Development and validation of a prediction model for lower extremity deep vein thrombosis risk in elderly patients with intracerebral hemorrhage - Scorecard - MDSpire
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Development and validation of a prediction model for lower extremity deep vein thrombosis risk in elderly patients with intracerebral hemorrhage
Clinical Scorecard: Creation and assessment of a predictive model for the risk of lower extremity deep vein thrombosis in older adults with intracerebral hemorrhage
At a Glance
Category
Detail
Condition
Lower extremity deep vein thrombosis in elderly patients with intracerebral hemorrhage
Key Mechanisms
Increased venous thromboembolism risk due to hemostatic changes following intracerebral hemorrhage.
Target Population
Elderly patients aged over 60 with intracerebral hemorrhage
Care Setting
Hospitalized patients in a clinical setting
Key Highlights
Developed a predictive model for lower extremity deep vein thrombosis risk.
Identified four independent predictors: logDFR, eGFR, GCS, and infection.
Model demonstrated good discrimination with an AUC of 0.819.
Moderate overestimation of risk was noted in calibration assessment.
Model applicable across diverse clinical settings as per decision curve analysis.
Guideline-Based Recommendations
Diagnosis
Diagnosis of cerebral hemorrhage confirmed through CT scan within 48 hours of admission.
Management
Initiate IPC on the day of admission; no prophylactic anticoagulant administered.
Monitoring & Follow-up
Monitor for development of lower limb deep vein thrombosis during hospitalization.
Risks
Elderly patients face a delicate balance between bleeding and thromboembolism risks.
Patient & Prescribing Data
Elderly patients with primary cerebral parenchymal hemorrhage.
Anticoagulation therapy initiated post-diagnosis of LDVT in some cases.
Clinical Best Practices
Utilize the developed prediction model for early identification of high-risk patients.
Consider individual patient factors when managing antithrombotic therapy.
