COVID-19 患者的用药模式:回顾性调查 2021-2022

Q3 Multidisciplinary
Phaksachiphon Khanthong, Vadhana Jayathavaj, Sarinrat Jitjum
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引用次数: 0

摘要

这项回顾性调查研究了2021年至2022年期间COVID-19患者的药物使用模式,共有81名参与者在2023年3月至5月期间报告了13种症状。应用 k-means 聚类方法确定了三种不同的症状严重程度,即重度(群组 I)、中度(群组 II)和轻度(群组 III),其平均得分分别为 3.67±0.87、3.20±0.98 和 1.87±0.81。在群组 I 和 II 中,肌痛是最显著的症状,而在群组 III 中,喉咙痛是主要症状。组群 I 至组群 III 的患者平均使用 2.00-2.34 种药物,其中使用单一药物的频率最高。值得注意的是,穿心莲胶囊在所有群组中的使用率都很高(51.85%),而法非拉韦的使用率较低。此外,在群组 I 和群组 II 中,每五名参与者中就有一人使用大量药物干预来治疗 COVID-19,而在群组 III 中,这一比例仍低于 10%。这项研究为我们了解治疗 COVID-19 的药物使用模式提供了宝贵的信息。研究结果提供了有关每个群组症状的重要信息,可针对特定症状严重程度群组以及重叠药物定制治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drug use patterns in COVID-19 patients: A retrospective survey 2021–2022
This retrospective survey examines drug use patterns in COVID-19 patients from 2021 to 2022 with 81 participants, who reported 13 symptoms between March and May 2023. Application of the k-means clustering method led to identification of three distinct symptom severities, severe (Cluster I), moderate (Cluster II), and mild (Cluster III), with respective average scores of 3.67±0.87, 3.20±0.98, and 1.87±0.81. In Clusters I and II, myalgia was the most notable symptom, while in Cluster III, sore throat was predominant. On average, individuals in Clusters I–III used 2.00–2.34 types of drugs, with use of a single drug having the highest frequency. Notably, Andrographis paniculata capsules were highly utilized across all clusters (51.85%), while favipiravir was less often used. Furthermore, one in five participants in the combined Clusters I and II employed substantial pharmaceutical interventions for COVID-19 treatment, whereas in Cluster III, this use remained below 10%. This research provides valuable insights into drug use patterns for managing COVID-19. The findings offer crucial information about symptoms from each cluster, tailoring treatment approaches to specific symptom severity clusters as well as overlapping medications.
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来源期刊
Science, Engineering and Health Studies
Science, Engineering and Health Studies Multidisciplinary-Multidisciplinary
CiteScore
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