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Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis
Conclusions Models externally validated for prediction of incident AF in community-based EHR demonstrate moderate predictive ability and high risk of bias. Novel methods may provide stronger discriminative performance. Systematic review registration PROSPERO CRD42021245093.
Source: Heart - June 10, 2022 Category: Cardiology Authors: Nadarajah, R., Alsaeed, E., Hurdus, B., Aktaa, S., Hogg, D., Bates, M. G. D., Cowan, C., Wu, J., Gale, C. P. Tags: Open access Arrhythmias and sudden death Source Type: research

Contemporary management of persistent atrial fibrillation
Learning objectives Develop a basic understanding of the underlying mechanisms of atrial fibrillation and classification of the disease. Review the main principles in contemporary management of atrial fibrillation with a focus on persistent atrial fibrillation. Discuss catheter ablation in the context of atrial fibrillation. Introduction Atrial fibrillation (AF) is a multisystemic disorder that is associated with an excess risk of stroke, heart failure and mortality.1 It remains the most common sustained arrhythmia and its significance should not be underestimated. Research focused on unveiling the mechanisms of AF began o...
Source: Heart - December 22, 2021 Category: Cardiology Authors: Gupta, D., Ding, W. Y. Tags: Education in Heart Source Type: research

Prediction of short-term atrial fibrillation risk using primary care electronic health records
Conclusions FIND-AF, a machine learning algorithm applicable at scale in routinely collected primary care data, identifies people at higher risk of short-term AF.
Source: Heart - June 26, 2023 Category: Cardiology Authors: Nadarajah, R., Wu, J., Hogg, D., Raveendra, K., Nakao, Y. M., Nakao, K., Arbel, R., Haim, M., Zahger, D., Parry, J., Bates, C., Cowan, C., Gale, C. P. Tags: Open access, Editor's choice Arrhythmias and sudden death Source Type: research