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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1662544</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Epidemiology and antimicrobial resistance of pathogens in pediatric sinus infections: a retrospective study at a Japanese otolaryngology clinic (2023&#x2013;2025)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kitaya</surname>
<given-names>Shiori</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/2603625/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kikuchi</surname>
<given-names>Toshiaki</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Nomura</surname>
<given-names>Kazuhiro</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nomura</surname>
<given-names>Yuri</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ikeda</surname>
<given-names>Ryoukichi</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1578814/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kanamori</surname>
<given-names>Hajime</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3172802/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Katori</surname>
<given-names>Yukio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Otolaryngology-Head and Neck Surgery, Tohoku University Graduate School of Medicine</institution>, <addr-line>Sendai, Miyagi</addr-line>,&#xa0;<country>Japan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Infectious Diseases and Laboratory Medicine, Kanazawa University</institution>, <addr-line>Kanazawa, Ishikawa</addr-line>,&#xa0;<country>Japan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Sendai Sta. North Gate ENT. Clinic</institution>, <addr-line>Sendai, Miyagi</addr-line>,&#xa0;<country>Japan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Center for Otologic Surgery, Sen-en Rifu Hospital</institution>, <addr-line>Sendai, Miyagi</addr-line>,&#xa0;<country>Japan</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Otolaryngology-Head and Neck Surgery, Iwate Medical University, School of Medicine</institution>, <addr-line>Shiwa, Iwate</addr-line>,&#xa0;<country>Japan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1119744/overview">Muhammad Usman Munir</ext-link>, Jouf University, Saudi Arabia</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/141557/overview">Tauqeer Hussain Mallhi</ext-link>, Jouf University, Saudi Arabia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3162111/overview">Vlademir Cantarelli</ext-link>, Federal University of Health Sciences of Porto Alegre, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Shiori Kitaya, <email xlink:href="mailto:shiori.kitaya.b7@tohoku.ac.jp">shiori.kitaya.b7@tohoku.ac.jp</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1662544</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Kitaya, Kikuchi, Nomura, Nomura, Ikeda, Kanamori and Katori.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Kitaya, Kikuchi, Nomura, Nomura, Ikeda, Kanamori and Katori</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>
<sec>
<title>Introduction</title>
<p>
<italic>Haemophilus influenzae</italic> and <italic>Streptococcus pneumoniae</italic> are two of the major pathogens responsible for pediatric rhinosinusitis. Rising antimicrobial resistance (AMR) and pneumococcal serotype replacement have complicated treatment decisions. This study aimed to investigate bacterial distribution and AMR patterns in nasal discharge samples from children at a Japanese otolaryngology clinic.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a retrospective study at an otolaryngology clinic in Sendai, Japan, from February 2023 to March 2025. A total of 2009 nasal discharge specimens were analyzed. Bacterial identification and antimicrobial susceptibility testing were performed according to Clinical and Laboratory Standards Institute guidelines. <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic> were phenotypically classified and stratified by age (0-2, 3-5, and 6-13 years). Age-group comparisons were performed using Fisher&#x2019;s exact test with Holm correction.</p>
</sec>
<sec>
<title>Results</title>
<p>Pathogens were detected in 1862 samples (92.7%). The most frequently isolated organisms were <italic>Moraxella catarrhalis</italic> (30.9%), <italic>H. influenzae</italic> (23.0%), and <italic>S. pneumoniae</italic> (20.6%). Among the 697 <italic>H. influenzae</italic> isolates, 44.8% were ampicillin-resistant, and 31.3% of all isolates were &#x3b2;-lactamase-negative ampicillin-resistant (BLNAR) strains. Some BLNAR strains exhibited reduced susceptibility to amoxicillin&#x2013;clavulanic acid (MIC<sub>90</sub> = 8 &#x3bc;g/mL). Cefotaxime, cefditoren, and levofloxacin remained highly active. Among the 625 <italic>S. pneumoniae</italic> isolates, 66.6% were penicillin-susceptible, 31.0% were intermediate, and 2.4% were resistant; resistance to clarithromycin was observed in 84.3% of isolates. The prevalence of <italic>Staphylococcus aureus</italic> increased with age, with 25% of isolates in the 6-13-year group identified as methicillin-resistant.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>
<italic>H. influenzae</italic> and <italic>S. pneumoniae</italic> remain key pathogens in pediatric rhinosinusitis and exhibit high AMR rates. Age-specific trends, including increased methicillin-resistant <italic>S. aureus</italic> in older children, should guide empiric therapy. Ongoing AMR surveillance and culture-based management are essential.</p>
</sec>
</abstract>
<kwd-group>
<kwd>pediatric rhinosinusitis</kwd>
<kwd>antimicrobial resistance</kwd>
<kwd>
<italic>Haemophilus influenzae</italic>
</kwd>
<kwd>
<italic>Streptococcus pneumoniae</italic>
</kwd>
<kwd>
<italic>Staphylococcus aureus</italic>
</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="11"/>
<word-count count="6321"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Antibiotic Resistance and New Antimicrobial drugs</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Rhinosinusitis and related otorhinolaryngologic infections are common in both children and adults, often developing as bacterial complications of viral upper respiratory tract infections. The causative pathogens of rhinosinusitis differ between pediatric and adult populations. In children, <italic>Haemophilus influenzae</italic>, <italic>Streptococcus pneumoniae</italic>, and <italic>Moraxella catarrhalis</italic> are most frequently implicated (<xref ref-type="bibr" rid="B14">Sawada and Matsubara, 2021</xref>). Over the past two decades, the emergence and spread of antimicrobial resistance among otorhinolaryngologic pathogens has become a major public health concern. In Japan, the prevalence of penicillin-resistant <italic>S. pneumoniae</italic> (PRSP) and ampicillin-resistant <italic>H. influenzae</italic>&#x2014;particularly &#x3b2;-lactamase-negative ampicillin-resistant (BLNAR) strains&#x2014;increased significantly during the 2000s (<xref ref-type="bibr" rid="B19">Suzuki et&#xa0;al., 2020</xref>). To prevent severe pneumococcal infections, Japan introduced the 7-valent pneumococcal conjugate vaccine (PCV7) in April 2013, followed by the 13-valent vaccine (PCV13) in November of the same year. Although the prevalence of vaccine-type strains declined sharply, non-vaccine, multidrug-resistant serotypes such as 23A, 15A, and 35B have since emerged as dominant (<xref ref-type="bibr" rid="B8">Kawaguchiya et&#xa0;al., 2024</xref>). To address this, newer conjugate vaccines&#x2014;PCV15 (approved for children in June 2023) and PCV20 (approved in March 2024)&#x2014;have been introduced and are expected to enhance serotype coverage. In contrast, no widely used vaccine exists for non-typeable <italic>H. influenzae</italic>, making antimicrobial stewardship critical for managing resistance. National surveillance data show that the prevalence of BLNAR strains remains high, at approximately 40-50% (<xref ref-type="bibr" rid="B24">Yamada et&#xa0;al., 2020</xref>).</p>
<p>Thus, otorhinolaryngologic infections, particularly rhinosinusitis, represent an especially important disease group in children. Among them, acute otitis media (AOM) is one of the most common pediatric infections and often develops as a complication of viral upper respiratory tract infections. By school age, approximately 80-90% of children experience otitis media, with <italic>S. pneumoniae</italic>, non-typeable <italic>H. influenzae</italic>, and <italic>M. catarrhalis</italic> being the predominant causative pathogens. The pathogenesis of AOM shares several mechanisms with rhinosinusitis, most notably contiguous mucosal inflammation and Eustachian tube dysfunction. Furthermore, because the nasopharynx and middle ear are anatomically connected via the Eustachian tube and harbor overlapping bacterial pathogens, a strong clinical and microbiological association between the two diseases has been demonstrated (<xref ref-type="bibr" rid="B23">Xu et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B17">Silva et&#xa0;al., 2021</xref>).</p>
