Background & aims: Elderly cancer patients are at particularly high risk for malnutrition because both the disease and the old age threaten their nutritional status. The Global Leadership Initiative on Malnutrition (GLIM) released new universal criteria for diagnosing and grading malnutrition, but the validation of these criteria in elderly cancer population is not well documented. Our objective was to investigate the application of the GLIM criteria in nutrition assessment and survival prediction in elderly cancer patients. Methods: This retrospective cohort analysis was conducted on a primary cohort of 1192 cancer patients aged 65 years or older enrolled from a multi-institutional registry, and a validation cohort of 300 elderly cancer patients treated at the First Affiliated Hospital of Sun Yat-sen University. Patients considered at-risk for malnutrition based on the NRS-2002 were assessed using the GLIM criteria. The association between the nutritional status and patients' overall survival (OS) was then analyzed by the Kaplan–Meier method and a Cox model. A nomogram was also established that included additional independent clinical prognostic variables. To determine the predictive accuracy and discriminatory capacity of the nomogram, the C-index, receiver operating characteristic (ROC) curve and calibration curve were evaluated. Results: The percentage of patients considered “at-risk” for malnutrition was 64.8% and 67.3% for the primary and validation cohorts, respectively. GLIM-defined malnutrition was diagnosed in 48.4% of patients in the primary cohort and 46.0% in the validation cohort. In the primary cohort, patients at risk of malnutrition (NRS-2002 ≥ 3) showed a worse OS than those with a NRS-2002 < 3 (HR 1.34, 1.10–1.64; p = 0.003). Additionally, patients with GLIM-defined severe malnutrition (HR1.71, 1.37–2.14; p < 0.001) or moderate malnutrition (HR1.35, 1.09–1.66; p = 0.006) showed a significantly shorter OS compared to those without malnutrition. The nomogram incorporating the domains of the GLIM with other variables was accurate, especially for predicting the 1- and 2-year overall survival rates. Conclusions: The GLIM criteria can be used in elderly cancer patients not only to assess malnutrition, but also to predict survival outcome. The nomogram developed based on the GLIM domains can provide a more accurate prediction of the prognosis than existing systems.

Zhang, X., Tang, M., Zhang, Q., Zhang, K., Guo, Z., Xu, H., et al. (2021). The GLIM criteria as an effective tool for nutrition assessment and survival prediction in older adult cancer patients. CLINICAL NUTRITION, 40(3 (March 2021)), 1224-1232 [10.1016/j.clnu.2020.08.004].

The GLIM criteria as an effective tool for nutrition assessment and survival prediction in older adult cancer patients

Braga M.;
2021

Abstract

Background & aims: Elderly cancer patients are at particularly high risk for malnutrition because both the disease and the old age threaten their nutritional status. The Global Leadership Initiative on Malnutrition (GLIM) released new universal criteria for diagnosing and grading malnutrition, but the validation of these criteria in elderly cancer population is not well documented. Our objective was to investigate the application of the GLIM criteria in nutrition assessment and survival prediction in elderly cancer patients. Methods: This retrospective cohort analysis was conducted on a primary cohort of 1192 cancer patients aged 65 years or older enrolled from a multi-institutional registry, and a validation cohort of 300 elderly cancer patients treated at the First Affiliated Hospital of Sun Yat-sen University. Patients considered at-risk for malnutrition based on the NRS-2002 were assessed using the GLIM criteria. The association between the nutritional status and patients' overall survival (OS) was then analyzed by the Kaplan–Meier method and a Cox model. A nomogram was also established that included additional independent clinical prognostic variables. To determine the predictive accuracy and discriminatory capacity of the nomogram, the C-index, receiver operating characteristic (ROC) curve and calibration curve were evaluated. Results: The percentage of patients considered “at-risk” for malnutrition was 64.8% and 67.3% for the primary and validation cohorts, respectively. GLIM-defined malnutrition was diagnosed in 48.4% of patients in the primary cohort and 46.0% in the validation cohort. In the primary cohort, patients at risk of malnutrition (NRS-2002 ≥ 3) showed a worse OS than those with a NRS-2002 < 3 (HR 1.34, 1.10–1.64; p = 0.003). Additionally, patients with GLIM-defined severe malnutrition (HR1.71, 1.37–2.14; p < 0.001) or moderate malnutrition (HR1.35, 1.09–1.66; p = 0.006) showed a significantly shorter OS compared to those without malnutrition. The nomogram incorporating the domains of the GLIM with other variables was accurate, especially for predicting the 1- and 2-year overall survival rates. Conclusions: The GLIM criteria can be used in elderly cancer patients not only to assess malnutrition, but also to predict survival outcome. The nomogram developed based on the GLIM domains can provide a more accurate prediction of the prognosis than existing systems.
Articolo in rivista - Articolo scientifico
Cancer patients; Elderly; GLIM criteria; Malnutrition; Survival;
English
10-ago-2020
2021
40
3 (March 2021)
1224
1232
none
Zhang, X., Tang, M., Zhang, Q., Zhang, K., Guo, Z., Xu, H., et al. (2021). The GLIM criteria as an effective tool for nutrition assessment and survival prediction in older adult cancer patients. CLINICAL NUTRITION, 40(3 (March 2021)), 1224-1232 [10.1016/j.clnu.2020.08.004].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/337628
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