Evidence map›Paper›PMID 22903542›Full record

ArticleEuropean journal of clinical pharmacology2013

Identification and weighting of the most critical "real-life" drug-drug interactions with acenocoumarol in a tertiary care hospital.

L Gschwind, V Rollason, C Lovis, F Boehlen, P Bonnabry, P Dayer, J A Desmeules

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Article in European journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

L GschwindDivision of Clinical Pharmacology and Toxicology, University Hospitals of Geneva, Rue Gabrielle-Perret-Gentil 4, 1211 Geneva 14, Switzerland. liliane.gschwind@gmail.com
V Rollason
C Lovis
F Boehlen
P Bonnabry
P Dayer
J A Desmeules

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this study was to identify the most clinically relevant drug-drug interactions (DDIs) at risk of affecting acenocoumarol safety in our tertiary care university hospital, a 2,000 bed institution.

methodsWe identified DDIs occurring with acenocoumarol by combining two different sources of information: a 1-year retrospective analysis of acenocoumarol prescriptions and comedications from our Computerized Physician Order Entry (CPOE) system (n = 2,439 hospitalizations) and a retrospective study of clinical pharmacology consultations involving acenocoumarol over the past 14 years (1994-2007) (n = 407). We classified these DDIs using an original risk-analysis method. A criticality index was calculated for each associated drug by multiplying three scores based on mechanism of interaction, involvement in a supratherapeutic international normalized ratio (INR) (≥ 6) and involvement in a severe bleeding.

resultsOne hundred and twenty-six DDIs were identified and weighted. Twenty-eight drugs had a criticality index ≥ 20 and were therefore considered at high risk for interacting with acenocoumarol by increasing its effect: 75% of these drugs involved a pharmacokinetic mechanism and 14 % a pharmacodynamic mechanism. An unknown mechanism of interaction was involved in 11 % of drugs.

conclusionTwenty-eight specific drugs were identified as being at high risk for interacting with acenocoumarol in our hospital using an original risk-analysis method. Most analyzed drugs interact with acenocoumarol via a pharmacokinetic mechanism. Actions such as the implementation of alerts in our CPOE system should be specifically developed for these drugs.

Indexed as

Adverse Drug Reaction Reporting SystemsMedical Order Entry SystemsTertiary Care CentersAcenocoumarolAnticoagulantsBlood CoagulationDrug InteractionsDrug PrescriptionsHemorrhageHospital Bed CapacityHospitals, UniversityHumansInternational Normalized RatioMedication ErrorsOdds RatioRetrospective StudiesAcenocoumarolAnticoagulants

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.