Statistical Modeling of Disease Progression for Chronic Obstructive Pulmonary Disease Using Data from the ECLIPSE Study. (May 2017)
- Record Type:
- Journal Article
- Title:
- Statistical Modeling of Disease Progression for Chronic Obstructive Pulmonary Disease Using Data from the ECLIPSE Study. (May 2017)
- Main Title:
- Statistical Modeling of Disease Progression for Chronic Obstructive Pulmonary Disease Using Data from the ECLIPSE Study
- Authors:
- Exuzides, Alex
Colby, Chris
Briggs, Andrew H.
Lomas, David A.
Rutten-van Mölken, Maureen P. M. H.
Tabberer, Maggie
Chambers, Mike
Muellerova, Hana
Locantore, Nicholas
Risebrough, Nancy A.
Ismaila, Afisi S.
Gonzalez-McQuire, Sebastian - Abstract:
- Background . To develop statistical models predicting disease progression and outcomes in chronic obstructive pulmonary disease (COPD), using data from ECLIPSE, a large, observational study of current and former smokers with COPD.Methods . Based on a conceptual model of COPD disease progression and data from 2164 patients, associations were made between baseline characteristics, COPD disease progression attributes (exacerbations, lung function, exercise capacity, and symptoms), health-related quality of life (HRQoL), and survival. Linear and nonlinear functional forms of random intercept models were used to characterize these relationships. Endogeneity was addressed by time-lagging variables in the regression models.Results . At the 5% significance level, an exacerbation history in the year before baseline was associated with increased risk of future exacerbations (moderate: +125.8%; severe: +89.2%) and decline in lung function (forced expiratory volume in 1 second [FEV1 ]) (–94.20 mL per year). Each 1% increase in FEV1 % predicted was associated with decreased risk of exacerbations (moderate: –1.1%; severe: –3.0%) and increased 6-minute walk test distance (6MWD) (+1.5 m). Increases in baseline exercise capacity (6MWD, per meter) were associated with slightly increased risk of moderate exacerbations (+0.04%) and increased FEV1 (+0.62 mL). Symptoms (dyspnea, cough, and/or sputum) were associated with an increased risk of moderate exacerbations (+13.4% to +31.1%), and baselineBackground . To develop statistical models predicting disease progression and outcomes in chronic obstructive pulmonary disease (COPD), using data from ECLIPSE, a large, observational study of current and former smokers with COPD.Methods . Based on a conceptual model of COPD disease progression and data from 2164 patients, associations were made between baseline characteristics, COPD disease progression attributes (exacerbations, lung function, exercise capacity, and symptoms), health-related quality of life (HRQoL), and survival. Linear and nonlinear functional forms of random intercept models were used to characterize these relationships. Endogeneity was addressed by time-lagging variables in the regression models.Results . At the 5% significance level, an exacerbation history in the year before baseline was associated with increased risk of future exacerbations (moderate: +125.8%; severe: +89.2%) and decline in lung function (forced expiratory volume in 1 second [FEV1 ]) (–94.20 mL per year). Each 1% increase in FEV1 % predicted was associated with decreased risk of exacerbations (moderate: –1.1%; severe: –3.0%) and increased 6-minute walk test distance (6MWD) (+1.5 m). Increases in baseline exercise capacity (6MWD, per meter) were associated with slightly increased risk of moderate exacerbations (+0.04%) and increased FEV1 (+0.62 mL). Symptoms (dyspnea, cough, and/or sputum) were associated with an increased risk of moderate exacerbations (+13.4% to +31.1%), and baseline dyspnea (modified Medical Research Council score ≥2 v. <2) was associated with lower FEV1 (–112.3 mL).Conclusions . A series of linked statistical regression equations have been developed to express associations between indicators of COPD disease severity and HRQoL and survival. These can be used to represent disease progression, for example, in new economic models of COPD. … (more)
- Is Part Of:
- Medical decision making. Volume 37:Number 4(2017)
- Journal:
- Medical decision making
- Issue:
- Volume 37:Number 4(2017)
- Issue Display:
- Volume 37, Issue 4 (2017)
- Year:
- 2017
- Volume:
- 37
- Issue:
- 4
- Issue Sort Value:
- 2017-0037-0004-0000
- Page Start:
- 453
- Page End:
- 468
- Publication Date:
- 2017-05
- Subjects:
- exacerbation -- lung function -- survival -- St George's Respiratory Questionnaire -- mixed models
Medical policy -- Periodicals
Clinical medicine -- Decision making -- Periodicals
Medicine -- Periodicals
Médecine clinique -- Prise de décision -- Périodiques
362.1 - Journal URLs:
- http://journals.sagepub.com/home/mdm ↗
http://www.ingenta.com/journals/browse/sage/j501 ↗
http://www.sagepublications.com/ ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0272-989x;screen=info;ECOIP ↗ - DOI:
- 10.1177/0272989X15610781 ↗
- Languages:
- English
- ISSNs:
- 0272-989X
- Deposit Type:
- Legaldeposit
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