{"title":"将药剂师的知识纳入替考拉宁剂量规划预测模型","authors":"Tetsuo Matsuzaki, Tsuyoshi Nakai, Yoshiaki Kato, Kiyofumi Yamada, Tetsuya Yagi","doi":"10.1101/2023.12.14.23299934","DOIUrl":null,"url":null,"abstract":"Teicoplanin is an important antimicrobial agent for methicillin-resistant <em>Staphylococcus aureus</em> infections. To enhance its clinical effectiveness while preventing adverse effects, therapeutic drug monitoring (TDM) of teicoplanin trough concentration is recommended. Given the importance of the early achievement of therapeutic concentrations for treatment success, initial dosing regimens are deliberately designed based on patient information.","PeriodicalId":501447,"journal":{"name":"medRxiv - Pharmacology and Therapeutics","volume":"79 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integration of pharmacists’ knowledge into a predictive model for teicoplanin dose planning\",\"authors\":\"Tetsuo Matsuzaki, Tsuyoshi Nakai, Yoshiaki Kato, Kiyofumi Yamada, Tetsuya Yagi\",\"doi\":\"10.1101/2023.12.14.23299934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Teicoplanin is an important antimicrobial agent for methicillin-resistant <em>Staphylococcus aureus</em> infections. To enhance its clinical effectiveness while preventing adverse effects, therapeutic drug monitoring (TDM) of teicoplanin trough concentration is recommended. Given the importance of the early achievement of therapeutic concentrations for treatment success, initial dosing regimens are deliberately designed based on patient information.\",\"PeriodicalId\":501447,\"journal\":{\"name\":\"medRxiv - Pharmacology and Therapeutics\",\"volume\":\"79 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Pharmacology and Therapeutics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2023.12.14.23299934\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Pharmacology and Therapeutics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2023.12.14.23299934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integration of pharmacists’ knowledge into a predictive model for teicoplanin dose planning
Teicoplanin is an important antimicrobial agent for methicillin-resistant Staphylococcus aureus infections. To enhance its clinical effectiveness while preventing adverse effects, therapeutic drug monitoring (TDM) of teicoplanin trough concentration is recommended. Given the importance of the early achievement of therapeutic concentrations for treatment success, initial dosing regimens are deliberately designed based on patient information.
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