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Risk analysis of new oral anticoagulants for gastrointestinal bleeding and intracranial hemorrhage in atrial fibrillation patients: a systematic review and network meta-analysis

机译:心房颤动患者新型口服抗凝药治疗胃肠道出血和颅内出血的风险分析:系统评价和网络荟萃分析

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摘要

Background: Antithrombotic therapy using new oral anticoagulants (NOACs) in patients with atrial fibrillation (AF) has been generally shown to have a favorable risk-benefit profile. Since there has been dispute about the risks of gastrointestinal bleeding (GIB) and intracranial hemorrhage (ICH), we sought to conduct a systematic review and network meta-analysis using Bayesian inference to analyze the risks of GIB and ICH in AF patients taking NOACs. Methods: We analyzed data from 20 randomized controlled trials of 91 671 AF patients receiving anticoagulants, antiplatelet drugs, or placebo. Bayesian network meta-analysis of two different evidence networks was performed using a binomial likelihood model, based on a network in which different agents (and doses) were treated as separate nodes. Odds ratios (ORs) and 95% confidence intervals (CIs) were modeled using Markov chain Monte Carlo methods. Results: Indirect comparisons with the Bayesian model confirmed that aspirin+clopidogrel significantly increased the risk of GIB in AF patients compared to the placebo (OR 0.33, 95% CI 0.01–0.92). Warfarin was identified as greatly increasing the risk of ICH compared to edoxaban 30 mg (OR 3.42, 95% CI 1.22–7.24) and dabigatran 110 mg (OR 3.56, 95% CI 1.10–8.45). We further ranked the NOACs for the lowest risk of GIB (apixaban 5 mg) and ICH (apixaban 5 mg, dabigatran 110 mg, and edoxaban 30 mg). Conclusions: Bayesian network meta-analysis of treatment of non-valvular AF patients with anticoagulants suggested that NOACs do not increase risks of GIB and/or ICH, compared to each other.
机译:背景:对于房颤(AF)的患者,使用新型口服抗凝剂(NOAC)进行抗血栓治疗已被证明具有良好的风险获益特征。由于对于胃肠道出血(GIB)和颅内出血(ICH)的风险存在争议,我们寻求采用贝叶斯推断进行系统的回顾和网络荟萃分析,以分析服用NOAC的AF患者中GIB和ICH的风险。方法:我们分析了91 671名接受抗凝剂,抗血小板药物或安慰剂的AF患者的20项随机对照试验的数据。使用二项式似然模型对两个不同证据网络进行贝叶斯网络荟萃分析,该模型基于将不同代理(和剂量​​)视为独立节点的网络。使用马尔可夫链蒙特卡洛方法对赔率(OR)和95%置信区间(CI)进行建模。结果:与贝叶斯模型的间接比较证实,与安慰剂相比,阿司匹林+氯吡格雷显着增加了房颤患者发生GIB的风险(OR 0.33,95%CI 0.01-0.92)。与edoxaban 30 mg(OR 3.42,95%CI 1.22–7.24)和dabigatran 110 mg(OR 3.56,95%CI 1.10–8.45)相比,华法林被认为可大大增加ICH的风险。我们进一步将NOAC排在GIB(阿哌沙班5毫克)和ICH(阿哌沙班5毫克,达比加群110毫克和依多沙班30毫克)风险最低的位置。结论:贝叶斯网络荟萃分析对非瓣膜性房颤患者进行抗凝治疗的结果表明,与彼此相比,NOACs不会增加GIB和/或ICH的风险。

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