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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">89</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:CCBBD2E1-BDAF-5702-AE4B-0E4910A4C7D6</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Pharmacia</journal-title>
        <abbrev-journal-title xml:lang="en">PHAR</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0428-0296</issn>
      <issn pub-type="epub">2603-557X</issn>
      <publisher>
        <publisher-name>Bulgarian Pharmaceutical Scientific Society</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/pharmacia.73.e203025</article-id>
      <article-id pub-id-type="publisher-id">203025</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Clinical pharmacology</subject>
          <subject>Pharmaceutics</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Clinical pharmacist-led multiplex polymerase chain reaction diagnostics as a tool for antimicrobial stewardship in acute exacerbations of chronic obstructive pulmonary disease</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Nakovska</surname>
            <given-names>Olivera Krstic</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0009-0004-6495-8565</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Mihajloska</surname>
            <given-names>Evgenija</given-names>
          </name>
          <email xlink:type="simple">emihajloska@ff.ukim.edu.mk</email>
          <uri content-type="orcid">https://orcid.org/0000-0001-8494-3644</uri>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Debreshlioska</surname>
            <given-names>Angjela</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0009-0001-2897-2667</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Karkinski</surname>
            <given-names>Dimitar</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0009-0008-1407-8550</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Tatabitovska</surname>
            <given-names>Aleksandra</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0009-0008-2119-2191</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Grozdanova</surname>
            <given-names>Aleksandra</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-0098-8691</uri>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Shuturkova</surname>
            <given-names>Ljubica</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0003-0818-1961</uri>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">University Clinic of Pulmonology and Allergology, Bul. Mother Tereza 17, 1000 Skopje, Republic of North Macedonia</addr-line>
        <institution>University Clinic of Pulmology and Allergology</institution>
        <addr-line content-type="city">Skopje</addr-line>
        <country>Republic of North Macedonia</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Faculty of Pharmacy, Ss. Cyril and Methodius University in Skopje, Bul. Mother Tereza 47, 1000 Skopje, Republic of North Macedonia</addr-line>
        <institution>Faculty of Pharmacy, Ss. Cyril and Methodius University in Skopje</institution>
        <addr-line content-type="city">Skopje</addr-line>
        <country>Republic of North Macedonia</country>
        <uri content-type="ror">https://ror.org/02wk2vx54</uri>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Evgenija Mihajloska (<email xlink:type="simple">emihajloska@ff.ukim.edu.mk</email>)</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>25</day>
        <month>09</month>
        <year>2026</year>
      </pub-date>
      <volume>73</volume>
      <elocation-id>e203025</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/D8623B75-09DB-577D-BA48-9E17971E307E">D8623B75-09DB-577D-BA48-9E17971E307E</uri>
      <history>
        <date date-type="received">
          <day>07</day>
          <month>06</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>04</day>
          <month>09</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Olivera Krstic Nakovska, Evgenija Mihajloska, Angjela Debreshlioska, Dimitar Karkinski, Aleksandra Tatabitovska, Aleksandra Grozdanova, Ljubica Shuturkova</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p>Respiratory viral infections are major triggers of acute exacerbations of chronic obstructive pulmonary disease, yet they are frequently underdiagnosed using conventional microbiological methods, contributing to empirical antimicrobial prescribing. A prospective observational study was conducted in 70 hospitalized patients to evaluate the integration of multiplex polymerase chain reaction (<abbrev xlink:title="polymerase chain reaction">PCR</abbrev>) diagnostics into a clinical pharmacist-led antimicrobial stewardship program. Respiratory pathogens were identified in 45 patients, with multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> enabling rapid detection of respiratory viral pathogens not identified by conventional microbiological culture. Following interpretation of the molecular results by the clinical pharmacist, antibiotic discontinuation was recommended in 44 patients, while targeted antimicrobial optimization was performed in nine patients. Human rhinovirus/enterovirus was the only microbiological variable associated with prolonged hospital stay. These findings suggest that improved recognition of viral respiratory infections through rapid molecular diagnostics may support timely therapeutic decision-making and antimicrobial optimization and highlight the potential contribution of clinical pharmacists to antimicrobial stewardship.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>acute exacerbation of chronic obstructive pulmonary disease</kwd>
        <kwd>antimicrobial stewardship</kwd>
        <kwd>antibiotic de-escalation</kwd>
        <kwd>clinical pharmacist</kwd>
        <kwd>multiplex polymerase chain reaction</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="Introduction" id="sec1">
      <title>Introduction</title>
      <p>Chronic obstructive pulmonary disease (<abbrev xlink:title="Chronic obstructive pulmonary disease">COPD</abbrev>) remains a major global public health challenge and is among the leading causes of morbidity and mortality worldwide (<xref ref-type="bibr" rid="B2">Boers et al. 2023</xref>;<xref ref-type="bibr" rid="B5"> GOLD 2025</xref>). Acute exacerbations of <abbrev xlink:title="Chronic obstructive pulmonary disease">COPD</abbrev> (<abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev>) are clinically significant events characterized by worsening respiratory symptoms requiring additional treatment and frequently resulting in hospitalization. These episodes contribute substantially to disease progression, impaired quality of life, increased healthcare utilization, recurrent hospital admissions, and mortality (<xref ref-type="bibr" rid="B14">Waeijen-Smit et al. 2024</xref>).</p>
      <p>Respiratory infections are recognized as one of the principal triggers of <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev>. Current evidence indicates that exacerbations may result from bacterial infections, viral infections, or mixed viral-bacterial etiologies, highlighting the complexity of pathogen identification in routine clinical practice (<xref ref-type="bibr" rid="B17">Yu and Yang 2025</xref>). Respiratory viral infections are responsible for approximately 50% of <abbrev xlink:title="Chronic obstructive pulmonary disease">COPD</abbrev> exacerbations and are associated with more severe symptoms, secondary bacterial infections, synergistic deterioration of lung function, and prolonged hospitalization (<xref ref-type="bibr" rid="B7">Guo-Parke et al. 2020</xref>).</p>
