Population-based Atrial Fibrillation Screening in Individuals With NT-proBNP Above Median in the Tromsø Study

Overview

The aim is to investigate whether screening with long-term ECG monitoring in individuals with elevated NT-proBNP leads to a lower incidence of ischeamic stroke and death from vascular causes. The project is a sub-study within the 8th wave of the population based Tromsø Study. Information on previous diseases, medication use, and risk factors is collected through questionnaires, blood samples, and measurements of height, weight, blood pressure, and ECG. A total of 4,000 individuals with NT-proBNP levels above the median, without previously known atrial fibrillation (AF) or ongoing anticoagulation therapy, will be randomized to either long-term heart rhythm monitoring (7 days) or a control group without long-term ECG monitoring (2,000 in each group). Individuals with AF in the intervention group will be offered anticoagulation therapy in accordance with current guidelines. The intervention group and the control group will be compared with regards to incident stroke and death within a 6-year follow-up period. Information on endpoints and anticoagulation use will be obtained through linkage to national registries.

This project has the potential for providing new knowledge related to the benefit of a stepwise screening approach for AF according to NT-proBNP level, utilizing a novel patch monitor with continuous ECG monitoring and automatic artificial intelligence based (AI) ECG analysis. The present project is planned as a sub-study of the epidemiological population-based Tromsø Study. In a randomized controlled clinical trial, we plan to test the primary hypothesis that in individuals with elevated NT-ProBNP who are diagnosed with AF through long-term ECG monitoring, anticoagulation treatment according to international guidelines will reduce the incidence of incident ischeamic stroke and cardiovascular death in the screening group compared to individuals who do not undergo screening (control group). The study will be performed within a well-defined cohort with extensive available longitudinal and cross-sectional information on risk factors and co-existing conditions. This setup facilitates addressing several knowledge gaps concerning risk stratification including associations between AF and echocardiographic parameters, cognitive impairment, structural changes on brain MRI, and HRQoL.