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Titel: Pharmacometric Modeling of the Impact of Azelastine Nasal Spray on SARS-CoV-2 Viral Load and Related Symptoms in COVID-19 Patients
VerfasserIn: Dings, Christiane
Meiser, Peter
Holzer, Frank
Flegel, Michael
Selzer, Dominik
Nagy, Eszter
Mösges, Ralph
Klussmann, Jens Peter
Lehr, Thorsten
Sprache: Englisch
Titel: Pharmaceutics
Bandnummer: 14
Heft: 10
Verlag/Plattform: MDPI
Erscheinungsjahr: 2022
Freie Schlagwörter: COVID-19
SARS-CoV-2
azelastine
PK model
virus kinetic mode
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
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.
DOI der Erstveröffentlichung: 10.3390/pharmaceutics14102059
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-377216
hdl:20.500.11880/34149
http://dx.doi.org/10.22028/D291-37721
ISSN: 1999-4923
Datum des Eintrags: 28-Okt-2022
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Pharmazie
Professur: NT - Prof. Dr. Thorsten Lehr
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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