Clinical Trials Logo

Clinical Trial Summary

DASAP-HF is an observational prospective single arm study. All patients will be treated according to the standard care followed by each center. The protocol requires enrollment of consecutive patients from each center, according to eligibility criteria. All patients must sign the Patient Informed Consent (PIC) before the enrollment in the study. All patients, after the enrollment phase, will be followed for 24 months. Approximately every 12 months a clinical follow-up procedure should be performed in each patient. A sleep study will be done in all patients at 1 month (or at 3 months) from the enrollment, in order to evaluate the performance of the algorithm as a diagnostic tool in this population (primary objective). During the 24 months follow-up period, all Adverse Events occurred in the study population will be collected (HF hospitalizations, all-cause deaths, ventricular arrhythmias, etc.). At the end of the 24 months follow-up, the incidence of clinical events will be evaluated as well as its association with the Respiratory Disturbance Index (RDI) values calculated by APNEA Scan algorithm (secondary objective).


Clinical Trial Description

Heart Failure (HF) is a leading cause of morbidity and mortality in developed countries and a major national and global health problem involving about 2% of the overall population and 10% of the elderly.

A remarkably high proportion (around 50%) of stable optimally treated patients with HF and systolic dysfunction experience persistent, moderate-to-severe breathing disorders both during nighttime e during short-term laboratory recording.Sleep Disordered Breathing (SDB) is associated with transient hypoxia and increased sympathetic activity. Both factors could worsen Left Ventricular Ejection Function (LVEF) or increase serious arrhythmia.

Diagnosing and treating apnea may become a relevant issue in the management of HF patients . Prognostic stratification of congestive HF is an important objective in patient management. Many prognostic stratification scores have been suggested, however none has gained extensive acceptance. Variables used to generate stratification scores must be simple, clinically relevant, and readily obtainable. Furthermore, they must correlate to clinical events, such as hospitalization, Implant Cardioverter Defibrillator (ICD) intervention and mortality. ICD interventions are known to correlate with prognosis, and should thus be included among the end-points.

Cardiac resynchronization therapy (CRT) has been demonstrated to positively affect SA by reducing the apnea-hypopnea index (AHI). The recently developed implantable ventilation sensor which allows automated detection of advanced breathing disorders may provide not only the possibility to closely track the benefit of treatment but also provide further insights into the pathophysiological mechanisms linking Central Sleep Apnea (CSA) to HF. Given that the automated detection of sleep disordered breathing has been only performed in a limited cohort of patients with preserved LVEF requiring pacemaker (PM) implantation for standard bradycardia indications, one aspect requiring clarification is the assessment/validation of the performance of the automated detection in patients with HF.

The RDI is used to assess the severity of sleep apnea based on the total number of complete cessations (apnea) and partial obstructions (hypopnea) of breathing occurring per hour of sleep. These pauses in breathing must last for 10 seconds and are associated with a decrease in oxygenation of the blood. In general, the RDI can be used to classify the severity of disease (mild 5-15, moderate 15-30, and severe greater than 30). An implanted pacing device with a respiratory sensing function may provide clinically useful diagnostics and treatment for sleep-related breathing disorders.

The purpose of this study is to evaluate the performance of the APNEA Scan algorithm in patients implanted with an ICD or CRT-D device endowed with the APNEA Scan algorithm. Primary objective of this study is to evaluate the performance of RDI value calculated by APNEA Scan algorithm, as a binary discriminator of severe Sleep Apnea (SA) as detected by the gold-standard sleep study. Secondary objective of the study is to assess the incidence of clinical events after 24 months of enrollment and investigate its association with the RDI values calculated by APNEA Scan algorithm. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT02620930
Study type Observational
Source University of Florence
Contact
Status Active, not recruiting
Phase N/A
Start date March 2014
Completion date July 2018

See also
  Status Clinical Trial Phase
Recruiting NCT05654272 - Development of CIRC Technologies
Recruiting NCT05196659 - Collaborative Quality Improvement (C-QIP) Study N/A
Recruiting NCT05650307 - CV Imaging of Metabolic Interventions
Active, not recruiting NCT05896904 - Clinical Comparison of Patients With Transthyretin Cardiac Amyloidosis and Patients With Heart Failure With Reduced Ejection Fraction N/A
Completed NCT05077293 - Building Electronic Tools To Enhance and Reinforce Cardiovascular Recommendations - Heart Failure
Recruiting NCT05631275 - The Role of Bioimpedance Analysis in Patients With Chronic Heart Failure and Systolic Ventricular Dysfunction
Enrolling by invitation NCT05564572 - Randomized Implementation of Routine Patient-Reported Health Status Assessment Among Heart Failure Patients in Stanford Cardiology N/A
Enrolling by invitation NCT05009706 - Self-care in Older Frail Persons With Heart Failure Intervention N/A
Recruiting NCT04177199 - What is the Workload Burden Associated With Using the Triage HF+ Care Pathway?
Terminated NCT03615469 - Building Strength Through Rehabilitation for Heart Failure Patients (BISTRO-STUDY) N/A
Recruiting NCT06340048 - Epicardial Injection of hiPSC-CMs to Treat Severe Chronic Ischemic Heart Failure Phase 1/Phase 2
Recruiting NCT05679713 - Next-generation, Integrative, and Personalized Risk Assessment to Prevent Recurrent Heart Failure Events: the ORACLE Study
Completed NCT04254328 - The Effectiveness of Nintendo Wii Fit and Inspiratory Muscle Training in Older Patients With Heart Failure N/A
Completed NCT03549169 - Decision Making for the Management the Symptoms in Adults of Heart Failure N/A
Recruiting NCT05572814 - Transform: Teaching, Technology, and Teams N/A
Enrolling by invitation NCT05538611 - Effect Evaluation of Chain Quality Control Management on Patients With Heart Failure
Recruiting NCT04262830 - Cancer Therapy Effects on the Heart
Completed NCT06026683 - Conduction System Stimulation to Avoid Left Ventricle Dysfunction N/A
Withdrawn NCT03091998 - Subcu Administration of CD-NP in Heart Failure Patients With Left Ventricular Assist Device Support Phase 1
Recruiting NCT05564689 - Absolute Coronary Flow in Patients With Heart Failure With Reduced Ejection Fraction and Left Bundle Branch Block With Cardiac Resynchronization Therapy