Why the study?
Atrial fibrillation is a major risk factor for stroke and silent brain infarcts, but whether a multimodal approach adds predictive value to the CHA2DS2-VASc score was unknown.
Does a multimodal prediction model incorporating biomarkers and MRI variables improve prediction of stroke or new brain infarcts compared to the CHA2DS2-VASc score in patients with atrial fibrillation?
Does a multimodal prediction model incorporating biomarkers and MRI variables improve prediction of stroke or new brain infarcts compared to the CHA2DS2-VASc score in patients with atrial fibrillation?
A multimodal prediction model incorporating baseline MRI white matter lesion volume and blood biomarkers significantly improves the prediction of overt and covert stroke in atrial fibrillation patients compared to the standard CHA2DS2-VASc score.
May improve AF stroke risk stratification; hypothesis-generating and requires prospective validation before practice change.
BACKGROUND: Atrial fibrillation is a major risk factor for stroke and silent brain infarcts. We studied whether a multimodal approach offers additional insights to the CHA 2 DS 2 -VASc score in predicting stroke or new brain infarcts on magnetic resonance imaging (MRI) over a 2-year follow-up. METHODS: Swiss-AF is a prospective, multicenter cohort study of patients with known atrial fibrillation. We included patients with available brain MRI both at enrollment and 2 years later. The dates of the baseline and follow-up visits ranged from March 2014 to November 2020. The primary outcome was assessed 2 years after baseline and was defined as a composite of clinically identified stroke or any new brain infarct on the 2-year MRI. We compared a multivariable logistic regression model including prespecified clinical, biomarker, and baseline MRI variables to the CHA 2 DS 2 -VASc score. RESULTS: We included 1232 patients, 89.8% of them taking oral anticoagulants. The primary outcome occurred in 78 patients (6.3%). The following baseline variables were included in the final multivariate model and were significantly associated with the primary outcome: white matter lesion volume in milliliters (adjusted odds ratio [aOR], 1.91 [95% CI, 1.45–2.56]), NT-proBNP (N-terminal pro-B-type natriuretic peptide; aOR, 1.75 [95% CI, 1.20–2.63]), GDF-15 (growth differentiation factor-15; aOR, 1.68 [95% CI, 1.11–2.53]), serum creatinine (aOR, 1.50 [95% CI, 1.02–2.22]), IL (interleukin)-6 (aOR, 1.37 [95% CI, 1.00–1.86]), and hFABP (heart-type fatty acid–binding protein; aOR, 0.48 [95% CI, 0.31–0.73]). Overall performance and discrimination of the new model was superior to that of the CHA 2 DS 2 -VASc score (C statistic, 0.82 [95% CI, 0.77–0.87] versus 0.64 [95% CI, 0.58–0.70]). CONCLUSIONS: In patients with atrial fibrillation, a model incorporating white matter lesion volume on baseline MRI and selected blood markers yielded new insights on residual stroke risk despite a high proportion of patients on oral anticoagulants. This may be relevant to develop further preventive measures.
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Marchis et al. (2023) studied this question.
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