Literature DB >> 30362985

Childhood prediction models for hypertension later in life: a systematic review.

Marleen Hamoen1, Marlou L A de Kroon1,2, Marieke Welten3, Hein Raat1, Jos W R Twisk3, Martijn W Heymans3, Yvonne Vergouwe1.   

Abstract

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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Year:  2019        PMID: 30362985     DOI: 10.1097/HJH.0000000000001970

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  4 in total

1.  Patterns of Childhood Body Mass Index Percentile Gains as Predictors of Adolescent Body Mass Index, Waist Circumference, and Blood Pressure.

Authors:  Anne Bichteler; Jennifer M Barton; Julie C Lumeng; Elizabeth T Gershoff
Journal:  Acad Pediatr       Date:  2021-12-01       Impact factor: 2.993

2.  Childhood environments and their relationship with sleep and ambulatory blood pressure in college students.

Authors:  David W Holzer; Cory J Counts; Eric P Ashmore; Colin Hammock; Neha John-Henderson
Journal:  J Am Coll Health       Date:  2021-03-24

3.  Summarising and synthesising regression coefficients through systematic review and meta-analysis for improving hypertension prediction using metamodelling: protocol.

Authors:  Mohammad Ziaul Islam Chowdhury; Iffat Naeem; Hude Quan; Alexander A Leung; Khokan C Sikdar; Maeve O'Beirne; Tanvir C Turin
Journal:  BMJ Open       Date:  2020-04-09       Impact factor: 2.692

4.  Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.

Authors:  Mohammad Ziaul Islam Chowdhury; Iffat Naeem; Hude Quan; Alexander A Leung; Khokan C Sikdar; Maeve O'Beirne; Tanvir C Turin
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

  4 in total

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