E-ISSN 2231-3206 | ISSN 2320-4672

2016, Vol:6,Issue:3

Research Articles
  • Natl J Physiol Pharm Pharmacol.2016; Volume:6(3):200-204 doi : 10.5455/njppp.2016.6.05012016110
  • Prediction models for Peak Expiratory Flow Rate in Indian population aged 18-25 years
  • Prakash Kumar Nayak , Sudeep Satpathy , Magna Manjareeka , Priyadarsini Samanta , Jayanti Mishra , Bipin Bihari Pradhan

Abstract

Background:Theroleofpeakexpiratoryflow rate (PEFR) has been emphasized both in diagnosis and management of patients withasthma.Aimsand
Objective:Thepresentstudywas undertakentoderivetheprediction formulaetodeterminethePEFR in normal, young, healthy, nonsmoking Indian population in the age group of 18–25 years.
Materials and Methods: Computerized spirometry was done in 298 nonsmokingfirst-year medical students of both genders. All the data were statistically analyzed and prediction equations for the young Indian population were derived.
Results: PEFR showed significant gender difference. Both heightandweightshowedpositivecorrelationwithPEFRinmales.Infemales,heightwaspositivelycorrelatedwithPEFR,butage showed negative correlation. We formulated univariate and multivariate regression models for prediction of PEFR in the young Indianadults.ThematchedvalueforPEFRwasfoundtobehigherby6%–9%inmalesand2%–25%infemales,incomparisonto previous Indian studies. In males, the predicted PEFR was higher (26%) than Pakistani study group, but lower (1%–8%) than IranianandCaucasianpopulation.ThevaluewasalmostsimilartoAfrican-Americanpopulation.Infemales,thematchedvaluewas foundtobehigher(5%–28%)thanCaucasian,African-American,andPakistanipopulationstudies,butlowerby28%comparedto Iranianstudy.Conclusion:ThecomputedregressionnormsmaybeusedtopredictthePEFRinyoungIndianpopulationofsimilar age group as the study population.