<p>In response, the 2024 revision of the Japanese Pediatric AOM Guidelines recommended high-dose amoxicillin as the first-line therapy, and the position of watchful waiting was reiterated as a strategy to reduce the selective pressure for antimicrobial resistance (<xref ref-type="bibr" rid="B22">The Japanese Society for Pediatric Otorhinolaryngology, 2024</xref>). Nevertheless, despite these vaccination and guideline-based interventions, up-to-date epidemiological data from routine clinical settings remain scarce.</p>
<p>Therefore, we conducted this study using nasal discharge culture results collected from an otolaryngology clinic in Sendai between 2022 and 2025 to clarify the distribution of bacterial species and recent trends in antimicrobial susceptibility in the context of new vaccine implementation and evolving clinical practice guidelines.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design and setting</title>
<p>We conducted a retrospective observational study using microbiological data from nasal discharge cultures and clinical information from patients treated at the Sendai sta. North Gate ENT. Clinic in Miyagi Prefecture, Japan. This clinic provides outpatient otolaryngologic care to patients of all ages. The study period spanned from February 2023 to March 2025. All nasal discharge specimens submitted for bacterial culture during this period were included in the analysis. These specimens were typically collected from patients presenting with symptoms of rhinosinusitis or persistent rhinorrhea suspected to be of bacterial origin. Patients who underwent fungal cultures only or viral testing only were excluded. Clinical information, including age and sex, was extracted from the patients&#x2019; medical records. When multiple specimens were collected from the same patient during the study period, each specimen was treated as an independent observational unit. Additionally, if the same bacterial species was repeatedly isolated from a single patient, each isolate was considered a separate episode if it was determined to represent a distinct infectious event, such as a recurrence. The primary outcomes of this study were the distribution of bacterial species isolated and the proportion of isolates exhibiting key antimicrobial resistance phenotypes.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Microbiological analysis</title>
<p>Nasal discharge specimens were submitted to the microbiology laboratory of BML Inc., a commercial facility located in Saitama Prefecture, Japan, where they were processed using standard bacterial culture techniques. Samples were inoculated onto appropriate media (e.g., blood agar, chocolate agar) and incubated under conditions suitable for both aerobic and facultative organisms. Bacterial identification was primarily performed using conventional methods, including colony morphology, hemolysis patterns, Gram staining, and biochemical testing. <italic>S. pneumoniae</italic> was identified based on &#x3b1;-hemolytic colonies, characteristic morphology, and optochin susceptibility. <italic>H. influenzae</italic> was identified by its colony appearance and its requirement for both X and V growth factors. <italic>Staphylococcus aureus</italic> was confirmed based on colony morphology and with automated identification systems such as the WalkAway<sup>&#xae;</sup> DXM1096 system (Beckman Coulter, Brea, CA, USA) and the VITEK<sup>&#xae;</sup> 2 XL (blue) system (bioM&#xe9;rieux, Marcy-l&#x2019;&#xc9;toile, France). When conventional or automated methods were insufficient, mass spectrometry&#x2013;based platforms such as the VITEK<sup>&#xae;</sup> MS system (bioM&#xe9;rieux) or MALDI Biotyper Sirius system (Bruker Daltonics, Bremen, Germany) were used for definitive identification. Isolates considered part of the normal commensal flora (e.g., coagulase-negative staphylococci, <italic>Corynebacterium</italic> spp.) were excluded as causative pathogens. When more than one potential pathogen was isolated from a specimen, each isolate was included in the frequency analysis.</p>
<p>Antimicrobial susceptibility testing was performed using the broth microdilution method with either the WalkAway<sup>&#xae;</sup> DXM1096 system (Beckman Coulter, Brea, CA, USA) or the VITEK<sup>&#xae;</sup> 2 XL (blue) system (bioM&#xe9;rieux, Marcy-l&#x2019;&#xc9;toile, France), in accordance with the Clinical and Laboratory Standards Institute (CLSI) guidelines (M100-S26 and 29th edition) (<xref ref-type="bibr" rid="B3">Clinical and Laboratory Standards Institute, 2019</xref>). Minimum inhibitory concentrations (MICs) and susceptibility breakpoints were determined for <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic>. For <italic>S. pneumoniae</italic>, the antimicrobial agents tested included penicillin G, amoxicillin&#x2013;clavulanic acid (2:1 ratio), cefotaxime, cefditoren, levofloxacin, clarithromycin, vancomycin, and meropenem. For <italic>H. influenzae</italic>, the agents tested were ampicillin, amoxicillin&#x2013;clavulanic acid (2:1 ratio), cefotaxime, cefditoren, levofloxacin, clarithromycin, and meropenem. <italic>S. pneumoniae</italic> isolates were categorized based on CLSI susceptibility breakpoints for oral penicillin V in non-meningitis respiratory infections as follows: susceptible (MIC &#x2264; 0.06 &#x3bc;g/mL), intermediate (MIC = 0.12-1 &#x3bc;g/mL), and resistant (MIC &#x2265; 2 &#x3bc;g/mL). In this study, isolates interpreted as intermediate or resistant were considered penicillin-nonsusceptible <italic>S. pneumoniae</italic>. <italic>H. influenzae</italic> isolates were classified into five categories according to CLSI criteria (<xref ref-type="bibr" rid="B3">Clinical and Laboratory Standards Institute, 2019</xref>): &#x3b2;-lactamase&#x2013;nonproducing ampicillin-susceptible (BLNAS; MIC of ampicillin &#x2264; 1 &#x3bc;g/mL), &#x3b2;-lactamase&#x2013;nonproducing ampicillin-intermediately resistant (low-BLNAR; MIC of ampicillin = 2 &#x3bc;g/mL), &#x3b2;-lactamase&#x2013;nonproducing ampicillin-resistant (BLNAR; MIC of ampicillin &#x2265; 4 &#x3bc;g/mL), &#x3b2;-lactamase&#x2013;producing ampicillin-resistant (BLPAR; MIC of  amoxicillin&#x2013;clavulanic acid &#x2264;4 mg/L), &#x3b2;-lactamase&#x2013;producing amoxicillin&#x2013;clavulanic acid&#x2013;resistant (BLPACR; MIC of amoxicillin&#x2013;clavulanic acid &#x2265;8 mg/L). &#x3b2;-lactamase production was confirmed using the nitrocefin test (Showa Chemical, Tokyo, Japan). <italic>S. aureus</italic> isolates were defined as methicillin-resistant <italic>S. aureus</italic> (MRSA) if they exhibited resistance to either oxacillin or cefoxitin.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analysis</title>
<p>The results were expressed as medians with interquartile ranges or as proportions relative to the total number of patients or isolates. Differences in the distribution of bacterial species among the three age groups (0-2, 3-5, and 6-13 years) were analyzed using Fisher&#x2019;s exact test for categorical variables. When significant differences were observed, pairwise comparisons between age groups were conducted using the Steel&#x2013;Dwass test. <italic>p</italic>-values were adjusted for multiple comparisons using the Holm method. All statistical analyses were performed using GraphPad Prism version 10 (GraphPad Software, San Diego, CA, USA).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Ethical considerations</title>
<p>This study was conducted in accordance with the principles of the Declaration of Helsinki and the Ethical Guidelines for Medical and Biological Research Involving Human Subjects issued by the Japanese government. The study protocol was reviewed and approved by the Institutional Review Board of Sen-en Rifu Hospital (Approval No. 20250408). Given the retrospective nature of the study and the use of de-identified culture data, the requirement for informed consent was waived by the Institutional Review Board.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patient and sample characteristics</title>
<p>Between February 2023 and March 2025, a total of 2009 nasal discharge specimens were collected. The demographic and clinical characteristics of patients who underwent nasal discharge culture are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The median age was 4 years (interquartile range: 2-6 years). Most patients were young children, with 32.6% aged 0-2 years, 35.2% aged 3-5 years, and 32.2% aged 6-13 years. There was a slight male predominance: 1140 males (56.7%) and 869 females (43.3%).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and clinical features of patients sampled for nasal discharge culture.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variable (n = 2009)</th>
<th valign="middle" align="center">Total, n (%)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="2" align="left">Age (years)</th>
</tr>
<tr>
<td valign="middle" align="left">Median (Interquartile range)</td>
<td valign="middle" align="center">4 (2-6)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Age category (years)</th>
</tr>
<tr>
<td valign="middle" align="left">0&#x2013;2</td>
<td valign="middle" align="center">655 (32.6)</td>
</tr>
<tr>
<td valign="middle" align="left">3&#x2013;5</td>
<td valign="middle" align="center">707 (35.2)</td>
</tr>
<tr>