      <p>Despite the heterogeneous etiology of <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev>, empirical antimicrobial therapy is frequently initiated at hospital admission because differentiation between bacterial and viral infections remains challenging. Although antibiotics are beneficial in selected patients with suspected bacterial infection, inappropriate or prolonged antimicrobial use may contribute to antimicrobial resistance and unnecessary antibiotic exposure. Gram-negative bacteria represent an important group of pathogens among hospitalized patients with <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev>, with <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pseudomonas">Pseudomonas</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="aeruginosa">aeruginosa</tp:taxon-name-part></tp:taxon-name></italic> among the commonly identified bacterial pathogens and substantial antimicrobial resistance reported among Gram-negative isolates (<xref ref-type="bibr" rid="B17">Yu and Yang 2025</xref>). Recent evidence has demonstrated that multiplex polymerase chain reaction (<abbrev xlink:title="polymerase chain reaction">PCR</abbrev>) significantly improves pathogen detection and facilitates earlier optimization of antimicrobial therapy compared with conventional microbiological methods, supporting its integration into antimicrobial stewardship programs (<xref ref-type="bibr" rid="B8">Hua and Sethi 2024</xref>; <xref ref-type="bibr" rid="B13">Serapide et al. 2025</xref>).</p>
      <p>Clinical pharmacists represent key members of multidisciplinary antimicrobial stewardship teams. Their responsibilities include interpretation of microbiological findings, evaluation of antimicrobial appropriateness, identification of drug-related problems, and support of antimicrobial escalation, de-escalation, or discontinuation decisions (<xref ref-type="bibr" rid="B3">Dighriri et al. 2023</xref>). In patients with <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev>, pharmacist-led antimicrobial stewardship interventions have demonstrated significant improvements in antibiotic prescribing quality, supporting the expanding role of clinical pharmacists in optimizing antimicrobial therapy and promoting rational antibiotic use in routine clinical practice (<xref ref-type="bibr" rid="B6">Gong et al. 2022</xref>; <xref ref-type="bibr" rid="B11">Nguyen et al. 2026</xref>). Furthermore, the integration of rapid multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> diagnostics into pharmacist-led antimicrobial stewardship interventions may provide additional value by supporting antimicrobial escalation and de-escalation decisions and promoting more targeted antimicrobial use (<xref ref-type="bibr" rid="B15">Wang et al. 2025</xref>).</p>
      <p>Despite growing evidence supporting the effectiveness of pharmacist-led antimicrobial stewardship interventions, evidence regarding the integration of rapid multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> diagnostics into the management of <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev> remains limited. This gap is particularly relevant in low- and middle-income healthcare settings, where conventional microbiological culture remains the cornerstone of pathogen identification and where both antimicrobial stewardship programs and access to advanced molecular diagnostic technologies are still in the early stages of development. Therefore, assessing the clinical utility of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev>-guided antimicrobial stewardship may provide valuable evidence for optimizing antimicrobial prescribing and supporting early therapeutic decision-making.</p>
      <p>The aim of this study was to evaluate the clinical utility of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> diagnostics integrated into a clinical pharmacist-led antimicrobial stewardship model in hospitalized patients with <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev>. Specifically, the study assessed the contribution of pharmacist-interpreted multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> testing to respiratory pathogen detection, pharmacist-guided antimicrobial optimization, and clinical outcomes.</p>
    </sec>
    <sec sec-type="materials|methods" id="sec2">
      <title>Materials and methods</title>
      <sec sec-type="Study design" id="sec3">
        <title>Study design</title>
        <p>A prospective observational study was conducted between May 2025 and December 2025 at the University Clinic of Pulmonology and Allergology in Skopje, North Macedonia. Adult patients (&gt;18 years) hospitalized with <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev> were consecutively enrolled. All patients received empirical antimicrobial therapy initiated on the first day of hospitalization according to institutional treatment protocols based on the European Respiratory Society Guidelines for the Management of Adult Lower Respiratory Tract Infections (<xref ref-type="bibr" rid="B16">Woodhead et al. 2005</xref>). Patients were prospectively followed throughout hospitalization to evaluate microbiological findings, pharmacist-guided antimicrobial stewardship interventions, and clinical outcomes. The Ethics Committee of the Faculty of Pharmacy, Ss. Cyril and Methodius University in Skopje, Republic of North Macedonia, determined that the findings reported in this study were based on routine clinical practice and were therefore suitable for dissemination. All patients provided written informed consent at the time of study registration.</p>
      </sec>
      <sec sec-type="Microbiological and molecular diagnostics" id="sec4">
        <title>Microbiological and molecular diagnostics</title>
        <p>All patients received empirical antimicrobial therapy initiated on the first day of hospitalization according to institutional treatment protocols. Prior to the first antimicrobial dose, sputum and bronchoalveolar lavage (<abbrev xlink:title="bronchoalveolar lavage">BAL</abbrev>) samples were collected for microbiological and molecular analyses. Samples were analyzed using the BioFire FilmArray Pneumonia Panel Plus multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> assay and conventional microbiological culture methods, performed at the Institute of Microbiology and Parasitology, Faculty of Medicine, Ss. Cyril and Methodius University in Skopje. The BioFire FilmArray Pneumonia Panel Plus is a multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev>-based molecular diagnostic assay capable of detecting 18 bacterial targets (15 common bacterial targets reported semi-quantitatively and three atypical bacterial targets reported qualitatively), nine viral targets, and seven antimicrobial resistance gene markers (<xref ref-type="bibr" rid="B1">BioFire Diagnostics 2023</xref>).</p>
      </sec>
      <sec sec-type="Clinical and laboratory data collection" id="sec5">
        <title>Clinical and laboratory data collection</title>
        <p>Clinical and laboratory data were prospectively collected from hospital documentation and electronic medical records throughout hospitalization. Evaluated variables included demographic characteristics, microbiological findings, inflammatory and biochemical laboratory parameters, empirical antimicrobial therapy, and hospital length of stay. Laboratory parameters included leukocyte count (<abbrev xlink:title="leukocyte count">Le</abbrev>), C-reactive protein (<abbrev xlink:title="C-reactive protein">CRP</abbrev>), lactate dehydrogenase (<abbrev xlink:title="lactate dehydrogenase">LDH</abbrev>), and blood glucose concentration, measured at hospital admission and discharge. Pulmonary function parameters, including forced expiratory volume in one second (FEV<sub>1</sub>), forced vital capacity (<abbrev xlink:title="forced vital capacity">FVC</abbrev>), and the FEV<sub>1</sub>/<abbrev xlink:title="forced vital capacity">FVC</abbrev> ratio, were recorded as baseline measurements at hospital admission.</p>
      </sec>
      <sec sec-type="Statistical analysis" id="sec6">
        <title>Statistical analysis</title>
