Key result
Systematic community screening identifies previously undiagnosed atrial fibrillation in 0.5-3.0% of screened individuals, though improved automated diagnostic algorithms are needed for cost-efficiency.
Why the study?
Does systematic community screening identify previously undiagnosed atrial fibrillation in the general population?
Does systematic community screening identify previously undiagnosed atrial fibrillation in the general population?
Systematic community screening can identify undiagnosed AF in 0.5-3.0% of individuals, but requires structured management pathways and improved diagnostic algorithms to be cost-effective.
Supports targeted screening evaluation in select groups; leaves open optimal algorithms and cost-effectiveness for wider use.
With an ageing population globally, the burden of atrial fibrillation (AF) and its consequent complication of stroke and risk of mortality will continue to increase. Although opportunistic screening for AF by pulse check or ECG rhythm strip for people >65 years of age is currently recommended, data are now emerging that demonstrate the possible benefits of systematic community screening. Such screening is capable of identifying previously undiagnosed AF in 0.5-3.0 % of all those screened. The effectiveness of screening programmes will be markedly weakened by the lack of a structured downstream management pathway, making it a mandatory component in any AF screening programme for the general population. Different tools, especially smartphone-based devices, have made AF screening in the community more feasible. However, the sensitivities and positive predictive values of the current versions of automated diagnostic algorithms for AF have to be improved further to increase the cost-efficiency of screening programmes.
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Ngai‐Yin Chan (2018) conducted a review in Atrial fibrillation. Systematic community screening was evaluated on Identification of previously undiagnosed atrial fibrillation. Systematic community screening identifies previously undiagnosed atrial fibrillation in 0.5-3.0% of screened individuals, though improved automated diagnostic algorithms are needed for cost-efficiency.
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