C-reactive protein/albumin ratio as a novel predictor for nutritional status of geriatric patients

8Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background and aims: The C-reactive protein to albumin ratio (CAR) is a novel parameter that has been reported as a significant prognostic marker in some diseases. The purpose of the present research was to investigate the predictive value of this ratio with regard to nutritional status in geriatric patients. Methods and results: A total of 154 geriatric patients (age ≥65 years) who consecutively presented to the internal medicine outpatient clinic were included in this cross-sectional study. The Mini Nutritional Assessment (MNA) was used as a reference to determine the nutritional status of the patients. Based on the MNA results, the patients were divided into two groups: normal nutrition and malnourished or at risk of malnutrition. The median CAR of malnourished patients or those at risk of malnutrition was significantly higher than that of patients with normal nutritional status (p =.012). A significant negative correlation was also observed between the MNA score and the CAR (r = −0.196, p =.015). The receiver operating characteristic curve analysis indicated that the CAR was a significant predictor of malnourishment or the risk of malnutrition (p =.012). Conclusion: The CAR could predict which geriatric patients were malnourished or at risk of malnutrition. CAR may be used as a new tool in the nutritional screening of geriatric patients.

Cite

CITATION STYLE

APA

Kaya, T., Ulaş, S. B., Nalbant, A., Yıldırım, İ., İşsever, K., Karacaer, C., … Köroğlu, M. (2024). C-reactive protein/albumin ratio as a novel predictor for nutritional status of geriatric patients. Brain and Behavior, 14(9). https://doi.org/10.1002/brb3.70017

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free