Division of Pulmonary, Allergy, and Critical Care Medicine, Duke Global Health Institute, Duke University, Durham, North Carolina, USA, Academic Model Providing Access to Healthcare (AMPATH), Eldoret.
Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Department of Medicine, Moi University College of Health Sciences, Eldoret, Kenya.
Int J Tuberc Lung Dis. 2018 Jan 1;22(1):112-118. doi: 10.5588/ijtld.17.0005.
Community of Eldoret, Kenya.
To test the performance of three commonly used spirometry prediction equations in a healthy Kenyan population.
Cross-sectional assessment of healthy adults in Eldoret.
Of the 331 subjects enrolled in the study, 282 subjects aged 18-85 years (45% males, 55% females) produced high-quality spirograms. Lung function predictions were made using the Global Lung Initiative 2012 (GLI 2012) prediction equations for African Americans, the National Health and Nutrition Examination Survey III (NHANES III) prediction equations for African Americans, and the Crapo prediction equation. Bland-Altman analyses were performed to measure the agreement between observed and predicted spirometry parameters. Overall, the GLI 2012 and NHANES equations for African Americans performed similarly for forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1), significantly overestimating FVC while accurately predicting observed FEV1 values.
The study brings into question the utility of three major spirometry prediction equations in a Kenyan population. The significant overestimation of FVC by the best-performing equations despite accurate prediction of FEV1 suggests poor performance of these equations in our population.
肯尼亚埃尔多雷特社区。
在肯尼亚健康人群中测试三种常用肺量计预测方程的性能。
埃尔多雷特健康成年人的横断面评估。
在这项研究中，331 名受试者中，282 名年龄在 18-85 岁的受试者（45%为男性，55%为女性）生成了高质量的肺活量图。使用全球肺倡议 2012 年（GLI 2012）预测方程、美国国家健康和营养检查调查 III （NHANES III）预测方程以及 Crapo 预测方程对肺功能进行预测。进行 Bland-Altman 分析以衡量观察到的和预测的肺量计参数之间的一致性。总体而言，GLI 2012 和 NHANES 方程对肺活量（FVC）和 1 秒用力呼气量（FEV1）的表现相似，FVC 显著高估，而准确预测了观察到的 FEV1 值。
这项研究对三种主要肺量计预测方程在肯尼亚人群中的应用提出了质疑。尽管最佳表现方程准确预测了 FEV1，但 FVC 的显著高估表明这些方程在我们人群中的表现不佳。