<td valign="middle" align="left">6&#x2013;13</td>
<td valign="middle" align="center">647 (32.2)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="center">1140 (56.7)</td>
</tr>
<tr>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="center">869 (43.3)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Nasal discharge culture results</th>
</tr>
<tr>
<td valign="middle" align="left">Positive</td>
<td valign="middle" align="center">1862 (92.7)</td>
</tr>
<tr>
<td valign="middle" align="left">Negative</td>
<td valign="middle" align="center">147 (7.3)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as numbers (%) unless indicated otherwise.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Of the 2009 specimens, 1862 (92.7%) yielded one or more bacterial species with pathogenic potential, while 147 (7.3%) were either culture-negative or grew only normal nasal flora. In total, 3034 bacterial isolates were identified. The most frequently identified organism was <italic>M. catarrhalis</italic> (936 isolates, 30.9%), followed by <italic>H. influenzae</italic> (697 isolates, 23.0%) and <italic>S. pneumoniae</italic> (625 isolates, 20.6%). <italic>S. aureus</italic> accounted for 473 isolates (15.6%), other <italic>Moraxella</italic> species for 210 isolates (6.9%), and <italic>Streptococcus pyogenes</italic> for 64 isolates (2.1%). <italic>Pseudomonas aeruginosa</italic> was detected in 5 isolates (0.2%).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Antimicrobial susceptibility patterns of <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic>
</title>
<p>The antimicrobial susceptibility profiles of <italic>H. influenzae</italic> (n = 697) and <italic>S. pneumoniae</italic> (n = 625) are summarized in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Among <italic>H. influenzae</italic> isolates, 44.8% were classified as ampicillin-resistant, comprising 31.3% BLNAR, 12.5% BLPAR, and 1.0% BLPACR strains. Among BLNAR isolates, 29.4% were resistant to amoxicillin&#x2013;clavulanic acid (MIC<sub>90</sub> = 8 &#x3bc;g/mL). Cefotaxime and cefditoren remained highly effective, with over 90% of isolates susceptible regardless of resistance phenotype. Levofloxacin demonstrated activity against virtually all isolates, while clarithromycin non-susceptibility was more variable, observed in 17.4% of BLNAR, 21.8% of BLPAR, and 28.6% of BLPACR strains. Meropenem showed relatively potent activity against all isolates (MIC<sub>90</sub> &#x2264; 0.5 &#x3bc;g/mL). Among <italic>S. pneumoniae</italic> isolates, penicillin-susceptible strains (PSSP) accounted for 66.6%, penicillin-intermediate strains (PISP) for 31.0%, and PRSP for 2.4%. Almost all PSSP and PISP strains were fully susceptible to amoxicillin-clavulanate, cefotaxime, and cefditoren. However, among PRSP isolates, reduced susceptibility to cefditoren was observed (MIC<sub>90</sub> = 1 &#x3bc;g/mL; 33.3% intermediate). Notably, 84.3% of all <italic>S. pneumoniae</italic> isolates were resistant to clarithromycin, with resistance particularly high among PISP (97.0%) and PRSP (100%) strains. In contrast, levofloxacin and vancomycin retained high activity, with susceptibility rates exceeding 95%.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Antimicrobial susceptibility profiles of <italic>Haemophilus influenzae</italic> and <italic>Streptococcus pneumoniae</italic>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Organism/Antimicrobial agent</th>
<th valign="middle" align="center">Resistance class</th>
<th valign="middle" align="center">n (isolates)</th>
<th valign="middle" align="center">Susceptible</th>
<th valign="middle" align="center">Intermediate</th>
<th valign="middle" align="center">Resistant</th>
<th valign="middle" align="center">MIC<sub>50</sub>
</th>
<th valign="middle" align="center">MIC<sub>90</sub>
</th>
<th valign="middle" align="center">MIC range</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="9" align="left">
<italic>Haemophilus influenzae</italic>
</th>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#x2003;Ampicillin</td>
<td valign="middle" align="left">BLNAS</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">238 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.12-1</td>
</tr>
<tr>
<td valign="middle" align="left">low&#x2013;BLNAR</td>
<td valign="middle" align="center">147</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">147 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">2</td>
</tr>
<tr>
<td valign="middle" align="left">BLNAR</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">218 (100)</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">&#x2265;8</td>
<td valign="middle" align="center">4-&#x2265;8</td>
</tr>
<tr>
<td valign="middle" align="left">BLPAR</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">87 (100)</td>
<td valign="middle" align="center">&#x2265;8</td>
<td valign="middle" align="center">&#x2265;8</td>
<td valign="middle" align="center">&#x2265;8</td>
</tr>
<tr>
<td valign="middle" align="left">BLPACR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">7 (100)</td>
<td valign="middle" align="center">&#x2265;8</td>
<td valign="middle" align="center">&#x2265;8</td>
<td valign="middle" align="center">&#x2265;8</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">697</td>
<td valign="middle" align="center">238 (34.1)</td>
<td valign="middle" align="center">147 (21.1)</td>
<td valign="middle" align="center">312 (44.8)</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">&#x2265;8</td>
<td valign="middle" align="center">&#x2264;0.12-8</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#x2003;Amoxicillin&#x2013;clavulanic acid</td>
<td valign="middle" align="left">BLNAS</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">238 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;1</td>
<td valign="middle" align="center">&#x2264;1</td>
<td valign="middle" align="center">&#x2264;1-4</td>
</tr>
<tr>
<td valign="middle" align="left">low&#x2013;BLNAR</td>
<td valign="middle" align="center">147</td>
<td valign="middle" align="center">145 (98.6)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2 (1.4)</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">&#x2264;1-8</td>
</tr>
<tr>
<td valign="middle" align="left">BLNAR</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="center">154 (70.6)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">64 (29.4)</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">&#x2264;1-&#x2265;16</td>
</tr>
<tr>
<td valign="middle" align="left">BLPAR</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">87 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;1</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">&#x2264;1-4</td>
</tr>
<tr>
<td valign="middle" align="left">BLPACR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">7 (100)</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">8</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">697</td>
<td valign="middle" align="center">456 (65.4)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">241 (34.6)</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">&#x2264;1-&#x2265;16</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">
<italic>Haemophilus influenzae</italic>
</th>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#x2003;Cefotaxime</td>
<td valign="middle" align="left">BLNAS</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">238 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">low&#x2013;BLNAR</td>
<td valign="middle" align="center">147</td>
<td valign="middle" align="center">143 (97.3)</td>
<td valign="middle" align="center">4 (2.7)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.25-2</td>
</tr>
<tr>
<td valign="middle" align="left">BLNAR</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="center">199 (91.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">19 (8.7)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.25-2</td>
</tr>
<tr>
<td valign="middle" align="left">BLPAR</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">87 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">BLPACR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">7 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0.5-1</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">697</td>
<td valign="middle" align="center">674 (96.7)</td>
<td valign="middle" align="center">23 (3.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.25-2</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#x2003;Cefditoren</td>
<td valign="middle" align="left">BLNAS</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">238 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.03</td>
<td valign="middle" align="center">&#x2264;0.03</td>
<td valign="middle" align="center">&#x2264;0.03-0.25</td>
</tr>
<tr>
<td valign="middle" align="left">low&#x2013;BLNAR</td>
<td valign="middle" align="center">147</td>
<td valign="middle" align="center">147 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.12</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.03-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">BLNAR</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="center">218 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.03-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">BLPAR</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">87 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.03</td>
