View Item 

Show simple item record

Analytic morphometric assessment of patients undergoing colectomy for colon cancer
dc.contributor.authorSabel, Michael S.en_US
dc.contributor.authorTerjimanian, Michaelen_US
dc.contributor.authorConlon, Anna S.C.en_US
dc.contributor.authorGriffith, Kent A.en_US
dc.contributor.authorMorris, Arden M.en_US
dc.contributor.authorMulholland, Michael W.en_US
dc.contributor.authorEnglesbe, Michael J.en_US
dc.contributor.authorHolcombe, Stephanen_US
dc.contributor.authorWang, Stewart C.en_US
dc.date.accessioned2013-08-02T20:51:45Z
dc.date.available2014-10-06T19:17:44Zen_US
dc.date.issued2013-09en_US
dc.identifier.citationSabel, Michael S.; Terjimanian, Michael; Conlon, Anna S.C.; Griffith, Kent A.; Morris, Arden M.; Mulholland, Michael W.; Englesbe, Michael J.; Holcombe, Stephan; Wang, Stewart C. (2013). "Analytic morphometric assessment of patients undergoing colectomy for colon cancer." Journal of Surgical Oncology 108(3): 169-175. <http://hdl.handle.net/2027.42/99075>en_US
dc.identifier.issn0022-4790en_US
dc.identifier.issn1096-9098en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/99075
dc.description.abstractBackground Analytic morphometrics provides objective data that may better stratify risk. We investigated morphometrics and outcome among colon cancer patients. Methods An IRB‐approved review identified 302 patients undergoing colectomy who had CT scans. These were processed to measure psoas area (PA), density (PD), subcutaneous fat (SFD), visceral fat (VF), and total body fat (TBF). Correlation with complications, recurrence, and survival were obtained by t ‐tests and linear regression models after adjusting for age and Charlson index. Results The best predictor of surgical complications was PD. PMH, Charlson, BMI, and age were not significant when PD was considered. SF area was the single best predictor of a wound infection. While all measures of obesity correlated with outcome, TBF was most predictive. Final multivariate Cox models for survival included age, Charlson score, nodal positivity, and TBF. Conclusions Analytic morphometric analysis provided objective data that stratified complications and outcome better than age, BMI, or co‐morbidities. J. Surg. Oncol. 2013; 108:169–175 . © 2013 Wiley Periodicals, Inc.en_US
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherMorphometricen_US
dc.subject.otherColectomyen_US
dc.subject.otherObesityen_US
dc.subject.otherSarcopeniaen_US
dc.subject.otherColon Canceren_US
dc.titleAnalytic morphometric assessment of patients undergoing colectomy for colon canceren_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelOncology and Hematologyen_US
dc.subject.hlbsecondlevelSurgery and Anesthesiologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.identifier.pmid23846976en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/99075/1/jso23366.pdf
dc.identifier.doi10.1002/jso.23366en_US
dc.identifier.sourceJournal of Surgical Oncologyen_US
dc.identifier.citedreferenceHoogeboom TJ, Dronkers JJ, van den Ende CH, et al.: Preoperative therapeutic exercise in frail elderly scheduled for total hip replacement: A randomized pilot trial. Clin Rehabil 2010; 24: 901 – 910.en_US
dc.identifier.citedreferenceMarcus RL, Addison O, Kidde JP, et al.: Skeletal muscle fat infiltration: Impact of age, inactivity and exercise. Journal of Nutrition. Health Aging 2010; 14: 362 – 366.en_US
