摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-心脏病和糖尿病的新研究-心房颤动是一篇报道的主题。根据NewsRx编辑在西班牙巴伦西亚发表的新闻报道，研究表明：“口服抗凝剂(OAC)是房颤(AF)血栓预防的关键，但西班牙有大量真实证据。我们旨在利用自然语言处理(NLP)和机器学习(ML)分析房颤患者发生OAC的流行率、临床特征和治疗模式。”我们的新闻记者从Hospital Arnau de V Ilanova获得了一篇来自Hospital Arnau de V Ilanova(2014-2020)的研究文章，“这项回顾性研究包括15例西班牙医院(2014-2020)接受OAC治疗的房颤患者。使用EHREAD®(包括NLP和ML)和SNOMED_CT，我们从电子健康记录中提取并分析AF患病率为1.9%～2.9%,共纳入57190例接受OAC治疗的患者,80.7%接受维生素K拮抗剂(VKA)治疗,19.3%直接作用OAC(DOAC)治疗,中位年龄分别为7.8岁和76岁,男性占53%,合并症如高血压(76.3%)、糖尿病(48.0%)、心力衰竭(42.2%)和肾脏疾病(18.7%)。在VKA转换为DOAC的患者中,AP Ixaban的选择最多(35.2%)。利用NLP和ML提取RWD,我们建立了迄今为止最全面的西班牙O AC房颤患者队列。分析显示AF患病率较高,AP Ixaban的发生率较高(58.6%~70.2%)。"病人的复杂性,以及VKA比DOAC更偏好."
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Heart Disorders and Di seases - Atrial Fibrillation is the subject of a report. According to news repor ting out of Valencia, Spain, by NewsRx editors, research stated, "Oral anticoagu lation (OAC) is key in atrial fibrillation (AF) thromboprophylaxis, but Spain la cks substantial real-world evidence. We aimed to analyze the prevalence, clinica l characteristics, and treatment patterns among patients with AF undertaking OAC , using natural language processing (NLP) and machine learning (ML)." Our news journalists obtained a quote from the research from Hospital Arnau de V ilanova, "This retrospective study included AF patients on OAC from 15 Spanish h ospitals (2014-2020). Using EHRead®(including NLP and ML), and SNOMED_ CT, we extracted and analyzed patient demographics, comorbidities, and OAC treat ment from electronic health records. AF prevalence was estimated, and a descript ive analysis was conducted. Among 4,664,224 patients in our cohort, AF prevalenc e ranged from 1.9% to 2.9%. A total of 57,190 patient s on OAC therapy were included, 80.7% receiving Vitamin K antagoni sts (VKA) and 19.3% Direct-acting OAC (DOAC). The median age was 7 8 and 76 years respectively, with males constituting 53% of the co hort. Comorbidities like hypertension (76.3%), diabetes (48.0% ), heart failure (42.2%), and renal disease (18.7%) we re common, and more frequent in VKA users. Over 50% had a high CHA 2DS2-VASc score. The most frequent treatment switch was from DOAC to acenocoumar ol (58.6% to 70.2%). In switches from VKA to DOAC, ap ixaban was the most chosen (35.2%). Utilizing NLP and ML to extract RWD, we established the most comprehensive Spanish cohort of AF patients with O AC to date. Analysis revealed a high AF prevalence, patient complexity, and a ma rked VKA preference over DOAC."
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