Affiliation:
1. Scientific Centre for Expert Evaluation of Medicinal Products of the Ministry of Health of the Russian Federation
2. Scientific Centre for Expert Evaluation of Medicinal Products of the Ministry of Health of the Russian Federation; I. M. Sechenov First Moscow State Medical University (Sechenov University)
Abstract
Drug-drug interactions (DDIs) are a major cause of hospital admissions, accounting for 16.6% of ADRs and about 1% of all hospital admissions. Polypharmacy is on the rise, with a Swedish population-based study of people aged ;;;75 years showing that the prevalence of polypharmacy increased from 27% in 1988 to 54% in 2001 and to 65% in 2006. The aim of the study was to analyze the databases on DDI and to assess the possibility of their use in managing the risks of pharmacotherapy in the Russian Federation and the EAEU. Results. The main DDI databases are characterized. The degree of inconsistency in data on the number of DDI, severity and clinical recommendations was determined. The basic requirements for the completeness of information in databases are formulated. The necessity to harmonize approaches to providing information about DDI, as well as the need to create local databases for medical organizations were revealed. A computer program has been created to minimize the risks of DDI in clinical practice, for expert and scientific purposes. Conclusions. Databases and programs for DDI have different goals, a different set of data on DDI with varying degrees of evidence, differences in assessment of severity, likelihood of occurrence, clinical recommendations for treatment and correction of DDI. The variability of information is due to the lack of a unified system for assessing the severity and likelihood of potential negative consequences of DDI; different purposes for creation; difference in budgets at creation. This situation leads to warning redundancy and physician fatigue from insignificant or unproven DDIs. Based on the identified requirements for local databases, a computer program for modeling rational pharmacotherapy for lower respiratory tract infections was created and received a certificate of state registration.
Reference26 articles.
1. Kontsioti E., Maskell S., Bensalem A., Dutta B., Pirmohamed M. Similarity and consistency assessment of three major online drug-drug interaction resources. Br J Clin Pharmacol. 2022 Sep; 88 (9): 4067–4079. doi: 10.1111/bcp.15341. Epub 2022 Apr 12. PMID: 35362214; PMCID: PMC9545693.
2. Department of Health and Social Care. Good for You, Good for Us, Good for Everybody: A Plan to Reduce Overprescribing to Make Patient Care Better and Safer, Support the NHS, and Reduce Carbon Emissions; 2021. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1019475/good-for-you-good-forus-good-for-everybody.pdf. Published September 22, 2021. Accessed март 28, 2023.
3. Wastesson J.W., Morin L., Tan E.C.K., Johnell K. An update on the clinical consequences of polypharmacy in older adults: a narrative review. Expert Opinion on Drug Safety. 2018; 27 Jul: 1185–1196. doi: https://doi.org/10.1080/14740338.2018.1546841
4. Pirmohamed M., James S., Meakin S., Green C. Adverse drug reactions as cause of admission to hospital. BMJ. 2004; 329 (7463): 15–19. doi: 10.1136/bmj.329.7456.15.
5. Magro L., Moretti U., Leone R. Epidemiology and characteristics of adverse drug reactions caused by drug–drug interactions. Expert Opin Drug Saf. 2012; 11 (1): 83–94. doi: 10.1517/14740338.2012.631910.