Source: Annual Congress 2002 - Assessment of lung function, telemonitoring and quality of life
Disease area: Airway diseases

Abstract

The measurement of health-related quality of life (HRQoL) is increasingly important in the management of COPD and in the evaluation of interventions. However, the relationship between HRQoL and clinical variables is not well understood. This study examines the relationship between HRQoL as measured by EQ-5D and its potential covariates for individuals with COPD in a population dataset. Data was taken from the nationally representative 1996 Health Survey for England. 293 informants were identified as having COPD (current smokers aged > 40 years, FEV1 < 80% of predicted, FEV1/FVC ratio < 0.7). Bivariate descriptive statistics and linear regression were used to explore the relationship between EQ-5D, lung function and respiratory symptoms. Bivariate analysis showed a negative relationship between increasing COPD severity in terms of % predicted FEV1 and decreasing EQ-5D score. Linear regression showed that after controlling for age, % predicted FEV1 explained only 5% of the variance in EQ-5D score for individuals with COPD. However adding variables on the experience of respiratory symptoms to the model improved the proportion of explained variance to > 30%. Furthermore forward stepwise regression suggested that the best model should not include % predicted FEV1 as an explanatory variable. Results indicate that EQ-5D is able to discriminate individuals with COPD according to the severity of their disease as defined using % predicted FEV1. Findings also show that HRQoL as measured by EQ-5D can be predicted in a simple model using readily collected information about individuals' experience of respiratory symptoms. As such these results may be of interest to the designers of future clinical studies of COPD.

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S. Macran, P. Kind, M. D. Spencer (York, Greenford, United Kingdom). Predicting quality of life in chronic obstructive pulmonary disease. Eur Respir J 2002; 20: Suppl. 38, 1005

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