ArticleScientific reports2026
Ischemic stroke prediction model of sick sinus syndrome patients without atrial fibrillation: insights from atrial myopathy.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Sick Sinus Syndrome (SSS) has been identified as a risk factor for ischemic stroke. Thrombus assessment in SSS patients without atrial fibrillation (AF) or atrial flutter (AFL) remains underexplored. We aims to develop a predictive model for ischemic stroke risk specifically in SSS patients without AF/AFL. Patients diagnosed with SSS and without AF/AFL were consecutively enrolled from single center. Incident AF/AFL cases were excluded during follow-up period. Symptomatic ischemic stroke was confirmed by reviewing the all available medical records. After a median follow-up of 1215 days, 187 out of 1645 (11.9%) patients experienced symptomatic ischemic stroke. Key predictors identified via multivariable Cox regression included age, left atrial diameter (LAD), prolonged P-wave duration (PWD), neutrophil-lymphocyte ratio (NLR), non-AF atrial tachyarrhythmias, and prior thrombotic events. These variables were incorporated into our nomogram prediction model, which demonstrated superior calibration and performance compared to the CHA2DS2-VASc score. The incidence of new-onset ischemic stroke in SSS patients is notably high, warranting focused attention in clinical practice. We developed the model evaluate the risk for ischemic stroke of SSS patients without AF/AFL and internally validated. This risk score performs better than CHA2DS2-VASC score and may providing evidence of thrombus assessment in patients with atrial myopathy.
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