{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T05:00:20Z","timestamp":1790830820407,"version":"4.1.0"},"reference-count":37,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Cell. Infect. Microbiol."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To characterize the distribution and antimicrobial resistance evolution of ESKAPEEc pathogens causing pediatric bloodstream infections in Sichuan Province across the COVID-19 era, and to systematically evaluate the epidemiology of carbapenem resistance (CR), difficult-to-treat resistance (DTR), and MIC drift in vancomycin and linezolid, thereby addressing a long-standing gap in longitudinal pediatric multidrug-resistant surveillance in Southwest China.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A multicenter retrospective study was conducted using pediatric blood culture data from 134 healthcare institutions in Sichuan Province between 2017 and 2025.\u00a0A total of 20,018 isolates were included and stratified into pre-pandemic, pandemic, and post-pandemic periods. Antimicrobial susceptibility testing and DTR classification were interpreted according to CLSI M100 (35th edition) criteria. Statistical analyses were performed using WHONET 5.6 and SPSS 26.0.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 5,236 ESKAPEEc isolates were identified, accounting for 26.2% of all bloodstream isolates. Detection rates increased during the pandemic period and declined thereafter. Carbapenem resistance rates in\n                      <jats:italic>Escherichia coli<\/jats:italic>\n                      and\n                      <jats:italic>Klebsiella pneumoniae<\/jats:italic>\n                      were significantly higher in the post-pandemic period compared with the pre-pandemic baseline. The overall DTR prevalence was 8.6%, with\n                      <jats:italic>Acinetobacter baumannii<\/jats:italic>\n                      exhibiting the highest DTR burden (87.3%) despite a declining temporal trend, whereas DTR in\n                      <jats:italic>K. pneumoniae<\/jats:italic>\n                      increased progressively over time. Reliance on CR criteria alone failed to identify a substantial proportion of DTR-positive\n                      <jats:italic>E. coli<\/jats:italic>\n                      isolates. All\n                      <jats:italic>Staphylococcus aureus<\/jats:italic>\n                      isolates remained susceptible to vancomycin and linezolid\n                      <jats:italic>in vitro<\/jats:italic>\n                      , with stable vancomycin MIC distributions; however, a high-MIC subpopulation among linezolid-treated MRSA isolates increased significantly over time (r=0.767,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.016). Distinct age-stratified differences were observed in both pathogen distribution and resistance profiles.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The COVID-19 pandemic exerted a bidirectional and sustained impact on the pediatric ESKAPEEc landscape and resistance ecology in Sichuan Province. Post-pandemic escalation of carbapenem resistance persists. The persistently high DTR burden in A. baumannii and early MIC drift toward linezolid in MRSA represent two critical regional threats in pediatric infectious disease management. Regional surveillance systems should incorporate DTR metrics alongside CR monitoring and implement age-stratified, precision-based antimicrobial stewardship strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fcimb.2026.1914448","type":"journal-article","created":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T04:45:28Z","timestamp":1790829928000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Distribution, carbapenem resistance and DTR dynamics of ESKAPEEc pathogens from pediatric bloodstream infections in Sichuan Province, 2017-2025: epidemiological characteristics under COVID-19 pandemic and emerging linezolid MIC creep"],"prefix":"10.3389","volume":"16","author":[{"given":"Shanshan","family":"Long","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine, Sichuan Provincial People\u2019s Hospital, University of Electronic Science and Technology of China","place":["Chengdu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Zhong","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Sichuan Provincial People\u2019s Hospital, University of Electronic Science and Technology of China","place":["Chengdu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Sichuan Provincial People\u2019s Hospital, University of Electronic Science and Technology of China","place":["Chengdu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Sichuan Provincial People\u2019s Hospital, University of Electronic Science and Technology of China","place":["Chengdu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuorui","family":"You","sequence":"additional","affiliation":[{"name":"School of Medicine, University of Electronic Science and Technology of China","place":["Chengdu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangning","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Sichuan Provincial People\u2019s Hospital, University of Electronic Science and Technology of China","place":["Chengdu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Sichuan Provincial People\u2019s Hospital, University of Electronic Science and Technology of China","place":["Chengdu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,10,1]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/s10482-025-02181-x","article-title":"Impact of COVID-19 on the prevalence of multi-drug-resistant bacteria: a literature review and meta-analysis","volume":"118","author":"Ahmed","year":"2025","journal-title":"Antonie van Leeuwenhoek"},{"key":"B2","first-page":"412","article-title":"Monitoring of vancomycin MIC trends in Staphylococcus aureus from pediatric patients in Shanghai, 2013\u20132022","volume":"61","author":"Chen","year":"2023","journal-title":"Chin. 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