ArticleIntensive care medicine2013
Mortality prediction models for pediatric intensive care: comparison of overall and subgroup specific performance.
Article in Intensive care medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Article
- Severity of illness and organ dysfunction scoring systems in pediatric critical care: The impacts on clinician's practices and the future.Frontiers in pediatrics · 2022Review
- Predicting Outcome in Mechanically Ventilated Pediatric Patients.Journal of pediatric intensive care · 2020Article
- Retrospective cohort study on factors associated with mortality in high-risk pediatric critical care patients in the Netherlands.BMC pediatrics · 2019Article
- The occurrence of adverse events in low-risk non-survivors in pediatric intensive care patients: an exploratory study.European journal of pediatrics · 2018Article
- Salivary biomarkers may measure stress responses in critically ill children.SAGE open medicine · 2018Article
- The Potential Harm of Cytomegalovirus Infection in Immunocompetent Critically Ill Children.Frontiers in pediatrics · 2018Article
- End-of-Life and Bereavement Care in Pediatric Intensive Care Units.Pediatric clinics of North America · 2017Review
- Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants.BMC pediatrics · 2017Observational
- Observational
- Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators.Journal of biomedical informatics · 2015Article
- Early fluid accumulation in children with shock and ICU mortality: a matched case-control study.Intensive care medicine · 2015Article
- The Next Generation of Clinical Decision Making Tools: Development of a Real-Time Prediction Tool for Outcome of Prostate Biopsy in Response to a Continuously Evolving Prostate Cancer Landscape.The Journal of urology · 2015Article
- Health-related quality of life following pediatric critical illness.Intensive care medicine · 2015Review
- Pattern of in-hospital pediatric mortality over a 3-year period at University teaching hospitals in Iran.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2015Article
- Risk of bloodstream infection in children admitted to paediatric intensive care units in England and Wales following emergency inter-hospital transfer.Intensive care medicine · 2014Article
- Year in review in Intensive Care Medicine 2013: III. Sepsis, infections, respiratory diseases, pediatrics.Intensive care medicine · 2014Article
- Are the Pediatric Index of Mortality 2 and 3 equal predictors of mortality? An intensive care unit-based concordance study.Revista Brasileira de terapia intensivaArticle
- PIM2, lactate, and trauma score to predict mortality in critically ill pediatric trauma patients.Jornal de pediatriaArticle
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo validate paediatric index of mortality (PIM) and pediatric risk of mortality (PRISM) models within the overall population as well as in specific subgroups in pediatric intensive care units (PICUs).
methodsVariants of PIM and PRISM prediction models were compared with respect to calibration (agreement between predicted risks and observed mortality) and discrimination (area under the receiver operating characteristic curve, AUC). We considered performance in the overall study population and in subgroups, defined by diagnoses, age and urgency at admission, and length of stay (LoS) at the PICU. We analyzed data from consecutive patients younger than 16 years admitted to the eight PICUs in the Netherlands between February 2006 and October 2009. Patients referred to another ICU or deceased within 2 h after admission were excluded.
resultsA total of 12,040 admissions were included, with 412 deaths. Variants of PIM2 were best calibrated. All models discriminated well, also in patients <28 days of age (neonates), with overall higher AUC for PRISM variants (PIM = 0.83, PIM2 = 0.85, PIM2-ANZ06 = 0.86, PIM2-ANZ08 = 0.85, PRISM = 0.88, PRISM3-24 = 0.90). Best discrimination for PRISM3-24 was confirmed in 13 out of 14 subgroup categories. After recalibration PRISM3-24 predicted accurately in most (12 out of 14) categories. Discrimination was poorer for all models (AUC < 0.73) after LoS of >6 days at the PICU.
conclusionAll models discriminated well, also in most subgroups including neonates, but had difficulties predicting mortality for patients >6 days at the PICU. In a western European setting both the PIM2(-ANZ06) or a recalibrated version of PRISM3-24 are suited for overall individualized risk prediction.
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