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РОЛЬ АТС/DDD-МЕТОДОЛОГИИ В ОПТИМИЗАЦИИ ЛЕЧЕНИЯ БОЛЬНЫХ С ОСТРЫМ КОРОНАРНЫМ СИНДРОМОМ

РОЛЬ АТС/DDD-МЕТОДОЛОГИИ В ОПТИМИЗАЦИИ ЛЕЧЕНИЯ БОЛЬНЫХ С ОСТРЫМ КОРОНАРНЫМ СИНДРОМОМ

Abstract

The holding of pharmacoeconomic studies of ACS with the use of ATC/DDD-methodology in order to optimize therapy, it is important. With the use of ATC/DDD-methodology, to estimate the treatment of 1071 patients with myocardial infarction. Тhe highest consumption of medicines groups Platelet aggregation inhibitors and Heparin group. The 3 place - nitrates, on 4 and 5 locations ACE inhibitors and beta-blockers. Behind them, on the level of consumption are diuretics and antithrombotic drugs. Listed group of drugs accounted for 90% of the volume of drug consumption in the analysis of DU90 by groups of medicines. In carrying out VEN-analysis of the data structure of groups of drug preparations, which are vitally necessary and attributed to the category V, amounted to 77.4% of essential drugs (category E) – 22,6%. Statins, which also belong to the category V, were not included in the group of DU-90%. So, ATC/DDD – methodology allows us to objectively assess the drug supply and significantly expands the capabilities of its analysis and may be widely used in practice.

Keywords

atc/ddd-methodology, clinical pharmacology, Internal medicine, RC31-1245, acute coronary syndrome

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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