<?xml version="1.0"?>
<Articles JournalTitle="Iranian Journal of Allergy, Asthma and Immunology">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Iranian Journal of Allergy, Asthma and Immunology</JournalTitle>
      <Issn>1735-1502</Issn>
      <Volume>0</Volume>
      <Issue>0</Issue>
      <PubDate PubStatus="epublish">
        <Year>2026</Year>
        <Month>10</Month>
        <Day>05</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Application of Subcutaneous Immunotherapy in Pediatric Patients  with Allergic Rhinitis and Analysis of Logistic Regression Models</title>
    <FirstPage>1</FirstPage>
    <LastPage>11</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Shasha</FirstName>
        <LastName>Zhang</LastName>
        <affiliation locale="en_US">Department of Otolaryngology, Sanmen People's Hospital, Taizhou, China</affiliation>
      </Author>
      <Author>
        <FirstName>Xiaoyan</FirstName>
        <LastName>Zhao</LastName>
        <affiliation locale="en_US">Department of Otolaryngology, The People's Hospital of Rongchang District, Chongqing, China</affiliation>
      </Author>
      <Author>
        <FirstName>Juying</FirstName>
        <LastName>Ke</LastName>
        <affiliation locale="en_US">Department of Otolaryngology, Sanmen People's Hospital, Taizhou, China</affiliation>
      </Author>
      <Author>
        <FirstName>Xuefeng</FirstName>
        <LastName>Shen</LastName>
        <affiliation locale="en_US">Department of Otolaryngology, Sanmen People's Hospital, Taizhou, China</affiliation>
      </Author>
      <Author>
        <FirstName>Meisun</FirstName>
        <LastName>Yang</LastName>
        <affiliation locale="en_US">Department of Otolaryngology, Sanmen People's Hospital, Taizhou, China</affiliation>
      </Author>
      <Author>
        <FirstName>Meiai</FirstName>
        <LastName>Xu</LastName>
        <affiliation locale="en_US">Department of Otolaryngology, Sanmen People's Hospital, Taizhou, China</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2026</Year>
        <Month>03</Month>
        <Day>24</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2026</Year>
        <Month>05</Month>
        <Day>17</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">This study aimed to investigate the clinical efficacy of subcutaneous immunotherapy (SCIT) in pediatric patients with allergic rhinitis (AR) and to analyze influencing factors associated with treatment outcomes.
A total of 153 pediatric AR patients receiving SCIT were retrospectively enrolled. Patients were categorized into effective and ineffective groups according to treatment response. Clinical characteristics were collected and compared between groups. Differential variables were subjected to multicollinearity analysis and subsequently included in logistic regression analysis to identify risk factors for poor treatment response. A nomogram prediction model was established, and its predictive performance was internally validated using receiver operating characteristic (ROC) analysis.
Following SCIT treatment, 20 patients (13.07%) showed no therapeutic response, while the overall response rate reached 86.93%. Significant differences between groups were observed in sex, family history, place of residence, total immunoglobulin E (IgE), dust mite-specific IgE, and eosinophil count (EOS). Variance inflation factor (VIF) analysis demonstrated no multicollinearity among variables. Logistic regression identified all above indicators as independent risk factors for treatment failure (OR&gt;1). The nomogram model showed excellent predictive performance, with an AUC of 0.924 (95% CI, 0.856&#x2013;0.991).
SCIT demonstrated favorable clinical efficacy in pediatric AR patients. Gender, family history, place of residence, total IgE, dust mite sIgE, and EOS were independent predictors of poor treatment outcomes and may facilitate early identification of high-risk populations.</abstract>
    <web_url>https://ijaai.tums.ac.ir/index.php/ijaai/article/view/4777</web_url>
    <pdf_url>https://ijaai.tums.ac.ir/index.php/ijaai/article/download/4777/2432</pdf_url>
  </Article>
</Articles>
