Evidence map›Paper›PMID 41749323›Full record

Observational studyBMC pharmacology & toxicology2026

Clinical pharmacist-led prevention of intravenous drug incompatibilities in an adult ICU: a prospective observational study.

Tülay Kayra, Leyla Ferliçolak, İlker Ateş, Neriman Defne Altıntaş, Arzu Onay-Besikci

Abstract readObservational Study
In one paragraph

Observational study in BMC pharmacology & toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tülay KayraFaculty of Pharmacy, Department of Pharmacology, Ankara University, Ankara, Turkey.
Leyla FerliçolakFaculty of Medicine, Department of Internal Medicine, Division of Critical Care, Ankara University, Ankara, Turkey.
İlker AteşFaculty of Pharmacy, Department of Toxicology, Ankara University, Ankara, Turkey.
Neriman Defne AltıntaşFaculty of Medicine, Department of Internal Medicine, Division of Critical Care, Ankara University, Ankara, Turkey.
Arzu Onay-BesikciFaculty of Pharmacy, Department of Pharmacology, Ankara University, Ankara, Turkey. abesikci@ankara.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients in intensive care units (ICU) usually need multiple intravenous drugs (IV) simultaneously and have a limited number of venous routes. This makes IV incompatibility an important problem in these units. The aims of this study were to identify the frequency of possible drug incompatibilities in the ICU and to prepare specific pharmaceutical guidelines for the unit to the prevent them.

methodsThis cross-sectional and prospective study was conducted in Medical Intensive Care Unit (MICU) at Ankara University. Possible incompatibilities of IV drugs were assessed using the IBM Micromedex® and Stabilis 4.0 databases.

resultsThree hundred and thirty-eight drug request lists (DRL) of a total of 67 patients were included. At least one possible incompatibility was detected in 68.3% (95% CI: 63.3%–73.3%) of the drug request lists. First three drug groups that cause the most of incompatibilities belonged to the alimentary tract and metabolism, the anti-infectives for systemic use, systemic hormonal drugs and hormone regulators. The analysis of the type of IV drug administration showed that possible incompatibilities most commonly occurred between the continuously infused and bolus drugs (25%, n = 134/532). There was a moderate positive correlation between the number of anti-infective agents and possible incompatibilities (rho:0.41, p:0.001). Extreme drugs accounted for 40.6% (n = 432/1064) of the drugs that cause possible drug-drug incompatibilities. In terms of compatibility category, a poor degree of agreement was found between Micromedex and Stabilis (Cohen kappa = 0.174; 95% CI: 0.08–0.27; p < 0.001). Excluding “unknown” drug pairs slightly improved agreement between the databases (Cohen kappa increased from 0.174 to 0.293). A total of 567 recommendations were made during the study to prevent possible drug incompatibilities. All of which have been accepted and implemented. Of specific importance, all drug-solution incompatibilities were associated with anti-infective agents. A cross-table containing the Micromedex incompatibility data of the most frequently administered drugs with incompatibilities was prepared based on the data. There was no data for 33% (n = 438/1326) of the analyzed drug pairs in this cross-table.

conclusionsInterventions performed by clinical pharmacists contribute to preventing and reducing possible drug incompatibilities. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Drug IncompatibilityIntensive Care UnitsPharmacistsAdministration, IntravenousAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesClinical pharmacyDrug incompatibilityIntensive care unitIntravenous drug

Identifiers

PMID41749323
PMCPMC13041401

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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.