ArticleMedizinische Klinik, Intensivmedizin und Notfallmedizin2019
Prediction of ICU mortality in critically ill children : Comparison of SOFA, GCS, and FOUR score.
Article in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Development a clinical prediction model of the neurological outcome for patients with coma and survived 24 hours after cardiopulmonary resuscitation.Clinical cardiology · 2020Pooled it
- Deep learning-based natural language processing for critical care identification in pediatric emergency department.BMC emergency medicine · 2026Article
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- Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis.BMC infectious diseases · 2024Article
- RAPID-ED: A predictive model for risk assessment of patient's early in-hospital deterioration from emergency department.Resuscitation plus · 2024Article
- Development and psychometric properties of teamwork scale in resuscitation: A sequential exploratory mixed-method study.Journal of education and health promotion · 2023Article
- Prospective Cohort Study on Cumulative Fluid Balance and Outcome in Critically Ill Children Using a Restrictive Fluid Protocol.Indian journal of pediatrics · 2022Article
- The Significance of The Detection of Serum Lactate Dehydrogenase, Hypersensitive C-Reactive Protein, and N-Terminal Pro-Brain Natriuretic Peptide for the Evaluation of the Severity and Progression of Pediatric Patients with Traumatic Brain Injury.Current neurovascular research · 2022Article
- Prediction of Mortality in the Medical Intensive Care Unit with Serial Full Outline of Unresponsiveness Score in Elderly Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022Article
- Prospective Inverse Probability of Treatment-Weighting Analysis of the Clinical Outcome of Red Blood Cell Transfusion Practice in Critically Ill Children.Indian journal of pediatrics · 2021Article
- Nursing-Sensitive Outcomes among Patients Cared for in Paediatric Intensive Care Units: A Scoping Review.International journal of environmental research and public health · 2021Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe SOFA (Sequential Organ Failure Assessment), GCS (Glasgow Coma Scale), and FOUR (Full Outline of UnResponsiveness) scores are the most commonly used scoring systems to predict the risk of mortality and morbidity in intensive care units (ICUs). The aim of the current study was to compare the predictive ability of these three models for predicting medical/surgical ICU mortality in critically ill children.
methodsIn the current observational and prospective study, a total of 90 consecutive patients, age ≤18 years, admitted to medical and surgical ICUs, were enrolled. The SOFA, GCS, FOUR score and demographic characteristics of all children were recorded on the first day of admission. For statistical analyses, a receiver operator characteristic (ROC) curve, the Hosmer-Lemeshow goodness of fit test, and logistic regression were used (95% confidence interval).
resultsThe SOFA, GCS, and FOUR scores between survivors and nonsurvivors were statistically different (p = 0.002, p < 0.001, p = 0.004, respectively). The discrimination power for SOFA, GCS, and FOUR score was moderate (area under ROC [AUC] curve: 75.1%; standard error [SE]: 6.0%, 72.9% [SE: 7.2%], 78.7% [SE: 6.6%], respectively). The only well-calibrated model was GCS (x
conclusionsThe performance of the three predictive models SOFA, GCS, and FOUR score for predicting outcomes in children admitted to medical and surgical ICUs was good. The discrimination was moderate for all three models, and calibration was good just for GCS. GCS was superior in predicting outcome in critically ill children; however, further studies are needed to validate these scores in the pediatric population.
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