<td valign="middle" align="center">0.12</td>
<td valign="middle" align="center">&#x2264;0.03-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">BLPACR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">7 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.12-0.25</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">697</td>
<td valign="middle" align="center">697 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.12</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.03-0.5</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#x2003;Levofloxacin</td>
<td valign="middle" align="left">BLNAS</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">238 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">low&#x2013;BLNAR</td>
<td valign="middle" align="center">147</td>
<td valign="middle" align="center">147 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">BLNAR</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="center">216 (99.1)</td>
<td valign="middle" align="center">2 (0.9)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25-2</td>
</tr>
<tr>
<td valign="middle" align="left">BLPAR</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">87 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">BLPACR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">7 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">697</td>
<td valign="middle" align="center">695 (99.7)</td>
<td valign="middle" align="center">2 (0.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25-2</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#x2003;Clarithromycin</td>
<td valign="middle" align="left">BLNAS</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">207 (87.0)</td>
<td valign="middle" align="center">29 (12.2)</td>
<td valign="middle" align="center">2 (0.8)</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&#x2264;4-&#x2265;64</td>
</tr>
<tr>
<td valign="middle" align="left">low&#x2013;BLNAR</td>
<td valign="middle" align="center">147</td>
<td valign="middle" align="center">128 (87.1)</td>
<td valign="middle" align="center">18 (12.2)</td>
<td valign="middle" align="center">1 (0.7)</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&#x2264;4-32</td>
</tr>
<tr>
<td valign="middle" align="left">BLNAR</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="center">180 (82.6)</td>
<td valign="middle" align="center">38 (17.4)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&#x2264;4-16</td>
</tr>
<tr>
<td valign="middle" align="left">BLPAR</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">68 (78.2)</td>
<td valign="middle" align="center">15 (17.2)</td>
<td valign="middle" align="center">4 (4.6)</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&#x2264;4-&#x2265;64</td>
</tr>
<tr>
<td valign="middle" align="left">BLPACR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">5 (71.4)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2 (28.6)</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">&#x2265;64</td>
<td valign="middle" align="center">8-&#x2265;64</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">697</td>
<td valign="middle" align="center">587 (84.2)</td>
<td valign="middle" align="center">101 (14.5)</td>
<td valign="middle" align="center">9 (1.3)</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&#x2264;4-&#x2265;64</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#x2003;Meropenem</td>
<td valign="middle" align="left">BLNAS</td>
<td valign="middle" align="center">238</td>
<td valign="middle" align="center">238 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.06</td>
<td valign="middle" align="center">0.12</td>
<td valign="middle" align="center">&#x2264;0.06-0.25</td>
</tr>
<tr>
<td valign="middle" align="left">low&#x2013;BLNAR</td>
<td valign="middle" align="center">147</td>
<td valign="middle" align="center">145 (98.6)</td>
<td valign="middle" align="center">2 (1.4)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.12</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.06-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">BLNAR</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="center">178 (81.7)</td>
<td valign="middle" align="center">40 (18.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.06-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">BLPAR</td>
<td valign="middle" align="center">87</td>
<td valign="middle" align="center">87 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.06</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.06-0.25</td>
</tr>
<tr>
<td valign="middle" align="left">BLPACR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">5 (71.4)</td>
<td valign="middle" align="center">2 (28.6)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">0.25-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">697</td>
<td valign="middle" align="center">653 (93.7)</td>
<td valign="middle" align="center">44 (6.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.06</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.06-0.5</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">
<italic>Streptococcus pneumoniae</italic>
</th>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#x2003;Penicillin G</td>
<td valign="middle" align="left">PSSP</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">416 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.03</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">&#x2264;0.03-0.06</td>
</tr>
<tr>
<td valign="middle" align="left">PISP</td>
<td valign="middle" align="center">194</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">194 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0.12-1</td>
</tr>
<tr>
<td valign="middle" align="left">PRSP</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">15 (100)</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">2-4</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">625</td>
<td valign="middle" align="center">416 (66.6)</td>
<td valign="middle" align="center">194 (31.0)</td>
<td valign="middle" align="center">15 (2.4)</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.03-4</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#x2003;Amoxicillin&#x2013;clavulanic acid</td>
<td valign="middle" align="left">PSSP</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">416 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">&#x2264;0.25</td>
</tr>
<tr>
<td valign="middle" align="left">PISP</td>
<td valign="middle" align="center">194</td>
<td valign="middle" align="center">194 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.25-2</td>
</tr>
<tr>
<td valign="middle" align="left">PRSP</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">9 (60.0)</td>
<td valign="middle" align="center">6 (40.0)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1-4</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">625</td>
<td valign="middle" align="center">619 (99.0)</td>
<td valign="middle" align="center">6 (1.0)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.25-4</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#x2003;Cefotaxime</td>
<td valign="middle" align="left">PSSP</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">416 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.12</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.06-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">PISP</td>
<td valign="middle" align="center">194</td>
<td valign="middle" align="center">193 (99.5)</td>
<td valign="middle" align="center">1 (0.5)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.06-2</td>
</tr>
<tr>
<td valign="middle" align="left">PRSP</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">15 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">625</td>
<td valign="middle" align="center">624 (99.8)</td>
<td valign="middle" align="center">1 (0.2)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.06-2</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#x2003;Cefditoren</td>
<td valign="middle" align="left">PSSP</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">416 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.12</td>
<td valign="middle" align="center">&#x2264;0.12</td>
<td valign="middle" align="center">&#x2264;0.12-0.25</td>
</tr>
<tr>
<td valign="middle" align="left">PISP</td>
<td valign="middle" align="center">194</td>
<td valign="middle" align="center">194 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.12</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.12-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">PRSP</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">10 (66.7)</td>
<td valign="middle" align="center">5 (33.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">625</td>
<td valign="middle" align="center">620 (99.2)</td>
<td valign="middle" align="center">5 (0.8)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.12</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.12-1</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#x2003;Levofloxacin</td>
