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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1382944</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effectiveness of COVID-19 XBB.1.5 monovalent mRNA vaccine in Korea: interim analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Nham</surname>
<given-names>Eliel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sohn</surname>
<given-names>Jang Wook</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2263833"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Choi</surname>
<given-names>Won Suk</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wie</surname>
<given-names>Seong-Heon</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Jacob</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Jin-Soo</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jeong</surname>
<given-names>Hye Won</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Eom</surname>
<given-names>Joong Sik</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Choi</surname>
<given-names>Yu Jung</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Seong</surname>
<given-names>Hye</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yoon</surname>
<given-names>Jin Gu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Noh</surname>
<given-names>Ji Yun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Joon Young</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1791387"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cheong</surname>
<given-names>Hee Jin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2401424"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kim</surname>
<given-names>Woo Joo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2642420"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Vaccine Innovation Center-Korea University (KU) Medicine (VIC-K)</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Division of Infectious Diseases, Department of Internal Medicine, St. Vincent&#x2019;s Hospital, College of Medicine, The Catholic University of Korea</institution>, <addr-line>Suwon</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Division of Infectious Diseases, Department of Internal Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Division of Infectious Diseases, Department of Internal Medicine, Inha University School of Medicine</institution>, <addr-line>Incheon</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Internal Medicine, Chungbuk National University College of Medicine</institution>, <addr-line>Cheongju</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Division of Infectious Diseases, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine</institution>, <addr-line>Incheon</addr-line>, <country>Republic of Korea</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Mrinmoy Sanyal, Stanford University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yashavanth Shaan Lakshmanappa, University of California, Davis, United States</p>
<p>Azad Kumar, Arcturus Therapeutics, Inc., United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Woo Joo Kim, <email xlink:href="mailto:wjkim@korea.ac.kr">wjkim@korea.ac.kr</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1382944</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Nham, Sohn, Choi, Wie, Lee, Lee, Jeong, Eom, Choi, Seong, Yoon, Noh, Song, Cheong and Kim</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Nham, Sohn, Choi, Wie, Lee, Lee, Jeong, Eom, Choi, Seong, Yoon, Noh, Song, Cheong and Kim</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>As coronavirus disease-2019 (COVID-19) becomes an endemic disease, the virus continues to evolve and become immunologically distinct from previous strains. Immune imprinting has raised concerns about bivalent mRNA vaccines containing both ancestral virus and Omicron variant. To increase efficacy against the predominant strains as of the second half of 2023, the updated vaccine formulation contained only the mRNA of XBB.1.5 sublineage. We conducted a multicenter, test-negative, case-control study to estimate XBB.1.5 monovalent vaccine effectiveness (VE) and present the results of an interim analysis with data collected in November 2023. Patients who underwent COVID-19 testing at eight university hospitals were included and matched based on age (19-49, 50-64, and &#x2265;65 years) and sex in a 1:1 ratio. VE was calculated using the adjusted odds ratio derived from multivariable logistic regression. Of the 992 patients included, 49 (5.3%) received the XBB.1.5 monovalent vaccine at least 7 days before COVID-19 testing. Patients with COVID-19 (cases) were less likely to have received the XBB.1.5 monovalent vaccine (case 3.5% vs. control 7.2%, p=0.019) and to have a history of COVID-19 within 6 months (2.2% vs. 4.6%, p=0.068). In contrast, patients with COVID-19 were more likely to be healthcare workers (8.2% vs. 3.0%, p=0.001) and to have chronic neurological diseases (16.7% vs. 11.9%, p=0.048). The adjusted VE of the XBB.1.5 monovalent mRNA vaccine was 56.8% (95% confidence interval: 18.7-77.9%). XBB.1.5 monovalent mRNA vaccine provided significant protection against COVID-19 in the first one to two months after vaccination.</p>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>SARS-CoV-2</kwd>
