COVID-19 Seyrinde NLR, LMR, PLR, d-NLR, LeCR, LCR, NMR Biyoparametrelerinin Etkinliğinin Değerlendirilmesi

Didem Celik, Özge İnceer
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Abstract

Background/Objective: Severe inflammatory response of the immune system has a serious role in the progression of Coronavirus disease 2019 (COVID-19). The clinical benefits of early diagnosis of immune activation of COVID-19 have been emphasized repeatedly in the trials to this date. In this study, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), derived neutrophil-to-lymphocyte ratio (d-NLR), lymphocyte-to-C reactive protein ratio (LCR), leukocyte-to-C reactive protein ratio (LeCR), neutrophil-to-monocyte ratio (NMR) biomarkers were evaluated for predicting clinical course of COVID-19. Methods: In this retrospective cohort study, 383 laboratory-confirmed COVID-19 cases, who had been hospitalized in a tertiary care hospital between April and November 2020, were included. Patients, including 279 mild and 104 severe cases, were sequentially selected. Blood tests, conducted at the time of admission, were examined. Data was analyzed and ROC analysis was performed by using SPSS 22.0 program. Results: 44.3% of the patients included in the study were female, 99.2% of the patients had viral pneumonia, 27.2% met clinical criteria for severe disease and median age was 58 years. Age, duration of hospitalization, white blood cell count, neutrophil count, ferritin, CRP, procalcitonin, D-dimer, troponin levels were higher and lymphocyte, monocyte counts were lower in the group with clinically severe disease. The diagnostic sensitivities of LCR, CRP, d-NLR, NLR, LeCR were found to be high (AUC> 0.8) for the prediction of clinical severity with cut-off values of 15, 74.65, 2.55, 4, 133 respectively. Conclusion: High CRP, d-NLR, NLR and low LCR, LeCR are early predictors of the clinical severity, these patients should be under hospital follow-up for close monitoring and early intervention.
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评估 COVID-19 过程中 NLR、LMR、PLR、d-NLR、LeCR、LCR、NMR 生物参数的有效性
背景/目的:免疫系统的严重炎症反应在冠状病毒病 2019(COVID-19)的进展过程中起着严重作用。在迄今为止的试验中,COVID-19 免疫激活的早期诊断所带来的临床益处已被反复强调。本研究评估了中性粒细胞与淋巴细胞比值(NLR)、淋巴细胞与单核细胞比值(LMR)、血小板与淋巴细胞比值(PLR)、衍生中性粒细胞与淋巴细胞比值(d-NLR)、淋巴细胞与C反应蛋白比值(LCR)、白细胞与C反应蛋白比值(LeCR)、中性粒细胞与单核细胞比值(NMR)等生物标志物预测COVID-19临床病程的能力。 方法在这项回顾性队列研究中,纳入了 383 例经实验室确诊的 COVID-19 病例,这些患者于 2020 年 4 月至 11 月期间在一家三级医院住院治疗。研究人员按顺序选取了279例轻度病例和104例重度病例。对入院时进行的血液化验进行了检查。使用 SPSS 22.0 程序分析数据并进行 ROC 分析。 结果44.3%的患者为女性,99.2%的患者患有病毒性肺炎,27.2%的患者符合重症临床标准,年龄中位数为 58 岁。临床重症组患者的年龄、住院时间、白细胞计数、中性粒细胞计数、铁蛋白、CRP、降钙素原、D-二聚体、肌钙蛋白水平较高,而淋巴细胞、单核细胞计数较低。发现 LCR、CRP、d-NLR、NLR、LeCR 预测临床严重程度的诊断灵敏度较高(AUC>0.8),其临界值分别为 15、74.65、2.55、4、133。 结论高 CRP、d-NLR、NLR 和低 LCR、LeCR 是临床严重程度的早期预测指标,这些患者应接受医院随访,以进行密切监测和早期干预。
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