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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id><journal-title-group>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2026.1667816</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>A nomogram prediction model for plastic bronchitis in children with refractory <italic>Mycoplasma pneumoniae</italic> pneumonia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>He</surname><given-names>Hongcai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Kuang</surname><given-names>Ziyang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3136984/overview"/><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Zhongfa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Rao</surname><given-names>Guolin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Xiong</surname><given-names>Chen</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3378827/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Lu</surname><given-names>Liqun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/869728/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Yang</surname><given-names>Changqiang</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2389604/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Song</surname><given-names>Yue</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2563369/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
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<aff id="aff1"><label>1</label><institution>Department of Pediatrics, The Third Affiliated Hospital of Chengdu Medical College, People&#x0027;s Hospital of Pi County</institution>, <city>Chengdu</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Pediatrics, The First Affiliated Hospital of Chengdu Medical College</institution>, <city>Chengdu</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Cardiology, The First Affiliated Hospital of Chengdu Medical College</institution>, <city>Chengdu</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Changqiang Yang <email xlink:href="mailto:2606409599@qq.com">2606409599@qq.com</email> Yue Song <email xlink:href="mailto:woshisongyueyue@163.com">woshisongyueyue@163.com</email></corresp>
<fn fn-type="equal" id="an1"><label>&#x2020;</label><p>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-31"><day>31</day><month>03</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2026</year></pub-date>
<volume>14</volume><elocation-id>1667816</elocation-id>
<history>
<date date-type="received"><day>17</day><month>07</month><year>2025</year></date>
<date date-type="rev-recd"><day>11</day><month>03</month><year>2026</year></date>
<date date-type="accepted"><day>16</day><month>03</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 He, Kuang, Zhang, Rao, Xiong, Lu, Yang and Song.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>He, Kuang, Zhang, Rao, Xiong, Lu, Yang and Song</copyright-holder><license><ali:license_ref start_date="2026-03-31">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p></license>
</permissions>
<abstract><sec><title>Objective</title>
<p>To determine the risk factors for plastic bronchitis (PB) in children diagnosed with <italic>Mycoplasma Pneumoniae</italic> Pneumonia (RMPP) and facilitate early intervention.</p>
</sec><sec><title>Methods</title>
<p>A retrospective study of 205 hospitalized children diagnosed with RMPP in two tertiary hospitals was conducted from January 2023 to May 2025. The children were divided into the PB group and non-PB group. Clinical characteristics, laboratory indices, pulmonary imaging findings, and treatment approaches were compared between the two groups. A nomogram model was established based on logistic regression to assess the risk of PB in children infected with RMPP.</p>
</sec><sec><title>Results</title>
<p>A total of 52 patients (25.4&#x0025;) were included in the PB group. The nomogram model constructed in this study indicated that three risk factors- C-reactive protein (CRP)&#x2009;&#x003E;&#x2009;20&#x2005;mg/L, pleural effusion, and high Lactate Dehydrogenase (LDH) levels- could be used for the early identification of PB in children with RMPP. The area under the receiver operating characteristic curve of the prediction model was 0.783 (95&#x0025;CI: 0.71&#x2013;0.86). The Hosmer&#x2013;Lemeshow goodness-of-fit test demonstrated the good calibration of the nomogram [(<italic>P</italic>&#x2009;&#x003D;&#x2009;0.408, R<sup>2</sup>&#x2009;&#x003D;&#x2009;8.269)]. Decision curve analysis showed that the model had clinical value.</p>
</sec><sec><title>Conclusions</title>
<p>Early identification of these risk factors (CRP &#x003E; 20&#x2005;mg/L, pleural effusion, and elevated LDH) may facilitate timely bronchoscopic examination in children with RMPP at high risk of PB, potentially contributing to improved clinical management.</p>
</sec>
</abstract>
<kwd-group>
<kwd>children</kwd>
<kwd><italic>Mycoplasma pneumoniae</italic> pneumonia</kwd>
<kwd>nomogram model</kwd>
<kwd>plastic bronchitis</kwd>
<kwd>predictive factors</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The authors declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Open Fund of Development and Regeneration Key Laboratory of Sichuan Province (Grant No. 24LHFYSZ1-43).</funding-statement></funding-group><counts>