<kwd>XBB.1.5</kwd>
<kwd>Omicron</kwd>
<kwd>vaccine</kwd>
<kwd>effectiveness</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="25"/>
<page-count count="6"/>
<word-count count="2751"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Vaccines and Molecular Therapeutics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Since its first emergence in late 2019, the ever-changing nature of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has made previous immunity acquired through infection or vaccines based on ancestral SARS-CoV-2 less effective. This immune evasion became more apparent with the emergence of the Omicron variant and its sublineages since late 2021 (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). To combat this, bivalent vaccines containing the mRNA of both ancestral SARS-CoV-2 and Omicron variant were administered as a booster shot in 2022. However, near-total replacement of the&#xa0;ancestral SARS-CoV-2 by the Omicron variant and the phenomenon of immune imprinting have raised questions about the utility of including the mRNA of the ancestral SARS-CoV-2 in future coronavirus disease 2019 (COVID-19) vaccines (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>In mid-2023, the World Health Organization and the United States (US) Food and Drug Administration advised pharmaceutical companies to only include component of the XBB lineage (&#x201c;monovalent&#x201d;) in the updated COVID-19 vaccines for the 2023/2024 season (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). XBB-monovalent vaccines were also recommended by the Advisory Committee on Immunization Practices for the corresponding season, serving as both a booster dose and primary series, for all persons aged six months or older (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Similar to influenza vaccines, vaccine efficacy reports are not required for these updated vaccines before authorization. Although it has become essential to monitor the effectiveness of COVID-19 vaccines, studies on this matter are scarce. To fill this knowledge gap, we aimed to investigated COVID-19 XBB.1.5 monovalent mRNA vaccine effectiveness in Korea. This is an interim analysis of data collected through a network of tertiary teaching hospitals created to monitor respiratory infectious diseases since 2011 (<xref ref-type="bibr" rid="B12">12</xref>).</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<p>This is a retrospective, multicenter, test-negative, case-control study. Patients aged 19 years or older who underwent COVID-19 testing at eight participating hospitals (mostly located in the Seoul Metropolitan Area) were included. Individuals who were tested for COVID-19 as part of pre-admission surveillance (i.e., without clinical or epidemiological risk factors for COVID-19) were excluded. Cases were defined as patients who tested positive for COVID-19 using reverse transcription polymerase chain reaction (RT-PCR) or a lateral flow assay with nasopharyngeal swab samples. Those that tested negative were classified as controls. The limit of detection for the RT-PCR test and RAT we used is 5,000 copies/mL and 2.5&#xd7;10<sup>1.8</sup> TCID<sub>50</sub>/mL, respectively. For SARS-CoV-2, 2.5&#xd7;10<sup>1.8</sup> TCID<sub>50</sub>/mL falls in the range between 5&#xd7;10<sup>5</sup>&#x2013;1&#xd7;10<sup>6</sup> copies/mL (<xref ref-type="bibr" rid="B13">13</xref>). The LOD value of RAT meets the WHO requirement of 100&#x2013;1,000 TCID<sub>50</sub>/mL. For this interim analysis, data collected in November 2023 were included.</p>
<p>The case and control groups were matched based on age (19&#x2013;49, 50&#x2013;64, and &#x2265;65 years) and sex in a 1:1 ratio. Information on demographics, COVID-19 vaccination history, recent history of COVID-19, comorbidities, symptoms, and clinical outcomes was collected through chart review. The vaccination status was verified using the National Immunization Registry of the Korean Disease Control and Prevention Agency. The vaccine was considered effective if administered at least seven days before the date of COVID-19 testing. In Korea, two mRNA vaccines were available (Comirnaty Omicron XBB.1.5, Spikevax XBB.1.5) since October 19, 2023. Comirnaty and Spikevax are mRNA vaccines manufactured by Pfizer-BioNTech (New York, NY, USA and Mainz, Germany) and Moderna (Cambridge, MA, USA), respectively. Each vaccine contains 30 &#x3bc;g/0.3mL and 50 &#x3bc;g/0.5mL of mRNA encoding the spike protein of SARS-CoV-2 Omicron XBB.1.5 sublineage. Both vaccines were administered intramuscularly.</p>
