lunes, 21 de octubre de 2013

A validated risk model to predict 90-day VTE events in... [Chest. 2013] - PubMed - NCBI

A validated risk model to predict 90-day VTE events in... [Chest. 2013] - PubMed - NCBI

Chest. 2013 Oct 3. doi: 10.1378/chest.13-1553. [Epub ahead of print]

A validated risk model to predict 90-day VTE events in post-surgical patients.

Abstract

ABSTRACT BACKGROUND Venous thromboembolism (VTE) is the proximate cause of 100,000 deaths in the United States each year. Peri-operative VTE risk among surgical patients varies by 20-fold. This highlights the importance of risk stratification to identify high-risk patients, in whom chemoprophylaxis can decrease VTE risk, and low-risk patients, for whom the risk-benefit relationship of prophylaxis may be unfavorable. MATERIALS AND METHODS We used data from a statewide surgical quality collaborative for surgical procedures performed between 2010 and 2012. Regression-based techniques identified predictors of 90-day VTE while adjusting for procedural complexity and comorbid conditions. A weighted risk index was created and was subsequently validated in a separate, independent data set. RESULTS Data were available for 10,344 patients, who were randomly allocated to derivation or validation cohorts. 90-day VTE rate was 1.4%. 66.2% of derivation cohort and 65.5% of validation cohorts received chemoprophylaxis. Seven risk factors were incorporated into a weighted risk index: personal history of VTE, current cancer, sepsis/septic shock/SIRS, age ≥60 years, BMI ≥40 kg/m2, male gender, and family history of VTE. Prediction for 90-day VTE was similar in the derivation and validation cohorts (AUROC 0.72 and 0.70, respectively). An 18-fold variation in 90-day VTE rate was identified. CONCLUSIONS A weighted risk index quantifies 90-day VTE risk among surgical patients, and identifies an 18-fold variation in VTE risk among the overall surgical population. CLINICAL TRIALS REGISTRATION Not applicable.
PMID:
24091567
[PubMed - as supplied by publisher]

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