<fig-count count="4"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="24"/><page-count count="8"/><word-count count="0"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Pediatric Critical Care</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p><italic>Mycoplasma pneumoniae</italic> (MP) is a major pathogen causing community-acquired pneumonia in children, especially in school-age children, with an incidence rate of 28&#x0025;&#x2013;50&#x0025; (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). Refractory <italic>Mycoplasma pneumoniae</italic> pneumonia (RMPP) is defined as persistent fever and radiographic progression despite adequate macrolide treatment. This condition has received increasing attention and poses significant clinical challenges (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). RMPP is associated with several severe complications, including pleural effusion, pulmonary embolism, pulmonary necrosis, and particularly plastic bronchitis(PB) (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). PB, a rare and severe pulmonary disease in children, is primarily diagnosed through bronchoscopy. It involves the formation of obstructive mucous casts within the airways, leading to symptoms such as atelectasis and dyspnea, and may cause severe complications such as respiratory failure or death (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). The emergence of RMPP has further complicated treatment and is increasingly linked to the development of PB (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). The pathogenesis of PB is thought to involve intense inflammation, airway injury, impaired mucociliary clearance, and viscous secretions (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). With the increasing application of bronchoscopy in severe pneumonia, more and more cases of RMPP complicated with PB have been identified (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Early identification of PB in children with RMPP is crucial for timely bronchoscopic intervention to remove the casts, thereby improving outcomes and reducing adverse prognoses (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). However, predicting the occurrence of PB in RMPP patients remains challenging. This study aimed to identify the risk factors for PB in RMPP and develop a practical predictive nomogram based on clinical characteristics to facilitate early diagnosis and intervention.</p>
</sec>
<sec id="s2"><title>Method</title>
<sec id="s2a"><title>Study subjects</title>
<p>This study has been approved by the ethics committee [Approval number: 2025(028)]. Written informed consent was obtained from at least one guardian of each child in the study. Subjects with RMPP who were hospitalized at the first and third affiliated hospital of Chengdu medical college from January 2023 to May 2025 and met the following diagnostic criteria for RMPP were included: (1) aged &#x003C; 18 years; (2) clinical respiratory manifestations and signs: including fever, cough or wheezing, with or without abnormal auscultation findings; (3) laboratory tests: positive serological detection of MP immunoglobulin M and positive MP PCR in nasopharyngeal swab samples or bronchoalveolar lavage fluid; (4) imaging tests: chest CT scan showing inflammatory infiltration or consolidation; (5) undergoing flexible bronchoscope (FB); (6) persistent fever (axillary temperature &#x2265; 38.5&#x2005;&#x00B0;C), with continuous progression of clinical symptoms and chest imaging signs despite conventional macrolide antibiotic use for 7 days or longer. The diagnostic criteria for RMPP were based on the guidelines for the diagnosis and treatment of RMPP in Children (2023 Edition) (<xref ref-type="bibr" rid="B12">12</xref>) and the expert consensus on the diagnosis and treatment of Macrolide-Resistant MPP in Children (<xref ref-type="bibr" rid="B13">13</xref>). Based on FB result, the enrolled patients were divided into the PB group and the non-PB group according to whether obstructive mucous casts were formed within the bronchi. <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref> showed the discovery in an 8-year-old boy with RMPP under FB (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>).</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>The discovery of an 8 -year-old boy with RMPP. <bold>(A)</bold> The chest CT scan upon admission. The chest CT showed large areas of consolidation. <bold>(B)</bold> FB revealed phlegm clots blocking the bronchus. <bold>(C)</bold> The plastic cast blocking the bronchus was removed. <bold>(D)</bold> The HE staining of lung indicated significant necrosis of the mucosa (200&#x00D7;).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-14-1667816-g001.tif"><alt-text content-type="machine-generated">Panel A shows a CT scan of the chest displaying an abnormal mass in the left lung. Panel B is a bronchoscopic view with a visible endobronchial lesion and a biopsy tool in contact. Panel C displays a clinical specimen in a petri dish on a blue sterile field, with a pale, thread-like structure. Panel D presents a histopathology slide stained with hematoxylin and eosin, revealing complex tissue architecture and cellular detail under a microscope.</alt-text>
</graphic>
</fig>
<p>The exclusion criteria were as follows: (1) patients with chronic lung diseases, pulmonary tuberculosis, primary or secondary immunodeficiency; (2) patients with incomplete clinical data.</p>
</sec>
<sec id="s2b"><title>Data collection</title>
<p>Data on general information (sex, age, distribution of age), clinical manifestations (such as duration of fever and cough, chest pain, wheezing, abdominal pain, diarrhea, moist rales, rhonchi, cyanosis) signs, laboratory tests (routine blood tests, inflammatory markers and blood biochemistry), pulmonary imaging (consolidation, bronchiectasis, pleural effusion), FB findings, and treatment were collected at admission.</p>
</sec>
<sec id="s2c"><title>Statistical analysis</title>
