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Title

BODE index and depression in COPD patients: A cross-sectional study from central India

 

Authors

Satyendra Mishra1, Mahendra Singh Chouhan2, Sourabh Jain3,*, Sanjay Gupta4 & Talha Saad1

 

Affiliation

1Department of Respiratory Medicine, Bundelkhand Medical College, Sagar, Madhya Pradesh, India; 2Department of Pediatrics, Bundelkhand Medical College, Sagar, Madhya Pradesh, India; 3Department of Emergency 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

Satyendra Mishra - E-mail: satyendrasgo@gmail.com
Mahendra Singh Chouhan - E-mail: mahendrachouhan86@gmail.com
Sourabh Jain - E-mail: drsourabh24@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

Depression is a common comorbidity in Chronic Obstructive Pulmonary Disease (COPD) patients, exacerbating their disease burden. The BODE index, which assesses COPD severity, includes parameters such as Body mass index, obstruction, dyspnea and exercise capacity. Therefore, it is of interest to explore the correlation between the BODE index and depression in 160 clinically stable COPD patients. A significant positive correlation was found between the BODE index and depression severity (ρ=0.44, P<0.01). This study advances knowledge by highlighting the link between the BODE index and depression, emphasizing the need for integrated care approaches.

 

Keywords

Chronic Obstructive Pulmonary Disease (COPD), Depression, Body mass index, Obstruction, Dyspnea and Exercise capacity (BODE) index, Patient Health Questionnaire-9 (PHQ-9)

 

Citation

Ritik Kashwani

 

Edited by

Mishra et al. Bioinformation 22(3): 1511-1514 (2026)

 

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.