<p>Categorical variables were compared using the chi-square test or Fisher&#x2019;s exact test. In addition to receipt of the XBB.1.5 monovalent vaccine, the following variables were included in the multivariable logistic regression: age, sex, comorbidities, receipt of bivalent vaccination in 2022, recent history of COVID-19, and being a healthcare worker. We then removed variables with p values greater than 0.15 from the multivariable model (backward selection). Multicollinearity between variables was defined as a variance inflation factor greater than 10. The goodness of fit of the regression model was examined using the Hosmer&#x2013;Lemeshow test. Vaccine effectiveness (VE) was calculated using the adjusted odds ratio derived from the multivariable logistic regression (1-adjusted odds ratio). Statistical significance was defined as p &lt; 0.05. Statistical analyses were performed using the R software (version 4.3.1; R Foundation, Vienna, Austria).</p>
<p>This study was reviewed and approved by the Institutional Review Board (IRB) of each participating hospital: Korea University Guro Hospital (approval no. 2022GR0360), Korea University Anam Hospital (2022AN0449), Korea University Ansan Hospital (2022AS0226), St. Vincent&#x2019;s Hospital (VC22TIDI0150), Kangnam Sacred Heart Hospital (HKS 2022-07-016), Inha University Hospital (2022-07-036), Chungbuk National University Hospital (2022-08-022), and Gil Medical Center (GAIRB2022-306). The requirement for written informed consent was waived because of the retrospective nature of this study.</p>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>A total of 992 patients were included in the study. Information on the baseline characteristics and clinical outcomes is summarized in <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref> and <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>. Among them, 49 (5.3%) received the XBB.1.5 monovalent mRNA vaccine at least seven days before the date of COVID-19 testing. The median time since vaccination to COVID-19 testing was 18 days (range, 7&#x2013;36 days; interquartile range, 12&#x2013;27 days). Two hundred and four (22.1%) patients received BA.1 (n=89, 45.1%) or BA.4/5 (n=112, 54.9%) bivalent COVID-19 mRNA vaccine during the 2022/2023 season. Thirty-one patients (3.4%) reported a history of COVID-19 within six months. Those with at least one comorbidity accounted for 58.4% (n=538); diabetes mellitus (n=216, 23.4%), cardiovascular disease (148, 6.1%), and chronic neurologic disease (n=132, 14.3%) were the most common comorbidities. Out of 538, 211 (39%) was younger than 65 years and 327 (61%) was 65 years or older. Four hundred and forty-five (48.3%) patients were hospitalized and 20 (2.2%) died during hospitalization.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristics</th>
<th valign="middle" align="center">Total<break/>(n=922)</th>
<th valign="middle" align="center">Case<break/>(n=461)</th>
<th valign="middle" align="center">Control<break/>(n=461)</th>
<th valign="middle" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age group (years)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="middle" align="center">&gt;0.999</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;19-49</td>
<td valign="middle" align="center">296 (32.1%)</td>
<td valign="middle" align="center">148 (32.1%)</td>
<td valign="middle" align="center">148 (32.1%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;50-64</td>
<td valign="middle" align="center">228 (24.7%)</td>
<td valign="middle" align="center">114 (24.7%)</td>
<td valign="middle" align="center">114 (24.7%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;65+</td>
<td valign="middle" align="center">398 (43.2%)</td>
<td valign="middle" align="center">199 (43.2%)</td>
<td valign="middle" align="center">199 (43.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="middle" align="center">&gt;0.999</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="center">420 (45.6%)</td>
<td valign="middle" align="center">210 (45.6%)</td>
<td valign="middle" align="center">210 (45.6%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">502 (54.4%)</td>
<td valign="middle" align="center">251 (54.4%)</td>
<td valign="middle" align="center">251 (54.4%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Receipt of XBB.1.5 monovalent mRNA vaccine</td>
