Patel Hiren P, Saland Jeffrey M, Ng Derek K, Jiang Shuai, Warady Bradley A, Furth Susan L, Flynn Joseph T
Department of Pediatrics, Ohio State University College of Medicine and Nationwide Children's Hospital, Columbus, OH.
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY.
J Pediatr. 2017 Dec;191:133-139. doi: 10.1016/j.jpeds.2017.08.047.
To describe the prevalence of obesity as estimated by waist circumference (WC) and body mass index (BMI) and compare associations of WC and BMI with indicators of metabolic, cardiovascular, and renal health in children with chronic kidney disease (CKD).
Cross-sectional analysis stratified by CKD etiology (nonglomerular or glomerular) of 737 subjects. The kappa statistic was used to assess agreement between the 2 measures of obesity. Linear regression models were performed using WC and BMI as separate independent variables. Dependent variables included lipid measures, insulin resistance, blood pressure, left ventricular mass index, proteinuria, and estimated glomerular filtration rate. Associations were scaled to SD and interpreted as the change in dependent variable associated with a 1-SD change in WC or BMI.
There was good agreement (kappa statistic = 0.68) between WC and BMI in identifying obesity. Approximately 10% of subjects had obesity by 1 measure but not the other. BMI was more strongly associated with estimated glomerular filtration rate than WC. BMI was more strongly associated with left ventricular mass index in the nonglomerular CKD group compared with WC, but both had significant associations. The associations between WC and BMI with the remainder of the dependent variables were not significantly different.
Measurement of WC added limited information to BMI in this cohort. Further longitudinal study is needed to determine how WC and BMI compare in predicting outcomes, particularly for children with CKD identified as having obesity by 1 measure but not the other.
描述通过腰围(WC)和体重指数(BMI)估算的肥胖患病率,并比较WC和BMI与慢性肾脏病(CKD)患儿代谢、心血管和肾脏健康指标之间的关联。
对737名受试者按CKD病因(非肾小球性或肾小球性)进行分层的横断面分析。kappa统计量用于评估两种肥胖测量方法之间的一致性。使用WC和BMI作为单独的自变量进行线性回归模型分析。因变量包括血脂指标、胰岛素抵抗、血压、左心室质量指数、蛋白尿和估计肾小球滤过率。关联度按标准差进行标度,并解释为与WC或BMI的1个标准差变化相关的因变量变化。
WC和BMI在识别肥胖方面具有良好的一致性(kappa统计量 = 0.68)。约10%的受试者通过一种测量方法被判定为肥胖,但另一种方法未判定为肥胖。BMI与估计肾小球滤过率的关联比WC更强。在非肾小球性CKD组中,BMI与左心室质量指数的关联比WC更强,但两者均具有显著关联。WC和BMI与其余因变量之间的关联无显著差异。
在该队列中,WC测量为BMI增添的信息有限。需要进一步进行纵向研究,以确定WC和BMI在预测结局方面的比较情况,特别是对于通过一种测量方法被判定为肥胖但另一种方法未判定为肥胖的CKD患儿。