A Nomogram for Predicting the Risk of Deep Vein Thrombosis in Patients With Acute Ischemic Stroke During the COVID-19

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Angiology - (2024) vom: 26. März, Seite 33197241241790

Sprache:

Englisch

Beteiligte Personen:

Zhang, Jie [VerfasserIn]
Zhang, Shurui [VerfasserIn]
Song, Ge [VerfasserIn]
Zhuang, Shimeng [VerfasserIn]
Li, Hua [VerfasserIn]
An, Lisi [VerfasserIn]
Meng, Yan [VerfasserIn]
Fan, Jiayu [VerfasserIn]
Wang, Lijuan [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Deep vein thrombosis
Journal Article
Nomogram
Stroke

Anmerkungen:

Date Revised 27.03.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1177/00033197241241790

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370221745