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Research Project

Self-reported physical activity in patients with alpha-1 antitrypsin deficiency

Principal Investigator:
Emily van ‘t Wout
Center:
Leiden University Medical Center (LUMC)
City/Country:
Leiden, The Netherlands
Start date:
May 15th, 2024
Status:
Ongoing
Contact E-mail:
e.f.a.van_t_wout@lumc.nl
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Introduction

In COPD, physical inactivity is associated with an elevated risk of hospitalization and mortality.This often occurs as a result of a decline in physical condition due to a sedentary lifestyle, leading to reduced levels of physical activity. Similarly, in a small cohort of alpha-1 antitrypsin deficiency (AATD) patients, exercise capacity is associated with health status. However, studies about physical activity in patients AATD are sparse.

Objectives

This study aims to explore physical activity levels and any associated limitations in AATD patients. Additionally, we will examine other lifestyle factors such as smoking and alcohol consumption.

Inclusion criteria

Participants in the EARCO International Registry

Brief summary

The clinical data from baseline visits will be collected. This involves data on demography, BMI, comorbidities (exacerbation frequency, cardiovascular disease, depression), exercise capacity (BODE) index and medication use. Furthermore, clinical data will be collected regarding:

  1. Lifestyle characteristics: physical activity, smoking status, alcohol consumption, working status
  2. Physical activity limitations that were assessed with the St George’s Respiratory Questionnaire (SGRQ) and EQ-5D
  3. Exercise capacity parameters: 6minute walking distance and cardiopulmonary exercise testing
  4. Symptoms: modified Medical Research Council (mMRC), COPD assessment test (CAT) and SGRQ
  5. Pulmonary function: spirometry, diffusion capacity, bodyplethysmography
  6. Data from CT scans (emphysema, bronchiectasis).
We will compare patients who meet the criteria for sufficient physical activity according to the American College of Sports Medicine Associations with those who do not meet the criteria.
Associations between physical activity and the other collected characteristics will be examined using regression analysis adjusted for age and sex.