Treatise: Clinical Practice

Predictive value of the geriatric nutritional risk index for infection risk and implications for stratified management in patients with erythroderma

  • Suhua XU ,
  • Wei HE ,
  • Lina GUO ,
  • Shuxian LIN ,
  • Yingxi HE ,
  • Xinzhu XU ,
  • Wen SHENG ,
  • Senling QIU
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  • 1.Department of Clinical Nutrition,Guangdong Provincial Hospital of Chinese Medicine,,Guangzhou 510180,Guangdong,China
    2.Department of Dermatology,Guangdong Provincial Hospital of Chinese Medicine,,Guangzhou 510180,Guangdong,China
    3.Guangdong Medical Academic Exchange Center (Guangdong Medical Information Research Institute),,Guangzhou 510180,Guangdong,China
    4.Department of Medical Innovation and Achievement Transformation,Guangdong Medical Association,Guangzhou 510180,Guangdong,China

Received date: 2025-12-30

  Online published: 2026-04-28

Abstract

Objective To investigate the association between the Geriatric Nutritional Risk Index (GNRI) and the prognosis of patients with erythroderma, and to assess its effectiveness in predicting adverse outcomes, thus providing a basis for nutrition risk stratification and management. Methods A total of 183 hospitalized patients aged ≥ 60 years with erythroderma from the Guangdong Provincial Hospital of Chinese Medicine between August 2017 and October 2024 were recruited. Clinical data were gathered, and the GNRI was computed. The subjects were classified into a no nutritional risk group (n = 78), a mild nutritional risk group (n = 39), and a moderate-to-severe nutritional risk group (n = 66) according to their GNRI. A generalized linear model was employed to analyze the association between the GNRI and prognosis, and receiver operating characteristic (ROC) curves were drawn to assess the predictive performance of the GNRI for prognosis. Results The moderate-to-severe nutritional risk group exhibited a significantly elevated risk of infection (OR = 4.81, 95%CI: 1.54 - 15.99, P = 0.007). Specifically, there was a higher risk of pulmonary infection (OR = 8.00, 95%CI: 1.01-63.28, P = 0.049), and a significantly extended hospital stay (β = 2.53, 95%CI: 0.96 - 4.10, P = 0.002). The area under the curve (AUC) of GNRI for predicting infection in patients with erythroderma was 0.71 (95%CI: 0.61 - 0.81), and the AUC for predicting pulmonary infection was 0.81 (95%CI: 0.65 - 0.96). Conclusions The GNRI serves as an effective indicator for predicting infections, especially pulmonary infections, among elderly patients suffering from erythroderma. Moderate-to-severe nutritional risk is notably correlated with elevated infection rates and extended hospital stays. Consequently, it is advisable to adopt the GNRI as a routine nutritional screening tool for elderly erythroderma patients and to carry out early interventions based on risk stratification to enhance clinical outcomes.

Cite this article

Suhua XU , Wei HE , Lina GUO , Shuxian LIN , Yingxi HE , Xinzhu XU , Wen SHENG , Senling QIU . Predictive value of the geriatric nutritional risk index for infection risk and implications for stratified management in patients with erythroderma[J]. The Journal of Practical Medicine, 2026 , 42(8) : 1456 -1462 . DOI: 10.3969/j.issn.1006-5725.2026.08.021

