Exploring early COVID-19 therapies, variants, and viral clearance dynamics: Insights from a high-risk outpatients study.

COVID-19 Early therapies Variant of concern Viral clearance

Journal

Diagnostic microbiology and infectious disease
ISSN: 1879-0070
Titre abrégé: Diagn Microbiol Infect Dis
Pays: United States
ID NLM: 8305899

Informations de publication

Date de publication:
17 Jul 2024
Historique:
received: 09 05 2024
revised: 01 07 2024
accepted: 16 07 2024
medline: 21 7 2024
pubmed: 21 7 2024
entrez: 20 7 2024
Statut: aheadofprint

Résumé

This retrospective observational study investigates the impact of early COVID-19 therapies, including antivirals and monoclonal antibodies (mAbs), on time to achieve negative swab results in high-risk outpatients infected with specific Omicron sublineages. The study enrolled 104 patients from Luigi Sacco Hospital in Milan between December 2021 and March 2023, categorizing them based on the Omicron sublineage they were infected with (BA.1, BA.2, BA.4/BA.5) and the early treatment they received (antivirals or mAbs). Key data collected included demographic and clinical characteristics, initial and follow-up cycle threshold (Ct) values from qPCR tests, and the interval between swabs. The median age of the participants was 63 years (Interquartile Range [IQR] 54.0-76.5), and 55.8% were male. Among the patients, 15 received mAbs (14.4%), and 99 received antiviral treatments (95.2%) - specifically, Paxlovid (51.9%), Molnupiravir (21.1%), and Remdesivir (12.5%). No patients required hospitalization or experienced mortality during the one-month follow-up period. Regarding Omicron sublineages, 23 patients (22.1%) were infected with BA.1, 53 (51%) with BA.2, and 28 (26.9%) with BA.4/BA.5. The median interval between the initial and follow-up swabs was 6 days (IQR 6.0-7.0). Initial Ct values had a median of 18.5 (IQR 16.5-22.1), which increased to a median of 30.5 (IQR 27.1-33.0) at follow-up, indicating a reduction in viral load. A non-significant trend suggested that patients infected with BA.2 and BA.4/BA.5 sublineages might experience a faster increase in Ct values-indicating quicker viral load reduction - compared to those infected with BA.1, regardless of treatment type. However, this trend did not achieve statistical significance (p=0.609), likely due to the limited sample size and the absence of a clear trend curve. In summary, the study did not find a significant association between specific early therapies and the time to achieve swab negativization. These findings underscore the complex dynamics of viral clearance and highlight the need for further research with larger patient cohorts to refine treatment protocols for high-risk COVID-19 patients.

Identifiants

pubmed: 39032318
pii: S0732-8893(24)00278-5
doi: 10.1016/j.diagmicrobio.2024.116452
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116452

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Andrea Gori reports article publishing charges was provided by EU project ENDVOC GA 101046314. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Marta Colaneri (M)

Department of Infectious Diseases, Unit II, L. Sacco Hospital, ASST Fatebenefratelli Sacco, Milan, Italy; Centre for Multidisciplinary Research in Health Science (MACH), University of Milano, Milano, Italy.

Maddalena Matone (M)

Department of Infectious Diseases, Unit I, L. Sacco Hospital, ASST Fatebenefratelli Sacco, Milan, Italy. Electronic address: maddalena.matone@unimi.it.

Federico Fassio (F)

Department of Public Health, Experimental and Forensic Medicine, Unit of Biostatistics and Clinical Epidemiology, University of Pavia, Pavia, Italy.

Alessia Lai (A)

Department of Biomedical and Clinical Sciences, University of Milan, Milano, Italy.

Annalisa Bergna (A)

Department of Biomedical and Clinical Sciences, University of Milan, Milano, Italy.

Carla Della Ventura (CD)

Department of Biomedical and Clinical Sciences, University of Milan, Milano, Italy.

Lucia Galli (L)

Department of Infectious Diseases, Unit II, L. Sacco Hospital, ASST Fatebenefratelli Sacco, Milan, Italy.

Giovanni Scaglione (G)

Department of Infectious Diseases, Unit II, L. Sacco Hospital, ASST Fatebenefratelli Sacco, Milan, Italy.

Andrea Gori (A)

Department of Infectious Diseases, Unit II, L. Sacco Hospital, ASST Fatebenefratelli Sacco, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milano, Italy; Centre for Multidisciplinary Research in Health Science (MACH), University of Milano, Milano, Italy.

Monica Schiavini (M)

Department of Infectious Diseases, Unit II, L. Sacco Hospital, ASST Fatebenefratelli Sacco, Milan, Italy.

Classifications MeSH