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Development and Validation of a Postoperative LEDVT Risk Assessment System for Severe Traumatic Brain Injury.

Minling Mo1,2, Dahong Zhai2, Nina Tao2

  • 1Department of Nursing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People's Republic of China.

Risk Management and Healthcare Policy
|April 27, 2026
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Summary
This summary is machine-generated.

A new risk assessment system for lower extremity deep vein thrombosis (LEDVT) after severe traumatic brain injury (sTBI) surgery was developed using expert consensus. This tool aids in early identification and prevention of LEDVT, enhancing patient safety.

Keywords:
Delphi methodassessment indicatorslower extremity deep venous thrombosisnursingrisk factorssevere traumatic brain injury

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Area of Science:

  • Medical Informatics
  • Trauma Surgery
  • Vascular Surgery

Background:

  • Severe traumatic brain injury (sTBI) patients undergoing surgery face a high risk of postoperative lower extremity deep vein thrombosis (LEDVT).
  • Existing risk assessment tools may not adequately address the complexities of LEDVT in this specific patient population.

Purpose of the Study:

  • To develop and validate a structured risk assessment system for LEDVT in patients with sTBI.
  • To establish a reliable and content-valid tool for predicting LEDVT risk post-surgery.

Main Methods:

  • A comprehensive literature review informed the system's design.
  • A two-round Delphi expert consensus process involving 16 multidisciplinary experts refined the system.
  • Indicator weights were determined using an analytic hierarchy process and expert scoring.

Main Results:

  • The finalized framework includes 6 primary domains and 19 secondary indicators.
  • High expert agreement was achieved, with an expert authority coefficient of 0.931 and Kendall's coefficient of concordance of 0.670 (p < 0.001).
  • Indicator variations were minimal, with coefficients of variation ranging from 0% to 7.01%.

Conclusions:

  • A comprehensive risk prediction indicator system for postoperative LEDVT in sTBI patients was successfully established.
  • The system is designed for integration into hospital information systems, enabling real-time monitoring and timely prophylactic interventions.
  • This tool aims to reduce LEDVT incidence, improve clinical decision-making, and enhance patient safety and care quality.