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Full-Text Articles in Medicine and Health Sciences
A Data Driven Approach To Profile Potential Sars-Cov-2 Drug Interactions Using Tylerade, Robert P. Schumaker, Michael A. Veronin, Trevor Rohm, Matthew Boyett, Rohit R. Dixit
A Data Driven Approach To Profile Potential Sars-Cov-2 Drug Interactions Using Tylerade, Robert P. Schumaker, Michael A. Veronin, Trevor Rohm, Matthew Boyett, Rohit R. Dixit
Journal of International Technology and Information Management
We use a data driven approach on a cleaned adverse drug reaction database to determine the reaction severity of several covid-19 drug combinations currently under investigation. We further examine their safety for vulnerable populations such as individuals 65 years and older. Our key findings include 1. hydroxychloroquine/chloroquine are associated with increased adverse drug event severity versus other drug combinations already not recommended by NIH treatment guidelines, 2. hydroxychloroquine/azithromycin are associated with lower adverse drug event severity among older populations, 3. lopinavir/ritonavir had lower adverse reaction severity among toddlers and 4. the combination of azithromycin, hydroxychloroquine and tocilizumab is safer than …
Factors And Outcomes Associated With Potentially Inappropriate Medication Use In Rural Community-Dwelling Older Adults, Marcia Y. Shade
Factors And Outcomes Associated With Potentially Inappropriate Medication Use In Rural Community-Dwelling Older Adults, Marcia Y. Shade
Theses & Dissertations
Potentially inappropriate medications (PIMs) use in older adults is a significant public health concern. The use of PIMs to avoid may lead to negative outcomes such as adverse drug events. Prior conceptual analysis of PIMs use and observation of health-related factors in rural adults led to the design of this dissertation study. A sample was recruited from a population of rural community-dwelling older adults to examine the following specific aims: 1) Describe the use of PIMs to avoid, 2) Explore individual demographic characteristics (age, gender, income, education, and rural home location), health experience (comorbidity, number of medications and health providers), …