Pediatric Heart Network (PHN) and Carelon Research researchers develop ‘Z Score’ calculator for assessment of pediatric cardiovascular diseases Varying scoring systems used for measuring pediatric heart development make it difficult to evaluate and treat children with genetic and acquired heart diseases. A Z-score by PHN and Carelon Research (formerly HealthCore) can help set the average straight and help clinicians understand the effects of factors such as age, sex, race, and ethnicity on heart measurements. Enterprise Analytics Core domain(s): Quality of care Summary The ability to measure the heart is crucial for evaluating and treating children with genetic and acquired heart diseases. Clinicians use the Z-score, a scoring system for measuring pediatric heart development, to determine how far above or below the cardiac structure is from the mean, or “average.” The existence of a wide range of Z-scores for a single measurement has made it difficult for clinicians to determine a consistent or reliable average for different aspects of the heart. In addition, there is limited data on the effects of age, sex, race, and ethnicity on heart measurements. Past studies did not use a large enough sample size to adequately show how effects of age, sex, race, and ethnicity might impact echocardiographic measurements. This means that existing Z-score calculators may produce several different results for the same measurements in the same patient, making it difficult for clinicians to decide which Z-score calculator to use. The goal of this multicenter retrospective chart review study was to determine Z-scores for common measurements adjusted for body surface area (BSA) and stratified by age, sex, race, and ethnicity. Data collected from 3,566 healthy nonobese children ≤18 years of age at 19 centers with a normal echocardiogram included age, sex, race, ethnicity, height, weight, echocardiographic images, and measurements. BSA values were utilized and transformed in building the Z-score models. Raw measurements from models with and without these effects were compared, and a >5% difference was considered clinically significant to account for the effects of age, sex, race, and ethnicity. Statistical analyses showed that there were some differences in cardioechographic measurements when compared by age, sex, race, and ethnicity, but body surface area had the greatest impact on Z-scores. Lopez L, Colan S, Stylianou M, et al. Relationship of Echocardiographic Z Scores Adjusted for Body Surface Area to Age, Sex, Race, and Ethnicity: The Pediatric Heart Network Normal Echocardiogram Database. Circ Cardiovasc Imaging. 2017;10(11):e006979. Truong D, Lopez L, Frommelt PC, et al. Challenges and lessons learned from the Pediatric Heart Network Normal Echocardiogram Database study. Cardiol Young. 2020;30(4):456-461. Lopez L, Frommelt PC, Colan SD, et al. Pediatric Heart Network Echocardiographic Z Scores: Comparison with Other Published Models J Am Soc Echocardiogr. 2021;34(2):185-192. Pediatric Heart Network Z-Score Calculator Carelon Research project team: Felicia Trachtenberg, Julie Miller This study conducted by the Pediatric Heart Network (PHN) and Carelon Research (formerly HealthCore), serving as the Data Coordinating Center for the PHN, and was funded by the National Heart, Lung, and Blood Institute (NHLBI). The PHN is a multi-center consortium of major pediatric cardiovascular academic centers in the U.S. and Toronto, Canada, which has been conducting cardiovascular disease studies in children since 2001.
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