Frédéric Dallaire1, Nagib Dahdah. 1. Division of Pediatric Cardiology, Laval University Hospital Centre, Faculty of Medicine, Laval University, Quebec, Quebec, Canada.
Abstract
BACKGROUND: The aim of this study was to find the best model to obtain valid and normally distributed Z scores for coronary artery (CA) diameters in a large, heterogeneous population of healthy children. METHODS: Echocardiography was performed on 1,033 healthy children. Several regression models were tested with height, weight, body surface area, and aortic valve diameter. The computed Z scores were tested for normal distribution and stability. RESULTS: CA diameter was best predicted using regression with the square root of body surface area. The weighted least squares method yielded normally distributed and very stable Z-score estimates for all CA segments. In prepubertal children, aortic valve diameter was also a valid predictor of CA diameter. CONCLUSIONS: This study shows two valid methods to estimate Z scores for CA size in children of all ages. Such Z scores are important for risk stratification in patients with Kawasaki disease.
BACKGROUND: The aim of this study was to find the best model to obtain valid and normally distributed Z scores for coronary artery (CA) diameters in a large, heterogeneous population of healthy children. METHODS: Echocardiography was performed on 1,033 healthy children. Several regression models were tested with height, weight, body surface area, and aortic valve diameter. The computed Z scores were tested for normal distribution and stability. RESULTS: CA diameter was best predicted using regression with the square root of body surface area. The weighted least squares method yielded normally distributed and very stable Z-score estimates for all CA segments. In prepubertal children, aortic valve diameter was also a valid predictor of CA diameter. CONCLUSIONS: This study shows two valid methods to estimate Z scores for CA size in children of all ages. Such Z scores are important for risk stratification in patients with Kawasaki disease.
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