BMC Geriatrics (Dec 2021)

PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer

  • Qi Zhang,
  • Xiang-Rui Li,
  • Xi Zhang,
  • Jia-Shan Ding,
  • Tong Liu,
  • Liang Qian,
  • Meng-Meng Song,
  • Chun-Hua Song,
  • Rocco Barazzoni,
  • Meng Tang,
  • Kun-Hua Wang,
  • Hong-Xia Xu,
  • Han-Ping Shi,
  • Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC) Group

DOI
https://doi.org/10.1186/s12877-021-02662-4
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 9

Abstract

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Abstract Background This study was sought to report the prevalence of malnutrition in elderly patients with cancer. Validate the predictive value of the nutritional assessment tool (Patient-Generated Subjective Global Assessment Short Form, PG-SGA SF) for clinical outcomes and assist the therapeutic decision. Methods This is a secondary analysis of a multicentric, observational cohort study. Elderly patients with cancer older than 65 years were enrolled after the first admission. Nutritional status was identified using the PG-SGA SF. Results Of the 2724 elderly patients included in the analysis, 65.27% of patients were male (n = 1778); the mean age was 71.00 ± 5.36 years. 31.5% of patients were considered malnourished according to PG-SGA SF. In multivariate analysis, malnutrition(PG-SGA SF > 5) was significantly associated with worse OS (HR: 1.47,95%CI:1.29–1.68), affects the quality of life, and was related to more frequent nutrition impact symptoms. During a median follow-up of 4.5 years, 1176 death occurred. The mortality risk was 41.10% for malnutrition during the first 12 months and led to a rate of 323.98 events per-1000-patient-years. All nutritional assessment tools were correlated with each other (PG-SGA SF vs. PG-SGA: r = 0.98; PG-SGA SF vs. GLIM[Global Leadership Initiative on Malnutrition]: r = 0.48, all P < 0.05). PG-SGA SF and PG-SGA performed similarly to predict mortality but better than GLIM. PG-SGA SF improves the predictive ability of the TNM classification system for mortality in elderly patients with cancer, including distinguishing patients’ prognoses and directing immunotherapy. Conclusions The nutritional status as measured by PG-SGA SF which is a prognostic factor for OS in elderly cancer patients and could improve the prognostic model of TNM.

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