KMID : 1011920200210010010
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International Journal of Arrhythmia 2020 Volume.21 No. 1 p.10 ~ p.10
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Prognostic value of routine blood tests along with clinical risk factors in predicting ischemic stroke in non-valvular atrial fibrillation: a prospective cohort study
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Yang Seok-Hun
Cha Myung-Jin Kwak Soon-Gu Kwon Soon-Il Lee Seo-Young Park Jie-Suck Choi You-Jung Moon In-Ki Lee Eui-Jae Lee So-Ryoung Choi Eue-Keun Oh Se-Il
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Abstract
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Background: In patients with atrial fibrillation (AF), most biomarkers are still of limited use due to cost-effectiveness and complexity in clinical practice.
Hypotheses: Biomarkers from routine blood tests improve the current risk stratification in AF patients.
Methods: This prospective study enrolled 600 patients diagnosed with non-valvular AF, of whom 537 were analyzed. Platelet count; platelet distribution width (PDW); red cell distribution width (RDW); and creatinine, D-dimer, and troponin I levels were measured at enrollment.
Results: During the mean follow-up period (2.2?¡¾?0.6 years), 1.9% patients developed ischemic stroke. According to the optimal cutoff of each biomarker, the risk of ischemic stroke was higher in patients with RDW?¡Ã?13.5%, creatinine?¡Ã?1.11 mg/dL, or PDW?¡Ã?13.2% (significant biomarkers; P value:?0.01, 0.04, or 0.07, respectively). These 3 significant biomarkers had higher information gain than clinical risk factors in predicting ischemic stroke. The cumulative incidence of ischemic stroke was 1.2%, 1.1%, 8.4%, and 40.0% in patients with 0, 1, 2, and 3 significant biomarkers, respectively (P-for-trend?0.001). Patients with ?¡Ã?2 significant biomarkers had a significantly higher risk of ischemic stroke than those with ?2 significant biomarkers (adjusted hazard ratio 11.5, 95% confidence interval 3.3?40.2, P?0.001). The predictability for ischemic stroke was significantly improved when ?¡Ã?2 significant biomarkers were added to the CHA2DS2?VASc score (area under the curve 0.790 vs. 0.620, P?=?0.043).
Conclusion: Routine blood tests can provide better risk stratification of AF along with clinical risk factors.
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KEYWORD
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Atrial fibrillation, Biomarkers, Stroke, Thromboembolism
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