ArticleThe journal of allergy and clinical immunology. In practice
Development and internal validation of a pediatric acute asthma prediction rule for hospitalization.
Article in The journal of allergy and clinical immunology. In practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Challenges in evaluating the accuracy of AI-containing digital triage systems: A systematic review.PloS one · 2022Pooled it
- Do Motor Difficulties in Infancy Predict 7-year-olds' Behavioural Health? Findings from the Avon Longitudinal Study of Parents and Children.Journal of pediatrics. Clinical practice · 2025Article
- Forecasting Hospitalization for Adult Asthma Patients in Emergency Departments Based on Multiple Environmental and Clinical Factors.Journal of asthma and allergy · 2025Article
- Defining Treatment Response for Clinical Trials of Pediatric Acute Asthma.The journal of allergy and clinical immunology. In practice · 2023Article
- Prospective Observational Study of Clinical Outcomes After Intravenous Magnesium for Moderate and Severe Acute Asthma Exacerbations in Children.The journal of allergy and clinical immunology. In practice · 2022Observational
- Management of Children with Acute Asthma Attack: A RAND/UCLA Appropriateness Approach.International journal of environmental research and public health · 2021Article
- A NICE combination for predicting hospitalisation at the Emergency Department: a European multicentre observational study of febrile children.The Lancet regional health. Europe · 2021Article
- Article
- Emergency department treatment of asthma in children: A review.Journal of the American College of Emergency Physicians open · 2020Review
- Peak Expiratory Flow and Forced Expiratory Volume in 1 Second Percent Predicted Values Are Not Interchangeable Pediatric Asthma Exacerbation Severity Measures.Annals of the American Thoracic Society · 2020Article
- Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.JAMA network open · 2019Article
- Risk Prediction Score for HIV Infection: Development and Internal Validation with Cross-Sectional Data from Men Who Have Sex with Men in China.AIDS and behavior · 2018Article
- Guideline on management of the acute asthma attack in children by Italian Society of Pediatrics.Italian journal of pediatrics · 2018Review
- The asthma prediction rule to decrease hospitalizations for children with asthma.Current opinion in allergy and clinical immunology · 2016Review
- Pulse Oximeter Plethysmograph Estimate of Pulsus Paradoxus as a Measure of Acute Asthma Exacerbation Severity and Response to Treatment.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2016Observational
- Acute Asthma Intensity Research Score: updated performance characteristics for prediction of hospitalization and lung function.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2015Article
- Admission predictability of children with acute asthma.Annals of thoracic medicineArticle
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
backgroundClinicians have difficulty predicting need for hospitalization of children with acute asthma exacerbations.
objectiveThe objective of this study was to develop and internally validate a multivariable asthma prediction rule (APR) to inform hospitalization decision making in children aged 5-17 years with acute asthma exacerbations.
methodsBetween April 2008 and February 2013 we enrolled a prospective cohort of patients aged 5-17 years with asthma who presented to our pediatric emergency department with acute exacerbations. Predictors for APR modeling included 15 demographic characteristics, asthma chronic control measures, and pulmonary examination findings in participants at the time of triage and before treatment. The primary outcome variable for APR modeling was need for hospitalization (length of stay >24 h for those admitted to hospital or relapse for those discharged). A secondary outcome was the hospitalization decision of the clinical team. We used penalized maximum likelihood multiple logistic regression modeling to examine the adjusted association of each predictor variable with the outcome. Backward step-down variable selection techniques were used to yield reduced-form models.
resultsData from 928 of 933 participants were used for prediction rule modeling, with median [interquartile range] age 8.8 [6.9, 11.2] years, 61% male, and 59% African-American race. Both full (penalized) and reduced-form models for each outcome calibrated well, with bootstrap-corrected c-indices of 0.74 and 0.73 for need for hospitalization and 0.81 in each case for hospitalization decision.
conclusionThe APR predicts the need for hospitalization of children with acute asthma exacerbations using predictor variables available at the time of presentation to an emergency department.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.