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新冠治疗中抗菌和抗病毒药物有效性评估:一种数据驱动的回顾性方法

Evaluation of Antibacterial and Antiviral Drug Effectiveness in COVID-19 Therapy: A Data-Driven Retrospective Approach.

作者信息

Yulia Rika, Ikasanti Putri Ayu Irma, Herawati Fauna, Hartono Ruddy, Hanum Puri Safitri, Ramdani Dewi, Jaelani Abdul Kadir, Kantono Kevin, Wijono Heru

机构信息

Department of Clinical and Community Pharmacy, Faculty of Pharmacy, Universitas Surabaya, Surabaya 60293, Indonesia.

Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Indonesia, Depok 16424, Indonesia.

出版信息

Pathophysiology. 2022 Mar 7;29(1):92-105. doi: 10.3390/pathophysiology29010009.

Abstract

The clinical manifestations associated with COVID-19 disease is mainly due to a dysregulated host response related to the overexpression of inflammatory markers. Until recently, only remdesivir had gained FDA approval for COVID-19 hospitalized patients and there are currently no evidence-based therapeutic options or options for prevention of complications that have been established. Some medical treatments such as antivirals, antibacterials, antithrombotics, antipyretics, corticosteroids, interleukin inhibitors, monoclonal antibodies, convalescent plasma, immunostimulants, and vitamin supplements have been utilized. However, there are limited data to support their effectiveness. Hence, this study was attempted to identify and evaluate the effectiveness of antibacterials and antivirals used for COVID-19 using a retrospective cross-sectional approach based on the medical records of adult patients in four hospitals. The number of antibacterials was calculated in defined daily dose (DDD) per 100 bed-days unit. Both mixed-logit regression and analysis of covariance were used to determine the effectiveness of the aforementioned agents in relation to COVID-19 outcome and patients' length of stay. The model was weighed accordingly and covariates (e.g., age) were considered in the model. Heart disease was found to be the most common pre-existing condition of COVID-19 hospitalized patients in this study. Azithromycin, an antibacterial in the Watch category list, was used extensively (33-65 DDD per 100 bed-days). Oseltamivir, an antiviral approved by the FDA for influenza was the most prescribed antiviral. In addition, favipiravir was found to be a significant factor in improving patients' COVID-19 outcomes and decreasing their length of stay. This study strongly suggests that COVID-19 patients' received polypharmacy for their treatment. However, most of the drugs used did not reach statistical significance in improving the patients' condition or decreasing the length of stay. Further studies to support drug use are needed.

摘要

与新冠肺炎相关的临床表现主要是由于与炎症标志物过度表达相关的宿主反应失调。直到最近,只有瑞德西韦获得了美国食品药品监督管理局(FDA)对新冠肺炎住院患者的批准,目前还没有基于证据的治疗选择或预防并发症的方法。一些医学治疗方法,如抗病毒药物、抗菌药物、抗血栓药物、退烧药、皮质类固醇、白细胞介素抑制剂、单克隆抗体、康复期血浆、免疫刺激剂和维生素补充剂已被使用。然而,支持其有效性的数据有限。因此,本研究试图采用回顾性横断面方法,基于四家医院成年患者的病历,识别和评估用于新冠肺炎的抗菌药物和抗病毒药物的有效性。抗菌药物的使用量按每100床日定义日剂量(DDD)计算。混合逻辑回归和协方差分析均用于确定上述药物对新冠肺炎治疗结果和患者住院时间的有效性。对模型进行了相应加权,并在模型中考虑了协变量(如年龄)。在本研究中,心脏病被发现是新冠肺炎住院患者最常见的基础疾病。阿奇霉素,一种列入观察类清单的抗菌药物,被广泛使用(每100床日33 - 65 DDD)。磷酸奥司他韦,一种经FDA批准用于流感的抗病毒药物,是处方最多的抗病毒药物。此外,发现法匹拉韦是改善患者新冠肺炎治疗结果和缩短住院时间的一个重要因素。本研究强烈表明,新冠肺炎患者接受了多种药物联合治疗。然而,大多数使用的药物在改善患者病情或缩短住院时间方面未达到统计学显著性。需要进一步的研究来支持药物的使用。

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