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首页> 外文期刊>Clinical cardiology. >Use of neutrophil‐lymphocyte ratio for risk stratification and relationship with time in therapeutic range in patients with nonvalvular atrial fibrillation: A pilot study
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Use of neutrophil‐lymphocyte ratio for risk stratification and relationship with time in therapeutic range in patients with nonvalvular atrial fibrillation: A pilot study

机译:非瓣膜性心房颤动患者中性粒细胞与淋巴细胞比例在治疗范围内的风险分层及其与时间的关系:一项先导研究

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Background Atrial fibrillation is one of the most common abnormal heart rhythms. Neutrophil‐lymphocyte ratio (NLR) has emerged as a potential marker for the level of inflammation in cardiac disorders. Hypothesis NLR might be associated with thrombosis and bleeding risk scores and might predict cardioembolic risk in nonvalvular atrial fibrillation (NVAF) patients within the therapeutic international normalized ratio (INR). Methods We enrolled 272 patients taking warfarin for NVAF and classified them into 2 groups: Group A consisted of patients (n?=?132) whose time in therapeutic range (TTR) was ≥65%, and Group B comprised patients (n?=?139) whose TTR was Results NLR values were higher in group B than in group A ( P 2DS2‐VASc score had significantly higher NLR levels ( P =?0.002) than those classified as low and intermediate risk. Furthermore, NLR levels were significantly correlated with CHA2DS2‐VASc and HAS‐BLED scores ( P Conclusions To our knowledge, this is the first study showing correlation of NLR with both CHA2DS2‐VASc and HAS‐BLED risk scores. NLR might represent a useful marker to identify patients with high risks of stroke and bleeding and may have predictive value in identifying patients within the therapeutic INR range.
机译:背景心房颤动是最常见的异常心律之一。中性粒细胞-淋巴细胞比率(NLR)已成为心脏病中炎症水平的潜在标志。假设NLR可能与血栓形成和出血风险评分有关,并可能在国际标准化治疗比(INR)范围内预测非瓣膜性房颤(NVAF)患者的心脏栓塞风险。方法我们招募了272名服用华法林进行NVAF的患者,并将其分为2组:A组由治疗范围(TTR)≥65%的患者(n = 132)组成,B组由n =结果显示,B组的NLR值高于A组(P 2 DS 2 -VASc评分的NLR水平明显高于A组(P = 0.002))。 NLR水平与CHA 2 DS 2 -VASc和HAS-BLED得分显着相关(P结论据我们所知,这是首次研究表明NLR与CHA 2 DS 2 -VASc和HAS-BLED风险评分均相关,NLR可能是鉴别中风和卒中高风险患者的有用标志出血,在识别INR治疗范围内的患者中可能具有预测价值。

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