Evidence map›Paper›PMID 36297492›Full record

ArticlePharmaceutics2022

Pharmacometric Modeling of the Impact of Azelastine Nasal Spray on SARS-CoV-2 Viral Load and Related Symptoms in COVID-19 Patients.

Christiane Dings, Peter Meiser, Frank Holzer, Michael Flegel, Dominik Selzer, Eszter Nagy, Ralph Mösges, Jens Peter Klussmann, Thorsten Lehr

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Review
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

9 authors at 3 institutions in 1 country.

Christiane DingsDepartment of Clinical Pharmacy, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0001-6550-2819
Peter MeiserURSAPHARM Arzneimittel GmbH, Industriestraße 35, 66129 Saarbrücken, Germany.ORCID 0000-0002-6689-0056
Frank HolzerURSAPHARM Arzneimittel GmbH, Industriestraße 35, 66129 Saarbrücken, Germany.
Michael FlegelURSAPHARM Arzneimittel GmbH, Industriestraße 35, 66129 Saarbrücken, Germany.
Dominik SelzerDepartment of Clinical Pharmacy, Saarland University, 66123 Saarbrücken, Germany.
Eszter NagyCEBINA GmbH, Karl-Farkas-Gasse 22, 1030 Vienna, Austria.
Ralph MösgesFaculty of Medicine, Institute of Medical Statistics and Computational Biology (IMSB), University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Jens Peter KlussmannFaculty of Medicine, Center for Molecular Medicine Cologne (CMMC), University of Cologne, Robert-Koch-Str. 21, 50931 Cologne, Germany.ORCID 0000-0002-8223-7954
Thorsten LehrDepartment of Clinical Pharmacy, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0002-8372-1465
Saarland University · DEURSAPHARM (Germany) · DEUniversity of Cologne · DE

Funding

URSAPHARM Arzneimittel GmbH, Industriestraße 35, 66129 Saarbrücken, Germany not applicable
6 · The paper itself

Abstract

The histamine-1 receptor antagonist azelastine was recently found to impact SARS-CoV-2 viral kinetics in a Phase 2 clinical trial (CARVIN). Thus, we investigated the relationship between intranasal azelastine administrations and viral load, as well as symptom severity in COVID-19 patients and analyzed the impact of covariates using non-linear mixed-effects modeling. For this, we developed a pharmacokinetic (PK) model for the oral and intranasal administration of azelastine. A one-compartment model with parallel absorption after intranasal administration described the PK best, covering both the intranasal and the gastro-intestinal absorption pathways. For virus kinetic and symptoms modeling, viral load and symptom records were gathered from the CARVIN study that included data of 82 COVID-19 patients receiving placebo or intranasal azelastine. The effect of azelastine on viral load was described by a dose-effect model targeting the virus elimination rate. An extension of the model revealed a relationship between COVID-19 symptoms severity and the number of infected cells. The analysis revealed that the intranasal administration of azelastine led to a faster decline in viral load and symptoms severity compared to placebo. Moreover, older patients showed a slower decline in viral load compared to younger patients and male patients experienced higher peak viral loads than females.

Indexed as

azelastineCOVID-19PK modelSARS-CoV-2virus kinetic model

Identifiers

PMID36297492
PMCPMC9609097
OpenAlexW4297474667

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.