COMPARATIVE ANALYSIS OF DRUG EFFICACY IN THE TREATMENT FOR COVID-19 SEVERE FORMS, BASED ON ATTRIBUTE-BASED STATISTIC METHODS AND ANALYSIS OF DRUG INTERACTIONS

O. Zhukova, I. Kagramanyan, A. Khokhlov
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Abstract

Severe and critical forms of COVID-19 are beset by the development of “a cytokine storm”, which is characterized by an increased secretion of proinflammatory cytokines. Therefore, one of the leading strategies for treating patients with severe forms of COVID-19 is the reduction of concentration of proinflammatory cytokines and leveling out their effect on the patient. Among the drugs aimed at reducing the concentration of proinflammatory cytokines, IL-6 inhibitors, IL-1 inhibitors, JAK inhibitors and systemic glucocorticosteroids have been found useful in COVID-19. All of these drugs are currently prescribed off-label.The aim of the work is a comparative analysis of the data from the literature sources in the PubMed system, devoted to the clinical efficacy and safety of IL-6, IL-1, JAK inhibitors and systemic glucocorticosteroids in the treatment for severe forms of COVID-19.Materials and methods. In the treatment for severe forms of COVID-19, materials for the comparative analysis were the data from the literature sources in the PubMed system, on the studies devoted to the use of the systemic glucocorticosteroid dexamethasone, IL-6 inhibitor tocilizumab, IL-1 inhibitor anakinra, and JAK inhibitor ruxolitinib. The analysis was performed by statistical evaluation of the drugs effect within the 28-day survival rate among the patients with severe COVID-19. Attributive statistics was used as a statistical tool. The safety of the drug use was assessed by analyzing potential drug interactions. The information about potential drug interactions, was obtained from a specialized website – Drugs.com. Knowmore. Besure (https://www.drugs.com/interaction/list/).Results. As a result of the analysis, it has been established that tocilizumab has the highest efficacy rates. In this respect, it is followed by dexamethasone. The attributive efficacy rates and 95% confidence interval values for the both drugs were statistically significant. The indices of relative and population attributive kinds of efficacy, were also higher for tocilizumab, but a 95% confidence interval of these indices, get into the range of statistically insignificant values, requiring additional evidence of their efficacy. According to the data obtained, tocilizumab efficacy is higher than that of the other drugs compared: NNT (dexamethasone) – 32; NNT (tocilizumab) – 4, NNT (ruxolitinib) – 7; NNT (anakinra) – 35.Conclusion. The choice of a drug should be based on the patient’s condition, comorbidities, and medications used in therapy to minimize the risk of undesirable drug interactions. Against the background of the lowest efficacy among the compared drugs, a high efficacy for the patients with concomitant hepatobiliary disorders and DIC syndrome, has been established for the inhibitor IL-1 anakinra, which makes it the drug of choice among the patients with these diseases and under these conditions in the development of “a cytokine storm”.
基于属性统计方法和药物相互作用分析的重症COVID-19药物疗效对比分析
严重和危重型COVID-19受到“细胞因子风暴”发展的困扰,其特征是促炎细胞因子的分泌增加。因此,治疗重症COVID-19患者的主要策略之一是降低促炎细胞因子的浓度并平衡其对患者的影响。在旨在降低促炎细胞因子浓度的药物中,IL-6抑制剂、IL-1抑制剂、JAK抑制剂和全身糖皮质激素已被发现对COVID-19有用。所有这些药物目前都是标签外处方。本研究的目的是对PubMed系统中文献来源的数据进行比较分析,致力于研究IL-6、IL-1、JAK抑制剂和全身糖皮质激素治疗重症COVID-19的临床疗效和安全性。材料和方法。在重症COVID-19的治疗中,比较分析的材料是PubMed系统中文献来源的数据,关于使用全体性糖皮质激素地塞米松、IL-6抑制剂tocilizumab、IL-1抑制剂anakinra和JAK抑制剂ruxolitinib的研究。对重症COVID-19患者28天生存率内的药物疗效进行统计评价分析。使用属性统计作为统计工具。通过分析潜在的药物相互作用来评估用药的安全性。有关潜在药物相互作用的信息是从一个专门的网站Drugs.com获得的。研究。确定.Results (https://www.drugs.com/interaction/list/)。作为分析的结果,已经确定tocilizumab具有最高的有效率。在这方面,其次是地塞米松。两种药物的归因有效率和95%置信区间值均有统计学意义。tocilizumab的相对和群体属性类疗效指标也较高,但这些指标的95%置信区间进入了统计上不显著的范围,需要额外的疗效证据。根据获得的数据,托珠单抗的疗效高于其他药物:NNT(地塞米松)- 32;NNT (tocilizumab) - 4, NNT (ruxolitinib) - 7;NNT (anakinra) - 35。药物的选择应基于患者的病情、合并症和治疗中使用的药物,以尽量减少不良药物相互作用的风险。在比较药物中疗效最低的背景下,抑制剂IL-1阿那白拉在合并肝胆疾病和DIC综合征患者中具有较高的疗效,使其成为“细胞因子风暴”发展中这些疾病患者的首选药物。
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