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初始血液学指标能否预测 COVID-19 患者的严重程度?

Do initial hematologic indices predict the severity of COVID-19 patients?

机构信息

Department of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey

Department of Clinical Biochemistry, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, Turkey

出版信息

Turk J Med Sci. 2021 Feb 26;51(1):39-44. doi: 10.3906/sag-2007-97.

DOI:10.3906/sag-2007-97
PMID:33003692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7991886/
Abstract

BACKGROUND/AIM: In this study, we aimed to evaluate the initial hematological findings analyzed on admission in confirmed COVID-19 patients who were transferred to the intensive care unit (ICU), to predict possible hematological indices.

MATERIALS AND METHODS

Initial neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), red cell distribution width to platelet ratio (RPR), mean platelet volume to platelet ratio, and lymphocyte multiplied by platelet count (LYM × PLT), of 695 patients with laboratory-confirmed COVID-19 were investigated and comparisons were made between the mild/moderate and severe groups.

RESULTS

The proportion of COVID-19 cases admitted to the ICU was 3.9%. The median age of patients admitted to the ICU was significantly higher than those who were not; [68.5 (interquartile range (IQR); 21.5] years vs. 41.0 (IQR; 15.7) years; P < 0.001. Severe cases had higher NLR (6.6 vs. 2.4; P < 0.001), and MLR (0.40 vs. 0.28; P = 0.004) and lower PLR (180.0 vs. 129.0; P < 0.001) compared to that of mild or moderate patients. Among all of the parameters, the ROC curve of NLR gave us the best ability to distinguish serious patients at an early stage (AUC = 0. 819, 95% confidence interval 0.729–0.910; P < 0.001).

CONCLUSION

These data showed that age, initial NLR, PLR, and LYM × PLT were associated with the severity of COVID-19 disease and patients’ need for the ICU. Therefore, initial hemogram parameters may be essential to predict the prognosis of COVID-19 patients.

摘要

背景/目的:本研究旨在评估转入重症监护病房(ICU)的确诊 COVID-19 患者入院时的初始血液学检查结果,以预测可能的血液学指标。

材料和方法

研究人员调查了 695 例实验室确诊 COVID-19 患者的初始中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、单核细胞与淋巴细胞比值(MLR)、红细胞分布宽度与血小板比值(RPR)、平均血小板体积与血小板比值以及淋巴细胞乘以血小板计数(LYM×PLT),并比较了轻症/中度和重症组之间的差异。

结果

入住 ICU 的 COVID-19 病例比例为 3.9%。入住 ICU 的患者中位年龄明显高于未入住 ICU 的患者;[68.5(四分位距(IQR);21.5]岁vs. 41.0(IQR;15.7)岁;P<0.001。重症组的 NLR(6.6 比 2.4;P<0.001)和 MLR(0.40 比 0.28;P=0.004)更高,PLR(180.0 比 129.0;P<0.001)更低,与轻症或中度患者相比。在所有参数中,NLR 的 ROC 曲线能够早期最佳地区分严重患者(AUC=0.819,95%置信区间 0.729-0.910;P<0.001)。

结论

这些数据表明,年龄、初始 NLR、PLR 和 LYM×PLT 与 COVID-19 疾病的严重程度和患者对 ICU 的需求相关。因此,初始血液参数可能是预测 COVID-19 患者预后的关键因素。

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