Compare spirometry data of your Indian origin patients with validated Indian prediction equations. Obtain predicted mean and predicted lower limit of normal (LLN) for your patient, or additional percentage predicted values as per your choice.
Did you know? According to a recent study (Int J Tuberc Lung Dis, 2018;22(3):342-8), using NHANES or GLI equations in Indian origin patients may over-diagnose respiratory diseases and wrongly classify ventilatory patterns in up to one out of three patients.
INSpiro was programmed and designed by Dr. Nipun Malhotra. The purpose of the application is to provide an easily accessible tool to physicians in India and elsewhere, to compare spirometry (lung function values) of respiratory patients of Indian (Asian-Indian) origin. The app is based on prediction equations previosly developed and validated by Chhabra S.K., et al (Indian J Chest Dis Allied Sci 2014;56:221-9 (ages 18 and above), and Ind Pediatr 2016;53:781-5 (ages 6 to 17)). Major international respiratory guidelines recommend using validated prediction equations for local populations. These equations form a part of recommendations regarding lung function testing, by the two premier respiratory societies in India (NCCP and ICS). More about the utility of these equations, compared against NHANES and GLI can be found at Int J Tuberc Lung Dis, 2018;22(3):342-8.