Depression and Heart Failure Disease Progression

Sponsor
Duke University (Other)
Overall Status
Completed
CT.gov ID
NCT02131428
Collaborator
(none)
186
1
85
2.2

Study Details

Study Description

Brief Summary

Heart failure is the most costly diagnosis in the Medicare population. Clinical depression is strikingly common in heart failure patients, and not only diminishes their quality of life, but also is associated with a markedly increased risk of hospitalization or death. This study is designed to further our understanding of the behavioral and biological effects of depression in patients with heart failure, so that appropriate treatments can be developed.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    There are over five million Americans living with heart failure (HF), and another 670,000 new cases being diagnosed each year. HF is a characteristically unstable condition that is the most costly diagnosis in the Medicare population and is the most common cause for hospitalization. The instability of HF disease is reflected in short-term fluctuations of the HF disease biomarker, B-Type Natriuretic Peptide (BNP). Patient self-management behaviors are important for minimizing HF disease instability. Depression is often comorbid with HF, and elevated depressive symptoms are associated with a marked increase in adverse clinical outcomes. For both depressed and non-depressed HF patients, worsening depressive symptoms mark a substantially increased risk of cardiovascular hospitalization or death. Despite the risk associated with depressive symptoms, the nature of their association with a worsening HF disease trajectory and adverse clinical outcomes is poorly understood.

    Converging evidence suggests that the association between depressive symptoms and accelerated HF disease progression may involve multiple behavioral and pathophysiological pathways. This study proposes an innovative, prospective bio-behavioral monitoring study of 220 HF patients that is designed to address the issue of how depressive symptoms and their bio-behavioral manifestations are implicated in worsening HF disease. Using home-monitoring biotechnology, we propose to track fluctuations in HF disease severity using biweekly assessments of BNP over a 16-week period. Symptoms of depression and HF-related health behaviors also will be assessed biweekly via concurrent monitoring. This biweekly bio-behavioral monitoring will be framed by comprehensive baseline and 4-month assessments of depression, HF disease severity, and pathophysiological mechanisms that have been related to the presence of depressive symptoms and implicated in the progression of HF disease. Clinical outcomes also will be assessed over a 5 year follow-up period. This study will create a unique data structure that will allow us to use contemporary statistical methods that will serve to elucidate causal associations between depressive symptoms, self-management health behaviors, pathophysiological processes, and HF disease progression and clinical outcomes. The study findings are expected to yield important advances in our understanding of why depressive symptoms may be particularly detrimental in the presence of HF and will help to inform the design of future clinical trials.

    Study Design

    Study Type:
    Observational
    Actual Enrollment :
    186 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Depression and Heart Failure Disease Progression
    Study Start Date :
    Nov 1, 2014
    Actual Primary Completion Date :
    Dec 1, 2021
    Actual Study Completion Date :
    Dec 1, 2021

    Outcome Measures

    Primary Outcome Measures

    1. Time to Hospitalization or Death [5 years]

      Time to hospitalization or death

    2. Change in Quality of Life [Bi-weekly of a 4-month period, 4 months, 1 year]

      Psychosocial measures of Quality of Life

    3. Change in Self-Management Behaviors [Bi-weekly of a 4-month period, 4 months, 1 year]

      Health Behaviors

    4. Change in Heart Failure Disease Biomarkers [Bi-weekly of a 4-month period, 4 months, 1 year]

      Disease Biomarkers

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    21 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • Men or women aged 21 years or older

    • Heart Failure of at least 3-months duration

    • Left ventricular Ejection Fraction (EF) ≤ 45% by left ventricular angiography, nuclear wall motion study, or echocardiography, Or

    • Preserved ejection fraction with either: Hospitalization within the previous 12 months with management of heart failure as a major component of the care provided; or Elevated natriuretic peptide level (NT-proBNP ≥ 360 pg/ml or BNP ≥ 100 pg/ml) within 6 months of enrollment.

    • Undergoing treatment with a stable medication regimen.

    Exclusion Criteria:
    • Myocardial Infarction (MI), within 1 month of enrollment

    • Percutaneous Transluminal Coronary Angioplasty(PTCA), Coronary Artery Bypass Graft (CABG) within 3 month of enrollment

    • HF due to correctable cause or condition such as uncorrected primary valvular disease

    • Alcohol or drug abuse within 12 months

    • Illness such as malignancies that are associated with a life-expectancy of < 12 months

    • Current pregnancy

    • Inability to provide informed consent

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Duke University Medical Center Durham North Carolina United States 27710

    Sponsors and Collaborators

    • Duke University

    Investigators

    • Principal Investigator: Andrew Sherwood, PhD, Duke University

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Duke University
    ClinicalTrials.gov Identifier:
    NCT02131428
    Other Study ID Numbers:
    • Pro00052933
    First Posted:
    May 6, 2014
    Last Update Posted:
    Jan 10, 2022
    Last Verified:
    Dec 1, 2021
    Individual Participant Data (IPD) Sharing Statement:
    No
    Plan to Share IPD:
    No
    Keywords provided by Duke University
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Jan 10, 2022