<p>SPSS software (V23.0, IBM, New York, USA) and R software (V.4.4.2, R Foundation for Statistical Computing, Vienna, Austria) were used for all statistical analyses. Data from both centers were pooled for further analysis. Normally distributed continuous data were presented as means&#x2009;&#x00B1;&#x2009;standard. Categorical variables were expressed as percentages. The demographic characteristics, clinical manifestation and treatments were compared using Student&#x0027;s t-test, or the chi-square test. Logistic regression analysis was used for correlation analysis. To assess multicollinearity among candidate variables, variance inflation factor was calculated. Based on the results of the previous multivariate analysis, a nomogram was constructed. The discrimination and calibration of the nomogram were evaluated using the area under the receiver operating characteristic curve (AUC), the Hosmer&#x2013;Lemeshow goodness-of-fit test, and the calibration plot. The decision curve analysis (DCA) was performed to assess the clinical usefulness of the predictive models. A ROC curve was constructed, and bootstrap resampling was repeated 1,000 times to internally verify the nomogram. <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Demographic characteristics</title>
<p>A total of 205 children with RMPP met the inclusion criteria, including 52 cases in the PB group and 153 cases in the non-PB group (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). The average age in the PB group was (7.88&#x2009;&#x00B1;&#x2009;2.61) years, higher than that in the non-PB group, which was (6.89&#x2009;&#x00B1;&#x2009;2.48) years. The age distribution showed that the proportion of children aged 1&#x2013;5 years in the PB group (21.2&#x0025;) was lower than that in the non-PB group (37.3&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.033), while the proportion of children aged 10&#x2013;13 years in the PB group (23.0&#x0025;) was significantly higher than that in the non-PB group (10.5&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.022). There was no statistically significant difference in gender between the two groups (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Flowchart of the study population.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-14-1667816-g002.tif"><alt-text content-type="machine-generated">Flowchart illustrating study enrollment: From 240 children with RMPP undergoing FB, 35 were excluded, resulting in 205 enrolled. These were split into 52 with PB and 153 without PB, leading to logistic regression analysis and a nomogram prediction model.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>The clinical features of patients with or without plastic bronchitis caused by RMPP.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Non-PB group<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;153)</th>
<th valign="top" align="center">PB group<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;52)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex (F/M)</td>
<td valign="top" align="center">74/79</td>
<td valign="top" align="center">30/22</td>
<td valign="top" align="center">0.245</td>
</tr>
<tr>
<td valign="top" align="left">Age (mean&#x2009;&#x00B1;&#x2009;SD,years)</td>
<td valign="top" align="center">6.89&#x2009;&#x00B1;&#x2009;2.48</td>
<td valign="top" align="center">7.88&#x2009;&#x00B1;&#x2009;2.61</td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="left">Malnutrition [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">7 (4.5)</td>
<td valign="top" align="center">3 (5.8)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Distribution of age</th>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;5 years [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">57 (37.3)</td>
<td valign="top" align="center">11 (21.2)</td>
<td valign="top" align="center">0.033</td>
</tr>
<tr>
<td valign="top" align="left">6&#x2013;9 years [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">80 (52.3)</td>
<td valign="top" align="center">29 (55.8)</td>
<td valign="top" align="center">0.664</td>
</tr>
<tr>
<td valign="top" align="left">10&#x2013;13 years [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">16 (10.5)</td>
<td valign="top" align="center">12 (23.0)</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m2)</td>
<td valign="top" align="center">16.1&#x2009;&#x00B1;&#x2009;2.3</td>
<td valign="top" align="center">15.8&#x2009;&#x00B1;&#x2009;2.9</td>
<td valign="top" align="center">0.442</td>
</tr>
<tr>
<td valign="top" align="left">Duration of fever (days)</td>
<td valign="top" align="center">3.4&#x2009;&#x00B1;&#x2009;2.7</td>
<td valign="top" align="center">4.6&#x2009;&#x00B1;&#x2009;2.7</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Peak fever (&#x2005;&#x00B0;C)</th>
</tr>
<tr>
<td valign="top" align="left">Low fever (37.3&#x2013;38.0)</td>
<td valign="top" align="center">46 (30.1)</td>
<td valign="top" align="center">8 (15.4)</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr>
<td valign="top" align="left">Moderate fever (38.1&#x2013;39.0)</td>
<td valign="top" align="center">51 (33.3)</td>
<td valign="top" align="center">10 (19.2)</td>
<td valign="top" align="center">0.055</td>
</tr>
<tr>
<td valign="top" align="left">High fever (39.1&#x2013;42.0)</td>
<td valign="top" align="center">56 (36.6)</td>
<td valign="top" align="center">34 (65.4)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Symptoms</th>
</tr>
<tr>
<td valign="top" align="left">Cough [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">153 (100)</td>
<td valign="top" align="center">52 (100)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Chest pain [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">2 (1.3)</td>
<td valign="top" align="center">3 (5.8)</td>
<td valign="top" align="center">0.200</td>
</tr>
<tr>
<td valign="top" align="left">Wheezing [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">2 (1.3)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Abdominal pain [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">2 (1.3)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Diarrhea [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">18 (11.8)</td>
