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 <front>
  <journal-meta>
   <journal-id journal-id-type="nlm-ta">Ulutas Med J</journal-id>
   <journal-title-group>
    <journal-title>The Ulutas Medical Journal</journal-title>
    <abbrev-journal-title>Ulutas Med J</abbrev-journal-title>
   </journal-title-group>
   <issn pub-type="ppub">2149-0430</issn>
   <issn pub-type="epub">2149-388X</issn>
   <publisher>
    <publisher-name>Hayriye Zehra Ulutaş</publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">10.5455/umj.20210121074612</article-id>
   <article-id pub-id-type="publisher-id">47571</article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>Letter to the Editor</subject>
    </subj-group>
    <subj-group subj-group-type="subject">
     <subject>Clinical Microbiology</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title>Antimicrobial Resistance in Taiwan During COVID-19 Pandemic</article-title>
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" corresp="yes">
     <contrib-id contrib-id-type="orcid" authenticated="false">https://orcid.org/0000-0003-0235-9060</contrib-id>
     <name name-style="western">
      <surname>Chao</surname>
      <given-names>Chien-Ming</given-names>
     </name>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
     <role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing – review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
     <xref ref-type="aff" rid="aff1">1</xref>
    </contrib>
    <aff id="aff1">
     <label>1</label>
     <institution-wrap>
      <institution-id institution-id-type="ror">https://ror.org/02y2htg06</institution-id>
      <institution>Department of Intensive Care Medicine, Chi-Mei Medical Center, Liouying, Tainan, Taiwan</institution>
     </institution-wrap>
    </aff>
   </contrib-group>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2021-03-23">
    <day>23</day>
    <month>03</month>
    <year>2021</year>
   </pub-date>
   <pub-date publication-format="print" date-type="collection">
    <year>2021</year>
   </pub-date>
   <volume>7</volume>
   <issue>1</issue>
   <fpage>1</fpage>
   <lpage>3</lpage>
   <history>
    <date date-type="received" iso-8601-date="2021-01-21">
     <day>21</day>
     <month>01</month>
     <year>2021</year>
    </date>
    <date date-type="rev-recd" iso-8601-date="2021-02-10">
     <day>10</day>
     <month>02</month>
     <year>2021</year>
    </date>
    <date date-type="accepted" iso-8601-date="2021-02-27">
     <day>27</day>
     <month>02</month>
     <year>2021</year>
    </date>
   </history>
   <permissions>
    <copyright-statement>© 2021 The Author(s)</copyright-statement>
    <copyright-year>2021</copyright-year>
    <license>
     <ali:license_ref>https://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref>
     <license-p>This is an open access article distributed under the CC BY-NC 4.0 licence.</license-p>
    </license>
   </permissions>
   <self-uri xlink:href="https://www.ulutasmedicaljournal.com/?mno=47571"/>
   <self-uri content-type="pdf" xlink:href="https://www.ulutasmedicaljournal.com/pdf/47571.pdf"/>
   <abstract>
    <p>Coinfection or secondary infection is not uncommon for COVID-19 patients, especially for patients with a critical illness (1). The appropriate antibiotic should be indicated for the population, however, we should also seriously concerned about another important issue about the possible altered antimicrobial resistance due to the increasing use of antibiotics during the COVID-19 pandemic (2-4). Therefore, we conducted this study to assess the change of antibiotic resistance before and after the COVID-19 outbreak using an open database-Taiwan Nosocomial Infection surveillance System (TNIS). The TNIS was launched by Taiwan Centers for Disease Control in 2007, which aimed to monitor the occurrence of healthcare-associated infections (HAIs) and to assess the epidemiologic trends of HAIs. In addition to HAI, this system also provided the antimicrobial susceptibility results from reporting hospitals, including a medical center and regional hospitals. This study used the recent report of TNIS, which showed the surveillance results of HAI and associated antimicrobial resistance to this June, for analysis (5). Percentage (%) change was defined as the difference in the number of antibiotic resistance rates between 2020 and 2019, divided by the resistance rate in 2019 and multiplied by 100</p>
   </abstract>
   <kwd-group kwd-group-type="author">
    <kwd>Antimicrobial resistance</kwd>
    <kwd>COVID-19</kwd>
    <kwd>Taiwan</kwd>
   </kwd-group>
   <funding-group>
    <funding-statement>Funding information was not reported in the published version of this article.</funding-statement>
   </funding-group>
  </article-meta>
