Predicting the Gender-based Aerobic Capacity in Chronic Obstructive Pulmonary Disease Patients with superadded Infection: A Study Protocol
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
JCDR Research and Publications Private Limited
2025-06-01
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| Series: | Journal of Clinical and Diagnostic Research |
| Subjects: | |
| Online Access: | https://jcdr.net/articles/PDF/21076/75022_CE[Ra1]_F(SL)_QC(PS_SS)_PF1(RI_SS)_PFA(IS)_PN(IS).pdf |
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| Summary: | 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. |
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| ISSN: | 2249-782X 0973-709X |