Acute Crit Care.  2018 Aug;33(3):170-177. 10.4266/acc.2018.00150.

Validation of Pediatric Index of Mortality 3 for Predicting Mortality among Patients Admitted to a Pediatric Intensive Care Unit

Affiliations
  • 1Department of Pediatrics, Severance Hospital, Seoul, Korea. mhsohn@yuhs.ac
  • 2Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.
  • 3Department of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Abstract

BACKGROUND
The objective of this study was to evaluate the usefulness of the newest version of the pediatric index of mortality (PIM) 3 for predicting mortality and validating PIM 3 in Korean children admitted to a single intensive care unit (ICU).
METHODS
We enrolled children at least 1 month old but less than 18 years of age who were admitted to the medical ICU between March 2009 and February 2015. Performances of the pediatric risk of mortality (PRISM) III, PIM 2, and PIM 3 were evaluated by assessing the area under the receiver operating characteristic (ROC) curve, conducting the Hosmer-Lemeshow test, and calculating the standardized mortality ratio (SMR).
RESULTS
In total, 503 children were enrolled; the areas under the ROC curve for PRISM III, PIM 2, and PIM 3 were 0.775, 0.796, and 0.826, respectively. The area under the ROC curve was significantly greater for PIM 3 than for PIM 2 (P < 0.001) and PRISM III (P=0.016). There were no significant differences in the Hosmer-Lemeshow test results for PRISM III (P=0.498), PIM 2 (P=0.249), and PIM 3 (P=0.337). The SMR calculated using PIM 3 (1.11) was closer to 1 than PIM 2 (0.84).
CONCLUSIONS
PIM 3 showed better prediction of the risk of mortality than PIM 2 for the Korean pediatric population admitted in the ICU.

Keyword

intensive care units; mortality; pediatrics; prognosis

MeSH Terms

Child
Critical Care*
Humans
Intensive Care Units*
Mortality*
Pediatrics
Prognosis
ROC Curve

Figure

  • Figure 1. Area under the receiver operating characteristic (ROC) curve of pediatric risk of mortality (PRISM) III, pediatric index of mortality (PIM) 2 and PIM 3. Area under the ROC of PIM 3 was significantly greater than PIM 2 (P<0.001) and PRISM III (P=0.016). AUC: area under the curve.

  • Figure 2. Calibration curves for observed mortality against predicted risk of death for the pediatric index of mortality (PIM) 2 and PIM 3 models. The standardized mortality ratio (SMR) calculated using PIM 3 was closer to 1 than that calculated using PIM 2.


Cited by  2 articles

Clinical implications of discrepancies in predicting pediatric mortality between Pediatric Index of Mortality 3 and Pediatric Logistic Organ Dysfunction-2
Eui Jun Lee, Bongjin Lee, You Sun Kim, Yu Hyeon Choi, Young Ho Kwak, June Dong Park
Acute Crit Care. 2022;37(3):454-461.    doi: 10.4266/acc.2021.01480.

Incidence and Mortality Trends in Critically Ill Children: A Korean Population-Based Study
Jaeyoung Choi, Esther Park, Ah Young Choi, Meong Hi Son, Joongbum Cho
J Korean Med Sci. 2023;38(23):e178.    doi: 10.3346/jkms.2023.38.e178.


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