Distribution and antimicrobial resistance of pathogens in oral and maxillofacial infections during and Post-COVID-19 pandemic

Background: This study investigated the distribution characteristics and antimicrobial resistance patterns of pathogens isolated from patients with oral and maxillofacial infections during and after the COVID-19 pandemic. Methods: This retrospective study analyzed microbial cultures of specimens obtained from patients with odontogenic and non-odontogenic oral and maxillofacial infections during the pandemic period (January 2020-December 2022) and the post-pandemic period (January 2023-December 2024). Pathogen identification was performed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Antimicrobial susceptibility testing was conducted using the VITEK 2 Compact automated analyzer, the Kirby-Bauer disk diffusion method, and the Etest. Data were analyzed using WHONET (version 5.6) and R software (version 4.2.1). This study was approved by the Medical Ethics Committee of West China Hospital of Stomatology, Sichuan University (Approval No.: WCHSIRB-D-2025-280). Results: (CR-AB) rose from 9.52 to 17.11%. Conclusion: Following the COVID-19 pandemic, shifts in both the pathogen spectrum and antimicrobial resistance patterns were observed in odontogenic and non-odontogenic infections. These findings reflect an evolving microbial landscape and highlight the need for tailored, etiology-specific antimicrobial strategies in the management of oral and maxillofacial infections. However, as these changes may be attributable to multiple confounding factors, further studies are warranted to establish causality.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-04-10
DOI
https://doi.org/10.3389/fpubh.2026.1805185
Primary Topic
Dental Research and COVID-19
Type
article
Field-Weighted Citation Impact
0.00

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article

Distribution and antimicrobial resistance of pathogens in oral and maxillofacial infections during and Post-COVID-19 pandemic

D Li, Zhiyi Yu, Jingjing Jiang, Yi-Xiang Wang et al.
Frontiers in Public Health
Dental Research and COVID-19
article

Distribution and antimicrobial resistance of pathogens in oral and maxillofacial infections during and Post-COVID-19 pandemic

D Li, Zhiyi Yu, Jingjing Jiang, Yi-Xiang Wang, Cheng Nie, Huamin Li
article en

Abstract

Background: This study investigated the distribution characteristics and antimicrobial resistance patterns of pathogens isolated from patients with oral and maxillofacial infections during and after the COVID-19 pandemic. Methods: This retrospective study analyzed microbial cultures of specimens obtained from patients with odontogenic and non-odontogenic oral and maxillofacial infections during the pandemic period (January 2020-December 2022) and the post-pandemic period (January 2023-December 2024). Pathogen identification was performed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Antimicrobial susceptibility testing was conducted using the VITEK 2 Compact automated analyzer, the Kirby-Bauer disk diffusion method, and the Etest. Data were analyzed using WHONET (version 5.6) and R software (version 4.2.1). This study was approved by the Medical Ethics Committee of West China Hospital of Stomatology, Sichuan University (Approval No.: WCHSIRB-D-2025-280). Results: (CR-AB) rose from 9.52 to 17.11%. Conclusion: Following the COVID-19 pandemic, shifts in both the pathogen spectrum and antimicrobial resistance patterns were observed in odontogenic and non-odontogenic infections. These findings reflect an evolving microbial landscape and highlight the need for tailored, etiology-specific antimicrobial strategies in the management of oral and maxillofacial infections. However, as these changes may be attributable to multiple confounding factors, further studies are warranted to establish causality.

Frontiers in Public HealthVol. 14
Sichuan University (CN), National Clinical Research (US), Stomatology Hospital (CN)
Sichuan University, West China Hospital, Sichuan University
Good health and well-being
Openalex Percentile: Top 25%
Dental Research and COVID-19
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