The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Assessment of Computed Tomography (CT)-Defined Muscle and Adipose Tissue Features in Relation to Short-Term Outcomes After Elective Surgery for Colorectal Cancer: A Multicenter Approach
Abstract
Background Sarcopenia, visceral obesity (VO), and reduced muscle radiodensity (myosteatosis) are suggested risk factors for postoperative morbidity in colorectal cancer (CRC), but usually are not concurrently assessed. Published thresholds used to define these features are not CRC-specific and are defined in relation to mortality, not postoperative outcomes. This study aimed to evaluate body composition in relation to length of hospital stay (LOS) and postoperative outcomes.Methods Pre-surgical computed tomography (CT) images were assessed for total area and radiodensity of skeletal muscle and visceral adipose tissue in a pooled Canadian and UK cohort (n = 2100). Sex- and age-specific values for these features were calculated. For 1139 of 2100 patients, LOS data were available, and sex- and age-specific thresholds for sarcopenia, myosteatosis, and VO were defined on the basis of LOS. Association of CT-defined features with LOS and readmissions was explored using negative binomial and logistic regression models, respectively.Results In the multivariable analysis, the predictors of LOS (P < 0.001) were age, surgical approach, major complications (incidence rate ratio [IRR] 2.42; 95% confidence interval [CI] 2.18-2.68), study cohort, and three body composition profiles characterized by myosteatosis combined with either sarcopenia (IRR, 1.27; 95% CI 1.12-1.43) or VO (IRR, 1.25; 95% CI 1.10-1.42), and myosteatosis combined with both sarcopenia and VO (IRR, 1.58; 95% CI 1.29-1.93). In the multivariable analysis, risk of readmission was associated with VO alone (odds ratio [OR] 2.66; 95% CI 1.18-6.00); P = 0.018), VO combined with myosteatosis (OR, 2.72; 95% CI 1.36-5.46; P = 0.005), or VO combined with myosteatosis and sarcopenia (OR, 2.98; 95% CI 1.06-5.46; P = 0.038). Importantly, the effect of body composition profiles on LOS and readmission was independent of major complications.Conclusion The findings showed that CT-defined multidimensional body habitus is independently associated with LOS and hospital readmission.
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“Patients with higher levels of myosteatosis in colorectal cancer also demonstrated longer hospitalizations compared to those with lower levels (Martin et al., 2018).”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Martin et al., 2018
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Cites
Dindo, D., Demartines, N., & Clavien, P.-A. (2004) · Annals of Surgery · doi:10.1097/01.sla.0000133083.54934.ae · Cited by 31,378
Prado, C. M., Lieffers, J. R., McCargar, L. J., Reiman, T., Sawyer, M. B., Martin, L., & Baracos, V. E. (2008) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70153-0 · Cited by 3,238
Self-citationMartin, L., Birdsell, L., Macdonald, N., Reiman, T., Clandinin, M. T., McCargar, L. J., Murphy, R. A., Ghosh, S., Sawyer, M. B., & Baracos, V. E. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.2722 · Cited by 2,761
Mourtzakis, M., Prado, C. M. M., Lieffers, J. R., Reiman, T., McCargar, L. J., & Baracos, V. E. (2008) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h08-075 · Cited by 2,224
Sarcopenia: its assessment, etiology, pathogenesis, consequences and future perspectives
Rolland, Y., Czerwinski, S., van Kan, G. A., Morley, J. E., Cesari, M., Onder, G., Woo, J., Baumgartner, R., Pillard, F., Boirie, Y., et al. (2008) · The Journal of nutrition, health and aging · doi:10.1007/bf02982704 · Cited by 1,071
Shuster, A., Patlas, M. N., Pinthus, J. H., & Mourtzakis, M. (2011) · British Journal of Radiology · doi:10.1259/bjr/38447238 · Cited by 977
