Title

COPD assessment test (CAT) scores as predictors of anxiety and depression in COPD patients

Authors

Mahendra Singh Chouhan¹, Sourabh Jain², Satyendra Mishra^3,* & Sanjay Gupta⁴ & Talha Saad³

Affiliation

¹Department of Pediatrics, Bundelkhand Medical College, Sagar, Madhya Pradesh, India; ²Department of Emergency Medicine, Bundelkhand Medical College, Sagar, Madhya Pradesh, India; ³Department of Respiratory Medicine, Bundelkhand Medical College, Sagar, Madhya Pradesh, India; ⁴Department of TB and Respiratory Diseases, Chief Medical Officer (Senior Administrative Grade), NITRD, Delhi, India; *Corresponding author

Email

Mahendra Singh Chouhan - E-mail: mahendrachouhan86@gmail.com
Sourabh Jain - E-mail: drsourabh24@gmail.com
Satyendra Mishra - E-mail: satyendrasgo@gmail.com
Sanjay Gupta - E-mail: drsanjaygupta98@gmail.com
Talha Saad - E-mail: dr.talhasaad@gmail.com

Article Type

Research Article

Date

Received March 1, 2026; Revised March 31, 2026; Accepted March 31, 2026, Published March 31, 2026

Abstract

Anxiety and depression commonly co-occur in COPD patients, negatively impacting their quality of life and health outcomes. The COPD Assessment Test (CAT) evaluates COPD severity but its potential to predict mental health issues is underexplored. Therefore, it is of interest to investigate the correlation between CAT scores and anxiety and depression in 160 COPD patients. Significant correlations were found between higher CAT scores and increased levels of anxiety and depression. Thus, we show that CAT scores can be integrated into mental health screening, facilitating early detection and management of comorbidities

Keywords

Chronic Obstructive Pulmonary Disease (COPD), CAT score, anxiety, depression, mental health, GAD-7, PHQ-9

Citation

Chouhan et al. Bioinformation 22(3): 1651-1654 (2026)

Edited by

Ritik Kashwani

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.