Liu C, Lu Z, Chen L, Yang X, Xu J, Cui H, Zhu M
Mingwei 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:
J Nutr Health Aging. 2022;26(2):153-156. doi: 10.1007/s12603-022-1729-4.
To compare the association of geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) scores with malnutrition, and to study their association with clinical outcomes in older adult cancer patients.
This retrospective analysis was conducted on 854 older adult cancer patients collected from 34 hospitals in 18 cities in China between June and September 2014. Anthropometric and hematological examination results at admission were collected, and subjective global assessment was used. Clinical outcomes, such as complications, length of hospital stays, and hospital costs, were recorded. Receiver operating characteristic curves were used to evaluate the accuracy of the two nutritional assessment tools for malnutrition. The association between GNRI and CONUT score and clinical outcomes was analyzed using the chi-square test, t-test, or rank sum test.
Among 854 patients with cancer, the prevalence of malnutrition was 42.7%. Compared with subjective global assessment, the GNRI had a significantly higher accuracy than the CONUT score in predicting malnutrition (area under the curve 0.704, 95% confidence interval, 0.658 - 0.750, P < 0.001). The GNRI was significantly associated with the occurrence of complications (χ2 = 4.985, P = 0.026), and low GNRI (≤98) was associated with a longer length of hospital stay (t = -2.179, P = 0.030).
The GNRI may be used to assess malnutrition in older adult cancer patients and can predict poor clinical outcomes in these patients.
比较老年营养风险指数（GNRI）和控制营养状况（CONUT）评分与营养不良的相关性，并研究它们与老年癌症患者临床结局的相关性。
对2014年6月至9月间从中国18个城市34家医院收集的854例老年癌症患者进行回顾性分析。收集入院时的人体测量和血液学检查结果，并采用主观全面评定法。记录并发症、住院时间和住院费用等临床结局。采用受试者工作特征曲线评估两种营养评估工具对营养不良的评估准确性。采用卡方检验、t检验或秩和检验分析GNRI和CONUT评分与临床结局之间的相关性。
854例癌症患者中，营养不良患病率为42.7%。与主观全面评定法相比，GNRI在预测营养不良方面的准确性显著高于CONUT评分（曲线下面积0.704，95%置信区间0.658 - 0.750，P < 0.001）。GNRI与并发症的发生显著相关（χ2 = 4.985，P = 0.026），低GNRI（≤98）与住院时间延长相关（t = -2.179，P = 0.030）。
GNRI可用于评估老年癌症患者的营养不良情况，并可预测这些患者不良的临床结局。