<td valign="middle" align="left">PSSP</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">414 (99.5)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2 (0.5)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.5-&#x2265;8</td>
</tr>
<tr>
<td valign="middle" align="left">PISP</td>
<td valign="middle" align="center">194</td>
<td valign="middle" align="center">185 (95.4)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">9 (4.6)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.5-&#x2265;8</td>
</tr>
<tr>
<td valign="middle" align="left">PRSP</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">15 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.5-1</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">625</td>
<td valign="middle" align="center">614 (98.2)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">11 (1.8)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">&#x2264;0.5-&#x2265;8</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#x2003;Clarithromycin</td>
<td valign="middle" align="left">PSSP</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">86 (20.7)</td>
<td valign="middle" align="center">6 (1.4)</td>
<td valign="middle" align="center">324 (77.9)</td>
<td valign="middle" align="center">&#x2265;2</td>
<td valign="middle" align="center">&#x2265;2</td>
<td valign="middle" align="center">&#x2264;0.12-&#x2265;2</td>
</tr>
<tr>
<td valign="middle" align="left">PISP</td>
<td valign="middle" align="center">194</td>
<td valign="middle" align="center">3 (1.5)</td>
<td valign="middle" align="center">3 (1.5)</td>
<td valign="middle" align="center">188 (97.0)</td>
<td valign="middle" align="center">&#x2265;2</td>
<td valign="middle" align="center">&#x2265;2</td>
<td valign="middle" align="center">&#x2264;0.12-&#x2265;2</td>
</tr>
<tr>
<td valign="middle" align="left">PRSP</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">15 (100)</td>
<td valign="middle" align="center">&#x2265;2</td>
<td valign="middle" align="center">&#x2265;2</td>
<td valign="middle" align="center">&#x2265;2</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">625</td>
<td valign="middle" align="center">89 (14.2)</td>
<td valign="middle" align="center">9 (1.5)</td>
<td valign="middle" align="center">527 (84.3)</td>
<td valign="middle" align="center">&#x2265;2</td>
<td valign="middle" align="center">&#x2265;2</td>
<td valign="middle" align="center">&#x2264;0.12-&#x2265;2</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#x2003;Vancomycin</td>
<td valign="middle" align="left">PSSP</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">416 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">PISP</td>
<td valign="middle" align="center">194</td>
<td valign="middle" align="center">194 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.25-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">PRSP</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">15 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.25-1</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">625</td>
<td valign="middle" align="center">625 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.25-1</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#x2003;Meropenem</td>
<td valign="middle" align="left">PSSP</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">416 (100)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.12</td>
<td valign="middle" align="center">&#x2264;0.12</td>
<td valign="middle" align="center">&#x2264;0.12</td>
</tr>
<tr>
<td valign="middle" align="left">PISP</td>
<td valign="middle" align="center">194</td>
<td valign="middle" align="center">156 (80.4)</td>
<td valign="middle" align="center">38 (19.6)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">&#x2264;0.12-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">PRSP</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">2 (13.3)</td>
<td valign="middle" align="center">13 (86.7)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">0.25-0.5</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="center">625</td>
<td valign="middle" align="center">574 (91.8)</td>
<td valign="middle" align="center">51 (8.2)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2264;0.12</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">&#x2264;0.12-0.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MIC<sub>50</sub>, MIC that inhibited growth of 50% of the isolates. MIC<sub>90</sub>, MIC that inhibited growth of 90% of the isolates. MIC values are in mg/L.</p>
</fn>
<fn>
<p>BLNAR, &#x3b2;-lactamase-negative ampicillin-resistant; BLNAS, &#x3b2;-lactamase-negative ampicillin-susceptible; BLPAR, &#x3b2;-lactamase-producing ampicillin-resistant; BLPACR, &#x3b2;-lactamase&#x2013;producing  amoxicillin&#x2013;clavulanic acid&#x2013;resistant; MIC, minimal inhibitory concentration; PISP, penicillin-intermediate <italic>Streptococcus pneumoniae</italic>; PRSP, penicillin-resistant <italic>S. pneumoniae</italic>; PSSP, penicillin-susceptible <italic>S. pneumoniae</italic>.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Age-specific distribution of bacterial isolates and antimicrobial susceptibility of <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic>
</title>
<p>The antimicrobial susceptibility profiles of <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic> varied significantly by age group (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Among the 625 <italic>S. pneumoniae</italic> isolates, PSSP accounted for 54.8% in the 0-2-year age group, 69.8% in the 3-5-year group, and 80.3% in the 6-13-year group, showing a significant increasing trend with age (<italic>p</italic> &lt; 0.0001). After multiple comparisons correction, significant differences were observed between the 3-5 and 6-13-year groups (<italic>p</italic> = 0.0002), and between the 0-2 and 6-13-year groups (<italic>p</italic> &lt; 0.0001). Conversely, PISP were more frequently detected in younger children, accounting for 41.5% in the 0-2-year group, 28.5% in the 3-5-year group, and 18.4% in the 6-13-year group (<italic>p</italic> &lt; 0.0001). Adjusted <italic>p</italic>-values confirmed significant differences between the 3-5 and 6-13-year groups (<italic>p</italic> = 0.013), as well as between the 0-2 and 6-13-year groups (<italic>p</italic> = 0.0007). PRSP were infrequently detected across all age groups. In contrast, no significant age-related differences were observed in the antimicrobial susceptibility categories of <italic>H. influenzae</italic>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Age distribution of <italic>Haemophilus influenzae</italic> and <italic>Streptococcus pneumoniae</italic> Isolates by antimicrobial susceptibility classification.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="center">Bacterial species</th>
<th valign="middle" rowspan="3" align="center">0&#x2013;2 y</th>
<th valign="middle" rowspan="3" align="center">3&#x2013;5 y</th>
<th valign="middle" rowspan="3" align="center">6&#x2013;13 y</th>
<th valign="middle" rowspan="3" align="center">All ages</th>
<th valign="middle" rowspan="3" align="center">
<italic>p</italic>-value</th>
<th valign="middle" colspan="3" align="center">Corrected <italic>p</italic>-value</th>
</tr>
<tr>
<th valign="middle" rowspan="2" align="center">0&#x2013;2 y <italic>vs</italic>. 3&#x2013;5 y</th>
<th valign="middle" rowspan="2" align="center">3&#x2013;5 y <italic>vs</italic>. 6&#x2013;13 y</th>
<th valign="middle" rowspan="2" align="center">0&#x2013;2 y <italic>vs</italic>. 6-13 y</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="9" align="left">
<italic>Haemophilus influenzae</italic>
</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BLNAS</td>
<td valign="middle" align="center">78 (32.8)</td>
<td valign="middle" align="center">105 (36.1)</td>
<td valign="middle" align="center">55 (32.7)</td>
<td valign="middle" align="center">238 (34.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;low&#x2013;BLNAR</td>
<td valign="middle" align="center">54 (22.7)</td>
<td valign="middle" align="center">64 (22.0)</td>
<td valign="middle" align="center">29 (17.3)</td>
<td valign="middle" align="center">147 (21.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BLNAR</td>
<td valign="middle" align="center">74 (31.1)</td>
<td valign="middle" align="center">86 (29.6)</td>
<td valign="middle" align="center">58 (34.5)</td>
<td valign="middle" align="center">218 (31.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BLPAR</td>
<td valign="middle" align="center">30 (12.6)</td>
<td valign="middle" align="center">33 (11.3)</td>
<td valign="middle" align="center">24 (14.3)</td>
<td valign="middle" align="center">87 (12.5)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BLPACR</td>
<td valign="middle" align="center">2 (0.8)</td>
<td valign="middle" align="center">3 (1.0)</td>
<td valign="middle" align="center">2 (1.2)</td>
<td valign="middle" align="center">7 (1.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">
<italic>Streptococcus pneumoniae</italic>
</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PSSP</td>
<td valign="middle" align="center">132 (54.8)</td>
