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Predictive Value of Geriatric Nutritional Risk Index in Older Adult Cancer Patients
1Mingwei Zhu, Hongyuan Cui, Department of General Surgery, Department of Hepato-bilio-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, China, Email: zhumw2013@163.com;
The Geriatric Nutritional Risk Index (GNRI) is more accurate than the Controlling Nutritional Status (CONUT) score for identifying malnutrition in older cancer patients. GNRI also predicts complications and longer hospital stays.
Area of Science:
- Geriatric Medicine
- Oncology
- Nutritional Science
Background:
- Malnutrition is prevalent in older adult cancer patients.
- Accurate nutritional assessment is crucial for managing clinical outcomes.
- Existing tools like GNRI and CONUT require comparative evaluation in this population.
Purpose of the Study:
- To compare the accuracy of GNRI and CONUT scores in identifying malnutrition among older adult cancer patients.
- To investigate the association between GNRI and CONUT scores and clinical outcomes, including complications and hospital stay duration.
Main Methods:
- A retrospective analysis of 854 older adult cancer patients from 34 Chinese hospitals.
- Collection of anthropometric and hematological data, and use of subjective global assessment for malnutrition diagnosis.
- Evaluation of GNRI and CONUT accuracy using ROC curves and analysis of clinical outcome associations via statistical tests.
Main Results:
- The prevalence of malnutrition was 42.7% in the study cohort.
- GNRI demonstrated significantly higher accuracy in predicting malnutrition compared to CONUT (AUC = 0.704).
- Low GNRI scores (≤98) were significantly associated with increased complication rates and longer hospital stays.
Conclusions:
- GNRI is a reliable tool for assessing malnutrition in older adult cancer patients.
- GNRI can effectively predict adverse clinical outcomes, including complications and prolonged hospitalization.
- Findings support the use of GNRI for nutritional risk stratification and management in this patient group.
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