<td valign="middle" align="center">60 (6.5%)</td>
<td valign="middle" align="center">20 (4.3%)</td>
<td valign="middle" align="center">40 (8.7%)</td>
<td valign="middle" align="center">0.011</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;7 days before COVID-19 testing</td>
<td valign="middle" align="center">49 (5.3%)</td>
<td valign="middle" align="center">16 (3.5%)</td>
<td valign="middle" align="center">33 (7.2%)</td>
<td valign="middle" align="center">0.019</td>
</tr>
<tr>
<td valign="middle" align="left">Receipt of Omicron bivalent vaccine</td>
<td valign="middle" align="center">204 (22.1%)</td>
<td valign="middle" align="center">110 (23.9%)</td>
<td valign="middle" align="center">94 (20.4%)</td>
<td valign="middle" align="center">0.234</td>
</tr>
<tr>
<td valign="middle" align="left">History of COVID-19<break/>within six months</td>
<td valign="middle" align="center">31 (3.4%)</td>
<td valign="middle" align="center">10 (2.2%)</td>
<td valign="middle" align="center">21 (4.6%)</td>
<td valign="middle" align="center">0.068</td>
</tr>
<tr>
<td valign="middle" align="left">Being a healthcare worker</td>
<td valign="middle" align="center">52 (5.6%)</td>
<td valign="middle" align="center">38 (8.2%)</td>
<td valign="middle" align="center">14 (3.0%)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Reason for testing</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;COVID-19-related symptoms</td>
<td valign="middle" align="center">772 (83.7%)</td>
<td valign="middle" align="center">360 (78.1%)</td>
<td valign="middle" align="center">412 (89.4%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Close contact with patient(s)</td>
<td valign="middle" align="center">10 (1.1%)</td>
<td valign="middle" align="center">9 (2.0%)</td>
<td valign="middle" align="center">1 (0.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Others</td>
<td valign="middle" align="center">140 (15.2%)</td>
<td valign="middle" align="center">92 (20.0%)</td>
<td valign="middle" align="center">48 (10.4%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Comorbidities</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;One or more</td>
<td valign="middle" align="center">538 (58.4%)</td>
<td valign="middle" align="center">277 (60.1%)</td>
<td valign="middle" align="center">261 (56.6%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Diabetes mellitus</td>
<td valign="middle" align="center">216 (23.4%)</td>
<td valign="middle" align="center">114 (24.7%)</td>
<td valign="middle" align="center">102 (22.1%)</td>
<td valign="middle" align="center">0.392</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hypertension</td>
<td valign="middle" align="center">104 (11.3%)</td>
<td valign="middle" align="center">49 (10.6%)</td>
<td valign="middle" align="center">55 (11.9%)</td>
<td valign="middle" align="center">0.603</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Cardiovascular disease</td>
<td valign="middle" align="center">148 (16.1%)</td>
<td valign="middle" align="center">80 (17.4%)</td>
<td valign="middle" align="center">68 (14.8%)</td>
<td valign="middle" align="center">0.324</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Chronic lung disease</td>
<td valign="middle" align="center">53 (5.7%)</td>
<td valign="middle" align="center">14 (3.0%)</td>
<td valign="middle" align="center">39 (8.5%)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Chronic kidney disease</td>
<td valign="middle" align="center">59 (6.4%)</td>
<td valign="middle" align="center">31 (6.7%)</td>
<td valign="middle" align="center">28 (6.1%)</td>
<td valign="middle" align="center">0.788</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Chronic liver disease</td>
<td valign="middle" align="center">24 (2.6%)</td>
<td valign="middle" align="center">12 (2.6%)</td>
<td valign="middle" align="center">12 (2.6%)</td>
<td valign="middle" align="center">&gt;0.999</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Chronic neurological disease</td>
<td valign="middle" align="center">132 (14.3%)</td>
<td valign="middle" align="center">77 (16.7%)</td>
<td valign="middle" align="center">55 (11.9%)</td>
<td valign="middle" align="center">0.048</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Solid cancer</td>
<td valign="middle" align="center">116 (12.6%)</td>
<td valign="middle" align="center">59 (12.8%)</td>
<td valign="middle" align="center">57 (12.4%)</td>
<td valign="middle" align="center">0.921</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hematologic malignancy</td>
<td valign="middle" align="center">19 (2.1%)</td>
<td valign="middle" align="center">11 (2.4%)</td>
<td valign="middle" align="center">8 (1.7%)</td>
