scholarly journals Effects of pharmacogenomic (PGx) testing on clinical pain management prescriptions, a retrospective study.

Author(s):  
Christian Tagwerker ◽  
Mary Jane Carias-Marines ◽  
David J. Smith

Current deficits in effectively utilizing PGx testing in clinical practice include limited awareness and training of healthcare professionals, routine ordering of assays investigating up to 5 genes and lack of concise reporting of dosing guidelines and drug-drug-interactions. A novel deep sequencing (>1000X) PGx panel is described encompassing 23 genes and 141 SNPs or indels combined with PGx dosing guidance, drug-gene-interaction (DGI) and drug-drug-interaction (DDI) reporting to prevent adverse drug reaction events. During a 2-year period, patients (n = 171) were monitored in a pain management clinic. Urine toxicology, PGx reports, and progress notes were studied retrospectively for changes in prescription regimens before and after the PGx report was made available to the provider. Among patient PGx reports with medication lists provided (n = 146) 57.5% showed one or more moderate and 5.5% at least one serious pharmacogenetic interaction. 66% of patients showed at least one moderate and 15% one or more serious drug-gene or drug-drug-interaction. A significant number of active changes in prescriptions based on the PGx reports provided was observed for 85 patients (83%) for which a specific drug was either discontinued, switched within the defined drug classes of the report or a new drug added. Preventative action was observed for all serious interactions and only moderate interactions were tolerated for lack of other alternatives. This study demonstrates a successful implementation of PGx testing utilizing an extended PGx panel combined with a customized, informational report to help improve clinical outcomes.

2020 ◽  
Vol 10 (4) ◽  
pp. 256
Author(s):  
Muh. Akbar Bahar ◽  
Pauline Lanting ◽  
Jens H. J. Bos ◽  
Rolf H. Sijmons ◽  
Eelko Hak ◽  
...  

We explored the association between CYP2C19/3A4 mediated drug-gene-interaction (DGI), drug-drug-interaction (DDI) and drug-drug-gene-interaction (DDGI) and (es)citalopram dispensing course. A cohort study was conducted among adult Caucasians from the Lifelines cohort (167,729 participants) and linked dispensing data from the IADB.nl database as part of the PharmLines Initiative. Exposure groups were categorized into (es)citalopram starters with DGI, DDI and DDGI. The primary outcome was drug switching and/or dose adjustment, and the secondary was early discontinuation after the start of (es)citalopram. Logistic regression modeling was applied to estimate adjusted odd ratios with their confidence interval. We identified 316 (es)citalopram starters with complete CYP2C19/3A4 genetic information. The CYP2C19 IM/PM and CYP3A4 NM combination increased risks of switching and/or dose reduction (OR: 2.75, 95% CI: 1.03–7.29). The higher effect size was achieved by the CYP2C19 IM/PM and CYP3A4 IM combination (OR: 4.38, 95% CI: 1.22–15.69). CYP2C19/3A4 mediated DDIs and DDGIs showed trends towards increased risks of switching and/or dose reduction. In conclusion, a DGI involving predicted decreased CYP2C19 function increases the need for (es)citalopram switching and/or dose reduction which might be enhanced by co-presence of predicted decreased CYP3A4 function. For DDI and DDGI, no conclusions can be drawn from the results.


2019 ◽  
Vol 28 (4) ◽  
pp. 993-1005 ◽  
Author(s):  
Gitte Keidser ◽  
Nicole Matthews ◽  
Elizabeth Convery

Purpose The aim of this study was to examine how hearing aid candidates perceive user-driven and app-controlled hearing aids and the effect these concepts have on traditional hearing health care delivery. Method Eleven adults (3 women, 8 men), recruited among 60 participants who had completed a research study evaluating an app-controlled, self-fitting hearing aid for 12 weeks, participated in a semistructured interview. Participants were over 55 years of age and had varied experience with hearing aids and smartphones. A template analysis was applied to data. Results Five themes emerged from the interviews: (a) prerequisites to the successful implementation of user-driven and app-controlled technologies, (b) benefits and advantages of user-driven and app-controlled technologies, (c) barriers to the acceptance and use of user-driven and app-controlled technologies, (d) beliefs that age is a significant factor in how well people will adopt new technology, and (e) consequences that flow from the adoption of user-driven and app-controlled technologies. Specifically, suggested benefits of the technology included fostering empowerment and providing cheaper and more discrete options, while challenges included lack of technological self-efficacy among older adults. Training and support were emphasized as necessary for successful adaptation and were suggested to be a focus of audiologic services in the future. Conclusion User perceptions of user-driven and app-controlled hearing technologies challenge the audiologic profession to provide adequate support and training for use of the technology and manufacturers to make the technology more accessible to older people.


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