        <p>Statistical analyses were performed using IBM SPSS Statistics version 26. Descriptive statistics were used to summarize demographic, clinical, microbiological, and laboratory characteristics of the study population. Continuous variables were presented as the median and interquartile range (<abbrev xlink:title="interquartile range">IQR</abbrev>) because of their non-normal distribution, while categorical variables were expressed as frequencies and percentages. Point-biserial correlation coefficients (<italic>r</italic>) were calculated to assess associations between binary microbiological, clinical, and laboratory variables and hospital length of stay. To account for multiple comparisons, <italic>p</italic>-values were adjusted using the Bonferroni correction. Variables showing statistically significant associations in the unadjusted analysis were considered for further regression analysis. Infection with human rhinovirus/enterovirus, which remained statistically significant after Bonferroni correction, and elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> at admission, which showed a significant association in the unadjusted analysis and was considered clinically relevant, were included in the regression models. Regression assumptions were assessed using residual diagnostics. Because the assumption of residual normality was not fully satisfied, the association between human rhinovirus/enterovirus infection and hospital length of stay was additionally evaluated using the Mann–Whitney <italic>U</italic> test as a sensitivity analysis. Differences in hospital length of stay according to infection patterns were also evaluated using the Mann–Whitney <italic>U</italic> test.</p>
      </sec>
    </sec>
    <sec sec-type="Results" id="sec7">
      <title>Results</title>
      <p>A total of 70 patients hospitalized due to <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev> were included in the study. The study population was predominantly male, comprising 46 patients (65.7%).</p>
      <p>Baseline laboratory assessments showed abnormal inflammatory and biochemical parameters in a substantial proportion of the study population. The median leukocyte count was 10.91 × 10<sup>9</sup>/L (<abbrev xlink:title="interquartile range">IQR</abbrev> 8.91–13.74), while the median <abbrev xlink:title="C-reactive protein">CRP</abbrev> concentration was 16.05 mg/L (<abbrev xlink:title="interquartile range">IQR</abbrev> 8.64–51.58). Elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> levels were also observed, with a median value of 325 U/L (<abbrev xlink:title="interquartile range">IQR</abbrev> 264.75–477.25). The median blood glucose concentration at admission was 6.89 mmol/L (<abbrev xlink:title="interquartile range">IQR</abbrev> 5.87–9.43). Overall, elevated <abbrev xlink:title="C-reactive protein">CRP</abbrev> levels were present in 60 patients (85.7%), followed by elevated blood glucose in 52 patients (74.3%), elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> levels in 46 patients (65.7%), and leukocytosis in 40 patients (57.1%).</p>
      <p>Pulmonary function testing revealed severe airflow limitation within the study population. The median FEV<sub>1</sub> was 32.0% of the predicted value (<abbrev xlink:title="interquartile range">IQR</abbrev> 26.0–43.75), while the median <abbrev xlink:title="forced vital capacity">FVC</abbrev> was 49.0% of the predicted value (<abbrev xlink:title="interquartile range">IQR</abbrev> 38.5–60.5). The median FEV<sub>1</sub>/<abbrev xlink:title="forced vital capacity">FVC</abbrev> ratio was 53.39% (<abbrev xlink:title="interquartile range">IQR</abbrev> 44.0–62.79), consistent with persistent airflow obstruction characteristic of <abbrev xlink:title="Chronic obstructive pulmonary disease">COPD</abbrev>. Bronchitis and emphysema were present in 38 patients (54.3%) and 32 patients (45.7%), respectively.</p>
      <p>Respiratory pathogens were identified in 45 patients (64.3%). Because multiple pathogens were detected in several patients, the cumulative number of pathogen detections exceeded the total number of patients with positive microbiological findings. Regarding the distribution of identified microorganisms, influenza A virus and respiratory syncytial virus (<abbrev xlink:title="Respiratory syncytial virus">RSV</abbrev>) were the most frequently detected pathogens, each identified in 10 patients (14.3%). These were followed by <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pseudomonas">Pseudomonas</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="aeruginosa">aeruginosa</tp:taxon-name-part></tp:taxon-name></italic> and human rhinovirus/enterovirus, detected in nine patients each (12.9%), and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Streptococcus">Streptococcus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name></italic> in eight patients (11.4%). Human coronavirus OC43 (HCoV-OC43), <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="species" reg="Candida">Candida</tp:taxon-name-part></tp:taxon-name></italic> spp., and human metapneumovirus were identified in six patients each (8.6%), while <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Haemophilus">Haemophilus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="influenzae">influenzae</tp:taxon-name-part></tp:taxon-name></italic> and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Escherichia">Escherichia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="coli">coli</tp:taxon-name-part></tp:taxon-name></italic> were detected in five patients (7.1%) and four patients (5.7%), respectively. Less frequently detected pathogens included influenza B virus and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Moraxella">Moraxella</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="catarrhalis">catarrhalis</tp:taxon-name-part></tp:taxon-name></italic> (two patients each, 2.9%), whereas <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Trichosporon">Trichosporon</tp:taxon-name-part></tp:taxon-name></italic> spp., <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Klebsiella">Klebsiella</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name></italic>, and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Serratia">Serratia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="marcescens">marcescens</tp:taxon-name-part></tp:taxon-name></italic> were each identified in one patient (1.4%). Analysis of infection patterns in the overall study population demonstrated a predominance of viral pathogens and mixed infections. Single viral infections were identified in 11 patients (15.7%), while single bacterial infections were detected in nine patients (12.9%). Multiple viral infections involving two or more viral pathogens were observed in three patients (4.3%), whereas multiple bacterial infections were identified in two patients (2.9%). Viral-bacterial co-infections represented the most frequent mixed infection pattern and were detected in 14 patients (20.0%). Viral-fungal co-infections were less common, occurring in three patients (4.3%). Fungal infections were identified in two patients (2.9%), while multiple fungal infections were detected in one patient (1.4%).</p>
      <p>While multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> enabled the detection of respiratory viral pathogens that are not routinely identified by conventional microbiological culture methods, it also increased the detection of several bacterial pathogens. Conventional microbiological culture remained important for the identification of fungal pathogens, including <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="species" reg="Candida">Candida</tp:taxon-name-part></tp:taxon-name></italic> spp. and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Trichosporon">Trichosporon</tp:taxon-name-part></tp:taxon-name></italic> spp. (Table <xref ref-type="table" rid="T1">1</xref>). Multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> additionally detected <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Serratia">Serratia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="marcescens">marcescens</tp:taxon-name-part></tp:taxon-name></italic> together with the VIM (Verona integron-encoded metallo-β-lactamase) resistance marker in one patient, providing early information on the presence of a clinically relevant antimicrobial resistance mechanism.</p>