<td valign="middle" align="center">162 (69.8)</td>
<td valign="middle" align="center">122 (80.3)</td>
<td valign="middle" align="center">416 (66.6)</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.0002</td>
<td valign="middle" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PISP</td>
<td valign="middle" align="center">100 (41.5)</td>
<td valign="middle" align="center">66 (28.5)</td>
<td valign="middle" align="center">28 (18.4)</td>
<td valign="middle" align="center">194 (31.0)</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.013</td>
<td valign="middle" align="center">0.0007</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PRSP</td>
<td valign="middle" align="center">9 (3.7)</td>
<td valign="middle" align="center">4 (1.7)</td>
<td valign="middle" align="center">2 (1.3)</td>
<td valign="middle" align="center">15 (2.4)</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as numbers (%) unless indicated otherwise.</p>
</fn>
<fn>
<p>BLNAR, &#x3b2;-lactamase-negative ampicillin-resistant; BLNAS, &#x3b2;-lactamase-negative ampicillin-susceptible; BLPAR, &#x3b2;-lactamase-producing ampicillin-resistant; BLPACR, &#x3b2;-lactamase&#x2013;producing  amoxicillin&#x2013;clavulanic acid&#x2013;resistant; PISP, penicillin-intermediate <italic>Streptococcus pneumoniae</italic>; PRSP, penicillin-resistant <italic>S. pneumoniae</italic>; PSSP, penicillin-susceptible <italic>S. pneumoniae</italic>.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Age-specific distribution of bacterial isolates</title>
<p>As shown in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, the distribution of bacterial species varied markedly by patient age group. <italic>M. catarrhalis</italic> was the most frequently isolated species overall, with particularly high prevalence among younger children. Its detection rate decreased significantly with age: 38.0% in the 0-2-year group, 31.0% in the 3-5-year group, and 21.7% in the 6-13-year group (<italic>p</italic> &lt; 0.0001). <italic>Post hoc</italic> analysis with correction for multiple comparisons revealed significant differences between the 3-5 and 6-13-year groups, as well as between the 0-2 and 6-13-year groups (both corrected <italic>p</italic> &lt; 0.0001). <italic>H. influenzae</italic> was the second most frequently detected species, with detection rates of 22.6%, 25.6%, and 19.9% in the 0-2, 3-5, and 6-13-year groups, respectively. Although a decreasing trend with age was observed, the overall difference among groups was statistically significant (<italic>p</italic> = 0.005). However, no significant differences were found between any of the groups after correction. <italic>S. pneumoniae</italic> showed a similar trend, with detection rates of 22.9% in the 0-2-year group, 20.4% in the 3-5-year group, and 18.0% in the 6-13-year group; however, these differences were not statistically significant. In contrast, <italic>S. aureus</italic> showed the opposite trend, with detection rates increasing with age: 8.3% in the 0-2-year group, 13.4% in the 3-5-year group, and 27.6% in the 6-13-year group. These differences were statistically significant (<italic>p</italic> &lt; 0.0001), and <italic>post hoc</italic> comparisons revealed a significant difference between the 0-2 and 6-13-year groups (corrected <italic>p</italic> &lt; 0.0001). <italic>S. pyogenes</italic> was infrequently detected but showed a slight age-related increase, with rates of 0.6% in the 0&#x2013;2-year group, 2.6% in the 3&#x2013;5-year group, and 3.3% in the 6&#x2013;13-year group. The overall difference among groups was statistically significant (<italic>p</italic> = 0.0003), with a significant difference observed between the 0-2 and 3-5-year groups (corrected <italic>p</italic> = 0.032).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Bacterial Isolates by age group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Bacterial species</th>
<th valign="middle" rowspan="2" align="left">0&#x2013;2 y (n = 1054)</th>
<th valign="middle" rowspan="2" align="left">3&#x2013;5 y (n = 1136)</th>
<th valign="middle" rowspan="2" align="left">6&#x2013;13 y (n = 844)</th>
<th valign="middle" rowspan="2" align="left">Total (n = 3034)</th>
<th valign="middle" rowspan="2" align="left">
<italic>p</italic>-value</th>
<th valign="middle" colspan="3" align="left">Corrected <italic>p</italic>-value</th>
</tr>
<tr>
<th valign="middle" align="left">0&#x2013;2 y <italic>vs</italic>. 3&#x2013;5 y</th>
<th valign="middle" align="left">3&#x2013;5 y <italic>vs</italic>. 6&#x2013;13 y</th>
<th valign="middle" align="left">0&#x2013;2 y <italic>vs</italic>.<break/>6-13 y</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>Moraxella catarrhalis</italic>
</td>
<td valign="middle" align="center">401 (38.0)</td>
<td valign="middle" align="center">352 (31.0)</td>
<td valign="middle" align="center">183 (21.7)</td>
<td valign="middle" align="center">936 (30.9)</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Haemophilus influenzae</italic>
</td>
<td valign="middle" align="center">238 (22.6)</td>
<td valign="middle" align="center">291 (25.6)</td>
<td valign="middle" align="center">168 (19.9)</td>
<td valign="middle" align="center">697 (23.0)</td>
<td valign="middle" align="center">0.005</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Streptococcus pneumoniae</italic>
</td>
<td valign="middle" align="center">241 (22.9)</td>
<td valign="middle" align="center">232 (20.4)</td>
<td valign="middle" align="center">152 (18.0)</td>
<td valign="middle" align="center">625 (20.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Staphylococcus aureus</italic>
</td>
<td valign="middle" align="center">88 (8.3)</td>
<td valign="middle" align="center">152 (13.4)</td>
<td valign="middle" align="center">233 (27.6)</td>
<td valign="middle" align="center">473 (15.6)</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Moraxella</italic> spp.</td>
<td valign="middle" align="center">72 (6.8)</td>
<td valign="middle" align="center">74 (6.5)</td>
<td valign="middle" align="center">64 (7.6)</td>
<td valign="middle" align="center">210 (6.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Streptococcus pyogenes</italic>
</td>
<td valign="middle" align="center">6 (0.6)</td>
<td valign="middle" align="center">30 (2.6)</td>
<td valign="middle" align="center">28 (3.3)</td>
<td valign="middle" align="center">64 (2.1)</td>
<td valign="middle" align="center">0.0003</td>
<td valign="middle" align="center">0.032</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Pseudomonas aeruginosa</italic>
</td>
<td valign="middle" align="center">2 (0.2)</td>
<td valign="middle" align="center">2 (0.2)</td>
<td valign="middle" align="center">1 (0.1)</td>
<td valign="middle" align="center">5 (0.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">others</td>
<td valign="middle" align="center">6 (0.6)</td>
<td valign="middle" align="center">3 (0.3)</td>
<td valign="middle" align="center">15 (1.8)</td>
<td valign="middle" align="center">24 (0.8)</td>
<td valign="middle" align="center">0.018</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">0.021</td>
<td valign="middle" align="center">
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as numbers (%) unless indicated otherwise.</p>
</fn>
<fn>
<p>The category &#x201c;others&#x201d; included a variety of less commonly isolated organisms such as &#x3b2;-hemolytic <italic>Streptococcus</italic> group G (n = 3), <italic>Acinetobacter</italic> spp. (n = 3), <italic>Streptococcus agalactiae</italic> (n = 3), <italic>Pseudomonas</italic> spp. (n = 2), <italic>Bacillus</italic> spp. (n = 1), <italic>Citrobacter freundii</italic> (n = 1), <italic>Klebsiella pneumoniae</italic> (n = 1), and <italic>Stenotrophomonas maltophilia</italic> (n = 1). Although individually infrequent, these organisms were included in the &#x201c;others&#x201d; category due to their potential clinical relevance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Patient background and specimen characteristics</title>
<p>This study analyzed 2009 nasal discharge specimens collected at otorhinolaryngology outpatient clinics across Japan between 2023 and 2025. Consistent with the epidemiological trends of otorhinolaryngologic infections, the majority of patients were children aged 5 years or younger (0-2 years: 32.6%; 3-5 years: 35.2%; 6-13 years: 32.2%). The bacterial culture positivity rate was high, at 92.7%, indicating that specimens were appropriately collected from patients with suspected bacterial infections.</p>
<p>The most frequently isolated pathogens were <italic>M. catarrhalis</italic>, <italic>H. influenzae</italic>, and <italic>S. pneumoniae</italic>, which together accounted for 74.5% of all isolates. This distribution aligns with previous studies conducted in pediatric populations in Japan. For example, one earlier report found that <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic> were detected in approximately 45% and 32% of pediatric acute maxillary sinusitis cases, respectively (<xref ref-type="bibr" rid="B14">Sawada and Matsubara, 2021</xref>), which is generally consistent with the detection rates observed in the present study. Similar bacterial profiles have also been reported in other studies of AOM and rhinosinusitis among Japanese children (<xref ref-type="bibr" rid="B19">Suzuki et&#xa0;al., 2020</xref>).</p>
