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A Novel Risk Score to Predict New Onset Atrial Fibrillation in Patients Undergoing Isolated Coronary Artery Bypass Grafting

机译:一种新的风险评分,以预测孤立冠状动脉旁路嫁接患者患者的新发起心房颤动

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Background: Atrial fibrillation (AF) is common after cardiac surgery and contributes to increased morbidity and mortality. Our objective was to derive and validate a predictive model for AF after CABG in patients, incorporating novel echocardiographic and laboratory values.Methods: We retrospectively reviewed patients at our institution without preexisting dysrhythmia who underwent on-pump, isolated CABG from 2011-2015. The primary outcome was new onset AF lasting >1 hour on continuous telemetry or requiring medical treatment. Patients with a preoperative echocardiographic measurement of left atrial diameter were included in a risk model, and were randomly divided into derivation (80%) and validation (20%) cohorts. The predictors of AF after CABG (PAFAC) score was derived from a multivariable logistic regression model by multiplying the adjusted odds ratios of significant risk factors (P < .05) by a factor of 4 to derive an integer point system.
机译:背景:心房手术后心房颤动(AF)是常见的,有助于增加发病率和死亡率。 我们的目标是在患者中获得和验证AF的预测模型,纳入新的超声心动图和实验室值。方法:我们回顾性地审查了我们的机构的患者,而不会预先存在于2011-2015的泵浦孤立的CABG患者。 主要的结果是新的发作AF持续>在连续遥测或需要医疗时1小时。 左侧心房直径术前超声心动图测量的患者包括在风险模型中,随机分为衍生(80%)和验证(20%)队列。 CABG(PAFAC)评分之后的AF的预测器通过将显着的风险因素(P <.05)的调整后的大量比率乘以4倍以导出整数点系统来源于多变量的逻辑回归模型。

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