Clinical Report: Predictive Model for DVT Risk in Elderly ICH Patients

Overview

This study developed and validated a predictive model for lower extremity deep vein thrombosis (DVT) risk in elderly patients with intracerebral hemorrhage (ICH). The model incorporates four independent predictors.

Background

Elderly patients with intracerebral hemorrhage are at a high risk for both bleeding and thromboembolism, complicating antithrombotic management. Previous models for predicting DVT risk may not accurately reflect the unique characteristics of this population.

Data Highlights

Key Findings

• The study included 247 elderly patients with ICH.
• Five potential predictors were identified using LASSO regression.
• The final model included four independent predictors: logDFR, eGFR, GCS, and infection.
• The model achieved an area under the curve (AUC) of 0.819, indicating good discrimination.
• Calibration assessment showed moderate overestimation of risk.
• Decision curve analysis confirmed the model's applicability in various clinical settings.

Clinical Implications

The predictive model developed in this study can assist clinicians in identifying elderly patients with ICH who are at high risk for DVT.

Conclusion

This study presents a validated prediction model for DVT risk in elderly ICH patients.

Related Resources & Content

1. Frontiers in Neurology, 2026 -- Risk factors for lower limb deep vein thrombosis in patients with intracerebral hemorrhage: a retrospective study using LASSO regression to develop a nomogram
2. Frontiers in Neurology, 2026 -- Atrial fibrillation as an independent risk factor for venous thromboembolism in intracerebral hemorrhage patients: a multicenter retrospective cohort study
3. Frontiers in Neurology, 2026 -- Development and internal validation of a machine learning model for predicting intracranial infection after spontaneous intracerebral hemorrhage: a two-center retrospective study
4. Frontiers in Medicine, 2026 -- Machine Learning Prediction Models for Deep Vein Thrombosis in Hospitalised Patients: A Systematic Review and Meta-Analysis
5. Clinical Update - 2022 Guideline for the Management of Patients With Spontaneous Intracerebral Hemorrhage
6. Acute care of spontaneous intracerebral hemorrhage | Neurological Research and Practice | Springer Nature Link
7. Clinical Update - 2022 Guideline for the Management of Patients With Spontaneous Intracerebral Hemorrhage
8. Acute care of spontaneous intracerebral hemorrhage | Neurological Research and Practice | Springer Nature Link