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Venous thrombosis requires effective prevention and treatment strategies to improve patient outcomes and reduce potential complications.Prevention StrategiesHealthcare providers must prioritize preventing venous thromboembolism (VTE) for all adult patients upon admission. Interventions depend on bleeding and thrombosis risk, medical history, current medications, diagnoses, planned procedures, and patient preferences. Patients on bed rest should change positions every two hours and, if not...
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Venous Thrombosis IV: Nursing Management01:30

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Nursing management begins with a thorough assessment of the patient's health history. Key factors include trauma to veins, peripherally inserted central catheters, varicose veins, recent pregnancy or childbirth, surgery, bacteremia, prolonged bed rest, atrial fibrillation, COPD, heart failure, cancer, coagulation disorders, myocardial infarction, spinal cord injury, stroke, prolonged travel, recent bone fractures, and dehydration. Review medication intake, particularly oral contraceptives,...
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The key difference between Superficial Vein Thrombosis (SVT) and Deep Vein Thrombosis (DVT) lies in their location and severity.Clinical ManifestationsSVT typically presents with localized pain, tenderness, and redness along the course of a superficial vein, often accompanied by a palpable, cord-like structure under the skin. This condition is usually less dangerous than DVT but can be uncomfortable and may lead to complications such as cellulitis or, rarely, a clot extension into the deep...
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Venous thrombosis, the most common disorder of the veins, involves the formation of a thrombus or blood clot associated with vein inflammation. It can be classified as either superficial vein thrombosis or deep vein thrombosis.Superficial Vein Thrombosis: This involves the formation of a thrombus in a superficial vein, usually the greater or lesser saphenous vein. Though less severe than deep vein thrombosis (DVT), SVT can lead to complications if untreated.Deep Vein Thrombosis (DVT): This...
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Developing a predictive model for lower extremity deep vein thrombosis in acute ischemic stroke using a nomogram.

Weicong Chen1,2, Chaohua Cui1,2, Changsheng Lai2,3

  • 1Life Science and Clinical Medicine Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.

Frontiers in Neurology
|July 1, 2025
PubMed
Summary

A new nomogram predicts deep vein thrombosis (DVT) risk in acute ischemic stroke (AIS) patients. This tool aids early identification and prevention of DVT in high-risk individuals.

Keywords:
acute ischemic strokedeep vein thrombosisnomogrampredictionrisk factors

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Area of Science:

  • Neurology
  • Vascular Medicine
  • Medical Informatics

Background:

  • Deep vein thrombosis (DVT) is a common complication in acute ischemic stroke (AIS) patients.
  • Existing predictive models for DVT in AIS lack patient-specific details.
  • There is a need for tools to estimate DVT risk during the acute phase of AIS.

Purpose of the Study:

  • To develop a nomogram for estimating lower extremity DVT risk in AIS patients.
  • To identify independent risk factors for DVT in the acute phase of AIS.
  • To provide a tool for personalized DVT risk prediction in AIS.

Main Methods:

  • Retrospective analysis of 391 AIS patients from two Chinese tertiary hospitals.
  • Extraction of 63 clinical variables including demographics, clinical data, labs, and treatments.
  • Development of a nomogram using backward stepwise logistic regression and validation through calibration curves and decision curve analysis.

Main Results:

  • Gender, age, diabetes, anemia, prolonged bed rest (>3 days), and medium-frequency electrical therapy were identified as independent DVT risk factors.
  • The nomogram demonstrated good predictive performance with AUCs of 0.812 (modeling) and 0.796 (validation).
  • The nomogram showed good model consistency and superior net benefit compared to staging systems.

Conclusions:

  • A validated nomogram was developed to predict DVT risk in AIS patients.
  • The nomogram facilitates early identification of high-risk individuals.
  • This tool supports timely intervention to prevent DVT occurrence in AIS patients.