Evidence map›Paper›PMID 40369697›Full record

ArticleBMC pharmacology & toxicology2025

Prevalence and clinical significance of potential drug-drug interactions of antimicrobials in Intensive Care Unit patients: a retrospective study.

Shanshan Xu, Zhihui Song, Jie Bai, Jiawei Wang

Abstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shanshan XuDepartment of Pharmacy, Beijing Tongren Hospital, No.1 Dongjiaomin Lane, Beijing, Dongcheng District, China.
Zhihui SongDepartment of Pharmacy, Beijing Tongren Hospital, No.1 Dongjiaomin Lane, Beijing, Dongcheng District, China.
Jie BaiDepartment of Pharmacy, Beijing Tongren Hospital, No.1 Dongjiaomin Lane, Beijing, Dongcheng District, China.
Jiawei WangDepartment of Pharmacy, Beijing Tongren Hospital, No.1 Dongjiaomin Lane, Beijing, Dongcheng District, China. wangjw2023@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobials are frequently prescribed in Intensive Care Units (ICUs), where drug-drug interactions (DDIs) with other medications may exacerbate clinical outcomes. Limited evidence exists on the prevalence and clinical impact of these interactions.

objectiveTo estimate the prevalence of potential DDIs (pDDIs) between antimicrobials and other drugs in ICU patients using two electronic DDIs databases, identify the actual DDIs and the most frequently implicated antimicrobials, and determine the risk factors associated with actual DDIs.

methodsWe conducted a retrospective study on patients admitted to intensive care units from January to December 2023. Micromedex and Lexi-Interact were used to identify pDDIs and their severities. Furthermore, we used the Drug Interaction Probability Scale (DIPS) criteria to identify actual DDIs.

resultsAmong 2,154 patients, 2,163 pDDIs (108 unique pairs) were identified in 461 patients, and 2.87% (62 pDDIs in 46 patients) were classified as actual DDIs. The antimicrobials most likely to cause pDDIs included quinolones, triazole antifungals, and linezolid. Antimicrobial-drug pairs with a higher incidence of severe pDDIs included linezolid-dopamine/metoclopramide (hypertension), voriconazole-budesonide for inhalation (increased serum concentration of budesonide), and levofloxacin-amiodarone (QT prolongation). The antimicrobial-drug pairs with a higher occurrence of actual DDIs included linezolid-dopamine/dobutamine (hypertension), fluconazole-amiodarone/ritonavir (QT prolongation), and cefoperazone/vancomycin-furosemide (nephrotoxicity). Moderate agreement existed between the two databases for pDDIs detection (Cohen's kappa = 0.546), but severity ratings diverged. Multivariable analysis identified the number of drugs per patient (OR = 1.178, p < 0.001), the number of antimicrobials per patient (OR = 1.146, p < 0.038), and the length of stay in the ICU (OR = 1.093, p < 0.038) as significant risk factors.

conclusionsHigh pDDI rates involving antimicrobials were observed in ICU patients, though actual DDIs were infrequent. Notable severe risk pairs warrant vigilant monitoring, especially with a higher occurrence of actual DDIs. Discrepancies in DDI databases emphasize the need for multi-tool validation to optimize medication safety.

Indexed as

Anti-Infective AgentsIntensive Care UnitsAdultAgedClinical RelevanceDrug InteractionsFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsAnti-Infective AgentsAdverse drug reactionsAntimicrobialsDrug-drug interactionsIntensive Care Unit patientsLexi-InteractMicromedex

Identifiers

PMID40369697
PMCPMC12076841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.