Skip to content

Tissue, Blood and Biomarkers to Predict Future Atrial Fibrillation

PREventive Left Atrial appenDage Resection for predICtion of fuTure Atrial Fibrillation

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03130985
Acronym
PREDICT-AF
Enrollment
150
Registered
2017-04-27
Start date
2015-05-12
Completion date
2020-09-30
Last updated
2020-11-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atrial Fibrillation

Keywords

microRNA, biomarker

Brief summary

Patients undergoing coronary artery bypass grafting (CABG), aortic (valve) or mitral valve surgery are at risk of developing postoperative and new-onset atrial fibrillation (AF), but adequate risk prediction is currently impossible. This study aims to discover tissue and circulating microRNAs and protein biomarkers that may help to unravel the pathophysiological processes underlying AF and are potential tools for risk stratification and prognosis or may become future targets of therapy. This study will be a single-center cohort study of 150 patients undergoing cardiac surgery, which will constitute the beginning of the follow-up period. Left atrial appendages, whole blood and epicardial mappings will be collected. Patients will be followed for 2 years with regular holter investigations to detect postoperative and new-onset AF.

Detailed description

Study procedures: The left atrial appendage (LAA) will be removed for research and intended prophylactic purposes, using a surgical stapler or surgical knife prior to the standard procedure. Epicardial mappings may be performed during cardiac surgery with a 48-multi-electrode. Patients will be followed with regular 24-hour Holter investigations. This study will be an exploratory study with a required inclusion of 150 patients, based on the estimated event rate. Patients will be recruited by the investigators during pre-operative assessment. Clinical data will be gathered at baseline and stored in a customized microsoft access entry database. Statistical analysis will be performed in collaboration with the Bioinformatics Laboratory from the Academic Medical Center.

Interventions

None listed

Sponsors

Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Elective sternotomy for either coronary artery bypass surgery or aortic (valve) surgery or mitral valve surgery * CHA2DS2 VASC score ≥ 2 * Sinus rhythm * Age between 18 and 80 years * Legally competent and willing and able to sign informed consent

Exclusion criteria

* Unable or unwilling to comply with study procedures * Documented or reported history of atrial fibrillation, atrial flutter (duration \> 5 minutes) or ventricular tachycardia * Emergency or redo of CABG * Emergency valvular surgery or pericarditis or endocarditis * NYHA class IV heart failure symptoms or left ventricular ejection fraction \< 35% * Pregnancy or of childbearing potential without adequate contraception * History of previous radiation therapy of the thorax * Active malignancy * Active inflammtion or auto-immune disease * Surgery for congenital anomalies * Circumstances that prevent follow-up (no permanent home or address, transient, etc.)

Design outcomes

Primary

MeasureTime frameDescription
incident Atrial Fibrillationwithin 2 years after surgeryA de novo 30 second continuous rhythm registration of AF, or an ECG recording of an AF episode within 2 years after surgery (with a blanking period for the postoperative period \<30 days).
Postoperative Atrial Fibrillationwithin the first 30 days after surgeryA 30 second continuous rhythm registration of AF, or an ECG recording of an AF episode in the first 30 days following cardiac surgery or registered at the first 24h Holter monitoring if scheduled within 6 weeks following cardiac surgery.

Secondary

MeasureTime frameDescription
Quality of Life defined by 36-Item Short Form Health Survey questionnaireat 6 months and 1 year follow-upThe quality of life is measured by 36-Item Short Form Health Survey questionnaires.

Countries

Netherlands

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 22, 2026