<td valign="middle" align="center">0.643</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Use of immunosuppressant</td>
<td valign="middle" align="center">38 (4.1%)</td>
<td valign="middle" align="center">16 (3.5%)</td>
<td valign="middle" align="center">22 (4.8%)</td>
<td valign="middle" align="center">0.408</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;HIV infection</td>
<td valign="middle" align="center">1 (0.1%)</td>
<td valign="middle" align="center">1 (0.2%)</td>
<td valign="middle" align="center">0 (0.0%)</td>
<td valign="middle" align="center">&gt;0.999</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Pregnancy</td>
<td valign="middle" align="center">14 (1.5%)</td>
<td valign="middle" align="center">7 (1.5%)</td>
<td valign="middle" align="center">7 (1.5%)</td>
<td valign="middle" align="center">&gt;0.999</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>COVID-19, coronavirus disease 2019; HIV, human immunodeficiency virus.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Clinical outcomes of study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristics</th>
<th valign="middle" align="center">Total<break/>(n=922)</th>
<th valign="middle" align="center">Case<break/>(n=461)</th>
<th valign="middle" align="center">Control<break/>(n=461)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="4" align="left">Symptoms</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Fever</td>
<td valign="middle" align="center">472 (51.2%)</td>
<td valign="middle" align="center">239 (51.8%)</td>
<td valign="middle" align="center">233 (50.5%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Cough</td>
<td valign="middle" align="center">293 (31.8%)</td>
<td valign="middle" align="center">157 (34.1%)</td>
<td valign="middle" align="center">136 (29.5%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Sputum</td>
<td valign="middle" align="center">221 (24.0%)</td>
<td valign="middle" align="center">109 (23.6%)</td>
<td valign="middle" align="center">112 (24.3%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Sore throat</td>
<td valign="middle" align="center">143 (15.5%)</td>
<td valign="middle" align="center">92 (20.0%)</td>
<td valign="middle" align="center">51 (11.1%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Rhinorrhea/Nasal congestion</td>
<td valign="middle" align="center">105 (11.4%)</td>
<td valign="middle" align="center">60 (13.0%)</td>
<td valign="middle" align="center">45 (9.8%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Dyspnea</td>
<td valign="middle" align="center">193 (20.9%)</td>
<td valign="middle" align="center">64 (13.9%)</td>
<td valign="middle" align="center">129 (28.0%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Chest discomfort</td>
<td valign="middle" align="center">49 (5.3%)</td>
<td valign="middle" align="center">9 (2.0%)</td>
<td valign="middle" align="center">40 (8.7%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Loss of smell</td>
<td valign="middle" align="center">1 (0.1%)</td>
<td valign="middle" align="center">1 (0.2%)</td>
<td valign="middle" align="center">0 (0.0%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Loss of taste</td>
<td valign="middle" align="center">1 (0.1%)</td>
<td valign="middle" align="center">1 (0.2%)</td>
<td valign="middle" align="center">0 (0.0%)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Clinical outcomes</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hospitalization</td>
<td valign="middle" align="center">445 (48.3%)</td>
<td valign="middle" align="center">213 (46.2%)</td>
<td valign="middle" align="center">232 (50.3%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Intensive care unit admission</td>
<td valign="middle" align="center">94 (10.2%)</td>
<td valign="middle" align="center">40 (8.7%)</td>
<td valign="middle" align="center">54 (11.7%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;In-hospital death</td>
<td valign="middle" align="center">20 (2.2%)</td>
<td valign="middle" align="center">11 (2.4%)</td>
<td valign="middle" align="center">9 (2.0%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;30-day mortality</td>
<td valign="middle" align="center">18 (2.0%)</td>
<td valign="middle" align="center">10 (2.2%)</td>
