Bias Related to Body Mass Index in Pediatric Echocardiographic Z Scores

被引:35
作者
Dallaire, Frederic [1 ,2 ]
Bigras, Jean-Luc [3 ]
Prsa, Milan [4 ]
Dahdah, Nagib [3 ]
机构
[1] Univ Sherbrooke, Fac Med, Dept Pediat, Div Pediat Cardiol, Sherbrooke, PQ J1H 5N4, Canada
[2] CHUS, Ctr Rech, Sherbrooke, PQ, Canada
[3] Univ Montreal, St Justine Univ Hosp Ctr, Div Pediat Cardiol, Montreal, PQ, Canada
[4] Univ Lausanne Hosp, Div Pediat Cardiol, Dept Pediat, Lausanne, Switzerland
关键词
Echocardiography; Epidemiology; Pediatric; Nomograms; LEFT-VENTRICULAR MASS; AREA IF HEIGHT; SURFACE-AREA; REFERENCE VALUES; LMS METHOD; CHILDREN; SIZE; FORMULA; WEIGHT; HYPERTROPHY;
D O I
10.1007/s00246-014-1063-7
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
In pediatric echocardiography, cardiac dimensions are often normalized for weight, height, or body surface area (BSA). The combined influence of height and weight on cardiac size is complex and likely varies with age. We hypothesized that increasing weight for height, as represented by body mass index (BMI) adjusted for age, is poorly accounted for in Z scores normalized for weight, height, or BSA. We aimed to evaluate whether a bias related to BMI was introduced when proximal aorta diameter Z scores are derived from bivariate models (only one normalizing variable), and whether such a bias was reduced when multivariable models are used. We analyzed 1,422 echocardiograms read as normal in children a parts per thousand currency sign18 years. We computed Z scores of the proximal aorta using allometric, polynomial, and multivariable models with four body size variables. We then assessed the level of residual association of Z scores and BMI adjusted for age and sex. In children a parts per thousand yen6 years, we found a significant residual linear association with BMI-for-age and Z scores for most regression models. Only a multivariable model including weight and height as independent predictors produced a Z score free of linear association with BMI. We concluded that a bias related to BMI was present in Z scores of proximal aorta diameter when normalization was done using bivariate models, regardless of the regression model or the normalizing variable. The use of multivariable models with weight and height as independent predictors should be explored to reduce this potential pitfall when pediatric echocardiography reference values are evaluated.
引用
收藏
页码:667 / 676
页数:10
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