Clinical Significance and Patterns of Potential Drug-Drug Interactions in Cardiovascular Patients: Focus on Low-Dose Aspirin and Angiotensin-Converting Enzyme Inhibitors.
Nina D AnfinogenovaVadim A StepanovAlexander M ChernyavskyRostislav S KarpovElena V EfimovaOksana M NovikovaIrina A TrubachevaAlla Y FalkovskayaAleksandra S MaksimovaNadezhda I RyumshinaTatiana A ShelkovnikovaWladimir Yu UssovOlga E VaizovaSergey V PopovAlexei N RepinPublished in: Journal of clinical medicine (2024)
Objective : This study assessed the patterns and clinical significance of potential drug-drug interactions (pDDIs) in patients with diseases of the cardiovascular system. Methods : Electronic health records (EHRs), established in 2018-2023, were selected using the probability serial nested sampling method ( n = 1030). Patients were aged 27 to 95 years (65.0% men). Primary diagnosis of COVID-19 was present in 17 EHRs (1.7%). Medscape Drug Interaction Checker was used to characterize pDDIs. The Mann-Whitney U test and chi-square test were used for statistical analysis. Results : Drug numbers per record ranged from 1 to 23 in T-List and from 1 to 20 in P-List. In T-List, 567 drug combinations resulted in 3781 pDDIs. In P-List, 584 drug combinations resulted in 5185 pDDIs. Polypharmacy was detected in 39.0% of records in T-List versus 65.9% in P-List ( p -value < 0.05). The rates of serious and monitor-closely pDDIs due to 'aspirin + captopril' combinations were significantly higher in P-List than in T-List ( p -value < 0.05). The rates of serious pDDIs due to 'aspirin + enalapril' and 'aspirin + lisinopril' combinations were significantly lower in P-List compared with the corresponding rates in T-List ( p -value < 0.05). Serious pDDIs due to administration of aspirin with fosinopril, perindopril, and ramipril were detected less frequently in T-List ( p -value < 0.05). Conclusions : Obtained data may suggest better patient adherence to 'aspirin + enalapril' and 'aspirin + lisinopril' combinations, which are potentially superior to the combinations of aspirin with fosinopril, perindopril, and ramipril. An abundance of high-order pDDIs in real-world clinical practice warrants the development of a decision support system aimed at reducing pharmacotherapy-associated risks while integrating patient pharmacokinetic, pharmacodynamic, and pharmacogenetic information.
Keyphrases
- low dose
- cardiovascular events
- antiplatelet therapy
- electronic health record
- end stage renal disease
- adverse drug
- high dose
- ejection fraction
- clinical practice
- newly diagnosed
- angiotensin converting enzyme
- sars cov
- prognostic factors
- anti inflammatory drugs
- coronavirus disease
- coronary artery disease
- machine learning
- percutaneous coronary intervention
- peritoneal dialysis
- blood pressure
- metabolic syndrome
- drug induced
- human health
- skeletal muscle
- middle aged
- data analysis
- antibiotic resistance genes