Autonomic Function in Patients With COPD

Evaluation of Autonomic Function Deficits in Patients With Chronic Obstructive Pulmonary Disease

Conduct an in-depth evaluation of autonomic function using a validated tests, assess genetic aspects of autonomic failure, and determine the correlation between of autonomic function failure and other clinical variables in patients with COPD.

Study Overview

• Status: Completed
• Conditions: Autonomic Function in Patients With Chronic Obstructive Pulmonary Disease
• Intervention / Treatment: Device: ECG

Detailed Description

Chronic obstructive pulmonary disease (COPD) is a highly prevalent systemic disease that is caused by both environmental determinants and genetic risk factors. Patients with COPD also present with several comorbidities affecting their overall health status (Berndt et al, 2012). The investigators have demonstrated from recently conducted systematic reviews that patients with COPD have significant impairments in autonomic function (Mohammed et al, 2015). Our ongoing hospital survey (preliminary results) also indicates these patients have significant autonomic complaints (symptoms). Consequently, the objectives of this present study are to; i) conduct an in-depth evaluation of autonomic function using a validated battery of tests, (ii) assess genetic aspects of autonomic failure, and (iii) to determine the correlation between of autonomic function failure and other clinical variables in patients with COPD.

Based on the experience of our group (PhD- De Wandele, 2014), the investigators will evaluate the cardiovascular function (reflexes) in patients with COPD of different GOLD stages. The recruitment will be based on our recent questionnaire study. The patients will be evaluated by four validated tests. The first test is the HRV at rest. In this test, the ECG during 30 minutes will be registered while the patient lies supine. The R-R intervals analysis will be evaluated by time (mean and standard deviation (SD) and other derived parameters such as SDNN) and frequency (Fast Fourier analysis to measure high frequency, low frequency bands and the ratio of HF/LF) domain parameters. The second test is the deep breathing maneuver. This test will be based on the phenomenon of respiratory arrhythmia. Here, patients will be asked to breath in and out at an imposed rhythm (8 cycles of 5 seconds in and 5 seconds out) that will be displayed on a screen (laptop). For this test, changes of heart rate (ECG) at breathing in and breathing out will be analyzed to ascertain its impact on parasympathetic activity. The third test is the valsalva manoeuver (which is evoked by blowing into a tube at a pressure between 40 and 50 mmHg for 15 seconds/3 trials). During this test (ECG recordings), the valsalva ratio (parasympathetic measure) and the 4 phases of blood pressure response (sympathetic reactivity) will be calculated and quantified (Novak, 2011). The adrenergic, vagal and global baroreflex sensitivity parameters will also be calculated (Schrezenmaier et al. 2007) from the ECG recordings. The fourth and last test is the head up tilt test. Here, the patient after 5 minutes of rest in supine position will be tilted rapidly to 60°. Due to redistribution of the blood in the body, this test is normally expected to evoke changes in blood pressure and heart rate that will be compared with the baseline measures. The tilt test (position) will last about 20 minutes. The initial orthostatic (hypotension) status will be taken into account.

In the end, the investigators will calculate a "composite autonomic severity score" (CASS) based on cardiogenic and adrenegic functions thats will be derived from tests. the CASS results will range from 0 (no autonomic deficit) to 10 (maximal deficit). Also, the CASS score will be associated with different parameters. These include anthropometric measures (BMI, weight, height, fat free mass and fat mass), disease phenotyping (lung function (tiffeneau-index, breathing frequency, ventilatory effort, dyspnea, number of exacerbations, disease progression, anxiety and subjective well-being) and medication usage.

This study also has a genetic aspect that will be carried out concurrently. Here, the investigators aim to determine the prevalence of autonomic failure genes in these patients and also correlate same with autonomic performance. For this, venous blood samples will be collected by a a nurse. These samples will be relayed to the medical genetics Department for DNA extraction and evaluation (polymorphisms). The evaluation will be based upon identification of autonomic failure genes that were earlier reported by Mathias & Bannister ( 2013). These genes include α2b-adrenergic receptor (5ADRA2B), dopamine receptor D4, Solute carrier family 6 (neurotransmitter transporter noradrenaline)-member 2, ........ This part of the study will be done in collaboration with the Medical Genetics Centre of the University Hospital Ghent.

In total, the investigators are aiming to recruit 50 patients.

• Study Type: Observational
• Enrollment (Actual): 26

Contacts and Locations

Study Locations

• Belgium
  • East Flanders
    • Ghent, East Flanders, Belgium, 9000
      • Ghent University Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 50 years to 80 years (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Patients with COPD attending the respiratory medicine department or the pulmonary rehabilitation division of Ghent University Belgium.

Description

Inclusion Criteria:

Stable COPD Ambulant

Exclusion Criteria:

• Recent hospitilization (3 months) Recent exacerbation (3 months) Other chronic systemic diseases (eg CHF, DM)

Study Plan

How is the study designed?

Design Details

• Observational Models: Cohort
• Time Perspectives: Cross-Sectional

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Autonomic symptom score (COMPASS 31) questionnaire	Asses orthostatic intolerance	1 hour
Autonomic symptom score (COMPASS 31) questionnaire	Asses autonomic symptoms	1 hour
Autonomic symptom score (COMPASS 31) questionnaire	Asses secretomotor symptoms	1 hour
Autonomic symptom score (COMPASS 31) questionnaire	Asses gastrointestinal symptoms	1 hour
Autonomic symptom score (COMPASS 31) questionnaire	Asses urinary symptoms	1 hour
Autonomic symptom score (COMPASS 31) questionnaire	Asses pupillomotor symptoms	1 hour

Collaborators and Investigators

• Sponsor: University Hospital, Ghent

Study record dates

Study Major Dates

• Study Start (Actual): July 1, 2016
• Primary Completion (Actual): December 31, 2018
• Study Completion (Actual): December 31, 2018

Study Registration Dates

• First Submitted: August 16, 2016
• First Submitted That Met QC Criteria: December 19, 2022
• First Posted (Actual): December 28, 2022

Study Record Updates

• Last Update Posted (Actual): December 28, 2022
• Last Update Submitted That Met QC Criteria: December 19, 2022
• Last Verified: December 1, 2022

More Information

Terms related to this study

• Keywords: Genetics; COPD; Autonomic nervous system
• Additional Relevant MeSH Terms: Respiratory Tract Diseases; Lung Diseases; Lung Diseases, Obstructive; Pulmonary Disease, Chronic Obstructive
• Other Study ID Numbers: B670201628572

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: Undecided