Validation of pediatric index of mortality 2 (PIM2) in a single pediatric intensive care unit of Argentina.
OBJECTIVE
Pediatric Index of Mortality 2 (PIM2) is an up-to-date mortality prediction model in the public domain that has not yet been widely validated. We aimed to evaluate this score in the population of patients admitted to our pediatric intensive care unit.


METHODS
Prospective cohort study.


METHODS
Multidisciplinary pediatric intensive care unit in a general university hospital in Buenos Aires, Argentina.


METHODS
All consecutive patients admitted between January 1, 2004, and December 31, 2005.


METHODS
None.


RESULTS
There were 1,574 patients included in the study. We observed 41 (2.6%) deaths, and PIM2 estimated 48.1 (3.06) deaths. Discrimination assessed by the area under the receiver operating characteristic curve was 0.9 (95% confidence interval, 0.89-0.92). Calibration across five conventional mortality risk intervals assessed by the Hosmer-Lemeshow goodness-of-fit test showed chi5 = 12.2 (p = .0348). The standardized mortality ratio for the whole population was 0.85 (95% confidence interval, 0.6-1.1).


CONCLUSIONS
PIM2 showed an adequate discrimination between death and survival and a poor calibration assessed by the Hosmer-Lemeshow goodness-of-fit test. The standardized mortality ratio and clinical analysis of the Hosmer-Lemeshow table make us consider that PIM2 reasonably predicted the outcome of our patients.
Eulmesekian
Pablo G
PG
Pediatric Intensive Care Unit of Hospital Italiano de Buenos Aires, Argentina.
Pérez
Augusto
A
Minces
Pablo G
PG
Ferrero
Hilario
H
D000293:Adolescent; D001118:Argentina; D016009:Chi-Square Distribution; D002648:Child; D046688:Child Mortality; D002675:Child, Preschool; D015331:Cohort Studies; D016001:Confidence Intervals; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D007223:Infant; D007226:Infant Mortality; D015278:Intensive Care Units, Pediatric; D007902:Length of Stay; D008297:Male; D017063:Outcome Assessment, Health Care; D011336:Probability; D011379:Prognosis; D011446:Prospective Studies; D012121:Respiration, Artificial; D016019:Survival Analysis; D013997:Time Factors