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A Novel Risk Score to Predict Deep Vein Thrombosis After Spontaneous Intracerebral Hemorrhage

28 Pages Posted: 12 May 2021

See all articles by Ruijun Ji

Ruijun Ji

Capital Medical University - Department of Neurology

Linlin Wang

Capital Medical University - Department of Neurology

Xinyu Liu

Capital Medical University - Department of Neurology

Yanfang Liu

Capital Medical University - Department of Neurology

Dandan Wang

Capital Medical University - Department of Neurology

Wenjuan Wang

Capital Medical University - Department of Neurology

Runhua Zhang

Capital Medical University - China National Clinical Research Center for Neurological Diseases

Ruixuan Jiang

Capital Medical University - Department of Neurology

Jiaokun Jia

Capital Medical University - Department of Neurology

Hao Feng

Capital Medical University - Department of Neurology

Zeyu Ding

Capital Medical University - Department of Neurology

Yi Ju

Capital Medical University - Department of Neurology

Jingjing Lu

Capital Medical University - Department of Neurology

Gaifen Liu

Capital Medical University - China National Clinical Research Center for Neurological Diseases

Yongjun Wang

Capital Medical University - Department of Neurology

Xingquan Zhao

Capital Medical University - Department of Neurology; Capital Medical University - China National Clinical Research Center for Neurological Diseases; Capital Medical University, Beijing Institute for Brain Disorders, Center of Stroke; Capital Medical University - Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease

Beijing Registration of Intracerebral Hemorrhage Investigators Group

Independent

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Abstract

Background: Studies showed that patients with hemorrhagic stroke are at higher risk of developing deep vein thrombosis (DVT) than those with ischemic stroke. We aimed to develop a risk score (intracerebral hemorrhage associated deep vein thrombosis score, ICH-DVT) for predicting in-hospital DVT after ICH.

Methods: The ICH-DVT was developed based on the Beijing Registration of Intracerebral Hemorrhage, in which eligible patients were randomly divided into derivation (60%) and internal validation cohort (40%). External validation was performed using the iMCAS study (In-hospital Medical Complication after Acute Stroke). Independent predictors of in-hospital DVT after ICH were obtained using multivariable logistic regression and β-coefficients were used to generate scoring system of the ICH-DVT. The area under the receiver operating characteristic curve (AUROC) and the Hosmer-Lemeshow goodness-of-fit test was used to assess model discrimination and calibration.

Findings: The overall in-hospital DVT after ICH was 6.3%,6.0%, and 5.7% in the derivation (n=1309), internal (n=655) and external (n=314) validation cohorts, respectively. A 31-point ICH-DVT was developed from the set of independent predictors including age, hematoma volume, subarachnoid extension, pneumonia, gastrointestinal bleeding and length of hospitalization. The ICH-DVT showed good discrimination (AUROC) in the derivation (0.81; 95%CI=0.79-0.83), internal (0.83, 95%CI=0.80-0.86) and external (0.88; 95%CI=0.84-0.92) validation cohorts. The ICH-DVT was well calibrated (Hosmer-Lemeshow test) in the derivation (P=0.53), internal (P=0.38) and external (P=0.06) validation cohorts.

Interpretation: The ICH-DVT is a valid grading scale for predicting in-hospital DVT after ICH. Further studies on effect of the ICH-DVT on clinical outcomes after ICH are warranted.

Funding Information: This study was sponsored by Capital health research and development of special (2011-2004-03) and Beijing Municipal Science & Technology Commission (Z131107002213009). This study was partially supported by the Nova Program of Beijing Science and Technology Commission (2008B30), National Natural Science Foundation of China (81471208, 81641162), Beijing highlevel healthy human resource project (014-3-033) and Shandong Province Key Innovation Project (2019JZZY020901).

Declaration of Interests: All authors report no disclosures.

Ethics Approval Statement: The study protocol was approved by the Institutional Review Board (IRB) of the Beijing Tiantan Hospital (KY2014-023-02). The iMCAS was approved by the ethics committee of Beijing Tiantan hospital. For the present study, only patients with ICH were included.

Suggested Citation

Ji, Ruijun and Wang, Linlin and Liu, Xinyu and Liu, Yanfang and Wang, Dandan and Wang, Wenjuan and Zhang, Runhua and Jiang, Ruixuan and Jia, Jiaokun and Feng, Hao and Ding, Zeyu and Ju, Yi and Lu, Jingjing and Liu, Gaifen and Wang, Yongjun and Zhao, Xingquan and Group, Beijing Registration of Intracerebral Hemorrhage Investigators, A Novel Risk Score to Predict Deep Vein Thrombosis After Spontaneous Intracerebral Hemorrhage. Available at SSRN: https://ssrn.com/abstract=3844814 or http://dx.doi.org/10.2139/ssrn.3844814

Ruijun Ji

Capital Medical University - Department of Neurology ( email )

China

Linlin Wang

Capital Medical University - Department of Neurology

China

Xinyu Liu

Capital Medical University - Department of Neurology

China

Yanfang Liu

Capital Medical University - Department of Neurology

China

Dandan Wang

Capital Medical University - Department of Neurology

China

Wenjuan Wang

Capital Medical University - Department of Neurology

China

Runhua Zhang

Capital Medical University - China National Clinical Research Center for Neurological Diseases

China

Ruixuan Jiang

Capital Medical University - Department of Neurology ( email )

China

Jiaokun Jia

Capital Medical University - Department of Neurology ( email )

China

Hao Feng

Capital Medical University - Department of Neurology

China

Zeyu Ding

Capital Medical University - Department of Neurology ( email )

China

Yi Ju

Capital Medical University - Department of Neurology ( email )

China

Jingjing Lu

Capital Medical University - Department of Neurology

China

Gaifen Liu

Capital Medical University - China National Clinical Research Center for Neurological Diseases

China

Yongjun Wang

Capital Medical University - Department of Neurology ( email )

No. 119 South 4th Ring West Road
Fengtai District
Beijing, 100070
China
0086-010-67098350 (Phone)

Xingquan Zhao (Contact Author)

Capital Medical University - Department of Neurology

China

Capital Medical University - China National Clinical Research Center for Neurological Diseases

China

Capital Medical University, Beijing Institute for Brain Disorders, Center of Stroke

China

Capital Medical University - Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease

China

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