Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, P.O. Box 330127, Zarqa 13133, Jordan.
J Infect Public Health. 2022 Dec;15(12):1472-1476. doi: 10.1016/j.jiph.2022.11.006. Epub 2022 Nov 11.
Coronavirus disease 2019 (COVID-19) causes malnutrition in infected patients. This study aimed to investigate the use of systemic immune-inflammatory index (SII), platelet-to-lymphocyte ratio (PLR), the Glasgow Prognostic Score (GPS), and neutrophil-to-lymphocyte ratio (NLR) for malnutrition assessment among COVID-19 inpatients.
This is a single-center retrospective study on 108 hospitalized COVID-19 patients; 14 were admitted to the intensive care unit (ICU). Data were collected from patients' profiles while NLR, PLR, GPS, and SII were calculated. Inflammatory indices' predictive power was analyzed using the receiver operating characteristic curve (ROC). A P-value of < 0.05 was considered statistically significant.
Hospitalization days, neutrophils count, C-reactive protein (CRP), and serum urea levels were significantly higher in ICU patients. None of SII, PLR, and NLR were significantly different between ICU and non-ICU groups. Also, albumin and GPS showed a higher sensitivity level (100.0), followed by PLR and SII (78.57 and 71.34, respectively). Regarding ROC curves, even though NLR, PLR, and SII provided the largest area under the curve (AUC) (0.687, 0.682, 0.645; respectively), they have shown a poor discrimination ability, while GPS and albumin were ineffective in predicting malnutrition in COVID-19 patients.
NLR, SII, and PLR showed poor predicting ability for malnutrition among COVID-19 inpatients. Additional consideration should be taken for using inflammatory parameters (SII, PLR, GPS, and NLR) to predict malnutrition in COVID-19 inpatients.
2019 年冠状病毒病（COVID-19）可导致感染患者发生营养不良。本研究旨在探讨全身免疫炎症指数（SII）、血小板与淋巴细胞比值（PLR）、格拉斯哥预后评分（GPS）和中性粒细胞与淋巴细胞比值（NLR）在 COVID-19 住院患者营养不良评估中的应用。
这是一项对 108 例住院 COVID-19 患者的单中心回顾性研究；其中 14 例患者入住重症监护病房（ICU）。从患者病历中收集数据，同时计算 NLR、PLR、GPS 和 SII。使用受试者工作特征曲线（ROC）分析炎症指数的预测能力。P 值<0.05 被认为具有统计学意义。
ICU 患者的住院天数、中性粒细胞计数、C 反应蛋白（CRP）和血清尿素水平显著升高。SII、PLR 和 NLR 在 ICU 和非 ICU 组之间均无显著差异。此外，白蛋白和 GPS 的灵敏度水平较高（100.0%），其次是 PLR 和 SII（分别为 78.57%和 71.34%）。关于 ROC 曲线，尽管 NLR、PLR 和 SII 提供的曲线下面积（AUC）最大（分别为 0.687、0.682 和 0.645），但它们的区分能力较差，而 GPS 和白蛋白对预测 COVID-19 患者的营养不良无效。
NLR、SII 和 PLR 对 COVID-19 住院患者的营养不良预测能力较差。在预测 COVID-19 住院患者的营养不良时，应考虑使用炎症参数（SII、PLR、GPS 和 NLR）。
