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Childhood prediction models for hypertension later in life: a systematic review
Marleen Hamoen1, Marlou L A de Kroon1,2, Marieke Welten3
1Department of Public Health, Erasmus University Medical Center, Rotterdam.
Insights
Childhood prediction models for hypertension exist but require further validation. These models aim to identify at-risk children for early cardiovascular disease prevention, but their clinical utility is currently limited due to methodological issues and lack of external validation.
Area of Science:
- Pediatric Cardiology
- Preventive Medicine
- Biostatistics
Background:
- Childhood hypertension is a risk factor for atherosclerosis and cardiovascular disease.
- Early intervention and prevention strategies are crucial for lifelong cardiovascular health.
- Prediction models can identify children at high risk for hypertension, enabling targeted primordial prevention.
Purpose of the Study:
- To systematically review and summarize existing prediction models for hypertension in children.
- To assess the development and validation status of these childhood prediction models.
Main Methods:
- Systematic literature search of Embase and Medline databases.
- Inclusion of studies on multivariable models for predicting future high blood pressure, prehypertension, or hypertension in children.
- Data extraction using the CHARMS checklist for prediction modeling studies.
Main Results:
- Six studies presented 18 models, predicting either adulthood hypertension or adolescent prehypertension/hypertension.
- Body Mass Index (BMI) and current blood pressure were common predictors.
- Significant heterogeneity in prediction timing and outcome measurement, with missing methodological details and insufficient data for application in 4 studies. Reported areas under the ROC curve ranged from 0.51 to 0.74.
Conclusions:
- Childhood hypertension prediction models have been identified.
- Clinical utility is limited by suboptimal methodology, inadequate performance data, and lack of external validation.
- Further validation studies are essential to confirm the generalizability and reliability of these models.
Background:
Hypertension, even during childhood, increases the risk of developing atherosclerosis and cardiovascular disease. Therefore, starting prevention of hypertension early in the life course could be beneficial. Prediction models might be useful for identifying children at increased risk of developing hypertension, which may enable targeted primordial prevention of cardiovascular disease.
Objective:
To provide an overview of childhood prediction models for future hypertension.
Methods:
Embase and Medline were systematically searched. Studies were included that were performed in the general population, and that reported on development or validation of a multivariable model for children to predict future high blood pressure, prehypertension or hypertension. Data were extracted using the CHARMS checklist for prediction modelling studies.
Results:
Out of 12 780 reviewed records, six studies were included in which 18 models were presented. Five studies predicted adulthood hypertension, and one predicted adolescent prehypertension/hypertension. BMI and current blood pressure were most commonly included as predictors in the final models. Considerable heterogeneity existed in timing of prediction (from early childhood to late adolescence) and outcome measurement. Important methodological information was often missing, and in four studies information to apply the model in new individuals was insufficient. Reported area under the ROC curves ranged from 0.51 to 0.74. As none of the models were validated, generalizability could not be confirmed.
Conclusion:
Several childhood prediction models for future hypertension were identified, but their value for practice remains unclear because of suboptimal methods, limited information on performance, or the lack of external validation. Further validation studies are indicated.
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