<td valign="middle" align="center">8 (1.7%)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Compared to patients without COVID-19, lesser number of patients with COVID-19 received the XBB.1.5 monovalent vaccine at least seven days before the date of COVID-19 testing (case 3.5% vs. control 7.2%, p=0.019), have a history of COVID-19 within 6 months (2.2% vs. 4.6%, p=0.068), or have chronic pulmonary disease (3.0% vs. 8.5%, p&lt;0.001). In contrast, case patients were more likely to be healthcare workers (8.2% vs. 3.0%, p=0.001) and have chronic neurological disease (16.7% vs. 11.9%, p=0.048). The adjusted VE of the XBB.1.5 monovalent mRNA vaccine was 56.8% (95% confidence interval: 18.7&#x2013;77.9%, p = 0.011) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The Hosmer-Lemeshow test showed that our model provided a good fit to the data (p = 0.988).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Results of multivariable logistic regression analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variables</th>
<th valign="middle" align="center">Odds ratio (95% confidence interval)</th>
<th valign="middle" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Receipt of XBB.1.5<break/>monovalent mRNA vaccine*</td>
<td valign="middle" align="center">0.432 (0.221&#x2013;0.813)</td>
<td valign="middle" align="center">0.011</td>
</tr>
<tr>
<td valign="middle" align="center">History of COVID-19<break/>within 6 months</td>
<td valign="middle" align="center">0.538 (0.238&#x2013;1.145)</td>
<td valign="middle" align="center">0.119</td>
</tr>
<tr>
<td valign="middle" align="center">Receipt of bivalent vaccine<break/>in 2022</td>
<td valign="middle" align="center">1.340 (0.949&#x2013;1.899)</td>
<td valign="middle" align="center">0.097</td>
</tr>
<tr>
<td valign="middle" align="center">Age group</td>
<td valign="middle" align="center">1.063 (0.890&#x2013;1.270)</td>
<td valign="middle" align="center">0.499</td>
</tr>
<tr>
<td valign="middle" align="center">Sex</td>
<td valign="middle" align="center">1.040 (0.796&#x2013;1.360)</td>
<td valign="middle" align="center">0.773</td>
</tr>
<tr>
<td valign="middle" align="center">Chronic pulmonary disease</td>
<td valign="middle" align="center">0.361 (0.184&#x2013;0.672)</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="center">Chronic neurological disease</td>
<td valign="middle" align="center">1.433 (0.961&#x2013;2.147)</td>
<td valign="middle" align="center">0.078</td>
</tr>
<tr>
<td valign="middle" align="center">Being a healthcare worker</td>
<td valign="middle" align="center">2.894 (1.549&#x2013;5.713)</td>
<td valign="middle" align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>COVID-19, coronavirus disease 2019.</p>
</fn>
<fn>
<p>*At least seven days before COVID-19 testing.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>We found that the XBB.1.5 monovalent mRNA vaccine conferred significant protection against COVID-19 in the first month after vaccination. To the best of our knowledge, this is the first study on XBB.1.5 monovalent VE against symptomatic COVID-19 outside the US as of February 5, 2024, at which this manuscript was submitted for publication. Our results are in line with the most recent US study, which reported 54% of early VE estimate in adults (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>As it has become clear that COVID-19 is here to stay despite rapid development and distribution of effective vaccines, questions regarding future vaccination strategies have been raised. To improve immunogenicity against the immune-evasive Omicron variant and its sublineages, the first updated &#x201c;bivalent&#x201d; vaccine was developed in 2022. However, the bivalent vaccine did not appear to have better immunogenicity against the Omicron variant than the monovalent vaccine based on the ancestral SARS-CoV-2 (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B15">15</xref>). This has led to the development of XBB-based monovalent vaccines in 2023 to increase the XBB antigen dose and avoid immune imprinting. To date, studies on this novel COVID-19 vaccine are limited. The only study that compared the immunogenicity of XBB.1.5 monovalent and bivalent (XBB.1.5 and BA.4/5) mRNA vaccines found that the monovalent vaccines were not significantly more immunogenic than the bivalent vaccine (<xref ref-type="bibr" rid="B16">16</xref>). Because this study was not powered to detect statistical significance, whether a monovalent vaccine would be a better choice in the future remains uncertain.</p>
<p>In addition to the controversy surrounding antigen doses in updated vaccines, there is an ongoing debate regarding the necessity of annual update of the COVID-19 vaccine itself. XBB.1.5 monovalent mRNA vaccines are immunogenic against emerging Omicron sublineages, including EG.5.1, HV.1, and JN.1 (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Our findings are consistent with this, considering HK.3 and EG.5 accounted for 87% of circulating sublineages during the study period (<xref ref-type="bibr" rid="B18">18</xref>). While studies conducted to date, including ours, suggested that XBB.1.5 monovalent vaccines were effective in preventing laboratory-confirmed COVID-19 or COVID-19-related hospitalization, cautious interpretation is needed because all of these studies only included the early post-vaccination period (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). More data from longer observation periods are required to establish future vaccination strategies.</p>