      <table-wrap id="T1" position="float" orientation="portrait">
        <label>Table 1.</label>
        <caption>
          <p>Comparison of conventional microbiological culture and multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev>.</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <th rowspan="1" colspan="1">
                <bold>Detected pathogen</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>FA-PP +/SOPM-</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>FA-PP +/SOPM+</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>SOPM +</bold>
              </th>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Influenza A virus</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Influenza B virus</td>
              <td rowspan="1" colspan="1">2</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Respiratory syncytial virus (<abbrev xlink:title="Respiratory syncytial virus">RSV</abbrev>)</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Human rhinovirus/enterovirus</td>
              <td rowspan="1" colspan="1">9</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Human coronavirus OC43 (HCoV-OC43)</td>
              <td rowspan="1" colspan="1">6</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Human metapneumovirus</td>
              <td rowspan="1" colspan="1">6</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Streptococcus">Streptococcus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">6</td>
              <td rowspan="1" colspan="1">2</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pseudomonas">Pseudomonas</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="aeruginosa">aeruginosa</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">6</td>
              <td rowspan="1" colspan="1">3</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Escherichia">Escherichia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="coli">coli</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">3</td>
              <td rowspan="1" colspan="1">1</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Haemophilus">Haemophilus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="influenzae">influenzae</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">5</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Klebsiella">Klebsiella</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">1</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Moraxella">Moraxella</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="catarrhalis">catarrhalis</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">2</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Serratia">Serratia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="marcescens">marcescens</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">1</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="species" reg="Candida">Candida</tp:taxon-name-part></tp:taxon-name></italic> spp.</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">6</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Trichosporon">Trichosporon</tp:taxon-name-part></tp:taxon-name></italic> spp.</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">1</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p><bold>Abbreviations</bold>: FA-PP+/SOPM–, pathogen detected by multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> but not by conventional microbiological culture; FA-PP+/SOPM+, pathogen detected by both methods; SOPM+, pathogen detected exclusively by conventional culture.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Intravenous empirical antimicrobial therapy was initiated in all patients at hospital admission. With respect to empirical antimicrobial treatment, moxifloxacin represented the predominant therapeutic choice and was administered in 35 patients (50.0%). Ceftriaxone and azithromycin were the next most frequently used agents, prescribed in 16 patients (22.9%) and 10 patients (14.3%), respectively. In contrast, ceftazidime, meropenem, and piperacillin/tazobactam were used less frequently, accounting for three (4.3%), four (5.7%), and two (2.9%) prescriptions, respectively.</p>
      <p>Following multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> testing, pharmacist-guided antibiotic de-escalation was performed in 44 patients, while empirical antimicrobial therapy was maintained in 17 patients. Additional targeted antimicrobial optimization was implemented in selected cases according to the identified pathogen profile (Tables <xref ref-type="table" rid="T2">2</xref>, <xref ref-type="table" rid="T3">3</xref>).</p>
      <table-wrap id="T2" position="float" orientation="portrait">
        <label>Table 2.</label>
        <caption>
          <p>Pharmacist-guided antimicrobial stewardship interventions.</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <th rowspan="1" colspan="1">
                <bold>Pathogen detected</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>Pharmacist intervention</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>Stewardship intervention</bold>
              </th>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">No pathogen detected</td>
              <td rowspan="1" colspan="1">Discontinuation of empirical antibiotic therapy</td>
              <td rowspan="1" colspan="1">Antibiotic de-escalation</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Influenza A virus</td>
              <td rowspan="1" colspan="1">Initiation of oseltamivir and discontinuation of unnecessary antibiotic therapy</td>
              <td rowspan="1" colspan="1">Antiviral therapy optimization and antibiotic de-escalation</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Influenza B virus</td>
              <td rowspan="1" colspan="1">Initiation of oseltamivir and discontinuation of unnecessary antibiotic therapy</td>
              <td rowspan="1" colspan="1">Antiviral therapy optimization and antibiotic de-escalation</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Other viral pathogens (<abbrev xlink:title="Respiratory syncytial virus">RSV</abbrev>, human rhinovirus/enterovirus, hMPV, HCoV-OC43)</td>
              <td rowspan="1" colspan="1">Discontinuation of empirical antibiotic therapy</td>
              <td rowspan="1" colspan="1">Antibiotic de-escalation</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Viral-bacterial co-infection</td>
              <td rowspan="1" colspan="1">Maintenance or targeted modification of empirical therapy according to detected pathogens</td>
              <td rowspan="1" colspan="1">Antimicrobial optimization</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pseudomonas">Pseudomonas</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="aeruginosa">aeruginosa</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">Switch from moxifloxacin to ceftazidime</td>
              <td rowspan="1" colspan="1">Targeted antimicrobial optimization</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Serratia">Serratia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="marcescens">marcescens</tp:taxon-name-part></tp:taxon-name></italic> + VIM resistance-marker detection</td>
              <td rowspan="1" colspan="1">Switch from moxifloxacin to ciprofloxacin</td>
              <td rowspan="1" colspan="1">Targeted antimicrobial optimization</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Streptococcus">Streptococcus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">No modification of empirical antibiotic therapy</td>
