Glenda Hoffecker, Karl Keat, Lakeisha Mulugeta-Gordon, Marjorie Risman, Shefali S Verma, Mary Deagostino-Kelly, Sony Tuteja
{"title":"Estimated clinical utility of multi-gene pharmacogenetic testing in a retrospective cohort of gynecology patients.","authors":"Glenda Hoffecker, Karl Keat, Lakeisha Mulugeta-Gordon, Marjorie Risman, Shefali S Verma, Mary Deagostino-Kelly, Sony Tuteja","doi":"10.1080/14622416.2024.2428585","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to estimate the clinical utility of performing multi-gene pharmacogenetic testing on patients undergoing gynecologic surgery/procedure by evaluating the prescribing rate of Clinical Pharmacogenetics Implementation Consortium (CPIC) level A medications and frequency of drug-gene interactions (DGIs).</p><p><strong>Methods: </strong>The electronic health record was queried for 76 current procedural terminology codes to identify gynecologic surgeries/procedures that occurred between 1 January 2015 to 31 December 2020 in patients with at least one of 152 international classification of disease codes. Prescription data for CPIC level A medications was extracted. Those enrolled in the Penn Medicine Biobank were assessed for DGIs.</p><p><strong>Results: </strong>The cohort consisted of 7798 female patients and 682 were in the biobank. Up to 6 years following their surgery or procedure, 80% were ordered ≥1 CPIC level A medication. Over half (54%) of these medications were ordered within 3 days after their surgery or procedure. The most common CPIC level A medications ordered were ibuprofen (57%) and ondansetron (42%). Overall, 7% of the cohort had ≥1 known or predicted DGI with medications they were prescribed.</p><p><strong>Conclusion: </strong>Multi-gene pharmacogenetic testing may be beneficial to gynecologic surgery/procedure patients by assisting clinicians with prescribing postoperative analgesics and future medications.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-8"},"PeriodicalIF":1.9000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacogenomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14622416.2024.2428585","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study aimed to estimate the clinical utility of performing multi-gene pharmacogenetic testing on patients undergoing gynecologic surgery/procedure by evaluating the prescribing rate of Clinical Pharmacogenetics Implementation Consortium (CPIC) level A medications and frequency of drug-gene interactions (DGIs).
Methods: The electronic health record was queried for 76 current procedural terminology codes to identify gynecologic surgeries/procedures that occurred between 1 January 2015 to 31 December 2020 in patients with at least one of 152 international classification of disease codes. Prescription data for CPIC level A medications was extracted. Those enrolled in the Penn Medicine Biobank were assessed for DGIs.
Results: The cohort consisted of 7798 female patients and 682 were in the biobank. Up to 6 years following their surgery or procedure, 80% were ordered ≥1 CPIC level A medication. Over half (54%) of these medications were ordered within 3 days after their surgery or procedure. The most common CPIC level A medications ordered were ibuprofen (57%) and ondansetron (42%). Overall, 7% of the cohort had ≥1 known or predicted DGI with medications they were prescribed.
Conclusion: Multi-gene pharmacogenetic testing may be beneficial to gynecologic surgery/procedure patients by assisting clinicians with prescribing postoperative analgesics and future medications.
期刊介绍：
Pharmacogenomics (ISSN 1462-2416) is a peer-reviewed journal presenting reviews and reports by the researchers and decision-makers closely involved in this rapidly developing area. Key objectives are to provide the community with an essential resource for keeping abreast of the latest developments in all areas of this exciting field.
Pharmacogenomics is the leading source of commentary and analysis, bringing you the highest quality expert analyses from corporate and academic opinion leaders in the field.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
