Outcomes after early treatment with hydroxychloroquine and azithromycin: An analysis of a database of 30,423 COVID-19 patients.

Azithromycin COVID-19 Hydroxychloroquine Mortality Open data Real-world evidence SARS-CoV-2 Survival

Journal

New microbes and new infections
ISSN: 2052-2975
Titre abrégé: New Microbes New Infect
Pays: England
ID NLM: 101624750

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 20 06 2023
revised: 18 10 2023
accepted: 18 10 2023
medline: 29 11 2023
pubmed: 29 11 2023
entrez: 29 11 2023
Statut: epublish

Résumé

Many studies have evaluated the use of hydroxychloroquine in COVID-19. Most retrospective observational studies demonstrate a benefit of using HCQ on mortality, but not most randomized clinical trials. We analyzed raw data collected from a cohort of 30,423 patients with COVID-19 cared for at IHU Méditerranée Infection in Marseille France and extracted from the DRYAD open data platform. We performed univariate and multivariable logistic regressions with all-cause mortality within six weeks. Multivariable logistic regressions were adjusted for sex, age group (<50, 50-69, 70-89 and ​> ​89 years), periods (or variants), and type of patient management. Among 30,202 patients for whom information on treatment was available, 191/23,172 (0.82%) patients treated with HCQ-AZ died, compared to 344/7030 (4.89%) who did not receive treatment with HCQ-AZ. HCQ-AZ therapy was associated with a lower mortality than treatment without HCQ-AZ (odds ratio (OR) 0.16; 95% confidence interval (CI), 0.14-0.19). After adjustment for sex, age, period, and patient management, HCQ-AZ was associated with a significantly lower mortality rate (adjusted OR (aOR) 0.55, 95% CI 0.45-0.68). On a subsample of 21,664 patients with available variant information, results remained robust after adjustment on sex, age, patient management and variant (aOR 0.55; 95% CI 0.44-0.69). On a subsample of 16,063 patients, HCQ-AZ was still associated with a significantly lower mortality rate (aOR 0.47, 95%CI 0.29-0.75) after adjustment for sex, age, period, patient management, vaccination status and comorbidities. Analysis of this large online database showed that HCQ-AZ was consistently associated with the lowest mortality.

Sections du résumé

Background UNASSIGNED
Many studies have evaluated the use of hydroxychloroquine in COVID-19. Most retrospective observational studies demonstrate a benefit of using HCQ on mortality, but not most randomized clinical trials.
Methods UNASSIGNED
We analyzed raw data collected from a cohort of 30,423 patients with COVID-19 cared for at IHU Méditerranée Infection in Marseille France and extracted from the DRYAD open data platform. We performed univariate and multivariable logistic regressions with all-cause mortality within six weeks. Multivariable logistic regressions were adjusted for sex, age group (<50, 50-69, 70-89 and ​> ​89 years), periods (or variants), and type of patient management.
Results UNASSIGNED
Among 30,202 patients for whom information on treatment was available, 191/23,172 (0.82%) patients treated with HCQ-AZ died, compared to 344/7030 (4.89%) who did not receive treatment with HCQ-AZ. HCQ-AZ therapy was associated with a lower mortality than treatment without HCQ-AZ (odds ratio (OR) 0.16; 95% confidence interval (CI), 0.14-0.19). After adjustment for sex, age, period, and patient management, HCQ-AZ was associated with a significantly lower mortality rate (adjusted OR (aOR) 0.55, 95% CI 0.45-0.68). On a subsample of 21,664 patients with available variant information, results remained robust after adjustment on sex, age, patient management and variant (aOR 0.55; 95% CI 0.44-0.69). On a subsample of 16,063 patients, HCQ-AZ was still associated with a significantly lower mortality rate (aOR 0.47, 95%CI 0.29-0.75) after adjustment for sex, age, period, patient management, vaccination status and comorbidities.
Conclusion UNASSIGNED
Analysis of this large online database showed that HCQ-AZ was consistently associated with the lowest mortality.

Identifiants

pubmed: 38024333
doi: 10.1016/j.nmni.2023.101188
pii: S2052-2975(23)00107-5
pmc: PMC10651676
doi:

Banques de données

Dryad
['10.5061/dryad.ksn02v78v']

Types de publication

Journal Article

Langues

eng

Pagination

101188

Informations de copyright

© 2023 The Authors. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

The authors have completed the Unified Competing Interest form (available on request from the corresponding author). DR declares grants, contracts, royalties and/or licenses from Hitachi High-Technologies Corporation, Tokyo, Japan. DR is a scientific board member of Eurofins. DR is founder and shareholder of four startups, none which have yet generated an income: a microbial culture company (Culture Top), two biotechnology companies (Techno-Jouvence and Gene and Green TK), and a rapid diagnosis of infectious diseases company (Pocramé). PB, MM and PMC declare no support from any organization for the submitted work, no financial relationships with any organisations that might have an interest in the submitted work in the previous three years, and no other relationships or activities that could appear to have influenced the submitted work.

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Auteurs

Philippe Brouqui (P)

Aix-Marseille Université, Marseille, France.

Matthieu Million (M)

Aix-Marseille Université, Marseille, France.

Philippe Parola (P)

Aix-Marseille Université, Marseille, France.

Peter A Mccullough (PA)

Internal Medicine, Truth for Health Foundation, Tucson, USA.

Didier Raoult (D)

Aix-Marseille Université, Marseille, France.

Classifications MeSH