Sleep Apnea Diagnosis Using a Novel Pacemaker Algorithm and Link With Aldosterone Plasma Level in Patients Presenting With Diastolic Dysfunction

NCT ID: NCT02751021

Last Updated: 2019-08-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

66 participants

Study Classification

INTERVENTIONAL

Study Start Date

2016-06-22

Study Completion Date

2019-06-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Little is known about potential relationships between sleep apnea, plasma aldosterone and diastolic dysfunction which is a very frequent finding among patients requiring permanent cardiac pacing. Sleep apnea is often under diagnosed by clinical examination. Confirmation tests are expensive and access is limited. A specific algorithm available in a recent pacemaker allows assessing breathing variations using minute ventilation sensor, with a good agreement between the respiratory disturbance index and polysomnography results for the diagnosis of severe sleep apnea.

The purpose of the study is to examine the diagnostic accuracy of a new pacemaker algorithm for the diagnosis of obstructive sleep apnea in patients presenting with diastolic dysfunction. The investigators also aim to highlight a correlation between plasma aldosterone levels and the severity of sleep apnea, with a reversal effect of ventilation therapy in this specific population.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Sleep Apnea Arrhythmias, Cardiac Cardiac Diastolic Function Hyperaldosteronism

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Sleep apnea diagnosis

The intervention is the use of the pacemaker diagnostic algorithm named Sleep Apnea Monitoring to detect sleep apnea and the attended cardiorespiratory sleep study to confirm the diagnostic.

Group Type OTHER

pacemaker diagnostic algorithm

Intervention Type OTHER

evaluation of the respiratory disturbance index by measurement of transthoracic impedance variation, to detect sleep apnea

Attended cardiorespiratory sleep study

Intervention Type OTHER

sleep study with portable monitor resulting in the apnea hypopnea index, to confirm sleep apnea diagnosis

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

pacemaker diagnostic algorithm

evaluation of the respiratory disturbance index by measurement of transthoracic impedance variation, to detect sleep apnea

Intervention Type OTHER

Attended cardiorespiratory sleep study

sleep study with portable monitor resulting in the apnea hypopnea index, to confirm sleep apnea diagnosis

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* indication for permanent cardiac pacing (third degree atrioventricular block, second degree atrioventricular block mobitz 2 type, symptomatic sinus node dysfunction including brady-tachy form of sick sinus syndrome or bradyarrhythmia)
* Diastolic dysfunction diagnosed at the transthoracic echocardiography

Exclusion Criteria

* younger than 18 years old
* lack of informed consent form
* impossibility to fit in the scheduled study plan
* indication for cardiac resynchronization or left ventricular ejection fraction lower than 45%
* indication for epicardial pacemaker, known severe sleep apnea treated by continuous positive airway pressure
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

LivaNova

INDUSTRY

Sponsor Role collaborator

University Hospital, Caen

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Laure CHAMP-RIGOT, MD

Role: PRINCIPAL_INVESTIGATOR

University Hospital, Caen

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Caen University Hospital

Caen, Normandy, France

Site Status

Countries

Review the countries where the study has at least one active or historical site.

France

References

Explore related publications, articles, or registry entries linked to this study.

Champ-Rigot L, Ferchaud V, Prevost JN, Moirot P, Pellissier A, Legallois D, Alexandre J, Scanu P, Morello R, Saloux E, Milliez PU. Rationale and Design for a Monocentric Prospective Study: Sleep Apnea Diagnosis Using a Novel Pacemaker Algorithm and Link With Aldosterone Plasma Level in Patients Presenting With Diastolic Dysfunction (SAPAAD Study). Clin Med Insights Cardiol. 2018 Jan 8;12:1179546817751628. doi: 10.1177/1179546817751628. eCollection 2018.

Reference Type DERIVED
PMID: 29343998 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

2016-A00034-47

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.