ArticleBMC pediatrics2022
Internal validation and evaluation of the predictive performance of models based on the PRISM-3 (Pediatric Risk of Mortality) and PIM-3 (Pediatric Index of Mortality) scoring systems for predicting mortality in Pediatric Intensive Care Units (PICUs).
Article in BMC pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Phase angle as a marker of outcome in hospitalized pediatric patients. A systematic review of the evidence (GRADE) with meta-analysis.Reviews in endocrine & metabolic disorders · 2023Pooled it
- Evaluation of the pSOFA Score in a Pediatric Intensive Care Unit and Its Discriminative Performance Compared with PRISM 4 and PIM 3.Healthcare (Basel, Switzerland) · 2026Article
- Early Gut Microbiome-Short-Chain Fatty Acid Axis Disruption May Be Associated with Delayed Recovery in Critically Ill Children.Nutrients · 2026Observational
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- Short-term risk stratification using parallel admission and reassessment features in PICU patients with infection.Frontiers in pediatrics · 2026Article
- Article
- Performance of the pediatric index of mortality (PIM-3) in a Moroccan PICU: challenges in resource-limited settings.European journal of pediatrics · 2025Article
- Can PIM3 predict mortality adequately for patients admitted to Pediatric Intensive Care Unit in a resource limited setting? A single-center study.BMC pediatrics · 2025Observational
- A Quality Improvement Intervention for the Initial Care of Pediatric Septic Shock in a Resource-Limited Setting.Journal of pediatrics. Clinical practice · 2025Article
- Predictors of response to peri-arrest bolus epinephrine in children.Resuscitation plus · 2025Article
- Comparative Performance of Pediatric Risk of Mortality IV and Pediatric Index of Mortality 3 in Critically Ill Children with Cancer: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- Patient follow-up after discharge from the paediatric intensive care unit: A scoping review.Nursing in critical care · 2025Article
- Mortality in children and adolescents with autoimmune inflammatory rheumatic diseases admitted to the pediatric intensive care unit.Pediatric rheumatology online journal · 2025Article
- Medical Toxicology Consultations and Mortality Among Patients With Poisonings in the PICU.JAMA network open · 2025Article
- Article
- A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department.Scientific reports · 2024Article
- External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals.Wellcome open research · 2024Article
- Radiologic Assessment of Lung Edema Score as a Predictor of Clinical Outcome in Children with Acute Respiratory Distress Syndrome.Yonsei medical journal · 2023Article
- Comparison of Six Scoring Systems for Predicting In-hospital Mortality among Patients with SARS-COV2 Presenting to the Emergency Department.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023Article
- Comparing In-Hospital Mortality Prediction by Senior Emergency Resident's Judgment and Prognostic Models in the Emergency Department.BioMed research international · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe study was aimed to assess the prognostic power The Pediatric Risk of Mortality-3 (PRISM-3) and the Pediatric Index of Mortality-3 (PIM-3) to predict in-hospital mortality in a sample of patients admitted to the PICUs. DESIGN AND
methodsThe study was performed to include all children younger than 18 years of age admitted to receive critical care in two hospitals, Mashhad, northeast of Iran from December 2017 to November 2018. The predictive performance was quantified in terms of the overall performance by measuring the Brier Score (BS) and standardized mortality ratio (SMR), discrimination by assessing the AUC, and calibration by applying the Hosmer-Lemeshow test.
resultsA total of 2446 patients with the median age of 4.2 months (56% male) were included in the study. The PICU and in-hospital mortality were 12.4 and 16.14%, respectively. The BS of the PRISM-3 and PIM-3 was 0.088 and 0.093 for PICU mortality and 0.108 and 0.113 for in-hospital mortality. For the entire sample, the SMR of the PRISM-3 and PIM-3 were 1.34 and 1.37 for PICU mortality and 1.73 and 1.78 for in-hospital mortality, respectively. The PRISM-3 demonstrated significantly higher discrimination power in comparison with the PIM-3 (AUC = 0.829 vs 0.745) for in-hospital mortality. (AUC = 0.779 vs 0.739) for in-hospital mortality. The HL test revealed poor calibration for both models in both outcomes.
conclusionsThe performance measures of PRISM-3 were better than PIM-3 in both PICU and in-hospital mortality. However, further recalibration and modification studies are required to improve the predictive power to a clinically acceptable level before daily clinical use. PRACTICE IMPLICATIONS: The calibration of the PRISM-3 model is more satisfactory than PIM-3, however both models have fair discrimination power.
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