PLR/SII/D-dimer iron triangle: a novel precision prediction strategy for Mycoplasma pneumoniae pneumonia-associated

Minxuan Feng1, Wenyan Li2, Tao Ai1

  • 1Department of Respiratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Frontiers in Medicine
|March 13, 2026
PubMed

Insights

Plastic bronchitis (PB) is a serious lung infection. A new model combining platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and D-dimer can predict PB occurrence in children more accurately.

Area of Science:

  • Pulmonary Medicine
  • Infectious Diseases
  • Hematology

Background:

  • Plastic bronchitis (PB) is a severe pulmonary disease with poorly established early diagnostic methods.
  • Accurate and early prediction of PB is crucial for timely clinical intervention.

Purpose of the Study:

  • To identify independent risk factors for PB in patients with Mycoplasma pneumoniae pneumonia.
  • To develop a clinically applicable predictive model for early PB diagnosis.

Main Methods:

  • Retrospective analysis of 132 hospitalized patients with Mycoplasma pneumoniae lobar pneumonia.
  • Univariate and multivariate logistic regression analyses to identify risk factors.
  • Development and evaluation of a predictive model using platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and D-dimer via ROC curves.

Main Results:

  • Several factors, including PLR, SII, and D-dimer, were identified as independent risk factors for PB.
  • A combined model of PLR, SII, and D-dimer demonstrated higher predictive value than individual factors.
  • Continued macrolide therapy beyond two courses did not significantly reduce PB occurrence.

Conclusions:

  • PLR, SII, and D-dimer are key indicators for predicting PB in children.
  • The combined model offers improved sensitivity and specificity for PB prediction.
  • This model aids in guiding the duration of macrolide antibiotic therapy.
Abstract

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