Evidence map›Paper›PMID 42040146›Full record

ArticleFrontiers in public health2026

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

Dandan Li, Zhujun Yu, Cheng Nie, Huamin Li, Jingjing Jiang, Jianli Wang

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dandan LiState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Pharmacy, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Zhujun YuState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Pharmacy, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Cheng NieState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Pharmacy, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Huamin LiState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Pharmacy, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Jingjing JiangState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Pharmacy, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Jianli WangState Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Pharmacy, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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: While the microbial culture submission rate remained stable, the culture positivity rate decreased from 20.19 during the pandemic to 18.71% in the post-pandemic period. In odontogenic infections, anaerobic bacteria predominated, with 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.

Indexed as

Anti-Bacterial AgentsCOVID-19Drug Resistance, BacterialChinaFemaleHumansMaleMicrobial Sensitivity TestsRetrospective StudiesSARS-CoV-2Anti-Bacterial Agentsantimicrobial resistancedistributionoral and maxillofacial infectionpandemicpathogen

Identifiers

PMID42040146
PMCPMC13106183

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