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Hong, Lee, Han, Kim, Lee, Kim, Kim, Ha, Chon, and Yoo: Annual Change of Peak Expiratory Flow Rate in Asthma and COPD
Original Article
Tuberculosis and Respiratory Diseases

Tuberculosis and Respiratory Diseases 2012; 72(1): 24-29.

Published online: 30 January 2012

DOI: https://doi.org/10.4046/trd.2012.72.1.24

Annual Change of Peak Expiratory Flow Rate in Asthma and COPD

Sung Chul Hong, M.D.1, ChoI Lee, M.D.1, Jang Soo Han, M.D.1, Won Dong Kim, M.D.1, Kye Young Lee, M.D., Ph.D.1, Sun Jong Kim, M.D.1, Hee Joung Kim, M.D.1, Kyoung-Won Ha, M.D.2, Gyu Rak Chon, M.D.2, Kwang Ha Yoo, M.D.1

1Department of Internal Medicine, Konkuk University School of Medicine, Seoul, Korea.

2Department of Internal Medicine, Konkuk University Chungju Hospital, Konkuk University School of Medicine, Chungju, Korea.

Address for correspondence: Kwang Ha Yoo, M.D. Division of Pulmonology, Konkuk University Medical Center, 4-12, Hwayang-dong, Gwangjin-gu, Seoul 143-701, Korea. Phone: 82-2-2030-5060, Fax: 82-2-2030-7458, khyou@kuh.ac.kr

Received 4 July 2011       Revised 19 July 2011       Accepted 26 October 2011

Copyright © 2012. The Korean Academy of Tuberculosis and Respiratory Diseases. All rights reserved.

Abstract

Background

Measurement of peak expiratory flow rate (PEFR) in a follow-up examination for a chronic airway disease is useful because it has the advantages of being a simple measurement and can be repeated during examination. The aim of this study was to examine the annual decrease of PEFR in asthma and chronic obstructive pulmonary disease (COPD) patients and to confirm the factors which influence this decrease.

Methods

From May, 2003 to September, 2010, the annual decrease of PEFR was obtained from asthma and COPD patients attending an outpatient pulmonary clinic. PEFR was measured using a Mini-Wright peak flow meter (Clement Clarke International Ltd. UK), and we conducted an analysis of factors that influence the change of PEFR and its average values.

Results

The results showed an annual decrease of 1.70±12.86 L/min the asthmatic patients and an annual decrease of 10.3±7.32 L/min in the COPD patients. Age and FEV1 were the predictive factors influencing change in asthma, and FEV1 and smoking were the predictive factors influencing change in COPD.

Conclusion

We confirmed the annual decreasing PEFR in patients with chronic airway disease and identified factors that work in conjunction with FEV1 to influence the change.

Keywords: Forced Expiratory Volume, Pulmonary Disease, Chronic Obstructive, Asthma, Peak Expiratory Flow Rate

Figures and Tables

Figure 1
Average of PEFR and linear regression analysis of PEFR. COPD: chronic obstructive pulmonary disease; PEER: peak expiratory flow rate.
trd-72-24-g001
Table 1
Base line characteristics of study subjects
trd-72-24-i001

*Data are presented as mean±SD.

COPD: chronic obstructive pulmonary disease; FEV1: forced expiratory volume in one second; PEFR: peak expiratory flow rate; py: pack year; SD: standard deviation.

Table 2
Multiple coefficient correlation in asthma and COPD
trd-72-24-i002

COPD: chronic obstructive pulmonary disease; FEV1: forced expiratory volume in one second.

Table 3
Factors that have an effect on change of peak expiratory flow rate in asthma by linear mixed model
trd-72-24-i003

FEV1: forced expiratory volume in one second.

Table 4
Factors that have an effect on change in peak expiratory flow rate in chronic obstructive pulmonary disease by linear mixed model
trd-72-24-i004

FEV1: forced expiratory volume in one second.

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