Development and validation of a prediction model for lower extremity deep vein thrombosis risk in elderly patients with intracerebral hemorrhage - Takeaways - MDSpire

Development and validation of a prediction model for lower extremity deep vein thrombosis risk in elderly patients with intracerebral hemorrhage

  • By

  • Yi Yang

  • XinYi Guo

  • Ke Luo

  • Wenjuan Zhao

  • Hongru Li

  • Yongli Zhang

  • July 15, 2026

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  • 1

    A predictive model for lower extremity deep vein thrombosis risk was developed for elderly patients with intracerebral hemorrhage.

  • 2

    The study included 247 elderly patients with intracerebral hemorrhage, identifying five potential predictors of deep vein thrombosis.

  • 3

    The final model incorporated four independent predictors: logDFR, eGFR, GCS, and infection, demonstrating good discrimination.

  • 4

    The model achieved an area under the curve of 0.819, indicating effective performance in predicting deep vein thrombosis risk.

  • 5

    Calibration assessment showed moderate overestimation of risk, while decision curve analysis confirmed the model's applicability.

Original Source(s)

Development and validation of a prediction model for lower extremity deep vein thrombosis risk in elderly patients with intracerebral hemorrhage

  • by Yi Yang, XinYi Guo, Ke Luo, Wenjuan Zhao, Hongru Li, Yongli Zhang

  • July 15, 2026

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