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Prognosis of COVID-19: Red Cell Distribution Width, Platelet Distribution Width, and C-Reactive Protein

机译:Covid-19的预后:红细胞分布宽度,血小板分布宽度和C反应蛋白

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Introduction Cytokine storm is central in the pathobiology of Coronavirus disease 2019 (COVID-19). The pro-inflammatory state and hypoxia disrupt erythropoiesis leading to alterations in red cell distribution width (RDW) and hematocrit. Platelet production increases alongside its destruction, inviting newly formed immature platelets into the circulation. Thus, the platelet distribution width (PDW) and mean platelet volume (MPV) are also affected. The study's objective is to analyze these indices and C-reactive protein (CRP) to elucidate prognostic insights in COVID-19 patients at the time of admission. Methodology This study was a retrospective cross-sectional study conducted at Chigateri General Hospital, attached to JJM Medical College, Davangere, over two months, July and August of 2020. Patients falling under categories B and C according to the interim guidelines issued by the Ministry of Health and Family Welfare, Government of India were enrolled in this study. Patients requiring mechanical ventilation and those with a prior diagnosis of malignancy were excepted from the study. Results The study population comprised a total of hundred patients. Seventy-five patients survived the disease and were discharged; twenty-five patients succumbed to the viral illness. The mean age of survivors (43.0 /- 13.6 years) was significantly lesser than that of non-survivors (59.1 /- 11.5 years) (p 0.001). RDW was significantly different among?survivors (p=0.002); PDW and CRP were lower among?the deceased (p=0.05 and p=0.10, respectively). Cut off values for RDW as 15%, CRP as 67 mg/l, and PDW as 17% were significantly associated with mortality. Hematocrit and MPV were not significantly associated with mortality. RDW has a sensitivity of 92% and a negative predictive value of 95% in predicting mortality. Discussion RDW showed a significant association with increased mortality.?Impaired cell-mediated immunity at the onset of infection is responsible for rapid progression to moderate or even severe COVID disease. Since the investigations in our study were ordered at the time of admission, it may lead us to believe that higher RDW is associated with a better patient outcome. Lower C-reactive protein levels are associated with higher mortality. CRP is a non-specific marker for inflammation. Raised CRP is customarily an indicator of acute inflammation. Notwithstanding, the raised CRP may be an indicator of baseline immune response in early COVID infection. High PDW shows a significant association with increased mortality. The pathobiology of change in platelet indices in COVID-19 patients is presumably multifactorial: infection of the bone marrow; autoimmune platelet destruction; platelet sequestration. Conclusion Red cell distribution width, platelet distribution width, and C-reactive protein are useful early predictive markers of mortality in COVID-19. Although serial investigations would provide a better picture, these indices at admission can gauge the clinical outcome early in the disease. As there is still a lot to be understood about the natural history of COVID-19, our study aims to propose relatively inexpensive indices of mortality that can aid efficient management.
机译:引言细胞因子风暴是2019年冠状病毒疾病病理学病变的中枢(Covid-19)。促炎症状态和缺氧破坏红细胞发育性,导致红细胞分布宽度(RDW)和血细胞比容的改变。血小板生产随着其破坏而增加,邀请新形成的未成材血小板进入循环。因此,血小板分布宽度(PDW)和平均血小板体积(MPV)也受到影响。该研究的目的是分析这些索引和C反应蛋白(CRP),以在入院时阐明Covid-19患者的预后见解。该研究本研究是在赤道综合医院进行的回顾性横断面研究,该研究在赤霞纪,Davangere,7月,7月和8月在2020年,依据该部颁发的临时指南下降而落下的患者卫生和家庭福利,印度政府注册了这项研究。研究中需要机械通气的患者和患有死亡恶性肿瘤的患者。结果研究人口总共包括一百名患者。七十五名患者幸存下来,被排出;二十五名患者屈服于病毒疾病。幸存者的平均年龄(43.0 / - 13.6岁)明显小于非幸存者(59.1 / - 11.5岁)(P <0.001)。 RDW在幸存者中有显着差异(p = 0.002); PDW和CRP中间较低?死者(P = 0.05和P = 0.10)。将RDW的值切断为15%,CRP为67 mg / L,PDW为17%与死亡率显着相关。血细胞比容和MPV与死亡率没有显着相关。 RDW的敏感性为92%,预测死亡率的负面预测值为95%。讨论RDW表现出与增加的死亡率增加的关系.?Impaired细胞介导的感染发作时的免疫力负责快速进展到中度或甚至严重的Covid疾病。由于我们研究的调查在入学时订购,因此可能导致我们相信更高的RDW与更好的患者结果相关。降低C反应蛋白水平与较高的死亡率有关。 CRP是炎症的非特异性标记。升高的CRP通常是急性炎症的指标。尽管如此,凸起的CRP可能是早期Covid感染中基线免疫应答的指标。高PDW显示出与增加的死亡率增加的关系。 Covid-19患者血小板指数的变化病病病变学是多因素:骨髓感染;自身免疫血小板破坏;血小板封存。结论红细胞分布宽度,血小板分布宽度和C反应蛋白是Covid-19中死亡率的有用早期预测标记。虽然串行调查将提供更好的画面,但入院的这些指数可以衡量疾病早期的临床结果。由于关于Covid-19的自然历史仍有很多值得理解的是,我们的研究旨在提出相对廉价的死亡指标,可以帮助有效的管理。

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