              <td rowspan="1" colspan="1">No change</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Escherichia">Escherichia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="coli">coli</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">No modification of empirical antibiotic therapy</td>
              <td rowspan="1" colspan="1">No change</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Haemophilus">Haemophilus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="influenzae">influenzae</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">No modification of empirical antibiotic therapy</td>
              <td rowspan="1" colspan="1">No change</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Moraxella">Moraxella</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="catarrhalis">catarrhalis</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">No modification of empirical antibiotic therapy</td>
              <td rowspan="1" colspan="1">No change</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Klebsiella">Klebsiella</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">No modification of empirical antibiotic therapy</td>
              <td rowspan="1" colspan="1">No change</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="species" reg="Candida">Candida</tp:taxon-name-part></tp:taxon-name></italic> spp.</td>
              <td rowspan="1" colspan="1">Discontinuation of unnecessary antibiotic therapy</td>
              <td rowspan="1" colspan="1">Antibiotic de-escalation</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Trichosporon">Trichosporon</tp:taxon-name-part></tp:taxon-name></italic> spp.</td>
              <td rowspan="1" colspan="1">Initiation of voriconazole and discontinuation of unnecessary antibiotic therapy</td>
              <td rowspan="1" colspan="1">Antibiotic de-escalation and targeted antifungal optimization</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p><bold>Abbreviations</bold>: hMPV, human metapneumovirus; HCoV-OC43, human coronavirus OC43; <abbrev xlink:title="Respiratory syncytial virus">RSV</abbrev>, respiratory syncytial virus; VIM, Verona integron-encoded metallo-β-lactamase.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="T3" position="float" orientation="portrait">
        <label>Table 3.</label>
        <caption>
          <p>Antimicrobial stewardship interventions and representative microbiological findings supporting the final clinical recommendation.</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <th rowspan="1" colspan="1">
                <bold>Stewardship intervention<sup>1</sup></bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>Patients, <italic>n</italic> (%)</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>Pathogen findings supporting the intervention</bold>
              </th>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Antibiotic de-escalation (antibiotic discontinuation)</td>
              <td rowspan="1" colspan="1">44 (62.8%)</td>
              <td rowspan="1" colspan="1">No pathogen detected; influenza A/B; isolated viral infections (<abbrev xlink:title="Respiratory syncytial virus">RSV</abbrev>, human rhinovirus/enterovirus, hMPV, HCoV-OC43); fungal pathogen detection; without evidence of bacterial co-infection</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Targeted antimicrobial optimization</td>
              <td rowspan="1" colspan="1">9 (12.9%)</td>
              <td rowspan="1" colspan="1">Viral-bacterial co-infection; <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pseudomonas">Pseudomonas</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="aeruginosa">aeruginosa</tp:taxon-name-part></tp:taxon-name></italic>; <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Serratia">Serratia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="marcescens">marcescens</tp:taxon-name-part></tp:taxon-name></italic>; fungal pathogen detection (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Trichosporon">Trichosporon</tp:taxon-name-part></tp:taxon-name></italic> spp.)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">No change</td>
              <td rowspan="1" colspan="1">17 (24.3%)</td>
              <td rowspan="1" colspan="1">Findings supporting continuation of empirical therapy</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p><bold>Abbreviations</bold>: <abbrev xlink:title="Respiratory syncytial virus">RSV</abbrev>, respiratory syncytial virus; hMPV, human metapneumovirus; HCoV-OC43, human coronavirus OC43. <sup>1</sup>Stewardship interventions were assigned according to the final pharmacist recommendation based on integrated interpretation of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> results, conventional microbiological findings, clinical assessment, laboratory parameters, and institutional antimicrobial stewardship protocols.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>The median length of hospitalization was 12 days (range 5–25). At discharge, laboratory findings demonstrated improvement in inflammatory and biochemical parameters. The median <abbrev xlink:title="C-reactive protein">CRP</abbrev> concentration decreased to 3.0 mg/L (<abbrev xlink:title="interquartile range">IQR</abbrev> 3.0–5.6), accompanied by a reduction in the median leukocyte count to 9.36 × 10<sup>9</sup>/L (<abbrev xlink:title="interquartile range">IQR</abbrev> 7.25–12.3). Median blood glucose and <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> levels decreased to 6.23 mmol/L (<abbrev xlink:title="interquartile range">IQR</abbrev> 5.22–8.26) and 300 U/L (<abbrev xlink:title="interquartile range">IQR</abbrev> 200–388), respectively.</p>
      <p>Point-biserial correlation analysis was performed to evaluate the association between microbiological, clinical, and laboratory variables and hospital length of stay. In the unadjusted analysis, human rhinovirus/enterovirus infection (<italic>r</italic> = 0.41, <italic>p</italic> = 0.0003) and elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> at admission (<italic>r</italic> = 0.29, <italic>p</italic> = 0.013) were positively associated with hospital length of stay. After Bonferroni correction for multiple comparisons, only the association between human rhinovirus/enterovirus infection and hospital length of stay remained statistically significant (adjusted <italic>p</italic> = 0.010), whereas the association with elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> was no longer statistically significant (adjusted <italic>p</italic> = 0.436). No other variables showed statistically significant associations after Bonferroni correction (Table <xref ref-type="table" rid="T4">4</xref>).</p>
      <table-wrap id="T4" position="float" orientation="portrait">
        <label>Table 4.</label>
        <caption>
          <p>Correlations between patient characteristics and hospital length of stay.</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <th rowspan="1" colspan="1">
                <bold>Variable</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>
                  <italic>r</italic>
                </bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>Raw <italic>p</italic>-value</bold>
              </th>
              <th rowspan="1" colspan="1">
                <bold>Bonferroni-adjusted <italic>p</italic>-value</bold>
              </th>
            </tr>
            <tr>
              <td rowspan="1" colspan="4">
                <bold>Microbiological findings</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Human rhinovirus/enterovirus</td>
              <td rowspan="1" colspan="1">0.41</td>
              <td rowspan="1" colspan="1">&lt; 0.001</td>
              <td rowspan="1" colspan="1">0.010</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Respiratory syncytial virus (<abbrev xlink:title="Respiratory syncytial virus">RSV</abbrev>)</td>
              <td rowspan="1" colspan="1">0.20</td>
