Predicting Hypertension Among Children With Incident Elevated Blood Pressure
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Updated: Mar 6, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
Matthew F Daley1, Liza M Reifler2, Eric S Johnson3
1Institute for Health Research, Kaiser Permanente Colorado, Denver, Colo; Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colo.
Insights
A new hypertension risk model for children with elevated blood pressure showed good internal accuracy but poor external validity, limiting its use in different healthcare settings.
Area of Science:
- Pediatric Cardiology
- Preventive Medicine
- Biostatistics
Background:
- Elevated blood pressure (BP) in children is a growing concern.
- Predicting hypertension risk is crucial for early intervention.
- Existing models may lack external validation.
Purpose of the Study:
- To develop a predictive model for hypertension risk in children with incident elevated BP.
- To assess the external validity and transportability of this risk model.
Main Methods:
- Retrospective cohort study across three healthcare organizations (2006-2012).
- Identified children aged 3-17 with incident elevated BP.
- Used Cox proportional hazards regression with demographic and clinical predictors.
Main Results:
- The model demonstrated good internal discrimination (c-statistic=0.77) at the derivation site.
- Eight characteristics predicted hypertension risk: age, sex, race, prior BP, BMI percentile, BP percentiles, and clinical setting.
- External validation showed poorer discrimination (c-statistic 0.64-0.67) with higher observed than predicted risk.
Conclusions:
- The developed risk model has good internal validity for predicting hypertension in children with elevated BP.
- The model's poor performance at external sites suggests limited transportability to other settings.
- Further research is needed to improve the generalizability of pediatric hypertension risk prediction models.
Objective:
To develop a model to predict hypertension risk among children with incident elevated blood pressure (BP); to test the external validity of the model.
Methods:
A retrospective cohort study was conducted in 3 organizations: Kaiser Permanente Colorado was the model derivation site; HealthPartners of Minnesota and Kaiser Permanente Northern California served as external validation sites. During study years 2006 through 2012, all children aged 3 through 17 years with incident elevated BP in an outpatient setting were identified. The predictor variables were demographic and clinical characteristics collected during routine care. Cox proportional hazards regression was used to predict subsequent hypertension, and diagnostic statistics were used to assess model performance.
Results:
Among 5598 subjects at the derivation site with incident elevated BP, 160 (2.9%) developed hypertension during the study period. Eight characteristics were used to predict hypertension risk: age, sex, race, BP preceding incident elevated BP, body mass index percentile, systolic BP percentile, diastolic BP percentile, and clinical setting of the incident elevated BP. At the derivation site, the model discriminated well between those at higher versus lower risk of hypertension (c-statistic = 0.77). At external validation sites, the observed risk of hypertension was higher than the predicted risk, and the model showed poor discrimination (c-statistic ranged from 0.64 to 0.67).
Conclusions:
Among children with incident elevated BP, a risk model demonstrated good internal validity with respect to predicting subsequent hypertension. However, the risk model did not perform well at 2 external validation sites, which might limit transportability to other settings.
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