<td valign="top" align="center">1 (1.9)</td>
<td valign="top" align="center">0.066</td>
</tr>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Physical signs</th>
</tr>
<tr>
<td valign="top" align="left">Moist rales [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">106 (69.3)</td>
<td valign="top" align="center">36 (69.2)</td>
<td valign="top" align="center">0.995</td>
</tr>
<tr>
<td valign="top" align="left">Rhonchi [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">30 (19.6)</td>
<td valign="top" align="center">6 (11.5)</td>
<td valign="top" align="center">0.203</td>
</tr>
<tr>
<td valign="top" align="left">Cyanosis [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">18 (11.8)</td>
<td valign="top" align="center">8 (15.4)</td>
<td valign="top" align="center">0.498</td>
</tr>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Blood testing</th>
</tr>
<tr>
<td valign="top" align="left">White blood cell (&#x00D7; 10<sup>9</sup>/L)</td>
<td valign="top" align="center">8.4&#x2009;&#x00B1;&#x2009;3.8</td>
<td valign="top" align="center">8.0&#x2009;&#x00B1;&#x2009;2.8</td>
<td valign="top" align="center">0.534</td>
</tr>
<tr>
<td valign="top" align="left">Neutrophil (&#x0025;)</td>
<td valign="top" align="center">59.0&#x2009;&#x00B1;&#x2009;12.0</td>
<td valign="top" align="center">61.9&#x2009;&#x00B1;&#x2009;11.6</td>
<td valign="top" align="center">0.123</td>
</tr>
<tr>
<td valign="top" align="left">Eosinophils &#x2265; 3&#x0025;</td>
<td valign="top" align="center">14 (1.1)</td>
<td valign="top" align="center">6 (11.5)</td>
<td valign="top" align="center">0.616</td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin(g/L)</td>
<td valign="top" align="center">129.1&#x2009;&#x00B1;&#x2009;11.8</td>
<td valign="top" align="center">130.7&#x2009;&#x00B1;&#x2009;12.6</td>
<td valign="top" align="center">0.612</td>
</tr>
<tr>
<td valign="top" align="left">Platelet (&#x00D7; 10<sup>9</sup>/L)</td>
<td valign="top" align="center">286.9&#x2009;&#x00B1;&#x2009;111.6</td>
<td valign="top" align="center">268.1&#x2009;&#x00B1;&#x2009;103.4</td>
<td valign="top" align="center">0.288</td>
</tr>
<tr>
<td valign="top" align="left">CRP &#x003E; 20&#x2005;mg/L</td>
<td valign="top" align="center">31 (20.3)</td>
<td valign="top" align="center">24 (46.2)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">D-dimer &#x2264; 0.5&#x2005;mg/L</td>
<td valign="top" align="center">91 (59.5)</td>
<td valign="top" align="center">29 (55.8)</td>
<td valign="top" align="center">0.639</td>
</tr>
<tr>
<td valign="top" align="left">0.5&#x2005;mg/L&#x2009;&#x003C;&#x2009;D-dimer &#x2264; 1.0&#x2005;mg/L</td>
<td valign="top" align="center">49 (32.0)</td>
<td valign="top" align="center">13 (25.0)</td>
<td valign="top" align="center">0.341</td>
</tr>
<tr>
<td valign="top" align="left">D-dimer &#x003E; 1.0&#x2005;mg/L</td>
<td valign="top" align="center">13 (8.5)</td>
<td valign="top" align="center">10 (19.2)</td>
<td valign="top" align="center">0.034</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">14.3&#x2009;&#x00B1;&#x2009;7.8</td>
<td valign="top" align="center">14.9&#x2009;&#x00B1;&#x2009;9.0</td>
<td valign="top" align="center">0.630</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">32.6&#x2009;&#x00B1;&#x2009;7.6</td>
<td valign="top" align="center">32.9&#x2009;&#x00B1;&#x2009;8.2</td>
<td valign="top" align="center">0.801</td>
</tr>
<tr>
<td valign="top" align="left">LDH (U/L)</td>
<td valign="top" align="center">293.7&#x2009;&#x00B1;&#x2009;76.2</td>
<td valign="top" align="center">310.1&#x2009;&#x00B1;&#x2009;79.5</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Albumin (g/L)</td>
<td valign="top" align="center">45.1&#x2009;&#x00B1;&#x2009;2.9</td>
<td valign="top" align="center">45.1&#x2009;&#x00B1;&#x2009;2.4</td>
<td valign="top" align="center">0.960</td>
</tr>
<tr>
<td valign="top" align="left">ALP (U/L)</td>
<td valign="top" align="center">183.5&#x2009;&#x00B1;&#x2009;54.1</td>
<td valign="top" align="center">174.6&#x2009;&#x00B1;&#x2009;41.6</td>
<td valign="top" align="center">0.280</td>
</tr>
<tr>
<td valign="top" align="left">ESR (mm/s)</td>
<td valign="top" align="center">26.4&#x2009;&#x00B1;&#x2009;10.6</td>
<td valign="top" align="center">30.1&#x2009;&#x00B1;&#x2009;8.8</td>
<td valign="top" align="center">0.046</td>
</tr>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Pulmonary imaging</th>
</tr>
<tr>
<td valign="top" align="left">Consolidation [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">144 (94.1)</td>
<td valign="top" align="center">50 (96.2)</td>
<td valign="top" align="center">0.836</td>
</tr>
<tr>
<td valign="top" align="left">Atelectasis [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">13 (8.5)</td>
<td valign="top" align="center">5 (9.6)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Bronchiectasis [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">2 (1.3)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Pleural effusion [<italic>n</italic>(&#x0025;)]</td>
<td valign="top" align="center">16 (10.5)</td>
<td valign="top" align="center">19 (36.5)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>CRP, C-reactive protein; LDH, lactate dehydrogenase; ALT, alanine transaminase; AST, aspartate transaminase; ALP, alkaline phosphatase; ESR, erythrocyte sedimentation rate.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><title>Clinical manifestation</title>
<p>The duration of fever in the PB group was longer than that in the non-PB group (4.6&#x2009;&#x00B1;&#x2009;2.7 days vs. 3.4&#x2009;&#x00B1;&#x2009;2.7 days; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005). The proportion of patients with high fever (39.1&#x2013;42.0&#x2005;&#x00B0;C) in the PB group was higher than that in the non-PB group (65.4&#x0025; vs. 36.6&#x0025;; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001). There were no statistically significant differences between the two groups in the incidence of cough, chest pain, as well as the presence of physical signs such as moist rales, rhonchi, pulmonary consolidation, and atelectasis (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
