Evidence map›Paper›PMID 34127740›Full record

ArticleScientific reports2021

Drug-drug interactions between treatment specific pharmacotherapy and concomitant medication in patients with COVID-19 in the first wave in Spain.

M D Cantudo-Cuenca, Antonio Gutiérrez-Pizarraya, Ana Pinilla-Fernández, Enrique Contreras-Macías, M Fernández-Fuertes, F A Lao-Domínguez, Pilar Rincón, Juan Antonio Pineda, Juan Macías, Ramón Morillo-Verdugo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 1 institution in 1 country.

M D Cantudo-CuencaPharmacy Unit, Hospital Universitario Virgen de Valme, Ctra. de Cádiz Km. 548,9, Seville, Spain.
Antonio Gutiérrez-PizarrayaPharmacy Unit, Hospital Universitario Virgen de Valme, Ctra. de Cádiz Km. 548,9, Seville, Spain. boticariors@gmail.com.
Ana Pinilla-FernándezInfectious Diseases and Microbiology Unit, Hospital Universitario Virgen de Valme, Avda. Bellavista s/n, 41014, Seville, Spain.
Enrique Contreras-MacíasPharmacy Unit, Hospital Universitario Virgen de Valme, Ctra. de Cádiz Km. 548,9, Seville, Spain.
M Fernández-FuertesInfectious Diseases and Microbiology Unit, Hospital Universitario Virgen de Valme, Avda. Bellavista s/n, 41014, Seville, Spain.
F A Lao-DomínguezPharmacy Unit, Hospital Universitario Virgen de Valme, Ctra. de Cádiz Km. 548,9, Seville, Spain.
Pilar RincónInfectious Diseases and Microbiology Unit, Hospital Universitario Virgen de Valme, Avda. Bellavista s/n, 41014, Seville, Spain.
Juan Antonio PinedaInfectious Diseases and Microbiology Unit, Hospital Universitario Virgen de Valme, Avda. Bellavista s/n, 41014, Seville, Spain.
Juan MacíasInfectious Diseases and Microbiology Unit, Hospital Universitario Virgen de Valme, Avda. Bellavista s/n, 41014, Seville, Spain.
Ramón Morillo-VerdugoPharmacy Unit, Hospital Universitario Virgen de Valme, Ctra. de Cádiz Km. 548,9, Seville, Spain.
Hospital Universitario de Valme · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary aim was to assess prevalence and severity of potential and real drug-drug interactions (DDIs) among therapies for COVID-19 and concomitant medications in hospitalized patients with confirmed SARS-CoV-2 infection. The secondary aim was to analyze factors associated with rDDIs. An observational single center cohort study conducted at a tertiary hospital in Spain from March 1st to April 30th. rDDIs refer to interaction with concomitant drugs prescribed during hospital stay whereas potential DDIs (pDDIs) refer to those with domiciliary medication. DDIs checked with The University of Liverpool resource. Concomitant medications were categorized according to the Anatomical Therapeutic Chemical classification system. Binomial logistic regression was carried out to identify factors associated with rDDIs. A total of 174 patients were analyzed. DDIs were detected in 152 patients (87.4%) with a total of 417 rDDIs between COVID19-related drugs and involved hospital concomitant medication (60 different drugs) while pDDIs were detected in 105 patients (72.9%) with a total of 553 pDDIs. From all 417 rDDIs, 43.2% (n = 180) were associated with lopinavir/ritonavir and 52.9% (n = 221) with hydroxychloroquine, both of them the most prescribed (106 and 165 patients, respectively). The main mechanism of interaction observed was QTc prolongation. Clinically relevant rDDIs were identified among 81.1% (n = 338) ('potential interactions') and 14.6% (n = 61) (contraindicated) of the patients. Charlson index (OR 1.34, 95% IC 1.02-1.76) and number of drugs prescribed during admission (OR 1.42, 95% IC 1.12-1.81) were independently associated with rDDIs. Prevalence of patients with real and pDDIs was high, especially those clinically relevant. Both comorbidities and polypharmacy were found as risk factors independently associated with DDIs development.

Indexed as

COVID-19 Drug TreatmentDrug InteractionsAgedAnalgesicsCardiovascular DiseasesCohort StudiesCOVID-19DiureticsFemaleHumansHydroxychloroquineLopinavirMaleMiddle AgedNervous System DiseasesPolypharmacyAnalgesicsDiureticsHydroxychloroquineLopinavirRitonavir

Identifiers

PMID34127740
PMCPMC8203634
OpenAlexW3170405389

What OpenQuestion holds

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LicenceCC BY
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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.