%0期刊文章%@ 1438- 8871% I JMIR出版物%V 24卡塔尔世界杯8强波胆分析% N 10% P e35860% T通过异质患者数据描述与COVID-19相关的血栓并发症危险因素:回顾性观察研究%A Rosario,Bedda %A Zhang,Andrew %A Patel,Mehool %A Rajmane,Amol %A Xie,Ning %A Weeraratne,Dilhan %A Alterovitz,Gil +生物医学控制学实验室,布里格姆和妇女医院,弗朗西斯街75号,马萨诸塞州波士顿,02115,美国,1 617 329 1445,ga@alum.mit.edu %K COVID-19 %K血栓并发症%K logistic回归%K EHR %K电子健康记录%K保险索赔数据%D 2022 %7 21.10.2022 %9原始论文%J J医学互联网Res %G英文%X背景:COVID-19已被观察到与静脉和动脉血栓形成相关。炎症性疾病延长了住院时间,先前存在的合并症可加重COVID-19患者的血栓负担。然而,静脉血栓栓塞、动脉血栓形成和其他血管并发症可能在重症监护环境中被忽视。在COVID-19患者群体中,早期风险分层对于主动监测血栓并发症至关重要。目的:本探索性研究的目的是利用电子健康记录(EHR)和保险理赔数据库的信息,描述与COVID-19相关的血栓并发症风险因素。目标是开发一种分析方法,使用现实世界的数据证据,可以推广用于描述血栓并发症和其他临床环境中的其他情况,如COVID-19患者或重症监护病房中的肺炎或急性呼吸窘迫综合征。方法:我们从保险理赔数据库IBM MarketScan中提取了未识别的患者数据,并使用逻辑回归方法根据患者人口统计学和临床因素制定了COVID-19患者血栓并发症的假设。然后,通过分析来自研究患者数据注册(RPDR)布里格姆麻省总医院(MGB)患者EHR数据库的未识别患者数据来验证这些假设。 Data were analyzed according to odds ratios, 95% CIs, and P values. Results: The analysis identified significant predictors (P<.001) for thrombotic complications in 184,831 COVID-19 patients out of the millions of records from IBM MarketScan and the MGB RPDR. With respect to age groups, patients 60 years and older had higher odds (4.866 in MarketScan and 6.357 in RPDR) to have thrombotic complications than those under 60 years old. In terms of gender, men were more likely (odds ratio of 1.245 in MarketScan and 1.693 in RPDR) to have thrombotic complications than women. Among the preexisting comorbidities, patients with heart disease, cerebrovascular diseases, hypertension, and personal history of thrombosis all had significantly higher odds of developing a thrombotic complication. Cancer and obesity were also associated with odds>1. The results from RPDR validated the IBM MarketScan findings, as they were largely consistent and afford mutual enrichment. Conclusions: The analysis approach adopted in this study can work across heterogeneous databases from diverse organizations and thus facilitates collaboration. Searching through millions of patient records, the analysis helped to identify factors influencing a phenotype. Use of thrombotic complications in COVID-19 patients represents only a case study; however, the same design can be used across other disease areas by extracting corresponding disease-specific patient data from available databases. %M 36044652 %R 10.2196/35860 %U //www.mybigtv.com/2022/10/e35860 %U https://doi.org/10.2196/35860 %U http://www.ncbi.nlm.nih.gov/pubmed/36044652
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