Atrial Fibrillation Clinical Trial
Official title:
Assessment of Atrial Tissue Obtained From Patients Undergoing Heart Surgery
Over the past decade, techniques have been refined which permit an enormous amount of
information relevant to disease mechanisms to be gained from the examination of heart
tissue. The Cardiovascular Institute has extensive experience with these techniques, and has
utilized them to examine other heart disease substrates.
In this study, the investigators propose to obtain heart tissue at the time of cardiac
surgery which would otherwise be discarded. Their plan is to examine this tissue and
correlate their findings with clinical data. Their hope is that the proposed study will
provide insight into atrial physiology, including the molecular mechanisms underlying atrial
disease and the potential development of atrial fibrillation (AF).
This will be a prospective "registry" for atrial tissue. The investigators propose an
enrollment of 300 subjects, to take place at University of Pittsburgh Medical Center (UPMC)
Presbyterian over a 5 year period.
Atrial fibrillation (AF), a disorder of heart rhythm, is epidemic in the United States,
affecting nearly 3 million people. AF arises in a variety of settings, often in association
with other cardiac disease. Demographic and clinical factors can be utilized to profile
"at-risk" patients, but the predictive value of such algorithms is low. The reasons for this
presumably relate to the fact that these factors are interacting with the tissue substrate
in a variable way. In addition, correlations such as these provide no insight into
mechanisms associated with the development of AF in patients without other known heart
disease, which is commonplace.
Over the past decade, techniques have been refined which permit an enormous amount of
information relevant to disease mechanisms to be gained from examination of heart tissue.
The Cardiovascular Institute has extensive experience with these techniques, and has
utilized them to examine other heart disease substrates.
In this study, we propose to obtain heart tissue at the time of cardiac surgery which would
otherwise be discarded. Our plan is to examine this tissue and correlate our findings with
clinical data. Our hope is that the proposed study will provide insight into atrial
physiology, including the molecular mechanisms underlying atrial disease and the potential
development of AF.
This will be a prospective "registry" for atrial tissue. We propose an enrollment of 300
subjects, to take place at UPMC Presbyterian over a 5 year period.
Subjects will be recruited from among those patients referred for non-emergent surgery on
the heart for standard indications. The patient's medical record will be reviewed and
information recorded that includes demographics, heart disease history, other past medical
history, current lab work, current drug therapy, and all cardiac testing the patient has
undergone prior to surgery. Patients undergoing surgery will have residual atrial tissue
which would otherwise be discarded (related to cannulation and/or appendectomy). Thus,
obtaining this tissue will have no effect on the flow, duration, or outcome of the operative
procedure.
Tissue assessment will include:
- Microscopic histology using standard tissue stains; and
- Characterization of gene expression.
Characterization of gene expression will be performed using a multiplicity of techniques
which focus on DNA, RNA and proteins produced by the various cells comprising atrial tissue.
Expression of a variety of genes known to be important in other cardiac diseases will be
analyzed. In addition, expression of novel genes previously not known to be relevant to
heart disease may be examined.
Tissue assessment data will be correlated with clinical data including preoperative AF
history, demographic information, features of the medical history, details of cardiac
structure/function (obtained by examining preoperative tests performed for standard
indications), and the incidence of postoperative AF as a first arrhythmia diagnosis.
;
Observational Model: Case-Only, Time Perspective: Cross-Sectional
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