References

[1] PANG Y, NGUYEN W Q, GUERRERO L I, et al. Deciphering the Etiologies of Adult Erythroderma: An Updated Guide to Presentations, Diagnostic Tools, Pathophysiologies, and Treatments[J]. Am J Clin Dermatol, 2024, 25(6): 927-950. doi:10.1007/s40257-024-00886-9 .
[2] TSO S, SATCHWELL F, MOIZ H, et al. Erythroderma (exfoliative dermatitis). Part 1: Underlying causes, clinical presentation and pathogenesis[J]. Clin Exp Dermatol, 2021, 46(6): 1001-1010. doi:10.1111/ced.14625 .
[3] 胡龄予. 红皮病105例临床分析[D]. 昆明: 昆明医科大学, 2023. doi:10.27202/d.cnki.gkmyc.2023.000703 .
[4] 李园园, 施东雯, 孙淑娟, 等. 165例红皮病临床分析[J]. 皮肤性病诊疗学杂志, 2020, 27(3): 160-163,167. doi:10.3969/j.issn.1674-8468.2020.03.005 .
[5] MOHD NOOR N, HUSSEIN S H. Transepidermal water loss in erythrodermic patients of various aetiologies[J]. Skin Res Technol, 2013, 19(3): 320-323. doi:10.1111/srt.12048 .
[6] CALLEN J P, JORIZZO J L, ZONE J J, et al. Dermatological Signs of Systemic Disease [M]. 5th ed. Edinburgh: Elsevier, 2016.
[7] TSO S, MOIZ H, SATCHWELL F, et al. Erythroderma (exfoliative dermatitis). Part 2: Energy homeostasis and dietetic management strategies[J]. Clin Exp Dermatol, 2021, 46(6): 1011-1015. doi:10.1111/ced.14667 .
[8] 李天颖, 常艳, 史燕如, 等. 某医院脑卒中住院患者营养风险、营养不良状况调查[J]. 中国初级卫生保健, 2024, 38(9): 108-110. doi:10.3969/j.issn.1001-568X.2024.09.0030 .
[9] 韩孝红, 焦聪聪, 程立雪, 等. 住院患者营养风险筛查及影响因素分析[J]. 中国医药科学, 2024, 14(16): 110-113,159. doi:10.20116/j.issn2095-0616.2024.16.27 .
[10] 陈云峰, 魏颖俊, 潘雅萍, 等. 老年肺康复住院患者营养状况调查及其影响因素分析[J]. 中国老年保健医学, 2024, 22(4): 92-98. doi:10.3969/j.issn.1672-2671.2024.04.020 .
[11] BOUILLANNE O, MORINEAU G, DUPONT C, et al. Geriatric Nutritional Risk Index: A new index for evaluating at-risk elderly medical patients[J]. Am J Clin Nutr, 2005, 82(4): 777-783. doi:10.1093/ajcn/82.4.777 .
[12] 代美, 李昌秀, 周静, 等. 老年营养风险指数临床应用的研究进展[J]. 护理研究, 2024, 38(9): 1622-1626. doi:10.12102/j.issn.1009-6493.2024.09.020 .
[13] 黄媛媛, 李昭, 宋丽丽, 等. 营养状态对急性心肌梗死合并心力衰竭患者预后的影响[J]. 心肺血管病杂志, 2023, 42(12): 1206-1211, 1225. doi:10.3969/j.issn.1007-5062.2023.12.003 .
[14] 李冠成. 老年营养风险指数(GNRI)与老年胆总管结石患者术后并发症的相关性分析[D]. 赣州: 赣南医科大学, 2024. doi:10.27959/d.cnki.ggnyx.2024.000112 .
[15] 莫乔莹, 朱芳一, 祝存奎, 等. 基于GNRI评分构建慢性心力衰竭患者营养不良风险的列线图模型[J]. 实用医学杂志, 2025, 41(5): 691-698. doi:10.3969/j.issn.1006-5725.2025.05.011 .
[16] 张尧, 杨艳玲. 蛋白质营养不良致红皮病1例报告[J]. 北京医学, 2018, 40(7): 720-721. doi:10.15932/j.0253-9713.2018.07.035 .
[17] PULIDO-PéREZ A, BERGóN-SENDíN M, SUáREZ-FERNáNDEZ R, et al. Skin and sepsis: Contribution of dermatology to a rapid diagnosis[J]. Infection, 2021, 49(4): 617-629. doi:10.1007/s15010-021-01608-7 .
[18] KLINIEC K, SNOPKOWSKA A, ?YKO M, et al. Erythroderma: A Retrospective Study of 212 Patients Hospitalized in a Tertiary Center in Lower Silesia, Poland[J]. J Clin Med, 2024, 13(3): doi:10.3390/jcm13030645. doi:10.3390/jcm13030645
[19] VALLERAND I A, LEWINSON R T, FARRIS M S, et al. Efficacy and adverse events of oral isotretinoin for acne: A systematic review[J]. British Journal of Dermatology, 2018, 178(1): 76-85. doi:10.1111/bjd.15668 .
[20] 魏孟, 戴晓婧, 唐崎, 等. 胃肠息肉切除患者住院时间及焦虑情绪的影响因素分析[J]. 联勤军事医学, 2024, 38(10): 866-870, 887. doi:10.13730/j.issn.2097-2148.2024.10.009 .
[21] WIEDERMANN C J. Hypoalbuminemia as Surrogate and Culprit of Infections[J]. Int J Mol Sci, 2021, 22(9): 4496. doi:10.3390/ijms22094496 .
[22] DICKSON R P, SINGER B H, NEWSTEAD M. W, et al. Enrichment of the lung microbiome with gut bacteria in sepsis and the acute respiratory distress syndrome[J]. Nat Microbiol, 2016, 1(10): 16113. doi:10.1038/nmicrobiol.2016.113 .
[23] 张玲玲, 曹劝劝, 高文君, 等. 老年营养风险指数对COPD急性加重期患者30d再入院的预测价值[J]. 护理学杂志, 2024, 39(15): 92-96. doi:10.3870/j.issn.1001-4152.2024.15.092 .
[24] 麦梓玲. 冠心病患者营养不良与长期预后的相关性分析[D]. 广州: 华南理工大学, 2022. doi:10.27151/d.cnki.ghnlu.2022.000364 .
[25] 张晓楠, 熊雅俊, 许爱国. 基于老年营养风险指数构建老年非小细胞肺癌患者的预后模型[J]. 中国肺癌杂志, 2023, 26(7): 497-506. doi:10.3779/j.issn.1009-3419.2023.106.14 .
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