 </front>
 <body>
  <p id="b-1">
   <bold>Dear Editor, </bold>
Coinfection or secondary infection is not uncommon for COVID-19 patients, especially for patients with a critical illness (   <xref ref-type="bibr" rid="ref1">1</xref>
). The appropriate antibiotic should be indicated for the population, however, we should also seriously concerned about another important issue about the possible altered antimicrobial resistance due to the increasing use of antibiotics during the COVID-19 pandemic (   <xref ref-type="bibr" rid="ref2">2</xref>
–   <xref ref-type="bibr" rid="ref4">4</xref>
). Therefore, we conducted this study to assess the change of antibiotic resistance before and after the COVID-19 outbreak using an open epidemiologic trends of HAIs. In addition to HAI, this system also provided the antimicrobial susceptibility results from reporting hospitals, including a medical center and regional hospitals. This study used the recent report of TNIS, which showed the surveillance results of HAI and associated antimicrobial resistance to this June, for analysis (   <xref ref-type="bibr" rid="ref5">5</xref>
). Percentage (%) change was defined as the difference in the number of antibiotic resistance rates between 2020 and 2019, divided by the resistance rate in 2019 and multiplied by 100.</p>
  <p id="b-2">database-Taiwan Nosocomial Infection First, this summary of antibiotic resistance surveillance System (TNIS).</p>
  <p id="b-3">The TNIS was launched by Taiwan Centers for Disease Control in 2007, which aimed to monitor the occurrence of healthcare-associated infections (HAIs) and to assess the among the clinical isolates causing HAIs in the medical center’s intensive care unit (ICU) collected between January and July 2020 showed carbapenem-resistance rate among clinical isolates of Acinetobacter baumannii, Enterobacteriaceae, Escherichia coli, Klebsiella pneumonia, and Pseudomonas aeruginosa were 75.2%, 26%, 1.5%, 46.7%, and 17.4%, respectively. Vancomycin-resistance among E. faecium and Enterococci was 45.6% and 67.8%, respectively. Methicillin-resistance rate among Staphylococcus aureus was 54.5% (Table 1). Second, the findings in regional hospital’s ICU showed carbapenem-resistance among clinical isolates of A. baumannii, Entero bacteriaceae, E. coli, K. pneumoniae, and P. aeruginosa were 75.5%, 19.2%, 4.2%, 33.1%, and 16.5%, respectively. Vancomycin-resistance among Enterococci and E. faecium was 37.8% and 57.5%, respectively. Methicillin-resistance rate among S. aureus was 61%. Third, the change of antibiotic resistance rate between 2019 and the first half of 2020 showed carbapenem-resistance rate among A. baumannii, Entero bacteriaceae, and K. pneumoniae had an increase in the medical center from 2019 to 2020. In contrast, another kind of antibiotic resistance rate had decreased from 2019 to 2020. Finally, a similar trend was observed in a regional hospital. The only carbapenem-resistance among A. baumannii had increased, but other antibiotic-resistant had decreased. In this letter, we shared the increasing carbapenem-resistant rate during the COVID- 19 pandemic among the clinical A. baumannii isolates in the ICU in both medical centers and regional hospitals. Besides, the carbapenem-resistant rate among K. pneumoniae isolates was found to be increasing in medical centers’ ICU. In contrast, we observed the resistance rates were decreasing for the carbapenem against E. coli and P. aeruginosa, vancomycin against Enterococci, and methicillin-against S. aureus isolates collected in both medical center and regional hospitals’ ICUs. Our findings suggest that we should keep on appropriate antibiotic prescribing practices according to antimicrobial stewardship programmers, the use of carbapenem in Taiwan particularly. Besides, the regular monitoring of antimicrobial resistance results in each hospital is helping to establish the epidemiologic database for the clinicians’ reference in the prescribing of antimicrobial agents. However, our finding was just based on short-term surveillance. Further long-term assessment of the impact of COVID- 19 on antimicrobial resistance is warranted.</p>
  <table-wrap id="tbl-1" position="float">
   <label>Table 1</label>
   <caption>
    <title>Antibiotic resistance rate among clinical isolates causing healthcare-associated infection in 2019 and first half of 2020 in Taiwan</title>
   </caption>
   <graphic xlink:href="tbl-1.png">
    <alt-text>Table 1: Antibiotic resistance rate among clinical isolates causing healthcare-associated infection in 2019 and first half of 2020 in Taiwan</alt-text>
   </graphic>
  </table-wrap>
 </body>
 <back>
  <ref-list>
   <title>References</title>
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 </back>
</article>
