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Physiology

A Curvilinear Nomogram of Peak Expiratory Flow Rate for the Young

, M.B.B.S., M.D., F.R.A.C.G.P., , MBBS., M.Pain.Med., F.R.A.C.G.P., , M.B.B.S., F.R.A.C.Gp., , MBBS., F.R.C.P., F.R.C.P.C.H., F.R.A.C.G.P. & , M.B.B.S., M.F.M., Ph.D., M.D., F.R.A.C.G.P., F.R.C.P.
Pages 39-44 | Published online: 22 Nov 2012
 

Abstract

Objective. Peak expiratory flow rates (PEFRs) differ among populations and between times. The new EU scale of the mini-Wright flow-meter has been introduced since 2004. This study updated the PEFR nomograms with the new scale for Chinese children and adolescents (aged 6–19 years) in Hong Kong. Methods. A convenience sample was recruited from 34 primary care practices (patients’ companions/children) and four schools. Standardization workshops were run for the physicians, and the proper use of the flow-meter was demonstrated to students prior to the data collection. Brand new meters were used. For each sex, the linear regression model was used to determine the relationship between PEFR and the variables of age and body height. The open-source software PyNomo was used to generate the nomograms. Results. After excluding 66 participants with past/current history of respiratory tract diseases, heart disease, incomplete data, and poor effort, PEFRs were collected from 798 males and 794 females. The PEFR had a linear relationship with age but a curvilinear relationship with height. The regression equations for predicted PEFR were ln(PEFR) = 1.810256*ln(height) + 0.038297*age – 3.734139 for males and ln(PEFR) = 1.525509*ln(height) + 0.033275*age – 2.368592 for females. The corresponding nomograms were constructed. They were tested with 230 patients in primary care; 9.6% (12 males and 10 females) had PEFR less than the predicted value by ≥20%. Conclusion. The body height was a stronger determinant than age for PEFR. The predicted PEFR with these determinants bear a curvilinear relationship.

Acknowledgments

We thank Dr. KF Lam, Associate Professor, Department of Statistics and Actuarial Science, University of Hong Kong, for his advice on the regression models. We are grateful to all the primary care doctors and the schools who took part in this survey; their contribution is invaluable.

Declaration of Interest

The research project was sponsored by the Hong Kong College of Family Physicians, Research Fellowship Award 2007. The authors otherwise report no conflict of interest.

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