
Predicting the Gender-based Aerobic Capacity in Chronic Obstructive Pulmonary Disease Patients with superadded Infection: A Study Protocol
Correspondence Address :
Dr. Subhasish Chatterjee,
Associate Professor, Maharishi Markandeshwar Institute Of Physiotherapy And Rehabilitation (MMIPR), Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala-133207, Haryana, India.
E-mail: subhasishphysio@mmumullana.org
Introduction: Chronic Obstructive Pulmonary Disease (COPD), a prevalent respiratory condition, can be prevented and treated. Among various triggers, infections are a leading cause of COPD exacerbations. Assessing aerobic capacity is essential in the management of COPD, as it serves as a fundamental indicator of both quality of life and mortality. However, determining this target value necessitates the estimation of a gender-based predictive aerobic capacity value for each individual.
Need of the study: The newly developed gender-based reference equation for aerobic capacity may have the potential to accurately calculate predicted values that assess the individual patient’s aerobic capacity.
Aim: To develop a gender-based prediction equation to assess aerobic capacity in COPD patients with infection.
Materials and Methods: This cross-sectional study will recruit COPD patients with infections from the In-Patient Department (IPD) at a tertiary care super-specialty hospital (Maharishi Markandeshwar Institute of Medical Sciences and Research, Ambala, Haryana, India), using purposive sampling be conducted over a period of one year (from July 2024 to June 2025). The Forced Expiratory Volume in 1 second to Forced Vital Capacity (FEV1/FVC) ratio will be recorded using the post-bronchodilator PFT report, while aerobic capacity will be assessed through the Six-Minute Walk Test (6MWT) for 80 participants. Data will be analysed using IBM Statistical Package for the Social Sciences (SPSS) version 26.0. Depending on the data type, Chi-square, Spearman’s, or Pearson’s tests will be used to assess the relationship between FEV1/FVC and 6MWT. Multivariate linear regression with a step-wise approach will be employed to create a predictive equation for aerobic capacity. Subsequently, a standardised equation for aerobic capacity will be derived.
Forced expiratory volume, Respiratory function tests, Six-minute walk test
DOI: 10.7860/JCDR/2025/75022.21076
Date of Submission: Oct 03, 2024
Date of Peer Review: Dec 17, 2024
Date of Acceptance: Apr 12, 2025
Date of Publishing: Jun 01, 2025
AUTHOR DECLARATION:
• Financial or Other Competing Interests: None
• Was Ethics Committee Approval obtained for this study? Yes
• Was informed consent obtained from the subjects involved in the study? No
• For any images presented appropriate consent has been obtained from the subjects. NA
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ETYMOLOGY: Author Origin
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