Population Health Research Institute, St George's University of London, London, SW17 0RE, UK
Population, Policy, and Practice Programme, UCL Great Ormond Street Institute of Child Health, London, UK.
BMJ. 2022 Sep 21;378:e071185. doi: 10.1136/bmj-2022-071185.
To evaluate the performance of a UK based prediction model for estimating fat-free mass (and indirectly fat mass) in children and adolescents in non-UK settings.
Individual participant data meta-analysis.
19 countries.
5693 children and adolescents (49.7% boys) aged 4 to 15 years with complete data on the predictors included in the UK based model (weight, height, age, sex, and ethnicity) and on the independently assessed outcome measure (fat-free mass determined by deuterium dilution assessment).
The outcome of the UK based prediction model was natural log transformed fat-free mass (lnFFM). Predictive performance statistics of R, calibration slope, calibration-in-the-large, and root mean square error were assessed in each of the 19 countries and then pooled through random effects meta-analysis. Calibration plots were also derived for each country, including flexible calibration curves.
The model showed good predictive ability in non-UK populations of children and adolescents, providing R values of >75% in all countries and >90% in 11 of the 19 countries, and with good calibration (ie, agreement) of observed and predicted values. Root mean square error values (on fat-free mass scale) were <4 kg in 17 of the 19 settings. Pooled values (95% confidence intervals) of R, calibration slope, and calibration-in-the-large were 88.7% (85.9% to 91.4%), 0.98 (0.97 to 1.00), and 0.01 (-0.02 to 0.04), respectively. Heterogeneity was evident in the R and calibration-in-the-large values across settings, but not in the calibration slope. Model performance did not vary markedly between boys and girls, age, ethnicity, and national income groups. To further improve the accuracy of the predictions, the model equation was recalibrated for the intercept in each setting so that country specific equations are available for future use.
The UK based prediction model, which is based on readily available measures, provides predictions of childhood fat-free mass, and hence fat mass, in a range of non-UK settings that explain a large proportion of the variability in observed fat-free mass, and exhibit good calibration performance, especially after recalibration of the intercept for each population. The model demonstrates good generalisability in both low-middle income and high income populations of healthy children and adolescents aged 4-15 years.
评估一个英国预测模型在非英国环境中估算儿童和青少年去脂体重(间接估算脂肪量)的性能。
个体参与者数据荟萃分析。
19 个国家。
5693 名儿童和青少年(49.7%为男孩),年龄 4 至 15 岁,完整数据包括英国模型中包含的预测因子(体重、身高、年龄、性别和种族)和独立评估的结果测量值(去氢稀释法评估的去脂体重)。
英国预测模型的结果是自然对数转换的去脂体重(lnFFM)。在每个国家评估 R、校准斜率、大校准和均方根误差等预测性能统计数据,然后通过随机效应荟萃分析进行汇总。还为每个国家绘制了校准图,包括灵活的校准曲线。
该模型在非英国儿童和青少年人群中具有良好的预测能力,在所有国家的 R 值均>75%,19 个国家中有 11 个国家的 R 值>90%,且具有良好的校准(即,观测值与预测值一致)。19 个设定中有 17 个的均方根误差值(在去脂体重尺度上)<4kg。汇总值(95%置信区间)的 R、校准斜率和大校准分别为 88.7%(85.9%至 91.4%)、0.98(0.97 至 1.00)和 0.01(-0.02 至 0.04)。各设定之间 R 和大校准值存在明显的异质性,但校准斜率没有。模型性能在男孩和女孩、年龄、种族和国民收入群体之间差异不大。为了进一步提高预测的准确性,该模型方程针对每个设定进行了截距重新校准,因此可以为未来使用提供特定于国家的方程。
该基于英国的预测模型基于现成的指标,可在一系列非英国环境中预测儿童的去脂体重,进而预测脂肪量,可解释观察到的去脂体重的大部分变异性,且校准性能良好,特别是在针对每个人群重新校准截距后。该模型在 4 至 15 岁健康儿童和青少年的中低收入和高收入人群中具有良好的泛化能力。