</sec>
<sec id="s3c"><title>Laboratory tests</title>
<p>There were significant differences in LDH levels [310.1&#x2009;&#x00B1;&#x2009;79.5vs. 293.7&#x2009;&#x00B1;&#x2009;76.2 (U/L), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001]. Compared to non-PB groups, more patients with CRP &#x003E; 20&#x2005;mg/L and D-dimer &#x003E; 1.0&#x2005;mg/L in PB group</p>
<p>(<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). There was no significant difference in the white blood cell count, neutrophil, eosinophils, hemoglobin, platelet, alanine aminotransferase and aspartate aminotransferase between groups (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
</sec>
<sec id="s3d"><title>Pulmonary imaging</title>
<p>Compared with non-PB group, PB group has higher pleural effusion rate [19 (36.5) vs. 16 (10.5), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001]. There were no differences in the consolidation rate, atelectasis and bronchiectasis between the groups (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
</sec>
<sec id="s3e"><title>Treatment regimens</title>
<p>The distribution of hospitalization time and bronchoscopy frequency was similar between the two groups. Regarding the use of antibiotics and second-line drugs, there was no significant difference in the proportion of macrolide use between the non-PB group and the PB group (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.05). However, the proportion of second-line drugs (such as tetracyclines and fluoroquinolones) used in the PB group was showed a significant elevation compared to the in the non-PB group (50.0&#x0025; vs. 30.7&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.012). Additionally, the proportion of corticosteroid use in the PB group was significantly higher than that in the non-PB group (98.1&#x0025; vs. 86.3&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.018) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>The treatment of patients with or without plastic bronchitis caused by RMPP.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Non-PB group<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;153)</th>
<th valign="top" align="center">PB group<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;52)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Hospital stay (days)</th>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;7 [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">21 (13.7)</td>
<td valign="top" align="center">7 (13.5)</td>
<td valign="top" align="center">0.962</td>
</tr>
<tr>
<td valign="top" align="left">8&#x2013;14 [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">128 (83.7)</td>
<td valign="top" align="center">44 (84.6)</td>
<td valign="top" align="center">0.871</td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;14 [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">4 (2.6)</td>
<td valign="top" align="center">1 (1.9)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Bronchoscopy frequency</th>
</tr>
<tr>
<td valign="top" align="left">1 [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">148 (97.3)</td>
<td valign="top" align="center">49 (94.2)</td>
<td valign="top" align="center">0.696</td>
</tr>
<tr>
<td valign="top" align="left">2 [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">5 (2.7)</td>
<td valign="top" align="center">3 (5.8)</td>
<td valign="top" align="center">0.696</td>
</tr>
<tr>
<th valign="top" align="left" colspan="4" style="background-color:#d9d9d9">Therapy</th>
</tr>
<tr>
<td valign="top" align="left">Macrolides [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">65 (42.5)</td>
<td valign="top" align="center">18 (34.6)</td>
<td valign="top" align="center">0.318</td>
</tr>
<tr>
<td valign="top" align="left">Second-line drugs [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">47 (30.7)</td>
<td valign="top" align="center">26 (50.0)</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">Corticosteroids [<italic>n</italic> (&#x0025;)]</td>
<td valign="top" align="center">132 (86.3)</td>
<td valign="top" align="center">51(98.1)</td>
<td valign="top" align="center">0.018</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3f"><title>Multivariate regression analysis of PB in patients with RMPP</title>
<p>Variables with a <italic>P</italic>-value &#x003C; 0.1 in the univariate analysis (age, duration of fever, peak fever, CRP &#x003E; 20&#x2005;mg/L, LDH, D-dimer &#x003E; 1.0&#x2005;mg/L, ESR, pleural effusion, and diarrhea) were entered into the multivariate logistic regression model. According to the collinearity diagnosis, the tolerance and the variance inflation factor of variables in the logistic regression model were &#x003E;0.1 and &#x003C;10, respectively. Furthermore, according to the principle of collinearity diagnosis (<xref ref-type="bibr" rid="B14">14</xref>), no collinearity among the independent variables was observed in this study (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Collinear diagnosis of the independent variables (<italic>n</italic>&#x2009;&#x003D;&#x2009;205).</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Tolerance</th>
<th valign="top" align="center">Variance inflation factor</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">0.869</td>
<td valign="top" align="center">1.150</td>
</tr>
<tr>
<td valign="top" align="left">Duration of fever</td>
<td valign="top" align="center">0.737</td>
<td valign="top" align="center">1.357</td>
</tr>
<tr>
<td valign="top" align="left">Peak fever</td>
