Evidence map›Paper›PMID 42304184›Full record

ArticleJournal of intensive care2026

Diagnostic performance of package insert-based screening for potential drug-drug interactions in ICU patients receiving injectable medications: a retrospective diagnostic accuracy study using Lexi-Interact as the comparator in Japan.

Takahiro Kato, Noriko Yasukawa, Eriko Uno, Kenta Kanamori, Eizo Watanabe, Yukihiro Hamada

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Article in Journal of intensive care, 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

6 authors.

Takahiro KatoDepartment of Pharmacy, Kochi Medical School, Kochi University, Nankoku, Kochi, Japan, 185-1 Kohasu, Oko-Cho, 783-8505. takahirokato207@gmail.com.
Noriko YasukawaDepartment of Pharmacy, Aichi Medical University Hospital, Nagakute, Japan.
Eriko UnoDepartment of Pharmacy, Aichi Medical University Hospital, Nagakute, Japan.
Kenta KanamoriDepartment of Pharmacy, Aichi Medical University Hospital, Nagakute, Japan.
Eizo WatanabeAdvanced Critical Care Center, Aichi Medical University Hospital, Nagakute, Japan.
Yukihiro HamadaDepartment of Pharmacy, Kochi Medical School, Kochi University, Nankoku, Kochi, Japan, 185-1 Kohasu, Oko-Cho, 783-8505.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo established gold standard exists for identifying potential drug-drug interactions (pDDIs). In Japan, package inserts are commonly used for pDDI screening in clinical practice, whereas internationally curated databases such as Lexi-Interact serve widely as clinical decision support tools. However, the performance of package insert-based pDDI identification in intensive care unit (ICU) settings has not been fully evaluated. Therefore, in this study, we aimed to evaluate the concordance of package insert-based screening for detecting pDDIs in ICU patients receiving injectable medications, using Lexi-Interact as the comparator.

methodsThis single-center retrospective cohort study included adult ICU admissions involving patients aged ≥ 18 years at two ICUs of a tertiary hospital. Clinically significant pDDIs among injectable drugs were assessed at three predefined timepoints (day 2, day 5, and the day before ICU discharge). Package insert-based pDDI identification was compared with Lexi-Interact as the comparator. The primary outcome was the negative predictive value (NPV) of package insert-based screening for clinically significant pDDIs. Diagnostic performance was evaluated using sensitivity, specificity, positive predictive value (PPV), and weighted kappa in relation to Lexi-Interact as a pragmatic comparator. Robustness was assessed via ICU admission-level cluster bootstrap analysis with 10,000 resamples.

resultsAmong 345 eligible ICU admissions, package insert-based screening yielded an NPV of 0.98, a sensitivity of 0.80, a specificity of 0.91, and a PPV of 0.51 compared with Lexi-Interact. Agreement between the two sources was moderate (weighted kappa = 0.57). Bootstrap analysis confirmed stable estimates of diagnostic performance. Interactions identified exclusively by Lexi-Interact were predominantly category C, with only one category D interaction and no category X interactions.

conclusionsIn ICU settings, package insert-based identification of pDDIs involving injectable drugs showed high NPV, sensitivity, and specificity relative to Lexi-Interact. These findings suggest that package insert-based screening may serve as a practical initial screening approach with substantial concordance with Lexi-Interact classifications in ICU pharmacotherapy. Nevertheless, discrepancies in interaction severity classification highlight the potential benefit of complementary use of internationally established databases to enhance clinical interpretation and medication safety in critical care.

Indexed as

Clinical decision supportCritical careMedication safetyPackage insertsPotential drug–drug interactions

Identifiers

PMID42304184
PMCPMC13491932

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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.