the internal processes of intensive care units in Colombia and for making comparisons between groups of similar characteristics. HOW TO CITE THIS ARTICLE: Quiñónez-López D, Patino-Hernandez D, Zuluaga CA, García ÁA, Muñoz-Velandia OM. Comparison of Performance of the Pediatric Index of Mortality (PIM)-2 and PIM-3 Scores in the Pediatric Intensive Care Unit of a High Complexity Institution. Indian J Crit Care Med 2020;24(11):1095-1102.
Authors: Maarten J G Leening; Moniek M Vedder; Jacqueline C M Witteman; Michael J Pencina; Ewout W Steyerberg Journal: Ann Intern Med Date: 2014-01-21 Impact factor: 25.391
Authors: Lahn Straney; Archie Clements; Roger C Parslow; Gale Pearson; Frank Shann; Jan Alexander; Anthony Slater Journal: Pediatr Crit Care Med Date: 2013-09 Impact factor: 3.624
Authors: Maria Pilar Arias Lopez; Ariel L Fernández; María E Ratto; Liliana Saligari; Alejandro Siaba Serrate; In Ja Ko; Eduardo Troster; Eduardo Schnitzler Journal: J Crit Care Date: 2015-08-05 Impact factor: 3.425
Authors: María Del P Arias López; Nancy Boada; Analía Fernández; Ariel L Fernández; María E Ratto; Alejandro Siaba Serrate; Eduardo Schnitzler Journal: Pediatr Crit Care Med Date: 2018-12 Impact factor: 3.624