<td valign="top" align="center">0.724</td>
<td valign="top" align="center">1.381</td>
</tr>
<tr>
<td valign="top" align="left">CRP &#x003E; 20&#x2005;mg/L</td>
<td valign="top" align="center">0.842</td>
<td valign="top" align="center">1.187</td>
</tr>
<tr>
<td valign="top" align="left">LDH</td>
<td valign="top" align="center">0.690</td>
<td valign="top" align="center">1.449</td>
</tr>
<tr>
<td valign="top" align="left">D-dimer &#x003E; 1.0&#x2005;mg/L</td>
<td valign="top" align="center">0.836</td>
<td valign="top" align="center">1.197</td>
</tr>
<tr>
<td valign="top" align="left">ESR</td>
<td valign="top" align="center">0.865</td>
<td valign="top" align="center">1.156</td>
</tr>
<tr>
<td valign="top" align="left">Pleural effusion</td>
<td valign="top" align="center">0.909</td>
<td valign="top" align="center">1.100</td>
</tr>
<tr>
<td valign="top" align="left">Diarrhea</td>
<td valign="top" align="center">0.811</td>
<td valign="top" align="center">1.233</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Finally, multivariate stepwise logistic regression analysis identified CRP &#x003E; 20&#x2005;mg/L (OR&#x2009;&#x003D;&#x2009;3.389, 95&#x0025; CI: 1.474&#x2013;7.796), pleural effusion (OR&#x2009;&#x003D;&#x2009;4.571, 95&#x0025; CI: 1.751&#x2013;11.933), and LDH (per unit increase: OR&#x2009;&#x003D;&#x2009;1.005, 95&#x0025; CI: 1.001&#x2013;1.010; per 10 U/L increase: OR&#x2009;&#x003D;&#x2009;1.051, 95&#x0025; CI: 1.011&#x2013;1.093) as independent risk factors for the development of PB in patients with RMPP (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>Multi-factorial stepwise logistic regression analysis.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center"><italic>&#x03B2;</italic></th>
<th valign="top" align="center">S.E.</th>
<th valign="top" align="center"><italic>P</italic></th>
<th valign="top" align="center">OR</th>
<th valign="top" align="center">95&#x0025;CI</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CRP&#x003E;20&#x2005;mg/L</td>
<td valign="top" align="center">1.221</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">3.389</td>
<td valign="top" align="center">1.474&#x2013;7.796</td>
</tr>
<tr>
<td valign="top" align="left">Pleural effusion</td>
<td valign="top" align="center">1.52</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">4.571</td>
<td valign="top" align="center">1.751&#x2013;11.933</td>
</tr>
<tr>
<td valign="top" align="left">LDH</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">1.005</td>
<td valign="top" align="center">1.001&#x223C;1.010</td>
</tr>
<tr>
<td valign="top" align="left">Constant</td>
<td valign="top" align="center">&#x2212;4.365</td>
<td valign="top" align="center">1.088</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">0.002- 0.107</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3g"><title>Nomogram prediction model of PB in patients with RMPP</title>
<p>A nomogram for predicting the risk of PB was constructed based on the three independent risk factors identified by logistic regression analysis (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). The ROC curve for the nomogram was 0.783, with a cut-off value of 0.172 yielding a sensitivity of 84.6&#x0025; and a specificity of 62.1&#x0025; (<xref ref-type="fig" rid="F4">Figure&#x00A0;4A</xref>). Higher total scores derived from the nomogram, calculated by summing the assigned points for each risk factor, were associated with an increased probability of PB. The Hosmer&#x2013;Lemeshow goodness-of-fit test yielded a nonsignificant result (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.408, R<sup>2</sup>&#x2009;&#x003D;&#x2009;8.269), suggesting adequate model calibration. Calibration plots demonstrated good agreement between predicted probabilities and observed outcomes (<xref ref-type="fig" rid="F4">Figure&#x00A0;4B</xref>). Decision curve analysis further confirmed the clinical utility of the model (Brier score&#x003D;0.154, Emax&#x003D;0.136; <xref ref-type="fig" rid="F4">Figure&#x00A0;4C</xref>).</p>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>Nomogram of regression equations for calculating the risk score and predicting the risk of PB in children with RMPP. The variables with <italic>P</italic>&#x2009;&#x003C;&#x2009;0.1 in univariate analysis were included in the multivariate regression model for regression analysis. Finally, multivariate stepwise regression analysis was conducted to examine the risk factors for PB.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-14-1667816-g003.tif"><alt-text content-type="machine-generated">Graphic of a nomogram with horizontal scales for Points, CRP, LDH, pleural effusion, Total Points, and Risk. Each axis has labeled tick marks, providing a visual tool to estimate risk using these parameters.</alt-text>
</graphic>
</fig>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p>ROC, calibration, and DCA evaluating the predictive performance of PB in children with <italic>Mycoplasma pneumoniae</italic> pneumonia. <bold>(A)</bold> ROC curve analysis for the nomogram model. <bold>(B)</bold> Calibration curves comparing predicted risk (horizontal axis) and observed outcomes (vertical axis). Predictors included pleural effusion, CRP &#x003E;20&#x2005;mg/L, and LDH levels (enclosed in brackets). <bold>(C)</bold> DCA assessing clinical utility of the model. The straight line represents the assumption that all patients develop PB; the horizontal line denotes the assumption that no patient will develop PB.