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International Journal of Surgical Oncology
Volume 2013, Article ID 269510, 6 pages
http://dx.doi.org/10.1155/2013/269510
Research Article

Baseline Quality of Life Factors Predict Long Term Survival after Elective Resection for Colorectal Cancer

1Department of Colorectal Surgery, University Hospital of South Manchester, Manchester M23 9LT, UK
2Institute of Rehabilitation, University of Hull, Hull, UK
3Division of Colorectal Surgery, University of Rochester Medical Center, Rochester, NY, USA

Received 11 June 2013; Revised 27 September 2013; Accepted 11 October 2013

Academic Editor: Kefah Mokbel

Copyright © 2013 Abhiram Sharma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background. Studies have shown an association between baseline quality of life (Qol) and survival in advanced cancers. The aim of this study was to investigate their predictive value in long term survival after elective colorectal cancer resection. Methods. A consecutive series of patients undergoing elective colorectal cancer surgery for nonmetastatic disease were recruited in 2003/04. Patients completed standardized quality of life questionnaires (HADS, FACTC, MRS, and PANAS) prior to and 6 weeks after surgery. Univariate (log-rank test) and multivariate analyses (Cox proportional hazards) were performed to predict long term survival. Results. Ninety-seven patients met the inclusion criteria. Sixty-five (67%) were male and the median age of the group was 70 years. Forty-six (47.5%) patients had died and the mean survival was 1,741 days (median 2159, range 9–2923 days). Preoperative mood rating scale and functional assessment of cancer therapy-colorectal FACT C emotional well-being and postoperative FACT C additional concerns were independent predictors of long term survival. Conclusion. Incorporating psychosocial measures in preoperative assessment of cancer patients could help to identify patients who require assessment with a view to implementing psychosocial interventions. These active interventions to maximize mood and well-being should form an integral part of multidisciplinary treatment in these patients.