Baseline health status and setting impacted minimal clinically important differences in COPD: an exploratory study.
COPD Assessment Test (CAT)
Chronic obstructive pulmonary disease (COPD)
Clinical COPD Questionnaire (CCQ)
Health status
Minimal clinically important difference (MCID)
St. George's Respiratory Questionnaire (SGRQ)
Journal
Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383
Informations de publication
Date de publication:
12 2019
12 2019
Historique:
received:
08
12
2018
revised:
09
06
2019
accepted:
23
07
2019
pubmed:
31
7
2019
medline:
22
5
2020
entrez:
31
7
2019
Statut:
ppublish
Résumé
Minimal clinically important differences (MCIDs) are used as fixed numbers in the interpretation of clinical trials. Little is known about its dynamics. This study aims to explore the impact of baseline score, study setting, and patient characteristics on health status MCIDs in chronic obstructive pulmonary disease (COPD). Baseline and follow-up data on the COPD Assessment Test (CAT), Clinical COPD Questionnaire (CCQ), and St. George's Respiratory Questionnaire (SGRQ) were retrospectively analyzed from pulmonary rehabilitation (PR) and routine clinical practice (RCP). Anchor- and distribution-based MCID estimates were calculated and tested between settings, gender, age, Global initiative for Obstructive Lung Disease (GOLD) classification, comorbidities, and baseline health status. In total, 658 patients were included with 2,299 change score measurements. MCID estimates for improvement and deterioration ranged for all subgroups 0.50-6.30 (CAT), 0.10-0.84 (CCQ), and 0.33-12.86 (SGRQ). Larger MCID estimates for improvement and smaller ones for deterioration were noted in patients with worse baseline health status, females, elderly, GOLD I/II patients, and patients with less comorbidities. Estimates from PR were larger. Baseline health status and setting affected MCID estimates of COPD health status questionnaires. Patterns were observed for gender, age, spirometry classification, and comorbidity levels. These outcomes would advocate the need for tailored MCIDs.
Identifiants
pubmed: 31362055
pii: S0895-4356(18)30992-2
doi: 10.1016/j.jclinepi.2019.07.015
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
49-61Informations de copyright
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.