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-14-1667816-g004.tif"><alt-text content-type="machine-generated">Panel A displays a receiver operating characteristic (ROC) curve with area under the curve of zero point seven eight three, sensitivity of eighty-four point six zero, specificity of sixty-two point one zero, and confidence interval of zero point seven one to zero point eight six. Panel B is a calibration plot with apparent, bias-corrected, and ideal lines comparing predicted probabilities and observed probabilities. Panel C shows a decision curve with net benefit on the y-axis and high risk threshold and cost-to-benefit ratio on the x-axes, comparing a model, all, and none strategies.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>RMPP is typically characterized by a long course of disease, poor treatment outcomes, and numerous complications, which can be life-threatening in severe patients. Recently, the incidence of RMPP has increased by as much as 40&#x0025;, highlighting the growing importance of early detection and management of complications (<xref ref-type="bibr" rid="B4">4</xref>). PB, recognized as one of the serious complications of RMPP, presents with a gradual onset and a significantly high mortality rate. Therefore, our study aims to develop a nomogram prediction model for the occurrence of PB in RMPP based on clinical data, facilitating early intervention and providing clinical guidance.</p>
<p>Common clinical manifestations of RMPP include cough, persistent fever, and chest pain, which are consistent with the symptoms observed in children with RMPP complicated with PB in this study. Our further analysis indicates that both the peak temperature and duration of fever in the PB group are higher than those in the non-PB group, suggesting a more severe inflammatory response in the PB group (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B8">8</xref>), Additionally, both local immune responses and systemic immune-inflammatory reactions in the PB group are stronger than those in the non-PB group (<xref ref-type="bibr" rid="B3">3</xref>). Furthermore, ZHANG et al. have identified that in children with RMPP experiencing high fever, the accelerated evaporation of bodily fluids can lead to moisture loss in the respiratory tract, resulting in thickened mucus secretions in the trachea and fostering the development of PB (<xref ref-type="bibr" rid="B4">4</xref>). Moreover, we found that the average age of children in the PB group is higher than that in the non-PB group [(7.88&#x2009;&#x00B1;&#x2009;2.61) vs. (6.89&#x2009;&#x00B1;&#x2009;2.48) years], mainly occurring in preschool children. The research conducted by Wang Z et al. aligns closely with our findings, suggesting that age is a critical factor influencing the prognosis of RMPP (<xref ref-type="bibr" rid="B3">3</xref>). The reason may be potentially linked to the underdeveloped immune responses in preschoolers. A robust cellular immune response may lead to necrosis of airway epithelial cells and significant ciliary dysfunction in children with RMPP, thereby impairing airway immune function and mucociliary clearance, which increases the likelihood of mucus plug formation (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Our study suggested that levels of CRP, LDH, and ESR in the PB group are significantly higher than those in the non-PB group (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). Multivariate regression analysis identifies CRP &#x003E; 20&#x2005;mg/L, pleural effusion, and elevated LDH as independent risk factors for PB in children with RMPP. CRP levels serve as effective markers for monitoring disease progression, assessing prognosis, and reflecting the severity of the inflammatory response linked to MP infection. Gong et al. identified CRP &#x003E; 40&#x2005;mg/L as a risk factor for RMPP (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>), while Zhang et al. indicated that CRP &#x2265; 16.5&#x2005;mg/L is a risk factor (<xref ref-type="bibr" rid="B10">10</xref>). These cut-off values are different from the results of our study. This difference may be related to factors such as bacterial infection in the research subjects, early intervention to inhibit the inflammatory response, and detection timing. In the early phases of RMPP infection, CRP levels may not peak. Therefore, dynamic monitoring of CRP is crucial for the early identification of PB. An ongoing rise in CRP necessitates alert regarding the potential onset of PB and prompt intervention with FB. Additionally, LDH, an enzyme that facilitates the conversion of pyruvate to lactic acid, is released into the serum following cellular damage and is frequently utilized as a key indicator for inflammatory diseases in clinical practice (<xref ref-type="bibr" rid="B10">10</xref>). For PB in children with RMPP, an excessive pulmonary inflammatory response increases cell membrane permeability, leading to augmented release of intracellular LDH into the bloodstream (<xref ref-type="bibr" rid="B15">15</xref>). Some recent study found elevated LDH levels as critical predictors of RMPP occurrence (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>), and our study further found that increased LDH is also an independent risk factor for PB in children with RMPP. In addition, the increase in LDH activity is related to the severity of pulmonary inflammation, and LDH can be used as a marker for glucocorticoid therapy in RMPP (<xref ref-type="bibr" rid="B8">8</xref>), and high LDH levels often indicate poor response to glucocorticoid therapy in RMPP children (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Imaging features provide an important basis for clinical judgment of pulmonary conditions and complications in RMPP children. Chest imaging findings in RMPP children often show inflammatory infiltration, atelectasis, pleural effusion, and may progress to bronchiolitis obliterans (<xref ref-type="bibr" rid="B17">17</xref>). Our findings showed that pleural effusion is an independent risk factor for PB in RMPP children, aligning with results from various studies (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). The