肾移植受者药物相关问题预测模型的建立

K. Covert, C. Mardis, J. Fleming, N. Pilch, H. Meadows, B. A. Mardis, Prince Mohan, M. Posadas-Salas, T. Srinivas, D. Taber
{"title":"肾移植受者药物相关问题预测模型的建立","authors":"K. Covert, C. Mardis, J. Fleming, N. Pilch, H. Meadows, B. A. Mardis, Prince Mohan, M. Posadas-Salas, T. Srinivas, D. Taber","doi":"10.1002/phar.1886","DOIUrl":null,"url":null,"abstract":"Drug‐related problems (DRPs) are associated with increased rates of infection, rejection, and graft loss in kidney transplant recipients. This study aimed to develop a model to predict which patients are at highest risk of DRPs to streamline pharmacists’ workflow in a chronic kidney transplant clinic.","PeriodicalId":19812,"journal":{"name":"Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy","volume":"33 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Development of a Predictive Model for Drug‐Related Problems in Kidney Transplant Recipients\",\"authors\":\"K. Covert, C. Mardis, J. Fleming, N. Pilch, H. Meadows, B. A. Mardis, Prince Mohan, M. Posadas-Salas, T. Srinivas, D. Taber\",\"doi\":\"10.1002/phar.1886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Drug‐related problems (DRPs) are associated with increased rates of infection, rejection, and graft loss in kidney transplant recipients. This study aimed to develop a model to predict which patients are at highest risk of DRPs to streamline pharmacists’ workflow in a chronic kidney transplant clinic.\",\"PeriodicalId\":19812,\"journal\":{\"name\":\"Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy\",\"volume\":\"33 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/phar.1886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/phar.1886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

药物相关问题(DRPs)与肾移植受者感染、排斥和移植物丢失的发生率增加有关。本研究旨在建立一个模型来预测哪些患者的drp风险最高,以简化慢性肾移植诊所药剂师的工作流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Predictive Model for Drug‐Related Problems in Kidney Transplant Recipients
Drug‐related problems (DRPs) are associated with increased rates of infection, rejection, and graft loss in kidney transplant recipients. This study aimed to develop a model to predict which patients are at highest risk of DRPs to streamline pharmacists’ workflow in a chronic kidney transplant clinic.
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
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