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Predictive regression equation and nomogram of peak expiratory flow rate in healthy school going children of Kolhapur, Maharashtra, India

Authors:

Sachin Verma,

D. Y. Patil Medical College, Kolhapur, Maharashtra, IN
About Sachin
Junior Resident, Department of Paediatrics
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Suhas Kulkarni ,

D. Y. Patil Medical College, Kolhapur, Maharashtra, IN
About Suhas
Associate professor, Department of Paediatrics
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Neha Verma,

D. Y. Patil Medical College, Kolhapur, Maharashtra, IN
About Neha
Senior Resident, Department of Obstetrics and Gynaecology
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Bhuwan Kumar Singh,

D. Y. Patil Medical College, Kolhapur, Maharashtra, IN
About Bhuwan
Junior Resident, Department of Paediatrics
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Jaiprakash Jaiswal

D. Y. Patil Medical College, Kolhapur, Maharashtra, IN
About Jaiprakash
Junior Resident, Department of Paediatrics
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Abstract

Background: Peak expiratory flow rate (PEFR) estimation plays a vital role in the evaluation and management of asthmatic children.


Objectives:  To assess the correlation of PEFR with anthropometry and obtain the normal reference value for the paediatric group in Karveer Taluka, Kolhapur, Maharashtra, India.


Method: A cross-sectional study was conducted on 1200 healthy school going children aged 10-16 years. Anthropometric parameters were measured. Peak Flow Master Breathe-O-Meter was used to determine PEFR. PEFR was measured thrice for each student and the mean value noted in proforma. Correlation of PEFR with height and weight was determined by Spearman-Rank-Correlation test. A simple linear regression was derived for PEFR prediction in R software (version 3.6.1).


Results:  Mean height and weight of the boys was 140±10.8cm and 37.06±10.56kg, respectively. Overall mean PEFR of boys and girls was 362.16±89.8L/min and 351.3±79.78L/min respectively. In both boys and girls, PEFR was positively correlated with height (r=0.9104 and r=0.875 respectively) and weight (r=0.7956 and r=0.7533 respectively). A feasible regression equation and nomograms were derived to predict PEFR.


Conclusions:  The derived regression equation and nomogram can be used for PEFR prediction in 10-16 year old children with symptoms of obstructive airway disorders considering the obtained mean PEFR values as reference values for Karveer Taluka, Kolhapur, Maharashtra, India.

 

Sri Lanka Journal of Child Health, 2022; 51(1): 8-13

 

How to Cite: Verma, S., Kulkarni, S., Verma, N., Singh, B.K. and Jaiswal, J., 2022. Predictive regression equation and nomogram of peak expiratory flow rate in healthy school going children of Kolhapur, Maharashtra, India. Sri Lanka Journal of Child Health, 51(1), pp.8–13. DOI: http://doi.org/10.4038/sljch.v51i1.9987
Published on 05 Mar 2022.
Peer Reviewed

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