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A novel scoring system for predicting postoperative venous thromboembolic complications in patients after open aortic surgery.

Publication ,  Journal Article
Scarborough, JE; Cox, MW; Mureebe, L; Pappas, TN; Shortell, CK
Published in: J Am Coll Surg
April 2012

BACKGROUND: Although the overall incidence of venous thromboembolism (VTE) after open aortic surgery is low, it is not known whether specific factors can place patients at increased risk for this complication. The goal of our study was to identify patient and procedure characteristics that are associated with increased VTE risk after aortic surgery and that might therefore merit aggressive prophylaxis against this complication. STUDY DESIGN: All patients in the National Surgical Quality Improvement Program 2005-2009 Participant Use Data Files who underwent open aortic surgery for aneurysmal disease were included for analysis. Forward stepwise multivariate logistic regression analysis was used to identify patient and procedure characteristics associated with an increased risk of postoperative VTE events. Separate multivariate models were also used to predict which of 18 non-VTE postoperative complications might also be associated with an increased incidence of subsequent VTE, with adjustment for multiple comparisons. RESULTS: Postoperative VTE developed in 147 of 6,035 patients (2.4%) and in 60.5%, this complication developed after a non-VTE complication. Nine perioperative variables were found to be significantly associated with subsequent VTE on multivariate regression analysis. Patients with ≥3 of these risk factors were found to have a 3- to 4-fold higher incidence of postoperative VTE. CONCLUSIONS: Our analysis identifies a group of patients who are at increased risk of postoperative VTE complications developing after open aortic surgery. Aggressive postoperative chemical or mechanical prophylaxis should be considered in these patients when appropriate.

Duke Scholars

Published In

J Am Coll Surg

DOI

EISSN

1879-1190

Publication Date

April 2012

Volume

214

Issue

4

Start / End Page

620 / 626

Location

United States

Related Subject Headings

  • Venous Thromboembolism
  • Surgery
  • Risk Factors
  • Risk Assessment
  • Retrospective Studies
  • Postoperative Complications
  • Multivariate Analysis
  • Middle Aged
  • Male
  • Logistic Models
 

Citation

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Chicago
ICMJE
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Scarborough, J. E., Cox, M. W., Mureebe, L., Pappas, T. N., & Shortell, C. K. (2012). A novel scoring system for predicting postoperative venous thromboembolic complications in patients after open aortic surgery. J Am Coll Surg, 214(4), 620–626. https://doi.org/10.1016/j.jamcollsurg.2011.12.031
Scarborough, John E., Mitchell W. Cox, Leila Mureebe, Theodore N. Pappas, and Cynthia K. Shortell. “A novel scoring system for predicting postoperative venous thromboembolic complications in patients after open aortic surgery.J Am Coll Surg 214, no. 4 (April 2012): 620–26. https://doi.org/10.1016/j.jamcollsurg.2011.12.031.
Scarborough JE, Cox MW, Mureebe L, Pappas TN, Shortell CK. A novel scoring system for predicting postoperative venous thromboembolic complications in patients after open aortic surgery. J Am Coll Surg. 2012 Apr;214(4):620–6.
Scarborough, John E., et al. “A novel scoring system for predicting postoperative venous thromboembolic complications in patients after open aortic surgery.J Am Coll Surg, vol. 214, no. 4, Apr. 2012, pp. 620–26. Pubmed, doi:10.1016/j.jamcollsurg.2011.12.031.
Scarborough JE, Cox MW, Mureebe L, Pappas TN, Shortell CK. A novel scoring system for predicting postoperative venous thromboembolic complications in patients after open aortic surgery. J Am Coll Surg. 2012 Apr;214(4):620–626.
Journal cover image

Published In

J Am Coll Surg

DOI

EISSN

1879-1190

Publication Date

April 2012

Volume

214

Issue

4

Start / End Page

620 / 626

Location

United States

Related Subject Headings

  • Venous Thromboembolism
  • Surgery
  • Risk Factors
  • Risk Assessment
  • Retrospective Studies
  • Postoperative Complications
  • Multivariate Analysis
  • Middle Aged
  • Male
  • Logistic Models