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A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage

A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage

Authors :
Ruijun Ji
Linlin Wang
Xinyu Liu
Yanfang Liu
Dandan Wang
Wenjuan Wang
Runhua Zhang
Ruixuan Jiang
Jiaokun Jia
Hao Feng
Zeyu Ding
Yi Ju
Jingjing Lu
Gaifen Liu
Yongjun Wang
Xingquan Zhao
Beijing Registration of Intracerebral Hemorrhage investigators
Source :
Frontiers in Neurology, Vol 13 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

Background and purposeStudies showed that patients with hemorrhagic stroke are at a 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.MethodsThe 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 cohorts (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 a scoring system of the ICH-DVT. The area under the receiver operating characteristic curve (AUROC) and the Hosmer–Lemeshow goodness-of-fit test were used to assess model discrimination and calibration, respectively.ResultsThe overall in-hospital DVT after ICH was 6.3%, 6.0%, and 5.7% in the derivation (n = 1,309), internal validation (n = 655), and external validation (n = 314) 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 validation (0.83, 95%CI = 0.80–0.86), and external validation (0.88; 95%CI = 0.84–0.92) cohorts. The ICH-DVT was well calibrated (Hosmer–Lemeshow test) in the derivation (P = 0.53), internal validation (P = 0.38), and external validation (P = 0.06) cohorts.ConclusionThe ICH-DVT is a valid grading scale for predicting in-hospital DVT after ICH. Further studies on the effect of the ICH-DVT on clinical outcomes after ICH are warranted.

Details

Language :
English
ISSN :
16642295
Volume :
13
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.5aadc55c1cf74ddd9ed728f0dc2fb2b3
Document Type :
article
Full Text :
https://doi.org/10.3389/fneur.2022.930500