Evidence map›Paper›PMID 41353130›Full record

Observational studyBMC infectious diseases2025

Baseline medication profile and risk of CYP3A4 mediated drug-drug interactions among COVID-19 hospitalized patients in Spain.

Alejandro Martín-Quirós, Alex Soriano, Francisco Tejerina-Picado, Roberto Güerri-Fernández, Manuel Cotarelo, Brian Molloy, Elvira Fernández-Vigo, Fernando Chacón

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMC infectious diseases, 2025. 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Alejandro Martín-QuirósEmergency Department, Hospital Universitario La Paz, Madrid, 28046, Spain.
Alex SorianoDepartment of Infectious Diseases, Hospital Clínic de Barcelona, Barcelona, 08036, Spain.
Francisco Tejerina-PicadoDepartment of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, 28007, Spain.
Roberto Güerri-FernándezDepartment of Infectious Diseases, Hospital del Mar, Barcelona, 08001, Spain.
Manuel CotareloMSD Spain, Madrid, 28027, Spain.
Brian MolloyMSD Spain, Madrid, 28027, Spain.
Elvira Fernández-VigoMSD Spain, Madrid, 28027, Spain.
Fernando ChacónMSD Spain, Madrid, 28027, Spain. Fernando.chacon3@msd.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 remains a significant cause of hospitalizations and deaths. Some COVID-19 treatments interact with a key liver enzyme complex, CYP450. Detecting potential drug interactions with these antivirals is crucial as they are usually indicated for patients with chronic treatments.

objectivesDescribe the baseline co-medication profile in hospitalized COVID-19 patients in Spain and analyze potential CYP3A4 mediated drug-drug interactions (DDI) and contraindications.

methodsObservational, retrospective, multi-center study, based on hospital electronic medical records. Patients were adults hospitalized for respiratory COVID-19 between January 1, 2022, and March 31, 2022. Descriptive analyses were performed for all outcomes.

resultsThe mean age was 73.9 years old; 57% were male, 58% non-smokers, and 99.45% of patients had multiple comorbidities associated with an increased risk of COVID-19. 76% of patients were vaccinated against SARS-CoV-2, but only 30% with a full schedule including a booster dose. 90.32% of patients had co-medications upon admission, and 84.1% took three or more medications. 98.7% had medications with potential CYP3A4 mediated DDI, 40% had contraindicated drugs, and 37% had major DDI risk. 71.33% of all drugs administered had potential interactions. 25.33% of the patients had renal impairment, 88.81% moderate or severe, and 2.83% exhibited hepatic impairment.

conclusionsThe study reveals high prevalence of co-medications and potential DDI among high-risk COVID-19 patients, with a high prevalence of polypharmacy, particularly the elderly, and a substantial number of contraindicated drugs. It emphasizes the need for careful medication management, close monitoring, and vigilance in prescribing treatments to mitigate DDI risks.

Indexed as

Antiviral AgentsCOVID-19COVID-19 Drug TreatmentCytochrome P-450 CYP3AAgedAged, 80 and overDrug InteractionsFemaleHospitalizationHumansMaleMiddle AgedPolypharmacyRetrospective StudiesSARS-CoV-2SpainAntiviral AgentsCYP3A4 protein, humanCytochrome P-450 CYP3AComedicationContraindicationCOVID-19Drug-drug interactionHospital care

Identifiers

PMID41353130
PMCPMC12797418

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Registered trials

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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.