将血小板指数作为 COVID-19 预后标志物的研究

Nayana L, Rajesh H Chandan, P. Kalagi, N. S. Kamkeri, Purushotham Reddy
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引用次数: 0

摘要

背景:血小板分布宽度和平均血小板体积是血小板活化的标志:血小板分布宽度和平均血小板体积是血小板活化的标志。血小板不仅参与止血和凝血,还在先天性免疫和ammatory 反应中发挥重要作用。细胞因子和急性期反应物的过量产生会影响巨核细胞生成,导致未成熟血小板从骨髓中释放出来,从而改变血小板指数。本研究旨在探讨经 RTPCR 证实的 COVID-19 患者和非 COVID 患者的血小板指数之间的关系。研究方法对 200 名 COVID-19 患者和 100 名正常人进行了两组队列临床观察比较研究。比较两组患者的血小板指数,如血小板计数、平均血小板体积(MPV)、血小板分布宽度(PDW)、血小板大细胞比率(P-LCR)和血小板比容(PCT)。结果与对照组相比,COVID-19 患者的血小板计数偏低(P<0.001)。与非COVID患者相比,COVID-19患者的P-LCR也明显降低。与对照组相比,COVID-19 患者的 MPV、PDW 和 PCT 偏高,但在大量病例中并没有显著。结论血小板指数,如血小板计数、MPV、PDW、PLCR 和 PCT,都是简单、经济、易得的实验室参数,可从常规使用的自动血液分析仪中获得,在 COVID-19 感染中会发生显著c 改变,因此可用作 COVID-19 的生物标志物。
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STUDY OF PLATELET INDICES AS PROGNOSTIC MARKERS IN COVID-19
Background: Platelet distribution width and mean platelet volume are markers of platelet activation. Platelets are not only involved in hemostasis and coagulation, but play a signicant role in innate immunity and inammatory response. Excess production of cytokines and acute phase reactants affect megakaryopoiesis resulting in the release of immature platelets from the bone marrow altering platelet indices. In this study we aimed to investigate the relationship of platelet indices in RTPCR proven COVID-19 patients and non COVID patients. Methods: An observational comparative two group cohort clinical study was conducted on 200 COVID-19 patients and 100 normal individuals. The platelet indices like Platelet count, Mean platelet volume (MPV), Platelet distribution width (PDW), Platelet large cell ratio (P-LCR) and Plateletcrit (PCT) were compared among two groups. Results: Platelet count in COVID-19 patients were low (p<0.001) compared to controls. P-LCR was also signicantly decreased in COVID-19 patients in comparison to non-COVID individuals. MPV, PDW and PCT were high in COVID 19 patients in comparison to controls, but was not signicantly raised in a large number of cases. Conclusion: Platelet indices like platelet count, MPV, PDW, PLCR and PCTare simple, cost effective and easily available laboratory parameters from routinely used automated hematology analyzers which are signicantly altered in COVID-19 infection and thereby can be used as biomarkers in COVID-19.
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