Comprehensive Analysis of Drug Utilization Patterns, Gender Disparities, Lifestyle Influences, and Genetic Factors: Insights from Elderly Cohort Using g-Nomic® Software

Author:

Rodríguez Castillo Bárbara1,Cendrós Marc2,Ciudad Carlos J.1ORCID,Sabater Ana2ORCID

Affiliation:

1. Department of Biochemistry and Physiology, School of Pharmacy and Food Sciences, Universidad de Barcelona, 08007 Barcelona, Spain

2. Technical Department, Eugenomic, 08029 Barcelona, Spain

Abstract

Polypharmacy is a global healthcare concern, especially among the elderly, leading to drug interactions and adverse reactions, which are significant causes of death in developed nations. However, the integration of pharmacogenetics can help mitigate these risks. In this study, the data from 483 patients, primarily elderly and polymedicated, were analyzed using Eugenomic®’s personalized prescription software, g-Nomic®. The most prescribed drug classes included antihypertensives, platelet aggregation inhibitors, cholesterol-lowering drugs, and gastroprotective medications. Drug–lifestyle interactions primarily involved inhibitions but also included inductions. Interactions were analyzed considering gender. Significant genetic variants identified in the study encompassed ABCB1, SLCO1B1, CYP2C19, CYP2C9, CYP2D6, CYP3A4, ABCG2, NAT2, SLC22A1, and G6PD. To prevent adverse reactions and enhance medication effectiveness, it is strongly recommended to consider pharmacogenetics testing. This approach shows great promise in optimizing medication regimens and ultimately improving patient outcomes.

Publisher

MDPI AG

Reference26 articles.

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4. Polypharmacy among Adults Aged 65 Years and Older in the United States: 1988-2010;Charlesworth;J. Gerontol. Ser. A Biol. Sci. Med. Sci.,2015

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