              <td rowspan="1" colspan="1">0.091</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Influenza A virus</td>
              <td rowspan="1" colspan="1">–0.12</td>
              <td rowspan="1" colspan="1">0.306</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Influenza B virus</td>
              <td rowspan="1" colspan="1">–0.11</td>
              <td rowspan="1" colspan="1">0.358</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Human metapneumovirus</td>
              <td rowspan="1" colspan="1">0.07</td>
              <td rowspan="1" colspan="1">0.524</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Human coronavirus OC43 (HCoV-OC43)</td>
              <td rowspan="1" colspan="1">0.03</td>
              <td rowspan="1" colspan="1">0.785</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Streptococcus">Streptococcus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">–0.01</td>
              <td rowspan="1" colspan="1">0.872</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pseudomonas">Pseudomonas</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="aeruginosa">aeruginosa</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">0.06</td>
              <td rowspan="1" colspan="1">0.594</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Haemophilus">Haemophilus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="influenzae">influenzae</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">0</td>
              <td rowspan="1" colspan="1">1</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Escherichia">Escherichia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="coli">coli</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">0.09</td>
              <td rowspan="1" colspan="1">0.442</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>
                  <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Moraxella">Moraxella</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="catarrhalis">catarrhalis</tp:taxon-name-part></tp:taxon-name>
                </italic>
              </td>
              <td rowspan="1" colspan="1">–0.03</td>
              <td rowspan="1" colspan="1">0.76</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="species" reg="Candida">Candida</tp:taxon-name-part></tp:taxon-name></italic> spp.</td>
              <td rowspan="1" colspan="1">0.01</td>
              <td rowspan="1" colspan="1">0.927</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="4">
                <bold>Infection patterns</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Viral infection</td>
              <td rowspan="1" colspan="1">0.11</td>
              <td rowspan="1" colspan="1">0.343</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Bacterial infection</td>
              <td rowspan="1" colspan="1">–0.03</td>
              <td rowspan="1" colspan="1">0.749</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Fungal infection</td>
              <td rowspan="1" colspan="1">0.18</td>
              <td rowspan="1" colspan="1">0.123</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Multiple viral infection (≥2 viral pathogens)</td>
              <td rowspan="1" colspan="1">0.21</td>
              <td rowspan="1" colspan="1">0.075</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Multiple bacterial infections (≥2 bacterial pathogens)</td>
              <td rowspan="1" colspan="1">–0.09</td>
              <td rowspan="1" colspan="1">0.444</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Multiple fungal infections (≥2 fungal pathogens)</td>
              <td rowspan="1" colspan="1">0.05</td>
              <td rowspan="1" colspan="1">0.667</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Viral-bacterial co-infection</td>
              <td rowspan="1" colspan="1">0.06</td>
              <td rowspan="1" colspan="1">0.610</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Viral-fungal co-infection</td>
              <td rowspan="1" colspan="1">–0.16</td>
              <td rowspan="1" colspan="1">0.164</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="4">
                <bold>Laboratory findings at admission</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Elevated leukocyte count (at admission)</td>
              <td rowspan="1" colspan="1">0.02</td>
              <td rowspan="1" colspan="1">0.837</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Elevated C-reactive protein (<abbrev xlink:title="C-reactive protein">CRP</abbrev>) (at admission)</td>
              <td rowspan="1" colspan="1">0</td>
              <td rowspan="1" colspan="1">0.942</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Elevated lactate dehydrogenase (<abbrev xlink:title="lactate dehydrogenase">LDH</abbrev>)</td>
              <td rowspan="1" colspan="1">0.29</td>
              <td rowspan="1" colspan="1">0.013</td>
              <td rowspan="1" colspan="1">0.436</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Elevated blood glucose</td>
              <td rowspan="1" colspan="1">–0.12</td>
              <td rowspan="1" colspan="1">0.320</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="4">
                <bold><abbrev xlink:title="Chronic obstructive pulmonary disease">COPD</abbrev> characteristics</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Bronchitis</td>
              <td rowspan="1" colspan="1">0.05</td>
              <td rowspan="1" colspan="1">0.682</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Emphysema</td>
              <td rowspan="1" colspan="1">–0.05</td>
              <td rowspan="1" colspan="1">0.682</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p><bold>Abbreviations</bold>: <abbrev xlink:title="Chronic obstructive pulmonary disease">COPD</abbrev>, chronic obstructive pulmonary disease; <abbrev xlink:title="C-reactive protein">CRP</abbrev>, C-reactive protein; HCoV-OC43, human coronavirus OC43; <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev>, lactate dehydrogenase; <abbrev xlink:title="Respiratory syncytial virus">RSV</abbrev>, respiratory syncytial virus.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Human rhinovirus/enterovirus infection, which remained statistically significant after Bonferroni correction, and elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> at admission, based on its clinical relevance and significant association in the unadjusted analysis, were further evaluated using linear regression models. In the univariable analysis, human rhinovirus/enterovirus infection (<italic>β</italic> = 5.74, 95% CI: 2.71–8.77, <italic>p</italic> = 0.0003) and elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> (<italic>β</italic> = 2.85, 95% CI: 0.60–5.10, <italic>p</italic> = 0.0136) were each associated with longer hospital length of stay. In the multivariable model, both human rhinovirus/enterovirus infection (<italic>β</italic> = 5.39, 95% CI: 2.45–8.34, <italic>p</italic> = 0.0005) and elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> (<italic>β</italic> = 2.48, 95% CI: 0.40–4.56, <italic>p</italic> = 0.020) remained associated with longer hospital length of stay. The multivariable model explained 23.8% of the variability in hospital length of stay (<italic>R<sup>2</sup></italic> = 0.238; adjusted <italic>R<sup>2</sup></italic> = 0.215). Variance inflation factors were approximately 1.01 for both variables, indicating no evidence of multicollinearity.</p>
      <p>Infrequently detected pathogens, including <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Klebsiella">Klebsiella</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name></italic>, <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Serratia">Serratia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="marcescens">marcescens</tp:taxon-name-part></tp:taxon-name></italic>, and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Trichosporon">Trichosporon</tp:taxon-name-part></tp:taxon-name></italic> spp., were reported descriptively only because their low frequency precluded reliable inferential statistical analysis.</p>
