中性粒细胞与淋巴细胞比值和Hs-CRP预测COVID-19患者死亡率

Evi Nurhayatun, N. Prabowo, Dhani Redhono Harioputro, Wachid Putranto, D. Indarto, B. Purwanto
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摘要

背景:炎症在COVID-19的发病机制中起重要作用,并可能是影响预后的重要因素。对呼吸道感染的先天免疫反应的特征是中性粒细胞涌入肺部,特别是肺泡。抗炎细胞因子的持续释放可能导致淋巴细胞的广泛凋亡,导致淋巴细胞减少。Hs-CRP是COVID-19炎症的指标。本研究的目的是分析中性粒细胞与淋巴细胞比率(NLR)和Hs-CRP,以预测COVID-19患者的死亡率。研究方法:本研究于2020年7月在Moewardi医院进行。研究对象为COVID-19患者。NLR是使用血液学分析仪将中性粒细胞分为淋巴细胞。采用ELISA法检测Hs-CRP。统计学检验采用独立t检验,cox比例风险分析p <0.05。结果:新冠肺炎患者Hs-CRP和NLR在死亡后升高,生存水平较低(p = 0.001和p = 0.11)。Hs-CRP增加了COVID-19患者的死亡风险(p = 0.18;HR = 1.036), NLR也增加了COVID-19患者的死亡风险(p = 0.08;HR = 1.34)结论:中性粒细胞与淋巴细胞比和Hs-CRP可预测COVID-19患者的死亡率
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Neutrophil to Lymphocyte Ratio and Hs-CRP Predict Mortality in COVID-19 Patients
Background: Inflammation plays an important role in the pathogenesis of COVID-19 and can be an important factor in the prognosis. The innate immune response to a respiratory infection is characterised by an influx of neutrophils to the lungs, particularly the alveoli. A sustained release of anti-inflammatory cytokines may lead to widespread apoptosis of lymphocytes, resulting in lymphopenia. Hs-CRP is an indicator of COVID-19 inflammation. The aim of this study was to analyse Neutrophilto-Lymphocyte Ratio (NLR) and Hs-CRP in order to predict mortality in COVID-19 patients. Research methods: This research was conducted at Moewardi Hospital in July 2020. The subjects were COVID-19 patients. NLR is neutrophils divided by lymphocytes using a haematology analyser. The examination of Hs-CRP was conducted utilizing the ELISA method. Statistical test with an independent T-test and cox proportional hazard analysis with p <0.05 was also used. Results: The results showed that Hs-CRP and NLR increased in COVID-19 patients who later died and obtained lower levels of surviving (p = 0.001 and p = 0.11). Hs-CRP increased the risk of death for COVID-19 patients (p = 0.18;HR = 1.036) and NLR also increased the risk of death for COVID-19 patients (p = 0.08;HR = 1.34) Conclusion: Neutrophil-to-Lymphocyte Ratio and Hs-CRP predicted mortality in COVID-19 patients
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