• Michael J Englesbe, Michael N Terjimanian, Jay S Lee, Kyle H Sheetz, Calista M Harbaugh, Adnan Hussain, Sven A Holcombe, June Sullivan, Darrell A Campbell, Stewart C Wang, and Christopher J Sonnenday.
• Morphomics Analysis Group (MAG), Department of Surgery, University of Michigan, Ann Arbor, MI 48109-5331, USA. englesbe@med.umich.edu
• J. Am. Coll. Surg.. 2013 May 1;216(5):976-85.

BackgroundA 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 DesignThis 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).ResultsThe 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).ConclusionsPreoperative imaging can be used to assign a morphometric age to patients, which accurately predicts mortality and length of stay.Copyright © 2013 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

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