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A Nomogram for Predicting the Risk of Deep Vein Thrombosis in Patients With Acute Ischemic Stroke During the COVID-19
Angiology ( IF 2.8 ) Pub Date : 2024-03-27 , DOI: 10.1177/00033197241241790
Jie Zhang 1 , Shurui Zhang 2 , Ge Song 1 , Shimeng Zhuang 3 , Hua Li 4 , Lisi An 5 , Yan Meng 1 , Jiayu Fan 1 , Lijuan Wang 1
Affiliation  

Deep vein thrombosis (DVT) is an important complication of stroke. As coronavirus disease 2019 (COVID-19) enters the stage of persistent and long-term management, the clinical management of DVT in stroke patients may require adjustment. The present study evaluated whether there was an increased risk of DVT in stroke patients during the COVID-19 period. Furthermore, we analyzed the possible risk factors and developed an easy-to-use nomogram to predict DVT in stroke patients during the long-term management of COVID-19. A total of 7087 stroke patients during the COVID-19 period and 14,174 patients with age, sex, and National Institutes of Health Stroke Scale (NIHSS) scores matched before the period from four centers were included. The incidence of DVT in stroke patients during the COVID-19 period (20.5%) was significantly higher than that before this period (15.9%, P < .001). Age, body mass index, smoking, D-dimer, physical activity level, NIHSS score, and intermittent pneumatic compression were significant predictors of DVT during the COVID-19 period ( P < .05). A nomogram was constructed; internal and external validations showed high accuracy, and decision curve analysis showed excellent clinical applicability. This nomogram could evaluate the risk of DVT after stroke and assist in its early prevention during the long-term management of COVID-19.

中文翻译:

用于预测 COVID-19 期间急性缺血性中风患者深静脉血栓形成风险的列线图

深静脉血栓(DVT)是中风的重要并发症。随着2019冠状病毒病(COVID-19)进入持续和长期管理阶段,中风患者DVT的临床管理可能需要调整。本研究评估了 COVID-19 期间中风患者发生 DVT 的风险是否增加。此外,我们分析了可能的危险因素,并开发了一种易于使用的列线图来预测中风患者在长期治疗 COVID-19 期间的 DVT。共纳入了来自四个中心的 7087 名 COVID-19 期间中风患者以及 14,174 名年龄、性别和美国国立卫生研究院中风量表 (NIHSS) 评分在此期间之前匹配的患者。 COVID-19期间脑卒中患者DVT的发生率(20.5%)显着高于该时期之前(15.9%,P < .001)。年龄、体重指数、吸烟、D-二聚体、体力活动水平、NIHSS 评分和间歇性充气加压是 COVID-19 期间 DVT 的显着预测因素 ( P < .05)。构建列线图;内部和外部验证显示出较高的准确性,决策曲线分析显示出良好的临床适用性。该列线图可以评估中风后 DVT 的风险,并有助于在 COVID-19 的长期管理过程中进行早期预防。
更新日期:2024-03-27
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