COVID-19 患者的用药模式:回顾性调查 2021-2022

Q3 Multidisciplinary
Phaksachiphon Khanthong, Vadhana Jayathavaj, Sarinrat Jitjum
{"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":null,"pages":null},"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\":null,\"pages\":null},\"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。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Science, Engineering and Health Studies
Science, Engineering and Health Studies Multidisciplinary-Multidisciplinary
CiteScore
1.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信