Comprehensive Analysis of Drug Utilization Patterns, Gender Disparities, Lifestyle Influences, and Genetic Factors: Insights from Elderly Cohort Using g-Nomic ® Software.
Bárbara Rodríguez CastilloMarc CendrósCarlos J CiudadAna SabaterPublished in: Pharmaceuticals (Basel, Switzerland) (2024)
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.
Keyphrases
- adverse drug
- healthcare
- middle aged
- cardiovascular disease
- metabolic syndrome
- weight loss
- end stage renal disease
- randomized controlled trial
- community dwelling
- mental health
- newly diagnosed
- ejection fraction
- drug induced
- type diabetes
- machine learning
- gene expression
- risk assessment
- peritoneal dialysis
- deep learning
- climate change
- low density lipoprotein
- affordable care act