{"title":"COVID-19 患者的用药模式:回顾性调查 2021-2022","authors":"Phaksachiphon Khanthong, Vadhana Jayathavaj, Sarinrat Jitjum","doi":"10.69598/sehs.18.24050001","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":36726,"journal":{"name":"Science, Engineering and Health Studies","volume":" 67","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Drug use patterns in COVID-19 patients: A retrospective survey 2021–2022\",\"authors\":\"Phaksachiphon Khanthong, Vadhana Jayathavaj, Sarinrat Jitjum\",\"doi\":\"10.69598/sehs.18.24050001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":36726,\"journal\":{\"name\":\"Science, Engineering and Health Studies\",\"volume\":\" 67\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science, Engineering and Health Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.69598/sehs.18.24050001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Multidisciplinary\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science, Engineering and Health Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.69598/sehs.18.24050001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Multidisciplinary","Score":null,"Total":0}
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。
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.