首页> 外文期刊>Indian Journal of Critical Care Medicine >Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio as Markers for Predicting the Severity in COVID-19 Patients: A Prospective Observational Study
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Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio as Markers for Predicting the Severity in COVID-19 Patients: A Prospective Observational Study

机译:中性粒细胞到淋巴细胞比和血小板到淋巴细胞比例作为预测Covid-19患者的严重程度的标志物:一个潜在观察性研究

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Background: Coronavirus disease-2019 (COVID-19) pandemic has shown unpredictable course in individual patients. Few patients develop severe disease with progression after admission to a healthcare facility. Multiple parameters have been investigated to identify a marker to predict disease progression. Neutrophil-to-lymphocyte ratio (NLR) or platelet-to-lymphocyte (PLR) ratio has shown some promise. The current investigation explores the role of NLR and PLR to predict the disease progression. Materials and methods: After obtaining ethics committee approval, 608 patients were screened for inclusion in the prospective observational study, and 201 patients were included in the final analysis. The NLR and PLR were derived from routinely obtained complete blood count analysis. The patients were followed to determine the development of severity of the disease during the course. The NLR and PLR were analyzed in both univariate and multivariable models to assess the association and prediction. Results: In nonsevere (NS) group, the mean age of patients was 50.9 ± 16.3 years, and 66 (61.2%) were male, while in severe group (S), the mean age of patients was 53.7 ± 16.4 years, and 65 (69.89%) were male. NLR at day 1 and day 3 was significantly lower in survivors as compared to nonsurvivors, while the relation of PLR in both the groups was not statistically significant. The NLR is better in predicting the severity of disease as well as mortality than PLR.
机译:背景:冠状病毒病 - 2019年(Covid-19)大流行在个体患者中表现出不可预测的课程。少数患者在入院后发育严重的疾病,进入医疗保健设施。已经研究了多个参数以鉴定标记以预测疾病进展。中性粒细胞到淋巴细胞比(NLR)或血小板到淋巴细胞(PLR)的比率显示出一些承诺。目前的调查探讨了NLR和PLR预测疾病进展的作用。材料和方法:获得伦理委员会批准后,筛选608名患者纳入前瞻性观察研究,并将201例患者纳入最终分析。 NLR和PLR源自常规获得的完全血统分析。遵循患者在课程中确定疾病严重程度的发展。在单变量和多变量的模型中分析了NLR和PLR以评估关联和预测。结果:在非威尔(NS)组中,患者的平均年龄为50.9±16.3岁,66(61.2%)是男性,而在严重组中,患者的平均年龄为53.7±16.4岁,65岁(69.89%)是男性。与非尿道相比,第1天和第3天的NLR在幸存者中显着降低,而PLR在两组中的关系均无统计学意义。 NLR更好地预测疾病的严重程度以及比PLR的严重程度。

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