Malnutrition and overall survival in older patients with cancer. Clin Nutr 2021 Mar;40(3):966-977
Date
07/16/2020Pubmed ID
32665101DOI
10.1016/j.clnu.2020.06.026Scopus ID
2-s2.0-85087746368 (requires institutional sign-in at Scopus site) 26 CitationsAbstract
BACKGROUND & AIMS: In this study, we assessed the prevalence of malnutrition and its association with overall survival among patients with cancer aged 65 years and older.
METHODS: In this retrospective cohort study, patients receiving cancer care underwent a comprehensive geriatric assessment (CGA). Malnutrition status was determined through the CGA. We used univariate and multivariable Cox regression survival analyses to assess the association between baseline malnutrition and survival.
RESULTS: A total of 454 patients with cancers were included in the analysis. The median age was 78 years and men and women were equally represented. Forty-two percent (n = 190) were malnourished at baseline, and 33% died during the follow-up (range 0.2-51.1 month). Univariate analysis showed that malnutrition increased the risk of all-cause mortality in older patients with cancer (HR, 1.49; 95% CI, 1.08-2.05; p = 0.01). In the multivariate Cox regression model, malnutrition increased the risk of all-cause mortality (HR, 1.87; 95% CI, 1.10-3.17; p = 0.02) in older patients with solid tumors. However, malnutrition did not increase the risk of all-cause mortality for hematologic malignancies.
CONCLUSIONS: In our study, we found that malnutrition was a risk factor for mortality in older cancer patients, especially in older patients with solid tumors. Prospective inter ventional studies are recommended.
Author List
Zhang X, Pang L, Sharma SV, Li R, Nyitray AG, Edwards BJAuthor
Alan Nyitray PhD Associate Professor in the Psychiatry and Behavioral Medicine department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AgedAged, 80 and over
Cause of Death
Female
Geriatric Assessment
Humans
Male
Malnutrition
Neoplasms
Nutrition Assessment
Nutritional Status
Prevalence
Proportional Hazards Models
Retrospective Studies
Risk Factors
Survival Analysis
