Fernandes Lalita, Mesquita Anthony Menezes, Vadala Rohit, Dias Amit
Professor, Department of Pulmonary Medicine, Goa Medical College , Goa, India .
Professor and HOD, Department of Pulmonary Medicine, Goa Medical College , Goa, India .
J Clin Diagn Res. 2016 May;10(5):CC01-4. doi: 10.7860/JCDR/2016/17643.7714. Epub 2016 May 1.
The Six Minute Walk Test (6MWT) is used to assess disease progression and survival in chronic cardiopulmonary disorders. However, variability is noted in the six minute walk test distance (6MWD) in different populations.
We aimed to develop a reference equation for 6MWD in healthy Western India population and compare the results with previously published Indian and Caucasian reference equations.
Total 174 healthy subjects between 25 to 75 years performed the 6MWT. Variables assessed were age, height, weight, body mass index and sex. Predicted equations were derived using multiple linear regression and compared with the equations for North Indian male, South Indian and Caucasian population using Bland - Altman method.
The 6MWD mean (SD) was 512.38 (67.84) m for men and 457.27 (56.75) m for women with p=0.001. The 6MWD correlated with age (r=-0.44), height (r=0.43), weight (r=0.21) in univariate analysis. Stepwise multiple regression analysis showed age and sex to be independent predictors of 6MWD, R(2) =0.307. The reference equation for healthy Western India population is 553.289 + (-2.11 x age) + (45.323 x sex; men=1 and women =0). Bland Altman analysis showed that the mean bias was 50.87m (95% limits of agreement 134.77 to - 33.0) for North Indian male equation, 50.75m (95% limits of agreement 105.72 to - 4.22) for South Indian equation and 122.72m (95%limits of agreement 254.11 to - 8.67) for Enright and Sherrill's equation.
The North Indian male, South Indian and Caucasian equations significantly over-estimated the predicted walk distance for our healthy population. Hence, there is a need to develop subgroup population specific reference equations.
六分钟步行试验（6MWT）用于评估慢性心肺疾病的疾病进展和生存率。然而，不同人群的六分钟步行试验距离（6MWD）存在差异。
我们旨在为印度西部健康人群建立6MWD的参考方程，并将结果与先前发表的印度和白种人参考方程进行比较。
共有174名年龄在25至75岁之间的健康受试者进行了6MWT。评估的变量包括年龄、身高、体重、体重指数和性别。使用多元线性回归得出预测方程，并使用Bland - Altman方法与北印度男性、南印度和白种人人群的方程进行比较。
男性的6MWD平均值（标准差）为512.38（67.84）米，女性为457.27（56.75）米，p = 0.001。单因素分析中，6MWD与年龄（r = -0.44）、身高（r = 0.43）、体重（r = 0.21）相关。逐步多元回归分析显示年龄和性别是6MWD的独立预测因素，R(2) = 0.307。印度西部健康人群的参考方程为553.289 + (-2.11×年龄) + (45.323×性别；男性 = 1，女性 = 0)。Bland Altman分析显示，北印度男性方程的平均偏差为50.87米（95%一致性界限为134.77至 - 33.0），南印度方程为50.75米（95%一致性界限为105.72至 - 4.22），Enright和Sherrill方程为122.72米（95%一致性界限为254.11至 - 8.67）。
北印度男性、南印度和白种人的方程显著高估了我们健康人群的预测步行距离。因此，需要建立针对亚组人群的特定参考方程。
