Journal article
Characterizing COPD Symptom Variability in the Stable State Utilizing the Evaluating Respiratory Symptoms in COPD Instrument
Chronic obstructive pulmonary diseases, Vol.9(2), pp.195-208
04/09/2022
DOI: 10.15326/jcopdf.2021.0263
PMCID: PMC9166327
PMID: 35403414
Abstract
Rationale:
It has been suggested that patients with chronic obstructive pulmonary disease (COPD) experience considerable daily respiratory symptom fluctuation. A standardized measure is needed to quantify and understand the implications of day-to-day symptom variability.
Objectives:
To compare standard deviation with other statistical measures of symptom variability and identify characteristics of individuals with higher symptom variability.
Methods:
Individuals in the SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) Exacerbations sub-study completed an Evaluating Respiratory Symptoms in COPD (E-RS) daily questionnaire. We calculated within-subject standard deviation (WS-SD) for each patient at week 0 and correlated this with measurements obtained 4 weeks later using Pearson’s r and Bland Altman plots. Median WS-SD value dichotomized participants into higher versus lower variability groups. Association between WS-SD and exacerbation risk during 4 follow-up weeks was explored.
Measurements and Main Results:
Diary completion rates were sufficient in 140 (68%) of 205 sub-study participants. Reproducibility (r) of the WS-SD metric from baseline to week 4 was 0.32. Higher variability participants had higher St George’s Respiratory Questionnaire (SGRQ) scores (47.3 ± 20.3 versus 39.6 ± 21.5,
p
=.04) than lower variability participants. Exploratory analyses found no relationship between symptom variability and health care resource utilization-defined exacerbations.
Conclusions:
WS-SD of the E-RS can be used as a measure of symptom variability in studies of patients with COPD. Patients with higher variability have worse health-related quality of life. WS-SD should be further validated as a measure to understand the implications of symptom variability.
Details
- Title: Subtitle
- Characterizing COPD Symptom Variability in the Stable State Utilizing the Evaluating Respiratory Symptoms in COPD Instrument
- Creators
- Jamuna K. Krishnan - Cornell UniversityKayley M. Ancy - Cornell CollegeClara Oromendia - Cornell UniversityKatherine L. Hoffman - Cornell UniversityImaani Easthausen - Cornell UniversityNancy K. Leidy - Evidera, Bethesda, Maryland, United States.MeiLan K. Han - University of MichiganRussell P. Bowler - National Jewish HealthStephanie A. Christenson - University of California, San FranciscoDavid J. Couper - University of North Carolina at Chapel HillGerard J. Criner - Temple University HospitalJeffrey L. Curtis - University of Michigan–Ann ArborMark T. Dransfield - University of Alabama at BirminghamNadia N. Hansel - Johns Hopkins UniversityAnand S. Iyer - University of Alabama at BirminghamRobert Paine III - Division of Pulmonary and Critical Care Medicine, Department of Veterans Affairs Medical Center, University of Utah, Salt Lake City, Utah, United StatesStephen P. Peters - Wake Forest UniversityJadwiga A. Wedzicha - National Heart and Lung Institute, Imperial College London, United Kingdom.Prescott G. Woodruff - University of California, San FranciscoKarla V. Ballman - Cornell UniversityFernando J. Martinez - Cornell UniversitySubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) Investigators
- Contributors
- Eric A Hoffman (Contributor) - University of Iowa, Radiology
- Resource Type
- Journal article
- Publication Details
- Chronic obstructive pulmonary diseases, Vol.9(2), pp.195-208
- DOI
- 10.15326/jcopdf.2021.0263
- PMID
- 35403414
- PMCID
- PMC9166327
- NLM abbreviation
- Chronic Obstr Pulm Dis
- ISSN
- 2372-952X
- eISSN
- 2372-952X
- Publisher
- COPD Foundation Inc
- Alternative title
- COPD Symptom Variability and the E-RS COPD Instrument
- Language
- English
- Date published
- 04/09/2022
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318780002771
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