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ID 34829
file
creator
Mukaida, Kenichi
Hattori, Noboru
Kondo, Keiichi
Morita, Naoki
Murakami, Isao
Haruta, Yoshihiro
Yokoyama, Akihito
subject
Bakumondoto
Multiherb Kampo medicine
Pilot study
Cough
Chronic obstructive pulmonary disease (COPD)
NDC
Medical sciences
abstract
Objectives: To evaluate the effect of bakumondoto. Kampo medicine, on cough in patients with chronic obstructive pulmonary disease (COPD).
Design: A 16-week, randomized, open-labeled, cross-over design.
Setting: Outpatient clinics at one university hospital and two general hospitals in Japan from May 2007 to March 2009.
Participants: Twenty-four elderly patients (14 men and 9 women aged over 65) with COPD.
Intervention: Treatment with or without bakumondoto for 8 weeks in a cross-over design.
Measurements: The primary outcome measurements were the frequency and intensity of cough assessed by a visual analogue scale (VAS) and a daily cough diary. Secondary outcome measurements were quality of life (QOL) assessed using St. George's Respiratory Questionnaire (SGRQ) and lung functions measured using spirometry.
Results: Treatment with bakumondoto significantly improved cough severity during the first treatment period (week 0 vs. week 8, p = 0.004) and showed a trend to decrease during the second treatment period (week 8 vs. week16, p=0.129) assessed by the VAS. Neither QOL nor lung function was affected by the treatment with bakumondoto.
Conclusion: Bakumondoto may be effective in suppressing cough in elderly patients with COPD. To further confirm the efficacy, a larger and placebo-controlled study with objective cough assessment is necessary.
journal title
Phytomedicine
volume
Volume 18
issue
Issue 8-9
start page
625
end page
629
date of issued
2011
publisher
Elsevier GmbH - Urban & Fischer Verlag
issn
0944-7113
ncid
publisher doi
language
eng
nii type
Journal Article
HU type
Journal Articles
DCMI type
text
format
application/pdf
text version
author
rights
(c) 2010 Elsevier GmbH. All rights reserved.
relation url
department
Graduate School of Biomedical Science