ORIGINAL RESEARCH article
Front. Neurol.
Sec. Neurocritical and Neurohospitalist Care
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1562963
This article is part of the Research TopicPrecision Medicine in Neurocritical CareView all 6 articles
Construction of an early warning model for venous thromboembolism risk in patients with severe cerebral haemorrhage based on ultrasound spontaneous imaging
Provisionally accepted
- Liangjiang Hospital affiliated to Chongqing Medical University, Chongqing, China
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Objective: To investigate the role of ultrasound spontaneous echo contrast (SEC) in venous thromboembolism (VTE) in patients with severe spontaneous cerebral haemorrhage (ICH) and to construct a clinical prediction model.METHODS: A total of 69 critically ill ICH patients admitted to the Department of Critical Care Medicine of Liangjiang Hospital of Chongqing Medical University between January 2022 and March 2024 were included in the study. Datas were collected prospectively, including general information, test data, clinical outcomes, and lower limb vascular ultrasound images within 48 hours of admission. The statistical analysis was conducted using SPSS 22.0, and the model was constructed using binary logistic regression analysis. The efficacy of the model was assessed using subject operating (ROC) curves and the Hosmer-Lemeshow goodness-of-fit test.RESULTS: The SEC, Albumin and age were identified as independent risk factors for thrombosis in patients with severe ICH. The joint prediction model, constructed based on the indicators, is given by the following equation: Logit(P) = 0.477 - 0.216 * Albumin + 1.43 * SEC + 0.044 * age. The model demonstrated consistent predictive performance, exhibiting good discrimination (AUC=0.900) and calibration (Hosmer-Lemeshow χ2 =5.231, P=0.733>0.05).CONCLUSION: The ICH-VTE early warning model constructed on the basis of SEC, Albumin and age performs well and helps clinicians to dynamically assess the risk of VTE to determine the timing of anticoagulation, which provides therapeutic ideas to reduce the incidence of VTE and improve the clinical outcome of ICH.
Keywords: ultrasound spontaneous echo contrast, Spontaneous cerebral haemorrhage, Venous Thromboembolism, Warning model, albumin
Received: 18 Jan 2025; Accepted: 21 May 2025.
Copyright: © 2025 Ma, Chen, Wang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xi Chen, Liangjiang Hospital affiliated to Chongqing Medical University, Chongqing, China
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