dc.identifier.citedreferenceLee JS, He K, Harbaugh CM, et al.: Frailty, core muscle size, and mortality in patients undergoing open abdominal aortic aneurysm repair. J Vasc Surg 2011; 53: 912 – 917.en_US
dc.identifier.citedreferenceWatters JM: Preventive measures in the elderly surgical patient. Can J Surg 1991; 34: 561 – 564.en_US
dc.identifier.citedreferenceMakary MA, Segev DL, Pronovost PJ, et al.: Frailty as a predictor of surgical outcomes in older patients. J Am Coll Surg 2010; 210: 901 – 908.en_US
dc.identifier.citedreferenceKujala UM: Evidence on the effects of exercise therapy in the treatment of chronic disease. Br J Sports Med 2009; 43: 550 – 555.en_US
dc.identifier.citedreferenceKujala UM: Benefits of exercise therapy for chronic diseases. Br J Sports Med 2006; 40: 3 – 4.en_US
dc.identifier.citedreferenceKujala UM: Evidence for exercise therapy in the treatment of chronic disease based on at least three randomized controlled trials—Summary of published systematic reviews. Scand J Med Sci Sports 2004; 14: 339 – 345.en_US
dc.identifier.citedreferenceCarli F, Charlebois P, Stein B, et al.: Randomized clinical trial of prehabilitation in colorectal surgery. Br J Surg 2010; 97: 1187 – 1197.en_US
dc.identifier.citedreferenceMayo NE, Feldman L, Scott S, et al.: Impact of preoperative change in physical function on postoperative recovery: Argument supporting prehabilitation for colorectal surgery. Surgery 2011; 150.en_US
dc.identifier.citedreferenceRichardson CR, Newton TL, Abraham JJ, et al.: A meta‐analysis of pedometer‐based walking interventions and weight loss. Ann Fam Med 2008; 6: 69 – 677.en_US
dc.identifier.citedreferenceRichardson CR, Buis LR, Janney AW, et al.: An online community improves adherence in an internet‐mediated walking program. Part 1: Results of a randomized controlled trial. J Med Internet Res 2010; 12: e71.en_US
dc.identifier.citedreferenceMoy ML, Janney AW, Nguyen HQ, et al.: Use of pedometer and Internet‐mediated walking program in patients with chronic obstructive pulmonary disease. J Rehabil Res Dev 2010; 47: 485 – 496.en_US
dc.identifier.citedreferenceKang M, Marshall SJ, Barreira TV, et al.: Effect of pedometer‐based physical activity interventions: A meta‐analysis. Res Q Exerc Sport 2009; 80: 648 – 655.en_US
dc.identifier.citedreferenceTaaffe DR, Henwood TR, Nalls MA, et al.: Alterations in muscle attenuation following detraining and retraining in resistance‐trained older adults. Gerontology 2009; 55: 217 – 223.en_US
dc.identifier.citedreferenceCoker RH, Williams RH, Kortebein PM, et al.: Influence of exercise intensity on abdominal fat and adiponectin in elderly adults. Metab Synd Rel Disord 2009; 7: 363 – 368.en_US
dc.identifier.citedreferenceHutchinson SK, Teede HJ, Rachon D, et al.: Effect of exercise training on insulin sensitivity, mitochondria and computed tomography muscle attenuation in overweight women with and without polycystic ovary syndrome. Dabetologia 2012; 55: 1424 – 1434.en_US
dc.identifier.citedreferencePeng PD, van Vledder MG, Tsai S, et al.: Sarcopenia negatively impacts short‐term outcomes in patients undergoing hepatic resection for colorectal liver metastasis. HPB 2011; 13: 439 – 446.en_US
dc.identifier.citedreferenceGallagher D, Visser M, Sepulveda D, et al.: How useful is body mass index for comparison of body fatness across age, sex and ethnic groups. Am J Epidemiol 1996; 143: 228 – 239.en_US
dc.identifier.citedreferenceHeymsfield SB, Gallagher D, Mayer L, et al.: Scaling of human body composition to stature: New insights into body mass index. Am J Clin Nutr 2007; 86: 82 – 91.en_US
