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An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
A validated risk model to predict 90-day VTE events in postsurgical patients
Christopher J Pannucci1, Sandra Laird2, Justin B Dimick3
1Section of Plastic Surgery, Ann Arbor, MI.
Chest
|October 5, 2013
Summary
A new weighted risk index helps identify surgical patients at high risk for venous thromboembolism (VTE). This tool reveals an 18-fold variation in VTE risk, aiding in personalized prophylaxis decisions.
Area of Science:
- Medical research
- Surgical outcomes
- Thromboembolism prevention
Background:
- Venous thromboembolism (VTE) causes 100,000 deaths annually in the U.S.
- Perioperative VTE risk varies significantly among surgical patients, necessitating risk stratification.
- Identifying high-risk patients for chemoprophylaxis is crucial, while low-risk patients may not benefit.
Purpose of the Study:
- To develop and validate a risk index for predicting 90-day VTE in surgical patients.
- To stratify VTE risk and guide prophylactic treatment decisions.
- To quantify the variation in VTE risk within the surgical population.
Main Methods:
- Utilized data from a statewide surgical quality collaborative (2010-2012).
- Employed regression techniques to identify VTE predictors, adjusting for complexity and comorbidities.
- Created and validated a weighted risk index using independent datasets.
Main Results:
- A 90-day VTE rate of 1.4% was observed in 10,344 patients.
- Seven key risk factors identified: prior VTE, cancer, sepsis, age ≥60, BMI ≥40, male sex, and family history of VTE.
- The validated risk index demonstrated good predictive performance (AUC 0.72/0.70) and identified an 18-fold variation in VTE risk.
Conclusions:
- A weighted risk index effectively quantifies 90-day VTE risk in surgical patients.
- The index highlights a substantial 18-fold variation in VTE risk across the surgical population.
- This tool can aid in optimizing VTE prophylaxis strategies.
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