reasons why RMPP complicated with PB is prone to pleural effusion may be as follows: RMPP children have severe systemic inflammatory responses, and cytokine storms promote neutrophil infiltration, aggravating the pleural reaction and leading to significant exudation and pleural effusion. In children in the PB group, airway obstruction due to mucus plugging results in more intense pleural responses, increasing the likelihood of pleural effusion (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>We established a nomogram prediction model based on three indicators, namely CRP &#x003E; 20&#x2005;mg/L, pleural effusion, and elevated LDH. This model demonstrated an AUC ROC of 0.783 (95&#x0025; CI 0.71&#x2013;0.86), indicating strong reliability. Zhang et al. constructed a nomogram model based on 5 risk factors (persistent fever before FB, extra-pulmonary complications, pleural effusion, duration of cough, and LDH level) for early identification of PB in RMPP children (<xref ref-type="bibr" rid="B21">21</xref>). Shen et al.&#x0027;s study showed that the RMPP nomogram prediction model constructed by fever duration exceeding 10.5 days, pleural effusion, white blood cells &#x003E; 10.13&#x2009;&#x00D7;&#x2009;10<sup>9</sup>/L, neutrophil count &#x003E; 6.43&#x2009;&#x00D7;&#x2009;10<sup>9</sup>/L, CRP &#x003E; 29.45&#x2005;mg/L, LDH &#x003E; 370.50 U/L, neutrophil-to-lymphocyte ratio &#x003E; 3.47, and serum uric acid &#x003C; 170.5 &#x03BC;mol/mL has good predictive performance (<xref ref-type="bibr" rid="B16">16</xref>). The above studies all indicate that inflammatory factors (CRP, LDH) combined with imaging examinations (pleural effusion) can effectively predict early identification of PB caused by RMPP.</p>
<p>This study did not investigate the optimal timing of bronchoscopic intervention. Previous studies have indicated that bronchoscopy in children with PB should be performed earlier than in those without PB, particularly within 4&#x2013;10 days of disease onset, to achieve satisfactory clinical outcomes (<xref ref-type="bibr" rid="B22">22</xref>). Furthermore, evidence suggests that even earlier intervention (e.g., within 12&#x2005;h of admission) may reduce the risk of dyspnea in children with PB caused by Mycoplasma pneumoniae infection (<xref ref-type="bibr" rid="B23">23</xref>). In our study, the PB group exhibited elevated inflammatory markers&#x2014;CRP &#x003E;20&#x2005;mg/L, pleural effusion, and increased LDH levels&#x2014;indicating a pronounced systemic inflammatory response. Although no significant difference was observed in the incidence of secondary fiberoptic bronchoscopy (FB) between the PB and non-PB groups, previous studies have demonstrated that cast removal via bronchoscopy rapidly alleviates respiratory obstruction and inflammation, potentially reducing the need for repeat FB (<xref ref-type="bibr" rid="B24">24</xref>). The lack of a significant difference in our study may be attributable to the limited sample size. Notably, substantial heterogeneity exists across studies regarding the indications and timing of bronchoscopic intervention, which may be influenced not only by variations in disease progression and clinical characteristics but also by clinicians&#x2019; awareness and experience with PB.The optimal clinical threshold for recommending bronchoscopy warrants further investigation.</p>
<p>This study has several limitations: (1) it is a retrospective analysis conducted at two centers, and (2) the sample size is limited, lacking prospective cohorts to validate the nomogram model. And the reliability of the predictive indicators warrants further validation through larger, multi-center, prospective studies.</p>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>The incidence of PB in children with RMPP is 25.4&#x0025;. We established a nomogram prediction model based on three indicators, namely CRP &#x003E; 20&#x2005;mg/L, pleural effusion, and elevated LDH. This nomogram may facilitate early screening of high-risk children in clinical practice, potentially reducing adverse outcomes.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the ethics committee of the First and Third Affiliated Hospital of Chengdu Medical College [Approval number: 2025(028)]. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin. Written informed consent was obtained from the individual(s), and minor(s)&#x2019; legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>HH: Conceptualization, Data curation, Investigation, Methodology, Software, Supervision, Visualization, Writing &#x2013; original draft. ZK: Conceptualization, Data curation, Investigation, Methodology, Software, Supervision, Visualization, Writing &#x2013; original draft. ZZ: Conceptualization, Data curation, Investigation, Visualization, Writing &#x2013; original draft. GR: Conceptualization, Data curation, Writing &#x2013; original draft. CX: Conceptualization, Data curation, Writing &#x2013; original draft. LL: Conceptualization, Data curation, Writing &#x2013; original draft. CY: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing. YS: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We would like to thank all patients that participated in the study.</p>
</ack>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s11" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/539092/overview">Etienne Javouhey</ext-link>, Universit&#x00E9; Claude Bernard Lyon 1, France</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/104672/overview">Vladimir Pohanka</ext-link>, Retired, Liptovsk&#x00E1; Teoli&#x010D;ka, Slovakia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1111286/overview">Yankai Meng</ext-link>, The Affiliated Hospital of Xuzhou Medical University, China</p></fn>
</fn-group>
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