Comparison of Regression Equations For Predicted Values of Pulmonary Function Parameters In North Indian Subjects.
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Date
2014-07
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Abstract
Pulmonary function parameters are the most important and widely used exploratory tool in respiratory
disorders. Most of the studies on these parameters describe lung capacities and flow rates in terms of
absolute values. There are various equations to derive the predicted values of these parameters. Most of
these equations are framed for Caucasian, American or Africans, but are frequently used in Indian subjects.
There are very few equations for Indian subjects, which are also region specific. Hence, the present study
was undertaken to compare the various regression equations for calculating predicted parameters in North
Indian subjects. We used eight regression equations which are frequently used for calculating predicted
values. The data of 75 Indian healthy subjects was used in these equations for comparison. The regression
equations provided predicted value of pulmonary function parameters which varied markedly (0.24-123%)
based on type of regression formula used. The closet seems to be Chatterjee and Vijayan equation. The
anthropometric variable used in these equations can have a lot of bearing on the predicted values. However,
based on literature and our experience of using eight regression equations, we found that none of these is
perfectly suited for North Indian subjects.
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Keywords
Regression Equation, Predicted Pulmonary Function, North Indian
Citation
Lata Hem, Purohit Ritu. Comparison of Regression Equations For Predicted Values of Pulmonary Function Parameters In North Indian Subjects. JK Science Journal of Medical Education and Research. 2014 Jul-Sept; 16(3): 114-118.