Why the study?
Data are limited on the association between clinical risk factors in patients with AF, OAC treatment patterns, and major outcomes.
How do clinical risk phenotypes affect oral anticoagulant treatment patterns and the risk of major outcomes in patients with atrial fibrillation?
How do clinical risk phenotypes affect oral anticoagulant treatment patterns and the risk of major outcomes in patients with atrial fibrillation?
In patients with atrial fibrillation, complex clinical risk phenotypes are associated with lower oral anticoagulant use, higher discontinuation rates, and worse clinical outcomes.
Answers are grounded in this paper and cite their sources.
High-complexity AF phenotypes may need closer OAC monitoring; leaves open interventional studies and should not yet change practice.
Background Clinical risk factors are common among patients with atrial fibrillation (AF), but there are still limited data on their association with oral anticoagulant (OAC) treatment patterns and major outcomes. We aim to analyze the association between clinical risk phenotypes on AF treatment patterns and the risk of major outcomes. Methods and Results The GLORIA‐AF (Global Registry on Long‐Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation) phase 2 and 3 registries enrolled patients with a recent diagnosis of AF between 2011 and 2016. We defined 4 features of clinical risk among patients with CHA 2 DS 2 ‐VASc ≥2: elderly individuals (aged ≥80 years), chronic kidney disease (estimated glomerular filtration rate <45 mL/min), history of stroke, and history of bleeding. We analyzed the odds of receiving OAC and the risk of OAC discontinuation and adverse events at follow‐up according to specific combinations and cumulative burden of these features. Primary outcome was the composite of all‐cause death, thromboembolism, and major bleeding. Among 28 891 (mean±SD age, 70.1±10.5 years; 45.5% women) patients included, 10 797 (37.3%) had at least 1 clinical risk feature. OAC use was lower among patients in the elderly group (odds ratio [OR], 0.85 [95% CI, 0.75–0.96]), those with history of both stroke and bleeding (OR, 0.45 [95% CI, 0.35–0.56]), and those with multiple features (OR, 0.71 [95% CI, 0.62–0.82]). Increasing burden of clinical risk features was associated with OAC discontinuation, with highest magnitude in those with ≥3 features (hazard ratio [HR], 1.68 [95% CI, 1.31–2.15]). Groups with increasingly complex clinical risk phenotypes were associated with the occurrence of the primary composite outcome, with the highest figures observed for groups with a history of both stroke and bleeding (adjusted HR, 2.36 [95% CI, 1.83–3.04]) and multiple features (adjusted HR, 2.86 [95% CI, 2.52–3.25]). Conclusions In patients with AF, clinical risk phenotypes are multifaceted and heterogenous, and they are associated with differences in stroke prevention and worse prognosis.
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Romiti et al. (2023) studied this question.
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