ArticleFrontiers in neurology2022
A novel risk score to predict deep vein thrombosis after spontaneous intracerebral hemorrhage.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Risk Prediction Models for Deep Vein Thrombosis in Patients With Spontaneous Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisPooled it
- Current evidence and future directions for prophylactic anticoagulation therapy after severe spontaneous intracerebral hemorrhage: a narrative review.Journal of intensive medicine · 2026Review
- The dilemma of thromboprophylaxis in stroke patients.Clinical medicine (London, England) · 2026Review
- Risk factors for deep venous thrombosis in spontaneous intracerebral hemorrhage and their long-term prognostic implications.Open medicine (Warsaw, Poland) · 2026Article
- A machine learning-based risk prediction model for Hospitalized patients with deep vein thrombosis.PeerJ · 2026Article
- The Association of the Neutrophil-to-Lymphocyte Ratio and the D-dimer-to-Albumin Ratio with Deep Vein Thrombosis in Patients with Spontaneous Intracerebral Hemorrhage.International journal of general medicine · 2026Article
- Venous Thromboembolism Prophylaxis in the Neurocritically Ill Population.Journal of clinical medicine · 2025Review
- Construction of an early warning model for venous thromboembolism risk in patients with severe cerebral hemorrhage based on ultrasound spontaneous imaging.Frontiers in neurology · 2025Article
- Development of an interpretable machine learning model for predicting venous thromboembolism in intensive care unit patients with intracerebral hemorrhage.Frontiers in neurology · 2025Article
- Implementation of early prophylaxis for deep-vein thrombosis in intracerebral hemorrhage patients: an observational study from the Chinese Stroke Center Alliance.Thrombosis journal · 2024Article
- Predictive value of Caprini risk assessment model, D-dimer, and fibrinogen levels on lower extremity deep vein thrombosis in patients with spontaneous intracerebral hemorrhage.Frontiers in neurology · 2024Article
- Prognostic nomogram for predicting lower extremity deep venous thrombosis in ruptured intracranial aneurysm patients who underwent endovascular treatment.Frontiers in neurology · 2023Article
Corrections and comments
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Authors and funding
17 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: Studies 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. 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 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. Results: The overall in-hospital DVT after ICH was 6.3%, 6.0%, and 5.7% in the derivation ( Conclusion: The 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.
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