dc.identifier.citedreferenceFlegal KM, Shepherd JA, Looker AC, et al.: Comparisons of percentage body fat, body mass index, waist circumference and waist‐stature ratio in adults. Am J Clin Nutr 2009; 89: 500 – 508.en_US
dc.identifier.citedreferenceHaydon AMM, MacInnis RJ, English DR, et al.: Effect of physical activity and body size on survival after diagnosis with colorectal cancer. Gut 2006; 55: 62 – 67.en_US
dc.identifier.citedreferenceMoon HG, Ju YT, Jeong CY, et al.: Visceral obesity may affect oncologic outcome in patients with colorectal cancer. Ann Surg Oncol 2008; 15: 1918 – 1922.en_US
dc.identifier.citedreferenceGiovannucci E: Insulin and colon cancer. Cancer Causes Control 1995; 6: 164 – 179.en_US
dc.identifier.citedreferenceKampman E, Bijl AJ, Kok C, et al.: Reproductive and hormonal factors in male and female colon cancer. Eur J Cancer Prev 1994; 3: 329 – 336.en_US
dc.identifier.citedreferenceWei EK, Ma J, Pollak MN, et al.: A prospective study of C‐peptide, insulin‐like growth factor‐I, insulin‐like growth factor binding protein‐1, and the risk of colorectal cancer in women. Cancer Epidemiol Biomarkers Prev 2005; 14: 850 – 855.en_US
dc.identifier.citedreferenceMa J, Giovannucci E, Pollak MN, et al.: A prospective study of plasma C‐peptide and colorectal cancer risk in men. JNCI 2004; 96: 546 – 553.en_US
dc.identifier.citedreferenceGiovannucci E: metabolic syndrome, hyperinsulinemia, and colon cancer: A review. Am J Clin Nutr 2007; 86: s836 – s842.en_US
dc.identifier.citedreferenceMurphy TK, Calle EE, Rodriguez C, et al.: Body mass index and colon cancer mortality in a large prospective study. Am J Epidemiol 2000; 152: 847 – 854.en_US
dc.identifier.citedreferenceMeyerhardt JA, Catalano PJ, Haller DG, et al.: Influence of body mass index on outcomes and treatment‐related toxicity in patients with colon carcinoma. Cancer 2003; 98: 484 – 495.en_US
dc.identifier.citedreferenceDignam JJ, Polite BN, Yothers G, et al.: Body mass index and outcomes in patients who receive adjuvant chemotherapy for colon cancer. JNCI 2006; 98: 1647 – 1654.en_US
dc.identifier.citedreferenceMeyerhardt JA, Niedzwiecki D, Hollis D, et al.: Impact of body mass index and weight change after treatment on cancer recurrence and survival in patients with stage III colon cancer: Findings from Cancer and Leukemia Group B 89803. J Clin Oncol 2008; 26: 4109 – 4115.en_US
dc.identifier.citedreferenceSanoff HK, Carpetner WR, Sturmer T, et al.: Effect of adjuvant chemotherapy on survival of patients with stage III colon cancer diagnosed after age 75 years. J Clin Oncol 2012; 30: 2624 – 2634.en_US
dc.identifier.citedreferenceHowlader N, Noone A, Krapcho M, et al.: SEER cancer statistics review. 1975–2008. http://seer.cancer.gove/csr/1975_2008/ 2011.en_US
dc.identifier.citedreferenceHedley AA, Ogden CL, Johnson CL, et al.: Prevalence of overweight and obesity among US children, adeolescents, and adults. 1999–2002. JAMA 2004; 291: 2847 – 2850.en_US
dc.identifier.citedreferenceEnglesbe MJ, Patel SP, He K, et al.: Sarcopenia and mortality after liver transplantation. J Am Coll Surg 2010; 211: 271 – 278.en_US
dc.identifier.citedreferenceLee JS‐J, He K, Harbaugh CM, et al.: Frailty, core muscle size, and mortality in patients undergoing open abdominal aortic aneurysm repair. J Vasc Surg 2011; 54: 912 – 917.en_US
