Skeletal Muscle Changes After Elective Colorectal Cancer Resection: A Longitudinal Study

Annals of Surgical Oncology

Volumn 23, Issue 8, 2016, Pages 2539-2547

  Malietzis, George ^a,b   Currie, Andrew C ^a   Johns, Neil ^c   Fearon, Kenneth C ^c   Darzi, Ara ^b   Kennedy, Robin H ^a,b   Athanasiou, Thanos ^b   Jenkins, John T ^a,b  

^a ST MARK S HOSPITAL   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; BODY COMPOSITION; CANCER STAGING; COLORECTAL CANCER; COLORECTAL SURGERY; COMPUTER ASSISTED TOMOGRAPHY; ELECTIVE SURGERY; FEMALE; HUMAN; IMAGE ANALYSIS; LAPAROSCOPIC SURGERY; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; PREOPERATIVE PERIOD; SKELETAL MUSCLE; SURGICAL APPROACH; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME; COLORECTAL TUMOR; FOLLOW UP; MIDDLE AGED; PATHOLOGY; POSTOPERATIVE COMPLICATION; PROGNOSIS;

AGED; BODY COMPOSITION; COLORECTAL NEOPLASMS; COLORECTAL SURGERY; ELECTIVE SURGICAL PROCEDURES; FEMALE; FOLLOW-UP STUDIES; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MUSCLE, SKELETAL; POSTOPERATIVE COMPLICATIONS; PROGNOSIS;

EID: 84961848406     PISSN: 10689265     EISSN: 15344681     Source Type: Journal    
DOI: 10.1245/s10434-016-5188-1     Document Type: Article

References (23)

1. Fearon K, Evans WJ, Anker SD. Myopenia: a new universal term for muscle wasting. J Cachexia Sarcopenia Muscle. 2011;2(1):1–3.
2. Miljkovic I, Zmuda JM. Epidemiology of myosteatosis. Curr Opin Clin Nutr Metab Care. 2010;13(3):260–4.
3. Malietzis G, Aziz O, Bagnall NM, et al. The role of body composition evaluation by computerized tomography in determining colorectal cancer treatment outcomes: a systematic review. Eur J Surg Oncol. 2015;41(2):186–96.
4. Prado CM, Lieffers JR, McCargar LJ, et al. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol. 2008;9(7):629–35.
5. Martin L, Birdsell L, Macdonald N, et al. Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol. 2013;31(12):1539–47.
6. Prado CM, Baracos VE, McCargar LJ, et al. Body composition as an independent determinant of 5-fluorouracil-based chemotherapy toxicity. Clin Cancer Res. 2007;13(11):3264–8.
7. Shek DT, Ma CM. Longitudinal data analyses using linear mixed models in SPSS: concepts, procedures and illustrations. Sci World J 2011; 11:42–76.
8. Francis DJ, Fletcher JM, Stuebing KK, et al. Analysis of change: modeling individual growth. J Consult Clin Psychol. 1991;59(1):27–37.
9. Singer JD, Willett JB. Applied longitudinal data analysis: modeling change and event occurrence. Oxford: Oxford University Press; 2003.
10. Malietzis G, Giacometti M, Askari A, et al. A preoperative neutrophil to lymphocyte ratio of 3 predicts disease-free survival after curative elective colorectal cancer surgery. Ann Surg. 2014;260(2):287–92.
11. Mourtzakis M, Prado CM, Lieffers JR, et al. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab. 2008;33(5):997–1006.
12. Rabe-Hesketh S, Skrondal A, Stata Corporation. Multilevel and longitudinal modeling using stata: continuous responses. vol 1, 3rd ed; College Station (TX): Stata Press Publication; 2012.
13. Brehm MA, Scholtes VA, Dallmeijer AJ, et al. The importance of addressing heteroscedasticity in the reliability analysis of ratio-scaled variables: an example based on walking energy-cost measurements. Dev Med Child Neurol. 2012;54(3):267–73.
14. Biolo G, Cederholm T, Muscaritoli M. Muscle contractile and metabolic dysfunction is a common feature of sarcopenia of aging and chronic diseases: from sarcopenic obesity to cachexia. Clin Nutr. 2014;33(5):737–48.
15. Biolo G, Ciocchi B, Stulle M, et al. Calorie restriction accelerates the catabolism of lean body mass during 2 wk of bed rest. Am J Clin Nutr. 2007;86(2):366–72.
16. Ji L, Meng H, Dong B. Factors associated with poor nutritional status among the oldest-old. Clin Nutr. 2012;31(6):922–6.
17. Richards CH, Roxburgh CS, MacMillan MT, et al. The relationships between body composition and the systemic inflammatory response in patients with primary operable colorectal cancer. PLoS One. 2012;7(8):e41883.
18. Seelaender M, Batista M Jr, Lira F, et al. Inflammation in cancer cachexia: to resolve or not to resolve (is that the question?). Clin Nutr. 2012;31(4):562–6.
19. Tan BH, Ross JA, Kaasa S, et al. Identification of possible genetic polymorphisms involved in cancer cachexia: a systematic review. J Genet. 2011;90(1):165–77.
20. Kennedy RH, Francis EA, Wharton R, et al. Multicenter randomized controlled trial of conventional versus laparoscopic surgery for colorectal cancer within an enhanced recovery programme: EnROL. J Clin Oncol. 2014;32(17):1804–11.
21. Vlug MS, Wind J, Hollmann MW, et al. Laparoscopy in combination with fast track multimodal management is the best perioperative strategy in patients undergoing colonic surgery: a randomized clinical trial (LAFA-study). Ann Surg. 2011;254(6):868–75.
22. Watt DG, Horgan PG, McMillan DC. Routine clinical markers of the magnitude of the systemic inflammatory response after elective operation: a systematic review. Surgery. 2015;157(2):362–80.
23. Malietzis G, Johns N, Al-Hassi HO, et al. Low muscularity and myosteatosis is related to the host systemic inflammatory response in patients undergoing surgery for colorectal cancer. Ann Surg. 2016;263(2):320–5.