Screening for familial hypercholesterolaemia in primary school children: protocol for a cross-sectional, feasibility study in Luxembourg city (EARLIE)

Becker, Marianne; Adamski, Aurélie; Fandel, Françoise; Vaillant, Michel; Wagner, Kerstin; Droste, Dirk W.; Ziade, Bechara; Hein, Steve; Mendon, Priyanka; Bocquet, Valéry; Beaufort, Carine de

doi:10.1136/bmjopen-2022-066067

Cited by 2 publications

(1 citation statement)

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“…The protocol of this cross-sectional, feasibility study was published in BMJ Open on December 9, 2022. (10) The EARLIE study aimed to assess the prevalence of familial hypercholesterolemia in primary school children in Luxembourg City between 7 and 12 years old, who were invited for their mandatory medical school examinations between 2021 and 2023. The EARLIE study serves as a relevant reference for the context and importance of real-time Z-score calculations, providing valuable insights into the application of growth monitoring and blood pressure assessments in a large-scale research setting.…”

Section: Introductionmentioning

confidence: 99%

Facilitating Comprehensive Child Health Monitoring with Real-Time Z-Score assessments using REDCap

Mendon,

Witsch,

Becker

et al. 2024

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Background Monitoring of somatic development through the assessment of anthropometric variables such as weight, height and BMI is vital for evaluating the physical development and nutritional status of children. This approach aids in the early identification of somatic developmental disorders, enabling timely medical interventions. It traditionally relies on Z-scores, which compare anthropometric variables to reference standards. In addition to somatic development monitoring, the early detection and management of pediatric and adolescent hypertension are crucial due to potential long-term health risks. However, manual calculations of Z-Scores are time-consuming and error-prone, impeding timely interventions for at-risk children. This study introduces an innovative open code solution for real-time Z-score assessments directly within the electronic data capture platform, REDCap ™ (Research Electronic Data Capture), aiming to streamline the monitoring of somatic development in children. Methods Leveraging the WHO (World Health Organization) growth standards and NHANES (National Health and Nutrition Examination Survey) references, our approach integrates Z-score computations directly into REDCap, providing a secure and user-friendly environment for healthcare professionals and researchers. The study employs Bland-Altman analyses to compare our method with established calculators (Knirps and Growth XP ™). Results Bland-Altman plots demonstrated a strong agreement between our REDCap calculations and the Knirps and Growth XP systems. Z-scores for height, weight, and BMI consistently aligned, affirming the accuracy of our approach across the measurement range. Conclusion The integration with REDCap streamlines data collection and analysis, eliminating the need for separate software and data exports. Moreover, our solution uses the World Health Organization (WHO) growth standards and National Health and Nutrition Examination Survey (NHANES) references. This not only ensures calculation accuracy but also enhances its suitability for diverse research contexts. The Bland-Altman analyses establish the reliability of our method, contributing to a more effective approach to child growth and blood pressure monitoring. Trial Registration: Not applicable since, this paper is an open code solution for real-time Z-score assessments directly within REDCap. However, the motivation to develop an open code stemmed from a project titled "Screening for Familial Hypercholesterolemia in Primary School Children: Protocol for a Cross-Sectional, Feasibility Study in Luxembourg City (EARLIE)." (Trial registration number NCT05271305)

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Section: Introductionmentioning

confidence: 99%