Exploration of specific domains within the COPD assessment test (CAT)

<bold>Objectives:</bold> CAT was developed as a measure of COPD health status impairment for clinical practice and research. It was designed to have a total score from the sum of 8 items, but subsequently investigators have explored the use of individual items. This study analysed the factor structure of CAT and tested the potential to reduce items and create domains. <bold>Methods:</bold> Data are from the baseline of COMPASS (Liang, et al. <italic>ERJ Open Res</italic> 2021;7:00201). Exploratory factor analysis (EFA) was used to identify factors with Eigenvalues >1.0. <bold>Results:</bold> CAT data from 1696 COPD patients were available, 89.6% male, mean age 65.4 years, mean post-bronchodilator FEV<sub>1</sub> 66.6% predicted. Using all 8 CAT items, 3 Factors were identified: Activity (items 3, 4, 5, 6), Cough & Sputum (items 1, 2) and Sleep & Energy (items 7, 8); items 3 and 8 did not load strongly and were dropped. Item 7 was then dropped as a single item domain, as it correlated poorly with other measures (<bold>Table</bold>). The % of total variance in the model explained by the 8 items was 56.3%, 6 items 53.9%, and 5 items 61.3%. Correlations between different CAT items with SGRQ, mMRC and FEV<sub>1</sub> are tabulated (<bold>Table</bold>). Notably, CAT 5-item correlated as strongly with SGRQ total score as CAT 8-item. <bold>Conclusion:</bold> These findings suggest CAT may be reduced to 5 items with 2 domain scores (Cough & Sputum and Activity). These scores show convergent validity with scores captured by other patient-centred outcomes. <bold>Funding</bold> GSK (208630) <fig><object-id>erj;64/suppl_68/PA2162/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa2162
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
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article
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article

Exploration of specific domains within the COPD assessment test (CAT)

Hongling Chu, X. Hu, Yongchang Sun, Ying Liang et al.
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Exploration of specific domains within the COPD assessment test (CAT)

Hongling Chu, X. Hu, Yongchang Sun, Ying Liang, Tao Ye, Zhen Huang, Jingge Qu, Paul Jones
article en

Abstract

<bold>Objectives:</bold> CAT was developed as a measure of COPD health status impairment for clinical practice and research. It was designed to have a total score from the sum of 8 items, but subsequently investigators have explored the use of individual items. This study analysed the factor structure of CAT and tested the potential to reduce items and create domains. <bold>Methods:</bold> Data are from the baseline of COMPASS (Liang, et al. <italic>ERJ Open Res</italic> 2021;7:00201). Exploratory factor analysis (EFA) was used to identify factors with Eigenvalues >1.0. <bold>Results:</bold> CAT data from 1696 COPD patients were available, 89.6% male, mean age 65.4 years, mean post-bronchodilator FEV<sub>1</sub> 66.6% predicted. Using all 8 CAT items, 3 Factors were identified: Activity (items 3, 4, 5, 6), Cough & Sputum (items 1, 2) and Sleep & Energy (items 7, 8); items 3 and 8 did not load strongly and were dropped. Item 7 was then dropped as a single item domain, as it correlated poorly with other measures (<bold>Table</bold>). The % of total variance in the model explained by the 8 items was 56.3%, 6 items 53.9%, and 5 items 61.3%. Correlations between different CAT items with SGRQ, mMRC and FEV<sub>1</sub> are tabulated (<bold>Table</bold>). Notably, CAT 5-item correlated as strongly with SGRQ total score as CAT 8-item. <bold>Conclusion:</bold> These findings suggest CAT may be reduced to 5 items with 2 domain scores (Cough & Sputum and Activity). These scores show convergent validity with scores captured by other patient-centred outcomes. <bold>Funding</bold> GSK (208630) <fig><object-id>erj;64/suppl_68/PA2162/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

Peking University (CN), Open Rights Group (GB), GlaxoSmithKline (China) (CN), Peking University Third Hospital (CN), Department of Veterans Affairs (AU)
Climate action
Openalex Percentile: Top 63%
Chronic Obstructive Pulmonary Disease (COPD) Research
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