      <p>Because residual diagnostics indicated some departure from normality, the association between human rhinovirus/enterovirus infection and hospital length of stay was additionally evaluated using the Mann–Whitney <italic>U</italic> test. Consistent with the regression analysis, patients with human rhinovirus/enterovirus infection had a significantly longer hospital stay than those without this infection (median 20 [<abbrev xlink:title="interquartile range">IQR</abbrev> 14–21] vs. 11 [<abbrev xlink:title="interquartile range">IQR</abbrev> 9–14] days; <italic>U</italic> = 433, <italic>p</italic> = 0.005). Hospital length of stay was also compared according to different infection patterns using the Mann–Whitney <italic>U</italic> test. No statistically significant differences were observed between patients with and without viral, bacterial, fungal, or mixed infections (all <italic>p</italic> &gt; 0.05). Descriptively, patients with multiple viral infections had a longer median hospital stay than those without multiple viral infections (20 vs. 11 days; <italic>p</italic> = 0.106), and fungal infections were associated with a longer median hospitalization (18 vs. 11.5 days; <italic>p</italic> = 0.115). Patients with viral-bacterial co-infections also had a slightly longer median hospital stay (12.5 vs. 11 days; <italic>p</italic> = 0.392). In contrast, bacterial infections, multiple bacterial infections, and viral-fungal co-infections were associated with shorter median hospital stays than the corresponding comparison groups (all <italic>p</italic> &gt; 0.05).</p>
    </sec>
    <sec sec-type="Discussion" id="sec8">
      <title>Discussion</title>
      <p>The findings of the present study support the potential role of clinical pharmacist-led antimicrobial stewardship in optimizing empirical antimicrobial therapy among hospitalized patients with <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev>. In the present setting, the clinical pharmacist was directly involved in the management of the molecular diagnostics laboratory and interpretation of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> results for respiratory pathogen detection, enabling timely integration of microbiological findings into clinical decision-making and antimicrobial stewardship interventions. Following the availability of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> results, antibiotic de-escalation was performed in the majority of patients, with therapeutic modifications typically implemented within the first 24 h after the results became available.</p>
      <p>A major finding of the present study was the substantially higher diagnostic yield of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> compared with conventional microbiological culture. Most stewardship interventions were associated with viral pathogens detected exclusively by multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev>. In total, 43 viral pathogen detections were identified across six viral categories. Because some patients had more than one viral pathogen detected, this number refers to pathogen detections rather than individual patients. These findings are consistent with a previous study demonstrating that rapid molecular diagnostics significantly improve respiratory pathogen detection and provide clinically actionable results considerably earlier than conventional microbiological methods, thereby facilitating timely antimicrobial optimization (<xref ref-type="bibr" rid="B4">Echavarría et al. 2018</xref>). However, despite their superior diagnostic performance, the clinical utility of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> testing in the management of acute exacerbations of chronic obstructive pulmonary disease remains less well established than in pneumonia, as many currently available assays were originally developed and validated for pneumonia diagnosis (<xref ref-type="bibr" rid="B8">Hua and Sethi 2024</xref>). In this context, the present study provides real-world observational evidence suggesting that the integration of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> diagnostics into a clinical pharmacist-led antimicrobial stewardship framework may support early pathogen identification and targeted therapeutic decision-making. Furthermore, the majority of antimicrobial stewardship interventions in the present study were triggered by viral pathogens detected exclusively by multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev>, suggesting the potential clinical value of routine viral testing in a patient population in which microbiological evaluation has traditionally focused predominantly on bacterial pathogens.</p>
      <p>After adjustment for multiple comparisons, human rhinovirus/enterovirus was the only microbiological variable that remained significantly associated with hospital length of stay. In the univariable regression model, patients positive for human rhinovirus/enterovirus had an estimated 5.74-day longer hospital stay, while the association remained similar after adjustment for elevated <abbrev xlink:title="lactate dehydrogenase">LDH</abbrev> in the multivariable model. The corresponding model explained only a modest proportion of the observed variability in hospital length of stay, indicating that additional clinical and patient-level factors not captured in the present study are likely to contribute to hospitalization duration. Nevertheless, only nine patients were positive for human rhinovirus/enterovirus, and most detections occurred in the context of co-infection. Five patients had viral-bacterial co-detections involving human rhinovirus/enterovirus and one or more bacterial pathogens (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Streptococcus">Streptococcus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="pneumoniae">pneumoniae</tp:taxon-name-part></tp:taxon-name></italic>, <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pseudomonas">Pseudomonas</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="aeruginosa">aeruginosa</tp:taxon-name-part></tp:taxon-name></italic>, <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Escherichia">Escherichia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="coli">coli</tp:taxon-name-part></tp:taxon-name></italic>, or <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Haemophilus">Haemophilus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="influenzae">influenzae</tp:taxon-name-part></tp:taxon-name></italic>), with respiratory syncytial virus additionally detected in two of these patients. Two additional patients had multiple viral detections involving human rhinovirus/enterovirus with respiratory syncytial virus or human coronavirus OC43, while only two patients had human rhinovirus/enterovirus detected as a single pathogen. Therefore, the observed association should be interpreted with caution and confirmed in larger studies before attributing an independent effect of human rhinovirus/enterovirus on hospital length of stay. Notably, the longest hospitalization observed in the study population (25 days) occurred in a patient with combined respiratory syncytial virus, human rhinovirus/enterovirus, and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Escherichia">Escherichia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="coli">coli</tp:taxon-name-part></tp:taxon-name></italic> infection. These findings suggest that the observed association between human rhinovirus/enterovirus detection and prolonged hospitalization may not be attributable solely to isolated rhinovirus/enterovirus infection but may also reflect its frequent occurrence in mixed viral and viral-bacterial infections, which are generally associated with greater clinical complexity and disease severity. Previous studies have identified human rhinovirus as one of the most common viral triggers of acute exacerbations of <abbrev xlink:title="Chronic obstructive pulmonary disease">COPD</abbrev> and have demonstrated its ability to enhance airway inflammation, impair antibacterial host defenses, and facilitate secondary bacterial infection (<xref ref-type="bibr" rid="B10">Love and Proud 2022</xref>). Furthermore, rhinovirus-associated exacerbations have been linked to delayed recovery, increased symptom burden, and greater healthcare utilization (<xref ref-type="bibr" rid="B12">Ritchie and Wedzicha 2020</xref>). The present findings are consistent with these observations and further highlight the potential clinical value of rapid human rhinovirus/enterovirus detection, particularly in patients with co-infections, where early identification may support more appropriate antimicrobial management and help avoid unnecessary antibacterial exposure.</p>