dc.identifier.citedreferenceSabel MS, Lee J, Cai S, et al.: Sarcopenia as a prognostic factor among patients with stage III melanoma. Ann Surg Oncol 2011; 18: 3579 – 3585.en_US
dc.identifier.citedreferenceLee JS, Terjimanian MN, Tishberg LM, et al.: Surgical site infection and analytic morphometric assessment of body composition in patients undergoing midline laparotomy. J Am Coll Surg 2011; 213: 236 – 244.en_US
dc.identifier.citedreferenceBaumgartner RN, Wayne SJ, Waters DL, et al.: Sarcopenic obesity predicts instrumental activities of daily living disability in the elderly. Obes Res 2004; 12: 1995 – 2004.en_US
dc.identifier.citedreferenceVillareal DT, Banks M, Sinacore DR, et al.: Effect of weight loss and exercise on frailty in obese, older adults. Arch Intern Med 2006; 166: 860 – 866.en_US
dc.identifier.citedreferenceGoodpaster BH, Thaete FL, Kelley DE: Skeletal muscle composition evaluated with computed tomography. Ann NY Acad Sci 2000; 904: 18 – 24.en_US
dc.identifier.citedreferenceGoodpaster BH, Kelley DE, Thaete FL, et al.: Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content. J Appl Physiol 2000; 89: 104 – 110.en_US
dc.identifier.citedreferenceCharlson ME, Pompei P, Ales KL, et al.: A new method of classifying prognostic co‐morbidity in longitudinal studies: Development and validation. J Chron Dis 1987; 40: 373 – 383.en_US
dc.identifier.citedreferenceGabriel SE, Crowson CS, O'Fallon WM: A comparison of two comorbidity instruments in arthritis. J Clin Epidemiol 1999; 52: 1137 – 1142.en_US
dc.identifier.citedreferenceZhang JX, Iswashyna TJ, Christakis NA: The performance of different lookback periods and sources of information for Charlson comorbidity adjustment in Medicare claims. Med Care 1999; 37: 1128 – 1139.en_US
dc.identifier.citedreferenceSundararajan V, Henderson T, Perry C, et al.: New ICD‐10 version of the Charlson comorbidity index predicted in‐hospital mortality. J Clin Epidemiol 2004; 57: 1288 – 1294.en_US
dc.identifier.citedreferenceOuellette JR, Small DG, Termublen PM: Evaluation of Charlson‐Age comorbidity index as predictor of morbidity and mortality in patients with colorectal carcinoma. J Gastrointest Surg 2004; 8: 1061 – 1067.en_US
dc.identifier.citedreferenceCronin DP, Harlan LC, Potosky AL, et al.: Patterns of care for adjuvant therapy in a random population based sample of patients diagnosed with colorectal cancer. Am J Gastroenterol 2006; 101: 2308 – 2318.en_US
dc.identifier.citedreferenceDominitiz JA, Samsa GP, Landsman P, et al.: Race, treatment and survival among colorectal carcinoma patients in an equal‐access medical system. Cancer 1998; 82: 2312 – 2320.en_US
dc.identifier.citedreferenceIversen LH, Norgaard M, Jacobsen J, et al.: The impact of comorbidity on survival of Danish colorectal cancer patients from 1995 to 2006. Dis Colon Rectum 2009; 52: 71 – 78.en_US
dc.identifier.citedreferenceBurns EM, Bottle A, Aylin P, et al.: Variation in reoperation after colorectal surgery in England as an indicator of surgical performance. BMJ 2011; 343: d4836.en_US
dc.identifier.citedreferenceSiegel R, Ward E, Brawley O, et al.: Cancer Statistics. CA Cancer J Clin 2011; 61: 212 – 236.en_US
dc.identifier.citedreferenceGendall KA, Raniga S, Kennedy R, et al.: The impact of obesity on outcome after major colorectal surgery. Dis Colon Rectum 2007; 50: 2223 – 2237.en_US
dc.identifier.citedreferenceLongo WE, Viergo KS, Johnson FE, et al.: Risk factors for morbidity and mortality after colectomy for colon cancer. Dis Colon Rectum 2000; 43: 83 – 91.en_US
