Peak Expiratory Flow Rate In Healthy Rural School Going Children (5-16 Years) of Bellur Region For Construction of Nomogram

• Main Authors: Manjunath CB, Kotinatot SC, Manjunatha Babu
• Format: Article
• Language: English
• Published: JCDR Research and Publications Private Limited 2013-12-01
• Series: Journal of Clinical and Diagnostic Research
• Subjects: pefr; height; children; regional references
• Online Access: https://jcdr.net/articles/PDF/3773/52-%207758_F(DK)_PF1(VP)_PFA(NC).indd_U(P).pdf

Background: Peak Expiratory Flow Rate (PEFR) recording is an essential measure in the management and evaluation of asthmatic children.It is helpful in monitoring disease progression and response to treatment. The PEFR can be measured by a simple instrument—peak expiratory flow meter. Aims and Objectives: To construct nomogram of PEFR in healthy rural school going children from Mandya district of Karnataka state, India and to use these nomograms for comparison with that of children with obstructive lung diseases for this region. Material and Methods: The study was conducted on Healthy rural school going children, both boys and girls between the age group of 5-16 years. For the determination of PEFR we used Mini Wright Peak Flow Meter. At three time measurement, the highest value of PEFR was recorded. Formula for prediction of PEFR was estimated by linear regression analysis after the correlation of PEFR with age and height for both boys and girls. Results: PEFR was measured in 1028 children aged 5 to 16 years by using Wright’s mini peak flow meter. Prediction equations were derived for PEFR with height in boys and girls. Normograms were plotted based on the observed values of PEFR in the study population. Significant linear correlation was seen of PEFR with height in boys (p<0.001, r=0.7624) and in girls (p<0.001, r=0.8825). Prediction equation for PEFR are -317.43 + 4.40 x height (cm) in boys and – 321.21 + 4.25 x height (cm) in girls. Conclusion: Reference values of PEFR are affected by regional, environmental and anthropometric factors. Hence, it is necessary to have regional reference values for children. Among different factors affecting PEFR, height correlates better with PEFR than weight and sex. Hence nomograms constructed can be used for this region.