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C-反应蛋白/白蛋白比值作为老年患者营养状况的新预测指标。

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

机构信息

Department of Internal Medicine, Sakarya University Faculty of Medicine, Sakarya, Turkey.

Department of Neurology, Keşan State Hospital, Edirne, Turkey.

出版信息

Brain Behav. 2024 Sep;14(9):e70017. doi: 10.1002/brb3.70017.

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.

摘要

背景与目的

C 反应蛋白与白蛋白比值(CAR)是一种新型参数,已被报道为某些疾病的重要预后标志物。本研究旨在探讨该比值在老年患者营养状况预测中的价值。

方法和结果

本横断面研究纳入了 154 名(年龄≥65 岁)连续就诊于内科门诊的老年患者。采用微型营养评估(MNA)作为参考,确定患者的营养状况。根据 MNA 结果,患者被分为两组:营养正常和营养不良或有营养不良风险。营养不良或有营养不良风险患者的 CAR 中位数明显高于营养正常患者(p=0.012)。MNA 评分与 CAR 之间也存在显著负相关(r=-0.196,p=0.015)。受试者工作特征曲线分析表明,CAR 是营养不良或营养不良风险的显著预测因子(p=0.012)。

结论

CAR 可预测老年患者中哪些患者存在营养不良或有营养不良风险。CAR 可能成为老年患者营养筛查的一种新工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a024/11391020/94fe97a99c60/BRB3-14-e70017-g003.jpg

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