Coronary Heart Disease Incidence: Depression & Inflammation Risk

Status Completed

Clinical Trial Summary

To examine the associations among depression, inflammation, and coronary heart disease using an existing data base and associated plasma samples.

Clinical Trial Description

BACKGROUND:

Classic risk factors for coronary heart disease (CHD) do not yet predict the majority of new cases. Of the novel risk factors recently explored, elevated depressive symptoms have been found in a number of prospective studies to predict new CHD cases, as have inflammatory markers, including high sensitivity C-Reactive Protein (CRP), interleukin-6 (IL-6), and intercellular adhesion molecule. Interestingly, depression and inflammatory markers have high covariation, and intervention studies indicate that reducing depression may reduce peripheral inflammation, while successfully treating inflammation may ameliorate depressive symptoms. It becomes critical then to know if these candidate CHD risk factors are independent or dependent of the other in the prediction of CHD incidence.

DESIGN NARRATIVE:

The study will determine if depressive symptoms and inflammatory markers are independent or dependent CHD risk factors, when controlling for the other known CAD risk factors. A population-based prospective study (the Nova Scotia Health Survey; NSHS95) was conducted almost 10 years ago, in which participants were randomly selected from the socialized medical registry, which includes all citizens. All classic CHD risk factors were obtained at baseline (age, sex, race, fasting lipids, diabetic status, family CHD history, resting blood pressure, exercise levels, body mass index, smoking status, and socioeconomic status). Depressive symptoms as assessed by the Center for Epidemiological Studies Depression scale were also obtained at baseline. Plasma blood samples were obtained and maintained in a -80 degree (Celsius) freezer. Participants gave permission for medical registry records to be linked to their survey data, so that objectively documented previous and future CAD events could be detected. The study will assay plasma samples for CRP, IL-6 and ICAM-1 and then statistically model the associations among depression, inflammation and CHD incidence. ;

Study Design

Observational Model: Cohort, Time Perspective: Prospective

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT00241774
Study type	Observational
Source	Columbia University
Contact
Status	Completed
Phase	N/A
Start date	August 2005
Completion date	May 2010

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Clinical trials are conducted in a series of steps, called phases - each phase is designed to answer a separate research question.

Phase 1: Researchers test a new drug or treatment in a small group of people for the first time to evaluate its safety, determine a safe dosage range, and identify side effects.
Phase 2: The drug or treatment is given to a larger group of people to see if it is effective and to further evaluate its safety.
Phase 3: The drug or treatment is given to large groups of people to confirm its effectiveness, monitor side effects, compare it to commonly used treatments, and collect information that will allow the drug or treatment to be used safely.
Phase 4: Studies are done after the drug or treatment has been marketed to gather information on the drug's effect in various populations and any side effects associated with long-term use.