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在减肥试验中,针对标准化体重测量结果验证电子健康记录中的临床体重数据。

Validation of clinic weights from electronic health records against standardized weight measurements in weight loss trials.

作者信息

Xiao Lan, Lv Nan, Rosas Lisa G, Au David, Ma Jun

机构信息

Research Institute, Palo Alto Medical Foundation, Palo Alto, California, USA.

Department of Medicine, School of Medicine, Stanford University, Stanford, California, USA.

出版信息

Obesity (Silver Spring). 2017 Feb;25(2):363-369. doi: 10.1002/oby.21737. Epub 2017 Jan 6.

Abstract

OBJECTIVE

To validate clinic weights in electronic health records against researcher-measured weights for outcome assessment in weight loss trials.

METHODS

Clinic and researcher-measured weights from a published trial (BE WELL) were compared using Lin's concordance correlation coefficient, Bland and Altman's limits of agreement, and polynomial regression model. Changes in clinic and researcher-measured weights in BE WELL and another trial, E-LITE, were analyzed using growth curve modeling.

RESULTS

Among BE WELL (n = 330) and E-LITE (n = 241) participants, 96% and 90% had clinic weights (mean [SD] of 5.8 [6.1] and 3.7 [3.9] records) over 12 and 15 months of follow-up, respectively. The concordance correlation coefficient was 0.99, and limits of agreement plots showed no pattern between or within treatment groups, suggesting overall good agreement between researcher-measured and nearest-in-time clinic weights up to 3 months. The 95% confidence intervals for predicted percent differences fell within ±3% for clinic weights within 3 months of the researcher-measured weights. Furthermore, the growth curve slopes for clinic and researcher-measured weights by treatment group did not differ significantly, suggesting similar inferences about treatment effects over time, in both trials.

CONCLUSIONS

Compared with researcher-measured weights, close-in-time clinic weights showed high agreement and inference validity. Clinic weights could be a valid pragmatic outcome measure in weight loss studies.

摘要

目的

在减肥试验中,针对用于结局评估的研究人员测量体重,验证电子健康记录中的诊所体重。

方法

使用林氏一致性相关系数、布兰德和奥特曼一致性界限以及多项式回归模型,对一项已发表试验(BE WELL)中的诊所体重和研究人员测量体重进行比较。使用生长曲线模型分析BE WELL和另一项试验E-LITE中诊所体重和研究人员测量体重的变化。

结果

在BE WELL(n = 330)和E-LITE(n = 241)参与者中,分别有96%和90%的人在12个月和15个月的随访中有诊所体重记录(平均[标准差]分别为5.8[6.1]和3.7[3.9]条记录)。一致性相关系数为0.99,一致性界限图显示治疗组之间或组内均无模式,表明研究人员测量的体重与最近一次诊所体重在3个月内总体一致性良好。在研究人员测量体重的3个月内,诊所体重预测百分比差异的95%置信区间落在±3%以内。此外,两个试验中按治疗组划分的诊所体重和研究人员测量体重的生长曲线斜率无显著差异,表明随着时间推移对治疗效果的推断相似。

结论

与研究人员测量的体重相比,近期诊所体重显示出高度一致性和推断有效性。诊所体重可能是减肥研究中一种有效的实用结局指标。

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