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Experimental Model to Evaluate Resolution of Pneumonia
Published on: February 17, 2023
Validation of Childhood Pneumonia Prognostic Models for Use in Emergency Care Settings
James W Antoon1, Hui Nian2, Krow Ampofo3
1Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Insights
Three prognostic models accurately predict pneumonia severity in children. These tools can help standardize emergency department and hospital management decisions for pediatric pneumonia cases.
Area of Science:
- Pediatric Emergency Medicine
- Clinical Prognostic Modeling
- Respiratory Illnesses
Background:
- Significant unwarranted variation exists in disposition decisions for children diagnosed with pneumonia.
- Predictive models are needed to standardize care and improve outcomes for pediatric pneumonia patients.
Purpose of the Study:
- To validate three prognostic models for predicting pneumonia severity in children presenting to the emergency department (ED) and hospital.
- To assess the predictive accuracy of these models across three clinically meaningful severity levels: Very Severe, Severe, and Moderate/Mild pneumonia.
Main Methods:
- A prospective, two-center study included 1088 children (6 months to <18 years) with pneumonia from January 2014 to May 2019.
- Three established prognostic models using demographic, clinical, and diagnostic variables were evaluated.
- Model performance was assessed using discrimination (c-statistic) and re-calibration.
Main Results:
- The models demonstrated excellent discrimination, with c-statistics ranging from 0.786 to 0.803.
- Predictive accuracy remained high, showing no significant degradation from the derivation cohort.
- The majority of children had mild or moderate pneumonia (79.1%), with severe (15.9%) and very severe (4.9%) cases also analyzed.
Conclusions:
- All three validated prognostic models accurately identified children at risk for varying levels of pneumonia severity.
- Physiologic variables were the most significant contributors to model prediction.
- Objective application of these models can standardize and enhance management and disposition decisions for pediatric pneumonia.
Background:
Unwarranted variation in disposition decisions exist among children with pneumonia. We validated three prognostic models for predicting pneumonia severity among children in the emergency department (ED) and hospital.
Methods:
We performed a two-center, prospective study of children 6 months to <18 years presenting to the ED with pneumonia from January 2014 to May 2019. We evaluated three previously developed disease-specific prognostic models which use demographic, clinical, and diagnostic predictor variables, with each model estimating risk for Very Severe (mechanical ventilation or shock), Severe (ICU without very severe features), and Moderate/Mild (Hospitalization without severe features or ED discharge) pneumonia. Predictive accuracy was measured using discrimination (concordance or c-statistic) and re-calibration.
Results:
There were 1088 children included in one or more of the three models. Median age was 3.6 years and the majority of children were male (53.7%) and identified as non-Hispanic White (63.7%). The distribution for the ordinal severity outcome was mild or moderate (79.1%), severe (15.9%), and very severe (4.9%). The three models each demonstrated excellent discrimination (C-statistic range across models [0.786-0.803]) with no appreciable degradation in predictive accuracy from the derivation cohort.
Conclusions:
All three prognostic models accurately identified risk for three clinically meaningful levels of pneumonia severity and demonstrated very good predictive performance. Physiologic variables contributed the most to model prediction. Application of these objective tools may help standardize and improve disposition and other management decisions for children with pneumonia.
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