ArticleFrontiers in neuroscience2026
Development and validation of a new nomogram model for predicting acute ischemic stroke in patients with non-valvular atrial fibrillation.
Article in Frontiers in neuroscience, 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
Background and objectives: Non-valvular atrial fibrillation (NVAF) significantly increases the risk of acute ischemic stroke (AIS). Current risk prediction models have limitations in comprehensively capturing the multidimensional factors contributing to stroke risk. This study aimed to establish a novel nomogram model for predicting AIS in NVAF patients by integrating comprehensive parameters including clinical characteristics, cardiac anatomical features, functional indices, electrophysiological patterns, hemodynamic parameters, and serum biomarkers. Methods: We conducted a retrospective study of 415 NVAF patients from Northern Jiangsu People's Hospital. After applying inclusion and exclusion criteria, 374 patients (193 with AIS) were randomized into 7:3 training/testing cohorts. Variables with Results: Eight variables were identified as independent predictors of AIS in NVAF patients: age, admission systolic blood pressure (SBP), history of stroke, anticoagulant therapy, left atrial diameter (LAD), left atrial appendage (LAA) filling defect, white blood cell count (WBC), and D-dimer levels (all Conclusion: The developed nomogram model, which integrates clinical, anatomical, functional, and laboratory parameters, demonstrates superior prediction performance compared to the conventional CHA
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