NLR、PLR与住院患者COVID-19严重程度的相关性

Fitriana Andiani, Rita Herawati, Y. Triyani
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引用次数: 1

摘要

在COVID-19疫情持续期间,有必要根据病情严重程度评估对COVID-19患者进行分类,以优化现有资源配置和早期管理干预,改善预后。中性粒细胞与淋巴细胞比率(NLR)和血小板与淋巴细胞比率(PLR)是所有卫生设施中最常见、简单、廉价、快速和广泛可用的两种检测方法,可间接指示COVID-19患者的炎症状况。本研究旨在分析NLR和PLR与COVID-19住院患者严重程度的相关性。本横断面研究回顾性分析了2021年1月至3月在万隆伊斯兰医院住院的COVID-19患者的病历数据。本研究纳入的COVID-19患者分为中度、重度和危重度。采用方差分析或Kruskal-Wallis和Spearman进行统计学分析,p < 0.05。基于严重程度的NLR和PLR中位数为3.49;6.27;8.4 (p<0.001)和159.2;202.6;250.9 (p<0001)。NLR、PLR与严重程度的相关性分别为r= 0.415 (p<0.001)和r=0.216 (p<0.001)。NLR与严重程度的相关性强于PLR。因此,我们认为NLR和PLR与COVID-19患者的严重程度存在相关性。
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Correlation between NLR and PLR with the Severity of COVID-19 Inpatients
When the COVID-19 outbreak is ongoing, the classification of COVID-19 patients based on the severity assessment is necessary to optimize the allocation of existing resources and early management interventions to improve prognosis. Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) are two of the most common, simple, inexpensive, rapid, and widely available tests in all health facilities, which indirectly indicate the inflammatory status of COVID-19 patients. This study aimed to analyze the correlation between NLR and PLR with the severity of COVID-19 inpatients. This cross-sectional study was conducted retrospectively using medical record data of COVID-19 patients hospitalized at Al Islam Hospital, Bandung, from January to March 2021. COVID-19 patients involved in this study were classified into moderate, severe, and critical degrees. Statistical analysis was carried out using ANOVA or Kruskal-Wallis and Spearman with a significant value of p < 0.05. The median NLR and PLR results based on the severity were 3.49; 6.27; 8.4 (p<0.001) and 159.2; 202.6; 250.9 (p<0001), respectively. There was a correlation between NLR and PLR and the severity with r= 0.415 (p<0.001) and r=0.216 (p<0.001), respectively. The correlation between NLR and the severity was stronger than PLR. Therefore, it was concluded that there was a correlation between NLR and PLR with the severity of COVID-19 patients.
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