<p>There was a remarkable difference in the number of patients who experienced COVID-19-related symptoms between the case and control group. Symptoms that occurred more frequently in the control group were dyspnea (case 64 [14%] vs. control 129 [28%]) and chest discomfort (case 9 [2%] vs control 40 [9%]). This may be partly explained by the greater number of patients with chronic lung disease in the control group (case 14 [3%] vs. control 39 [9%]). Other respiratory pathogens such as influenza virus, respiratory syncytial virus, adenovirus and Mycoplasma pneumoniae that had been circulating in the community during the study period could have been the cause as well (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>This study has several limitations. First, owing to the retrospective nature of the study, some confounders may have remained unadjusted. Second, we did not collect data on the exact number of prior COVID-19 vaccinations, which may have been a protective factor. However, this effect is likely to be small because 1) most Korean adults had completed primary series vaccination (96.6% were vaccinated twice and 75.2% three times as of October 28, 2022); 2) 78.6% of the Korean population had acquired natural immunity by contracting COVID-19 (due to any SARS-CoV-2 variant) as of August 31, 2023, which seems to be an undercount; and 3) neutralizing antibody levels after vaccination or infection wane after several months, making remote vaccination or infection less protective, especially less severe ones (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). Third, although the control group exclusively comprised symptomatic individuals, the case group included some asymptomatic persons (close contacts with COVID-19 cases), making the two groups less comparable in terms of healthcare-seeking behaviors. Fourth, the use of lateral flow assay, which is less sensitive than RT-PCR, may have overlooked some COVID-19 cases.</p>
<p>In conclusion, the XBB.1.5 monovalent mRNA vaccine provided significant protection against COVID-19 in the first month after vaccination. Full analysis results will be followed.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this article are not readily available because of the institutional bans on the export of clinical data. Requests to access the datasets should be directed to WK, wjkim@korea.ac.kr.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Review Board of: Korea University Guro Hospital, Korea University Anam Hospital, Korea University Ansan Hospital, St. Vincent&#x2019;s Hospital, Kangnam Sacred Heart Hospital, Inha University Hospital, Chungbuk National University Hospital, and Gil Medical Center. The studies were conducted in accordance with the local legislation and institutional requirements The requirement for written informed consent was waived because of the retrospective nature of this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>EN: Data curation, Investigation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review, Supervision. JWS: Data curation, Investigation, Writing &#x2013; review. WSC: Data curation, Investigation, Writing &#x2013; review. SHW: Data curation, Investigation, Writing &#x2013; review. JL: Data curation, Investigation, Writing &#x2013; review. JSL: Data curation, Investigation, Writing &#x2013; review. HWJ: Data curation, Investigation, Writing &#x2013; review. JSE: Data curation, Investigation, Writing &#x2013; review. YJC: Investigation, Writing &#x2013; review. HS: Investigation, Writing &#x2013; review. JGY: Investigation, Writing &#x2013; review. JYN: Investigation, Writing &#x2013; review. JYS: Conceptualization, Methodology, Investigation, Writing &#x2013; original draft, Writing &#x2013; review, Supervision. HJC: Investigation, Writing &#x2013; review. WJK: Conceptualization, Investigation, Writing &#x2013; review, Supervision.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors declared that this study received funding from SK Bioscience CO., Ltd. The funder was not involved in the study design, data collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We appreciate Dr. Soon Young Hwang at the Department of Biostatistics, Korea University College of Medicine, for her advice on statistical analysis.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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