Lieffers, J. R. L., Bathe, O. F., Fassbender, K., Winget, M., & Baracos, V. E. (2012) · British Journal of Cancer · doi:10.1038/bjc.2012.350 · Cited by 831
Age-related changes in total and regional fat distribution
Kuk, J. L., Saunders, T. J., Davidson, L. E., & Ross, R. (2009) · Ageing Research Reviews · doi:10.1016/j.arr.2009.06.001 · Cited by 778
Quality of Complication Reporting in the Surgical Literature
Martin, R. C. G., Brennan, M. F., & Jaques, D. P. (2002) · Annals of Surgery · doi:10.1097/00000658-200206000-00007 · Cited by 624
Body composition and outcome in patients undergoing resection of colorectal liver metastases19
van Vledder, M. G., Levolger, S., Ayez, N., Verhoef, C. K., Tran, T. C. K., & IJzermans, J. N. M. (2012) · British journal of surgery · doi:10.1002/bjs.7823 · Cited by 464
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Correa-de-Araujo, R., Addison, O., Miljkovic, I., Goodpaster, B. H., Bergman, B. C., Clark, R. V., Elena, J. W., Esser, K. A., Ferrucci, L., Harris-Love, M. O., et al. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00963 · Cited by 468
Myosteatosis and prognosis in cancer: Systematic review and meta-analysis
Aleixo, G. F. P., Shachar, S. S., Nyrop, K. A., Muss, H. B., Malpica, L., & Williams, G. R. (2019) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2019.102839 · Cited by 347
Advances in muscle health and nutrition: A toolkit for healthcare professionals
Prado, C. M., Landi, F., Chew, S. T. H., Atherton, P. J., Molinger, J., Ruck, T., & Gonzalez, M. C. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.07.041 · Cited by 237
“Also importantly, patients with both myosteatosis and low muscle mass may present at greater risk for poorer outcomes, compared to each of these conditions alone [30,135].”
Backgroundde van der Schueren, M. A. E., Keller, H., Cederholm, T., Barazzoni, R., Compher, C., Correia, M. I. T. D., Gonzalez, M. C., Jager-Wittenaar, H., Pirlich, M., Steiber, A., et al. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2019.12.022 · Cited by 242
Ahn, H., Kim, D. W., Ko, Y., Ha, J., Shin, Y. B., Lee, J., Sung, Y. S., & Kim, K. W. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101398 · Cited by 221
Metadata
- Authors
- Martin, L., Hopkins, J., Malietzis, G., Jenkins, J. T., Sawyer, M. B., Brisebois, R., MacLean, A., Nelson, G., Gramlich, L., & Baracos, V. E.
- Affiliations
- University of Alberta (CA)
- St Mark's Hospital (GB)
- University of Calgary (CA)
- Corresponding author
- Baracos, Vickie E.
- ORCID
- Venue
- Annals of Surgical Oncology
- Published
- 2018-07-13
- Volume
- 25
- Issue
- 9
- Pages
- 2669-2680
- ISSN
- 1068-9265 (ISSN-L)
- 1534-4681
- OpenAlex
- W2884255416
- Cited by
- 139
- References
- 59
- Citations by year
- 2026: 17 · 2025: 11 · 2024: 20 · 2023: 10 · 2022: 24 · 2021: 23 · 2020: 22 · 2019: 11 · 2018: 1
- FWCI
- 9.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Annals of Surgical Oncology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alberta Innovates - Health Solutions (Partnership for Research, Innovation in the Hea)
- Alberta Health Services (Cancer Strategic Clinical Network Seed Grant)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Keywords
- colorectal cancer, sarcopenia, visceral obesity, myosteatosis, body composition, skeletal muscle radiodensity, visceral adipose tissue, length of hospital stay, postoperative complications, hospital readmission, elective colorectal surgery, preoperative risk assessment, surgical approach, major postoperative complications, risk stratification, prognostic factors
- MeSH terms
- Adipose Tissue, Aged, Body Composition, Female, Follow-Up Studies, Humans, Male, Patient Readmission, Postoperative Complications, Prognosis, Risk Factors, Tomography, X-Ray Computed, Colorectal Neoplasms, Cohort Studies, Survival Rate, Elective Surgical Procedures, Muscle, Skeletal, Sarcopenia
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