9th Hospital Prediction Model for post-thrombotic syndrome in deep venous thrombosis
Prediction model for risk of post-thrombotic syndrome in patients with first deep vein thrombosis who underwent invasive therapy and anticoagulation.


The data used in this model were retrospectively collected in a prospective registry database. This registry was launched in June 2016 and prospectively collected consecutive patients who were diagnosed with DVT at the Vascular Center of Shanghai JiaoTong University, Shanghai, China.

There were 338 cases from vascular surgery department of Shanghai ninth people's hospital was used as the derivation set, and 90 cases from vascular surgery department of Shanghai third people's hospital was used as the validation set. In the derivation set, PTS was diagnosed for 35.80%.

The AUC in this prediction model is 0.818.

Note: The current model is still pending peer-review. Once the model has been accepted for publication, a link to the published paper will be added. 
Research authors: Peng Qiu, Junchao Liu, Kaichuang Ye, Jinbao Qin, Zhiyou Peng, Xinrui Yang, Xin Wang, Xing Zhang, Xinwu Lu
Details Formula Study characteristics Files & References
Model author
Model ID
1789
Version
1.25
Revision date
2019-05-14
MeSH terms
  • Deep Vein Thrombosis
  • Postthrombotic Syndrome
  • Endovascular Procedures
  • Anticoagulation Agents
  • Model type
    Logistic regression (Calculation)
    Status
    public
    Rating
    No rating criteria met
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    Formula
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    Condition Formula

    Additional information

    The data used in this model were retrospectively collected in a prospective registry database. This registry was launched in June 2016 and prospectively collected consecutive patients who were diagnosed with DVT at the Vascular Center of Shanghai JiaoTong University. 

    There were 338 cases from vascular surgery department of Shanghai ninth people's hospital was used as the derivation set, and 90 cases from vascular surgery department of Shanghai third people's hospital was used as the validation set. In the derivation set, PTS was diagnosed for 35.80%.

    The AUC in this prediction model is 0.818.

    Study Population

    Total population size: 428

    Additional characteristics

    No additional characteristics defined

    Related files

    Supporting Publications

    No supporting publications available

    Post-thrombotic syndrome risk is:
    ...

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    Post-thrombotic syndrome risk is:

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    Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

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