Influence of body composition profile on outcomes following colorectal cancer surgery

G. Malietzis, A. C. Currie, T. Athanasiou, N. Johns, N. Anyamene, R. Glynne-Jones, R. H. Kennedy, K. C. H. Fearon, J. T. Jenkins*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

BackgroundMuscle depletion is characterized by reduced muscle mass (myopenia), and increased infiltration by intermuscular and intramuscular fat (myosteatosis). This study examined the role of particular body composition profiles as prognostic markers for patients with colorectal cancer undergoing curative resection.

MethodsPatients with colorectal cancer undergoing elective surgical resection between 2006 and 2011 were included. Lumbar skeletal muscle index (LSMI), visceral adipose tissue (VAT) surface area and mean muscle attenuation (MA) were calculated by analysis of CT images. Reduced LSMI (myopenia), increased VAT (visceral obesity) and low MA (myosteatosis) were identified using predefined sex-specific skeletal muscle index values. Univariable and multivariable Cox regression models were used to determine the role of different body composition profiles on outcomes.

ResultsSome 805 patients were identified, with a median follow-up of 47 (i.q.r. 249-656) months. Multivariable analysis identified myopenia as an independent prognostic factor for disease-free survival (hazard ratio (HR) 153, 95 per cent c.i. 106 to 239; P=0041) and overall survival (HR 170, 125 to 231; P

ConclusionMyopenia may have an independent prognostic effect on cancer survival for patients with colorectal cancer. Muscle depletion may represent a modifiable risk factor in patients with colorectal cancer and needs to be targeted as a relevant endpoint of health recommendations.

Myopenia affects survival

Original languageEnglish
Pages (from-to)572-580
Number of pages9
JournalBritish Journal of Surgery
Issue number5
Early online date16 Mar 2016
Publication statusPublished - Apr 2016

Keywords / Materials (for Non-textual outputs)

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