Nutritional status, CT body composition measures and survival in ovarian cancer

Michelle L. Torres, Lynn C. Hartmann, William Arthur Cliby, Kimberly R. Kalli, Phillip M. Young, Amy L. Weaver, Carrie L. Langstraat, Aminah Jatoi, Sanjeev Kumar, Andrea Mariani

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Objective Body composition measures (BCMs) are an important predictor of nutritional status in patients with cancer. Poor nutritional status is common in ovarian cancer (OC) and is a well-known variable that influences cancer treatment and outcome. We aim to establish the role of BCMs measured by computed tomography (CT) in predicting outcomes in patients with OC. Methods We retrospectively searched our institutional database for patients with stage IIIC/IV OC who underwent surgery as primary treatment at Mayo Clinic between 1996 and 2005 and had adequate presurgical CT images available. For each patient, 1 axial CT image at the level of the 3rd lumbar vertebra was evaluated. Adipose and lean tissues were discriminated using commercially available software. Cox models were fit to evaluate the relationship between patient factors and overall survival (OS). Associations were summarized using hazard ratios (HRs) and corresponding 95% CIs. Results A total of 82 patients were identified, with a median age of 68.4 years. OS at 1 and 5 years was 84.1% and 24.1%, respectively. Older age (P =.01), stage IV disease (P <.001), and subcutaneous and muscular fat < 77.21 cm2 (P <.001) were independently associated with poor OS. Longer hospital stay was independently predicted by albumin ≤ 3 g/dL (P =.03), suboptimal surgery (P =.02), and subcutaneous and muscular fat < 77.21 cm2 (P <.001). Surgical complications were independently predicted only by albumin ≤ 3 g/dL (P <.01). Conclusions CT BCMs, as indicators of nutritional status, are independent predictors of longer hospital stay and poor OS in patients with OC.

Original languageEnglish (US)
Pages (from-to)548-553
Number of pages6
JournalGynecologic Oncology
Volume129
Issue number3
DOIs
StatePublished - Jun 2013

Fingerprint

Body Weights and Measures
Body Composition
Nutritional Status
Ovarian Neoplasms
Tomography
Survival
Subcutaneous Fat
Albumins
Length of Stay
Lumbar Vertebrae
Proportional Hazards Models
Adipose Tissue
Neoplasms
Software
Databases

Keywords

  • Body composition measures
  • Computed tomography
  • Nutrition
  • Ovarian cancer
  • Survival

ASJC Scopus subject areas

  • Obstetrics and Gynecology
  • Oncology

Cite this

Torres, M. L., Hartmann, L. C., Cliby, W. A., Kalli, K. R., Young, P. M., Weaver, A. L., ... Mariani, A. (2013). Nutritional status, CT body composition measures and survival in ovarian cancer. Gynecologic Oncology, 129(3), 548-553. https://doi.org/10.1016/j.ygyno.2013.03.003

Nutritional status, CT body composition measures and survival in ovarian cancer. / Torres, Michelle L.; Hartmann, Lynn C.; Cliby, William Arthur; Kalli, Kimberly R.; Young, Phillip M.; Weaver, Amy L.; Langstraat, Carrie L.; Jatoi, Aminah; Kumar, Sanjeev; Mariani, Andrea.

In: Gynecologic Oncology, Vol. 129, No. 3, 06.2013, p. 548-553.

Research output: Contribution to journalArticle

Torres, ML, Hartmann, LC, Cliby, WA, Kalli, KR, Young, PM, Weaver, AL, Langstraat, CL, Jatoi, A, Kumar, S & Mariani, A 2013, 'Nutritional status, CT body composition measures and survival in ovarian cancer', Gynecologic Oncology, vol. 129, no. 3, pp. 548-553. https://doi.org/10.1016/j.ygyno.2013.03.003
Torres, Michelle L. ; Hartmann, Lynn C. ; Cliby, William Arthur ; Kalli, Kimberly R. ; Young, Phillip M. ; Weaver, Amy L. ; Langstraat, Carrie L. ; Jatoi, Aminah ; Kumar, Sanjeev ; Mariani, Andrea. / Nutritional status, CT body composition measures and survival in ovarian cancer. In: Gynecologic Oncology. 2013 ; Vol. 129, No. 3. pp. 548-553.
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abstract = "Objective Body composition measures (BCMs) are an important predictor of nutritional status in patients with cancer. Poor nutritional status is common in ovarian cancer (OC) and is a well-known variable that influences cancer treatment and outcome. We aim to establish the role of BCMs measured by computed tomography (CT) in predicting outcomes in patients with OC. Methods We retrospectively searched our institutional database for patients with stage IIIC/IV OC who underwent surgery as primary treatment at Mayo Clinic between 1996 and 2005 and had adequate presurgical CT images available. For each patient, 1 axial CT image at the level of the 3rd lumbar vertebra was evaluated. Adipose and lean tissues were discriminated using commercially available software. Cox models were fit to evaluate the relationship between patient factors and overall survival (OS). Associations were summarized using hazard ratios (HRs) and corresponding 95{\%} CIs. Results A total of 82 patients were identified, with a median age of 68.4 years. OS at 1 and 5 years was 84.1{\%} and 24.1{\%}, respectively. Older age (P =.01), stage IV disease (P <.001), and subcutaneous and muscular fat < 77.21 cm2 (P <.001) were independently associated with poor OS. Longer hospital stay was independently predicted by albumin ≤ 3 g/dL (P =.03), suboptimal surgery (P =.02), and subcutaneous and muscular fat < 77.21 cm2 (P <.001). Surgical complications were independently predicted only by albumin ≤ 3 g/dL (P <.01). Conclusions CT BCMs, as indicators of nutritional status, are independent predictors of longer hospital stay and poor OS in patients with OC.",
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AU - Weaver, Amy L.

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