Evidence map›Paper›PMID 36535689›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2024

Management of nirmatrelvir/ritonavir and tacrolimus interaction in kidney transplant recipients infected by COVID-19: a three-case series.

Carlos Guzmán Cordero, Maria Saez-Torres de Vicente

Open access · bronzeAbstract read
In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2024. 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
1.9field-weighted citation impact, top 15% of its field
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, 9 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Carlos Guzmán CorderoPharmacy Department, Hospital Universitario Reina Sofia, Cordoba, Spain.ORCID 0000-0002-5593-704X
Maria Saez-Torres de VicentePharmacy Department, Hospital Universitario Reina Sofia, Cordoba, Spain maria23_224@hotmail.com.ORCID 0000-0002-5915-9855
Hospital Universitario Reina Sofía · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNirmatrelvir/ritonavir may cause a clinically relevant drug-drug interaction (DDI) with immunosuppressive drugs, such as tacrolimus, which may condition the use of this antiviral in transplant patients. We aimed to describe the management of this interaction.

methodsDescriptive study in which renal transplant patients in treatment with nirmatrelvir/ritonavir and tacrolimus were included. They suspended tacrolimus the day before starting the antiviral treatment, and the decision to restart it was made based on their tacrolimus blood levels. Main variables studied to measure this DDI were tacrolimus blood concentration, dose adjustment and serum creatinine.

resultsThree patients were included. During the study, tacrolimus levels elevation did not have repercussion in the serum creatinine, that remained stable in all patients. No patient required hospitalisation or showed signs of rejection.

conclusionsOur experience provides further evidence that this interaction should not be a contraindication to treatment with nirmatrelvir/ritonavir, and can be managed with close monitoring of tacrolimus levels.

Indexed as

COVID-19Kidney TransplantationLactamsLeucineNitrilesProlineAntiviral AgentsCOVID-19 Drug TreatmentCreatinineHumansRitonavirTacrolimusAntiviral AgentsCreatinineLactamsLeucinenirmatrelvirNitrilesProlineRitonavirTacrolimusCOVID-19DRUG INCOMPATIBILITYDrug MonitoringDRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONSKidney Transplantation

Identifiers

PMID36535689
PMCPMC10895186
OpenAlexW4311943302

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.