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Morphometric age and surgical risk.

Publication ,  Journal Article
Englesbe, MJ; Terjimanian, MN; Lee, JS; Sheetz, KH; Harbaugh, CM; Hussain, A; Holcombe, SA; Sullivan, J; Campbell, DA; Wang, SC; Sonnenday, CJ
Published in: J Am Coll Surg
May 2013

BACKGROUND: A cornerstone of a surgeon's clinical assessment of suitability for major surgery is best described as the "eyeball test." Preoperative imaging may provide objective measures of this subjective assessment by calculating a patient's morphometric age. Our hypothesis is that morphometric age is a surgical risk factor distinct from chronologic age and comorbidity and correlates with surgical mortality and length of stay. STUDY DESIGN: This is a retrospective cohort study within a large academic medical center. Using novel analytic morphomic techniques on preoperative CT scans, a morphometric age was assigned to a random sample of patients having inpatient general and vascular abdominal surgery from 2006 to 2011. The primary outcomes for this study were postoperative mortality (1-year) and length of stay (LOS). RESULTS: The study cohort (n = 1,370) was stratified into tertiles based on morphometric age. The postoperative risk of mortality was significantly higher in the morphometric old age group when compared with the morphometric middle age group (odds ratio 2.42, 95% CI 1.52 to 3.84, p < 0.001). Morphometric old age patients were predicted to have a LOS 4.6 days longer than the morphometric middle age tertile. Similar trends were appreciated when comparing morphometric middle and young age tertiles. Chronologic age correlated poorly with these outcomes. Furthermore, patients in the chronologic middle age tertile found to be of morphometric old age had significantly inferior outcomes (mortality 21.4% and mean LOS 13.8 days) compared with patients in the chronologic middle age tertile found to be of morphometric young age (mortality 4.5% and mean LOS 6.3 days, p < 0.001 for both). CONCLUSIONS: Preoperative imaging can be used to assign a morphometric age to patients, which accurately predicts mortality and length of stay.

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Published In

J Am Coll Surg

DOI

EISSN

1879-1190

Publication Date

May 2013

Volume

216

Issue

5

Start / End Page

976 / 985

Location

United States

Related Subject Headings

  • Vascular Surgical Procedures
  • Tomography, X-Ray Computed
  • Surgical Procedures, Operative
  • Surgery
  • Risk Factors
  • Risk Assessment
  • Retrospective Studies
  • ROC Curve
  • Odds Ratio
  • Middle Aged
 

Citation

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Englesbe, M. J., Terjimanian, M. N., Lee, J. S., Sheetz, K. H., Harbaugh, C. M., Hussain, A., … Sonnenday, C. J. (2013). Morphometric age and surgical risk. J Am Coll Surg, 216(5), 976–985. https://doi.org/10.1016/j.jamcollsurg.2013.01.052
Englesbe, Michael J., Michael N. Terjimanian, Jay S. Lee, Kyle H. Sheetz, Calista M. Harbaugh, Adnan Hussain, Sven A. Holcombe, et al. “Morphometric age and surgical risk.J Am Coll Surg 216, no. 5 (May 2013): 976–85. https://doi.org/10.1016/j.jamcollsurg.2013.01.052.
Englesbe MJ, Terjimanian MN, Lee JS, Sheetz KH, Harbaugh CM, Hussain A, et al. Morphometric age and surgical risk. J Am Coll Surg. 2013 May;216(5):976–85.
Englesbe, Michael J., et al. “Morphometric age and surgical risk.J Am Coll Surg, vol. 216, no. 5, May 2013, pp. 976–85. Pubmed, doi:10.1016/j.jamcollsurg.2013.01.052.
Englesbe MJ, Terjimanian MN, Lee JS, Sheetz KH, Harbaugh CM, Hussain A, Holcombe SA, Sullivan J, Campbell DA, Wang SC, Sonnenday CJ. Morphometric age and surgical risk. J Am Coll Surg. 2013 May;216(5):976–985.
Journal cover image

Published In

J Am Coll Surg

DOI

EISSN

1879-1190

Publication Date

May 2013

Volume

216

Issue

5

Start / End Page

976 / 985

Location

United States

Related Subject Headings

  • Vascular Surgical Procedures
  • Tomography, X-Ray Computed
  • Surgical Procedures, Operative
  • Surgery
  • Risk Factors
  • Risk Assessment
  • Retrospective Studies
  • ROC Curve
  • Odds Ratio
  • Middle Aged