<p>In the present study, the proportion of <italic>M. catarrhalis</italic> isolates was higher than that reported in previous studies. Several factors may account for this finding. First, the elevated detection rate may reflect the characteristics of the study population. This investigation was conducted in otolaryngology outpatient clinics and included children with relatively mild upper respiratory symptoms. In contrast, many prior studies focused on hospitalized patients or those with more severe infections (<xref ref-type="bibr" rid="B7">Hultman Dennison et&#xa0;al., 2019</xref>). In such cases, more invasive pathogens such as <italic>S. pneumoniae</italic> and <italic>H. influenzae</italic> tend to predominate, whereas in milder, community-based cases, colonizing organisms like <italic>M. catarrhalis</italic> may be more frequently detected. Second, the use of nasal discharge specimens may have contributed to the higher isolation rate of <italic>M. catarrhalis</italic>. This organism is a well-known colonizer of the upper respiratory tract and is more frequently identified in nasal secretions than in samples such as middle ear fluid or sinus aspirates (<xref ref-type="bibr" rid="B4">Conway et&#xa0;al., 2023</xref>). Thus, some of the <italic>M. catarrhalis</italic> isolates identified in this study may represent colonization rather than true pathogenic involvement in sinusitis. Nonetheless, <italic>M. catarrhalis</italic> is also recognized as a potential pathogen in pediatric rhinosinusitis, and clinical interpretation should take into account the patient&#x2019;s symptoms and the severity of illness when evaluating its significance.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Antimicrobial susceptibility of <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic>
</title>
<p>One of the major concerns in this study was the high prevalence of antimicrobial resistance among community-acquired isolates. Among <italic>S. pneumoniae</italic> isolates, PISP accounted for approximately 31.0%, and PRSP for 2.4%. Resistance to clarithromycin was also high at 84.3% overall, with particularly elevated rates among penicillin-non-susceptible strains. These findings are largely consistent with previous nationwide multicenter studies in Japan, which reported that approximately 49.9% of pneumococcal strains from children were penicillin-non-susceptible and over 80% were resistant to macrolides (<xref ref-type="bibr" rid="B8">Kawaguchiya et&#xa0;al., 2024</xref>). This resistance trend is likely attributable to the clonal expansion of non-PCV13 serotypes such as 15A, 23A, and 35B, as supported by multiple surveillance studies (<xref ref-type="bibr" rid="B9">Kawaguchiya et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B15">Schellenberg et&#xa0;al., 2025</xref>). Although serotyping was not performed in this study, based on the timing of sample collection and observed resistance patterns, these non-vaccine serotypes were likely predominant. The introduction of PCV15 in 2023 and PCV20 in 2024 is expected to alter the serotype distribution and antimicrobial resistance patterns of <italic>S. pneumoniae</italic>. However, serotypes 15A and 23A, which are associated with multidrug-resistant community-acquired infections, are not included in PCV20, and infections caused by these serotypes are expected to persist. Similar trends involving emerging serotypes not covered by existing vaccines have also been reported in Western countries (<xref ref-type="bibr" rid="B6">Hoshino et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B16">Sheppard et&#xa0;al., 2016</xref>), suggesting a shared global challenge. Regarding <italic>H. influenzae</italic>, 44.8% of isolates were resistant to ampicillin, with 31.3% classified as BLNAR, 12.5% as BLPAR, and 1.0% as BLPACR. This distribution is generally consistent with domestic reports from the early 2010s (<xref ref-type="bibr" rid="B1">Barber&#xe1;n et&#xa0;al., 2012</xref>). Although the predominance of BLNAR strains has shown a slight improving trend, it still persists, and given the absence of a vaccine targeting non-typeable <italic>H. influenzae</italic>, appropriate antimicrobial stewardship remains the only effective strategy for control.</p>
<p>The MIC data in this study served as a key indicator for characterizing phenotypic resistance. For <italic>S. pneumoniae</italic>, the MIC<sub>50</sub> and MIC<sub>90</sub> for penicillin G were 0.06 &#x3bc;g/mL and 1 &#x3bc;g/mL, respectively, with PRSP strains exhibiting MICs exceeding 2 &#x3bc;g/mL. Cefotaxime and cefditoren were highly effective, with MIC<sub>90</sub> values of 0.5 &#x3bc;g/mL and 0.25 &#x3bc;g/mL, respectively. However, PRSP strains demonstrated reduced susceptibility to cefditoren (MIC<sub>90</sub> = 1 &#x3bc;g/mL), consistent with previous reports (<xref ref-type="bibr" rid="B2">Brook et&#xa0;al., 1994</xref>). For macrolides, the MIC<sub>90</sub> for clarithromycin exceeded 2 &#x3bc;g/mL, indicating the presence of highly resistant strains, in alignment with nationwide surveillance data (<xref ref-type="bibr" rid="B8">Kawaguchiya et&#xa0;al., 2024</xref>). In contrast, levofloxacin and vancomycin exhibited MICs well below clinical breakpoints, supporting their potential utility in refractory cases, as highlighted in earlier studies (<xref ref-type="bibr" rid="B12">Lambert et&#xa0;al., 2025</xref>). For <italic>H. influenzae</italic>, the MIC<sub>50</sub> and MIC<sub>90</sub> for ampicillin were 2 &#x3bc;g/mL and &#x2265;8 &#x3bc;g/mL, respectively, reflecting the high prevalence of BLNAR and BLPAR strains. Elevated MICs for amoxicillin&#x2013;clavulanic acid were also observed among BLNAR isolates (MIC<sub>90</sub> = 8 &#x3bc;g/mL). In contrast, third-generation cephalosporins such as cefotaxime and cefditoren maintained favorable activity, with MIC<sub>90</sub> values of 1 &#x3bc;g/mL and 0.25 &#x3bc;g/mL, respectively. Clarithromycin MICs reached &#x2265;64 mg/mL in some isolates, indicating limited efficacy of macrolides. Although meropenem showed a noticeable proportion of intermediate isolates among low-BLNAR, BLNAR, and BLPACR strains, there was no marked increase in MIC values (MIC<sub>90</sub> 0.25 mg/mL), supporting its role as a reliable therapeutic option in complicated or resistant cases. These MIC distributions corroborate observed phenotypic resistance patterns and underscore the clinical importance of selecting antimicrobials based on <italic>in vitro</italic> susceptibility, particularly in regions such as Japan, where resistant pathogens are highly prevalent.</p>
<p>Notably, compared with earlier reports from the 2010s, the proportion of BLNAR strains, while still high, appears to have declined slightly. For example, a study conducted between 2013 and 2016 reported that BLNAR strains accounted for over 50% of pediatric isolates, whereas the present study suggests a modest reduction. This shift may reflect the sustained impact of improved antimicrobial stewardship and reduced selective pressure following the 2013 revision of the pediatric AOM guidelines. Moreover, the 2024 guideline revision recommends high-dose amoxicillin and careful observation for mild cases, which may further influence future resistance trends (<xref ref-type="bibr" rid="B22">The Japanese Society for Pediatric Otorhinolaryngology, 2024</xref>). Indeed, countries such as the Netherlands and Sweden have reported decreased resistance rates following similar changes in antibiotic use policies (<xref ref-type="bibr" rid="B20">Takeuchi et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B5">Eriksen et&#xa0;al., 2021</xref>), and comparable benefits may also be anticipated in Japan.</p>
<p>In this study, the overall susceptibility of <italic>S. pneumoniae</italic> and <italic>H. influenzae</italic> to levofloxacin was not exceptionally high, with MIC<sub>90</sub> values of 1 &#x3bc;g/mL and &#x2264;0.25 &#x3bc;g/mL, respectively. However, a small number of isolates exhibited elevated MICs, raising concerns about the potential emergence of resistance with increasing pediatric use of fluoroquinolones. Since 2010, tosufloxacin has been approved as an oral fluoroquinolone for children in Japan and has been used in limited cases (<xref ref-type="bibr" rid="B21">Takeuchi et&#xa0;al., 2021</xref>). Although quinolone resistance among respiratory pathogens remains uncommon, <italic>H. influenzae</italic> strains harboring mutations in the <italic>gyrA</italic> and <italic>parC</italic> genes have been reported, indicating early warning signs of emerging resistance (<xref ref-type="bibr" rid="B11">Kov&#xe1;cs et&#xa0;al., 2021</xref>). Furthermore, between 2023 and 2024, Japan experienced supply shortages of key &#x3b2;-lactam antibiotics such as amoxicillin and cefdinir, temporarily limiting access to first-line agents. As a result, increased use of fluoroquinolones was reported in some clinical settings, potentially heightening selective pressure for resistance. While fluoroquinolones remain clinically effective at present, their therapeutic margin is narrow, underscoring the need for continued surveillance. From an antimicrobial stewardship perspective, the use of fluoroquinolones in children should be restricted to specific indications&#x2014;such as &#x3b2;-lactam allergy or infections caused by treatment-refractory pathogens&#x2014;in accordance with current pediatric infectious disease guidelines (<xref ref-type="bibr" rid="B22">The Japanese Society for Pediatric Otorhinolaryngology, 2024</xref>).</p>
