Evidence map›Paper›PMID 37092113›Full record

ArticleAfrican health sciences2022

Evaluation of potential drug-drug interactions and polypharmacy in hospitalized COVID-19 patients.

Türkan Paşalı Kilit, Filiz Özyiğit, Sertaş Erarslan, Kevser Onbaşı

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Article in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 7 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

4 authors at 1 institution in 1 country.

Türkan Paşalı KilitDepartment of Internal Medicine, Kütahya Health Sciences University Faculty of Medicine, Kütahya, Turkey.
Filiz ÖzyiğitKütahya, Turkey.
Sertaş ErarslanDepartment of Internal Medicine, Kütahya Health Sciences University Faculty of Medicine, Kütahya, Turkey.
Kevser OnbaşıDepartment of Endocrinology, Kütahya Health Sciences University Faculty of Medicine, Kütahya, Turkey.
Dumlupinar University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Drugs that are used in COVID-19 infection, may interact with each other, as well as with the drugs for comorbidities, used concomitantly with COVID-19 treatment. Objectives: It is quite important to calculate and present the patients' exposure to clinically important potential drug-drug interactions (pDDIs). We aimed to investigate the pDDIs and the burden of polypharmacy in COVID-19. Methods: The medical records of 126 consecutive inpatients with COVID-19 treatment were retrospectively analyzed. The Lexi-interact database was used to investigate pDDIs. Results: According to the Lexi-interact database, 605 pDDIs were detected. Of these pDDIs, 23 (3.8%) were A risk category interaction, 186 (30.7%) were B risk category interaction, 339 (56%) were C risk category interaction, 54 (8.9%) were D risk category interaction, and 3 (0.5%) were X risk category interaction. Sixty-five-point five percent of pDDIs (n=396) were clinically important pDDIs (C, D, and X categories), and 69 patients (54.8%) had at least one clinically important pDDIs. The most interacting drug was hydroxychloroquine (n=171, 28.3%). Hydroxychloroquine was also the most interacting drug in the C risk category (n=101, 29.8%) and had 19 pDDIs with metformin, 16 pDDIs with beta-blockers, 13 pDDIs with acetylsalicylic acid, and 10 pDDIs with insulin in the C risk category. Enoxaparin was the most interacting drug (n=25, 46.3%) in the D risk category and most of them were with acetylsalicylic acid (n=12). The most common possible clinical manifestations of pDDIs were QT prolongation, hypoglycemia, and hemorrhage. One hundred and eighteen patients (93.6%) used five or more drugs daily. There was a significant positive correlation between the number of drugs prescribed to patients and the number of clinically important pDDIs (r=0.80, p<0.001). Conclusions: Clinically important pDDIs are common among COVID-19 patients and the majority of pDDIs require monitoring of therapy. COVID-19 patients should be closely observed for QT prolongation, hypoglycemia, and hemorrhage due to pDDIs during treatment.

Indexed as

COVID-19Long QT SyndromeCOVID-19 Drug TreatmentDrug InteractionsHumansHydroxychloroquinePolypharmacyRetrospective StudiesHydroxychloroquineCOVID-19drug interactionspolypharmacy

Identifiers

PMID37092113
PMCPMC10117511
OpenAlexW4323059692

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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.