Liu Wanghao, Sun Xiaoying
Wanghao Liu, Department of Endocrinology, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, 2088 Tiaoxi East Road, Huzhou, Zhejiang Province 313000, P.R. China.
Xiaoying Sun, Department of Endocrinology, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, 2088 Tiaoxi East Road, Huzhou, Zhejiang Province 313000, P.R. China.
Pak J Med Sci. 2025 Apr;41(4):1219-1225. doi: 10.12669/pjms.41.4.11539.
The elderly are at a high risk of malnutrition as well as osteoporosis. In this review, we examined if the geriatric nutritional risk index (GNRI) can predict the risk of osteoporosis in the elderly.
In this PRISMA compliant systematic review we searched the electronic databases of PubMed, Embase, ScienceDirect, and Web of Science. The search included studies from inception of databases to December 29, 2023. All studies examining the association between GNRI and osteoporosis were included.
Seven studies were selected. All studies were cross-sectional in design. Meta-analysis of all seven studies showed that low GNRI was significantly associated with the risk of osteoporosis in elderly patients (OR: 1.33 95% CI: 1.15, 1.53). The interstudy heterogeneity was high as the I value was 87%. Results did not change on sensitivity analysis. Subgroup analysis based on study location, presence of diabetes, sample size, GNRI cut-off, method to determine cut-off, and diagnostic criteria for osteoporosis showed mixed results.
Low GNRI can be a simple marker for predicting osteoporosis in the elderly. Current evidence is from a few studies with a high risk of bias.
老年人面临营养不良和骨质疏松的高风险。在本综述中,我们研究了老年营养风险指数(GNRI)是否能够预测老年人患骨质疏松症的风险。
在这项符合PRISMA标准的系统综述中,我们检索了PubMed、Embase、ScienceDirect和Web of Science的电子数据库。检索范围包括从数据库建立之初到2023年12月29日的研究。纳入所有研究GNRI与骨质疏松症之间关联的研究。
共筛选出7项研究。所有研究均为横断面设计。对这7项研究的荟萃分析表明,低GNRI与老年患者患骨质疏松症的风险显著相关(比值比:1.33;95%置信区间:1.15,1.53)。由于I值为87%,研究间异质性较高。敏感性分析结果未发生变化。基于研究地点、糖尿病的存在、样本量、GNRI临界值、确定临界值的方法以及骨质疏松症的诊断标准进行的亚组分析结果不一。
低GNRI可能是预测老年人骨质疏松症的一个简单指标。目前的证据来自少数存在高偏倚风险的研究。