      <p>A further strength of the present study was the integration of a clinical pharmacist-led molecular diagnostics laboratory into the antimicrobial stewardship workflow. This approach extends previous evidence demonstrating that pharmacist-led antimicrobial stewardship interventions improve the appropriateness of antibiotic prescribing, reduce unnecessary antimicrobial exposure, and promote guideline-concordant therapy among hospitalized patients with acute exacerbations of chronic obstructive pulmonary disease (<xref ref-type="bibr" rid="B9">Iovino 2023</xref>; <xref ref-type="bibr" rid="B11">Nguyen et al. 2026</xref>). The findings of the present study are consistent with recent evidence demonstrating that multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> testing not only improves pathogen detection but also facilitates early recognition of clinically relevant antimicrobial resistance mechanisms, thereby supporting timely antimicrobial optimization (<xref ref-type="bibr" rid="B13">Serapide et al. 2025</xref>). In the present study, multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> additionally detected <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Serratia">Serratia</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="marcescens">marcescens</tp:taxon-name-part></tp:taxon-name></italic> together with the VIM carbapenemase resistance marker in a clinical specimen, providing early information on the presence of a potentially clinically relevant resistance mechanism and thereby supporting timely antimicrobial stewardship decision-making. This observation highlights the potential value of rapid molecular diagnostics in informing antimicrobial therapy beyond pathogen identification alone.</p>
      <p>This study has several limitations. First, its observational single-arm design, without a comparator group receiving antimicrobial stewardship without multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> guidance, does not allow conclusions about the independent contribution of multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> to clinical outcomes. Second, the study was conducted at a single tertiary-care center with a relatively small sample size, which may limit the generalizability of the findings. In addition, several pathogens were detected in only a small number of patients, limiting pathogen-specific analyses. Although multiple statistical comparisons were performed, the association between human rhinovirus/enterovirus and hospital length of stay remained statistically significant after adjustment for multiple testing. However, this finding was based on a small number of rhinovirus/enterovirus-positive patients and should be confirmed in larger prospective studies. The study also included only in-hospital outcomes and did not include long-term follow-up. Therefore, mortality, hospital readmissions, and other longer-term outcomes were not evaluated.</p>
    </sec>
    <sec sec-type="Conclusion" id="sec9">
      <title>Conclusion</title>
      <p>This observational study suggests that integrating multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> diagnostics into a clinical pharmacist-led antimicrobial stewardship program may support antimicrobial optimization in hospitalized patients with <abbrev xlink:title="Acute exacerbations of COPD">AECOPD</abbrev>. Clinical pharmacists played an important role in interpreting multiplex <abbrev xlink:title="polymerase chain reaction">PCR</abbrev> results and translating microbiological findings into patient-specific antimicrobial stewardship recommendations. This approach may facilitate timely therapeutic decision-making and more appropriate antimicrobial use in routine clinical practice.</p>
    </sec>
  </body>
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    <sec sec-type="Additional information" id="sec10">
      <title>Additional information</title>
      <sec sec-type="Conflict of interest" id="sec11">
        <title>Conflict of interest</title>
        <p>The authors have declared that no competing interests exist.</p>
      </sec>
      <sec sec-type="Ethical statements" id="sec12">
        <title>Ethical statements</title>
        <p>The authors declared that no clinical trials were used in the present study.</p>
        <p>The authors declared that no experiments on humans or human tissues were performed for the present study.</p>
        <p>Informed consent from the humans, donors or donors’ representatives: The signed informed consent forms are deposited and archived at the University Clinic of Pulmonology and Allergology, Skopje, North Macedonia.</p>
        <p>The authors declared that no experiments on animals were performed for the present study.</p>
        <p>The authors declared that no commercially available immortalised human and animal cell lines were used in the present study.</p>
      </sec>
      <sec sec-type="Artificial Intelligence (AI) use" id="sec13">
        <title>Artificial Intelligence (AI) use</title>
        <p>The authors accept full responsibility for the content of the manuscript, including the disclosure of any use of AI.</p>
        <p>Regarding the use of AI in the preparation of this manuscript, the authors declare the following GPT used for language, style and writing.</p>
      </sec>
      <sec sec-type="Funding" id="sec14">
        <title>Funding</title>
        <p>No funding was reported.</p>
      </sec>
      <sec sec-type="Author contributions" id="sec15">
        <title>Author contributions</title>
        <p>All authors have contributed equally.</p>
      </sec>
      <sec sec-type="Author ORCIDs" id="sec16">
        <title>Author ORCIDs</title>
        <p>O.K. Nakovska <ext-link xlink:href="https://orcid.org/0009-0004-6495-8565" ext-link-type="uri">https://orcid.org/0009-0004-6495-8565</ext-link></p>
        <p>E. Mihajloska <ext-link xlink:href="https://orcid.org/0000-0001-8494-3644" ext-link-type="uri">https://orcid.org/0000-0001-8494-3644</ext-link></p>
        <p>A. Debreshlioska <ext-link xlink:href="https://orcid.org/0009-0001-2897-2667" ext-link-type="uri">https://orcid.org/0009-0001-2897-2667</ext-link></p>
        <p>D. Karkinski <ext-link xlink:href="https://orcid.org/0009-0008-1407-8550" ext-link-type="uri">https://orcid.org/0009-0008-1407-8550</ext-link></p>
        <p>A. Tatabitovska <ext-link xlink:href="https://orcid.org/0009-0008-2119-2191" ext-link-type="uri">https://orcid.org/0009-0008-2119-2191</ext-link></p>
        <p>A. Grozdanova <ext-link xlink:href="https://orcid.org/0000-0002-0098-8691" ext-link-type="uri">https://orcid.org/0000-0002-0098-8691</ext-link></p>
        <p>Lj. Shuturkova <ext-link xlink:href="https://orcid.org/0000-0003-0818-1961" ext-link-type="uri">https://orcid.org/0000-0003-0818-1961</ext-link></p>
      </sec>
      <sec sec-type="Data availability" id="sec17">
        <title>Data availability</title>
        <p>All of the data that support the findings of this study are available in the main text.</p>
      </sec>
    </sec>
  </back>
</article>