dc.identifier.citedreferenceAlves A, Panis Y, Matheieu P, et al.: Postoperative mortality and morbidity in French patients undergoing colorectal surgery: Results of a prospective multicenter study. Arch Surg 2005; 140: 278 – 283.en_US
dc.identifier.citedreferenceMerkow RP, Bilimoria KY, McCarter MD, et al.: Effect of body mass index on short term outcomes after colectomy for cancer. JACS 2008; 208: 53 – 61.en_US
dc.identifier.citedreferenceLang PO, Michel JP, Zekry D: Frailty syndrome: A transitional state in a dynamic process. Gerontology 2009; 55: 539 – 549.en_US
dc.identifier.citedreferenceDelmonico MJ, Harris TB, Visser M, et al.: Longitudinal study of muscle strength, quality, and adipose tissue infiltration. Am J Clin Nutr 2009; 90: 1579 – 1585.en_US
dc.identifier.citedreferenceMiljkovic I, Zmuda JM: Epidemiology of myosteatosis. Curr Opin Clini Nutr Metab Care 2010; 13: 260 – 264.en_US
dc.identifier.citedreferenceSchafer AL, Vittinghoff E, Lang TF, et al.: Fat infiltration of muscle, diabetes and clinical fracture risk in older adults. J Clin Endocrin Metab 2010; 95: E368 – E372.en_US
dc.identifier.citedreferenceZoico E, Rossi A, De Francesco V, et al.: Adipose tissue infiltration in skeletal muscle of healthy, elderly men: Relationships wtih body compositino, insulin resistance and inflammaton at the systemic and tissue level. J Gerontol A Biol Sci Med Sci 2010; 65A: 295 – 299.en_US
dc.identifier.citedreferenceWalston J, McBurnie MA, Newman A, et al.: Frailty and activation of the inflammaton and coagulation systems with and without clinical morbidities: Results from the cardiovascula health Study. Arch Intern Med 2002; 162: 2333 – 2341.en_US
dc.identifier.citedreferenceGallagher D, Kelley DE, Yim JE, et al.: Adipose tissue distribution is different in type 2 diabetes. Am J Clin Nutr 2009; 89: 295 – 299.en_US
dc.identifier.citedreferenceHilton TN, Tuttle LJ, Bohnert KL, et al.: Excessive adipose tissue infiltration in skeletal muscle in individuals with obesity, diabetes mellitus and peripheral neuropathy; association with performance and function. Phys Ther 2008; 88: 1336 – 1344.en_US
dc.identifier.citedreferenceBeasley LE, Koster A, Newman AB, et al.: Inflammation and race and gender differences in computerized tomography‐measured adipose depots. Obesity 2009; 17: 1062 – 1069.en_US
dc.identifier.citedreferenceCoen PM, Dube JJ, Amati F, et al.: Insulin resistance is associated wit higher intramyocellular triglycerides in type I but not type II myocytes concomitant with higher ceramide content. Diabetes 2010; 59: 80 – 88.en_US
dc.identifier.citedreferenceAnderson DE, D'Agostino JM, Bruno AG, et al.: Variations of CT‐based trunk muscle attenuation by age, sex and specific muscle. J Gerentology 2013; 68: 317 – 323.en_US
dc.identifier.citedreferenceHicks GE, Simonsick EM, Harris TB, et al.: Cross‐sectional associations between trunk muscle composition, back pain and physical function in the health, aging and body composition study. J Gerontol A Biol Sci Med Sci 2005; 60: 882 – 887.en_US
dc.identifier.citedreferenceHicks GE, Simonsick EM, Harris TB, et al.: Trunk muscle composition as a predictor of reduced functional capacity in the health: Aging and body composition study. J Gerontol A Biol Sci Med Sci 2005; 60: 1420 – 1424.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
jso23366.pdf
Size:
91.44KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.