<p>It is also necessary to discuss the appropriateness of macrolide monotherapy in pediatric sinusitis. Although macrolides have historically been used as empirical therapy, their clinical efficacy against the major causative pathogens of sinusitis is limited. <italic>S. pneumoniae</italic>, one of the principal pathogens, frequently exhibits macrolide resistance, and recent surveillance data from Japan have reported resistance rates exceeding 80% (<xref ref-type="bibr" rid="B13">Nagai et&#xa0;al., 2014</xref>). Moreover, macrolides generally exert bacteriostatic rather than bactericidal activity, which may be insufficient for pathogen eradication in infections with a high bacterial burden. For these reasons, both international and domestic guidelines recommend &#x3b2;-lactam antibiotics as the first-line therapy, reserving macrolides only for patients with severe &#x3b2;-lactam allergy. Therefore, macrolide monotherapy should be avoided as an empirical treatment for pediatric sinusitis.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Age-specific distribution of bacteria</title>
<p>Age-stratified analysis revealed clear differences in the distribution of bacterial species. <italic>M. catarrhalis</italic>, <italic>H. influenzae</italic>, and <italic>S. pneumoniae</italic> were predominantly detected in children aged &#x2264;5 years, reaffirming their roles as major pathogens in pediatric rhinosinusitis. In contrast, the detection frequency of <italic>S. aureus</italic> increased with age, reaching 27.6% in the 6&#x2013;13-year age group. This trend may be associated with factors such as a higher prevalence of chronic rhinosinusitis during adolescence and age-related changes in the nasal microbiota (<xref ref-type="bibr" rid="B10">Kishita et&#xa0;al., 2023</xref>). Additionally, 22% of the <italic>S. aureus</italic> isolates were identified as MRSA, most of which are presumed to be community-acquired strains. MRSA remains a clinically significant pathogen in otorhinolaryngology, and national surveillance data have consistently reported its involvement in community-acquired infections (<xref ref-type="bibr" rid="B19">Suzuki et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B18">Silva-Costa et&#xa0;al., 2024</xref>). Furthermore, MRSA involvement in refractory rhinosinusitis among both children and adults is reportedly increasing (<xref ref-type="bibr" rid="B12">Lambert et&#xa0;al., 2025</xref>). In such difficult-to-treat cases, culture-based diagnosis and susceptibility-guided antimicrobial therapy are essential for effective management.</p>
<p>The study period coincided with the post&#x2013; coronavirus disease 2019 pandemic era, during which mask-wearing and the suppression of respiratory viral infections may have temporarily influenced the dynamics of bacterial infections. Indeed, an increase in outpatient visits and nasal discharge cultures was observed after the pandemic, possibly reflecting a return to typical seasonal patterns of respiratory infections. A similar &#x201c;post-pandemic rebound&#x201d; in bacterial infections following the resurgence of viral illnesses has also been reported in European pediatric respiratory surveillance studies (<xref ref-type="bibr" rid="B17">Silva et&#xa0;al., 2021</xref>). Furthermore, the increased detection rate of MRSA in adolescents may be related to cumulative antibiotic exposure and alterations in nasal flora associated with changes in hygiene practices. These age-related differences in pathogen distribution provide important insights for empirical antimicrobial selection. In particular, in older children or in cases of recurrent or treatment-resistant rhinosinusitis, MRSA should be considered, and individualized treatment based on culture and susceptibility testing is recommended if &#x3b2;-lactam therapy fails. To support and refine such treatment strategies, continued region-specific microbiological surveillance is critically important.</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Limitations and future directions</title>
<p>This study demonstrated that <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic> remain the predominant pathogens in pediatric chronic rhinosinusitis, while the clinical significance of <italic>S. aureus</italic>, particularly MRSA, is increasing in older children. Given the high resistance rates of <italic>S. pneumoniae</italic> to penicillin and macrolides, empirical treatment with macrolide monotherapy is not recommended. In contrast, amoxicillin&#x2013;clavulanic acid remains a reasonable treatment option due to its effectiveness against <italic>H. influenzae</italic>, <italic>M. catarrhalis</italic>, and many strains of <italic>S. pneumoniae</italic>. Furthermore, in older children and in cases of recurrent or refractory rhinosinusitis, the potential involvement of <italic>S. aureus</italic>&#x2014;especially MRSA&#x2014;should be taken into consideration.</p>
<p>The limitations of this study include its single-center design, the absence of serotyping or genotyping, and the lack of clinical differentiation between acute and chronic cases. In addition, the absence of data on prior antibiotic exposure&#x2014;which may represent a potential confounding factor for resistance rates&#x2014;the lower specificity of nasal discharge cultures compared with sinus aspirate cultures in reflecting true infection, and the lack of information on adherence to treatment guidelines should also be acknowledged as limitations of this study. Nevertheless, the findings are consistent with existing national surveillance data and are considered to have a reasonable degree of generalizability. Looking ahead, multicenter molecular epidemiological studies are needed to evaluate the impact of the introduction of PCV15 and PCV20, as well as adherence to pediatric clinical guidelines, on trends in antimicrobial resistance. In addition, a comprehensive assessment of host factors, underlying medical conditions, and vaccination history will be essential for further advancing clinical understanding and management.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusion</title>
<p>This study provides timely and clinically relevant data on the microbiological profile of pediatric acute and chronic rhinosinusitis during a transitional period marked by the introduction of new vaccines and revisions to antibiotic prescribing guidelines. Notably, the predominance of <italic>H. influenzae</italic> and <italic>S. pneumoniae</italic> in young children, along with the increasing clinical relevance of <italic>S. aureus</italic> in older children, offers practical insights for age-specific empirical therapy. Furthermore, the high prevalence of penicillin- and macrolide-resistant <italic>S. pneumoniae</italic>, as well as persistent ampicillin resistance in <italic>H. influenzae</italic>, highlights the importance of appropriate antibiotic use. Clinically, these findings support rational antibiotic selection in pediatric otorhinolaryngologic care, advocate for culture-based management in recurrent or refractory cases, and emphasize the need to consider MRSA in adolescents and cases of chronic rhinosinusitis. Ongoing microbiological surveillance remains essential for tracking resistance trends and guiding regionally appropriate treatment strategies.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Review Board of Sen&#x2212;en Rifu Hospital (Approval No. 20250408). The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because written informed consent was waived due to the retrospective nature of the study and use of de&#x2212;identified data.</p>
</sec>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>SK: Investigation, Conceptualization, Data curation, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Formal analysis, Methodology. TK: Supervision, Conceptualization, Data curation, Writing &#x2013; review &amp; editing. KN: Writing &#x2013; review &amp; editing. YN: Writing &#x2013; review &amp; editing. RI: Formal analysis, Software, Writing &#x2013; review &amp; editing. HK: Writing &#x2013; review &amp; editing. YK: Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank the clinical staff of Sendai sta. North Gate ENT Clinic for their cooperation in specimen collection and BML Inc. for help with microbiological testing.</p>
</ack>
<sec id="s11" 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="s12" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s13" 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>
<ref-list>
<title>References</title>
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