Application of Clinical Indicators in the Early Prediction of Refractory <i>Mycoplasma pneumoniae</i> Pneumonia in Children: A Retrospective Study

This study aims to compare the clinical characteristics of children with general Mycoplasma pneumoniae pneumonia (GMPP) and refractory Mycoplasma pneumoniae pneumonia (RMPP), identify predictive factors for RMPP, and construct a predictive nomogram for early clinical prediction of RMPP. This retrospective study included 223 children with Mycoplasma pneumoniae pneumonia admitted to Lishui District People’s Hospital in Nanjing from June 2023 to February 2024. Children were divided into GMPP (171 cases) and RMPP (52 cases) based on treatment response. Baseline characteristics, laboratory findings, and imaging results were compared between groups. Multivariate logistic regression and receiver operating characteristic curve analysis were used to identify and evaluate predictive factors for RMPP. The RMPP group had higher incidence of dyspnea, lung consolidation, atelectasis, and pleural effusion, and longer hospital stays. Laboratory tests showed elevated C-reactive protein, interleukin-6 (IL-6), D-dimer, and lactate dehydrogenase (LDH) levels in RMPP compared with GMPP. Multivariate analysis identified LDH, IL-6, and D-dimer as significant predictive factors for RMPP. The combined model’s area under the curve was 0.946, indicating high prediction efficacy. Elevated levels of LDH, IL-6, and D-dimer are associated with RMPP. The predictive nomogram based on these markers improves RMPP risk assessment, providing a scientific basis for early recognition and personalized treatment.

Institutions

Publication Details

Journal
Clinical Pediatrics
Published
2026-05-19
DOI
https://doi.org/10.1177/00099228261447948
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Clinical Indicators in the Early Prediction of Refractory Mycoplasma pneumoniae Pneumonia in Children: A Retrospective Study

Clinical Pediatrics
Pneumonia and Respiratory Infections
article

Application of Clinical Indicators in the Early Prediction of Refractory Mycoplasma pneumoniae Pneumonia in Children: A Retrospective Study

article en

Abstract

This study aims to compare the clinical characteristics of children with general Mycoplasma pneumoniae pneumonia (GMPP) and refractory Mycoplasma pneumoniae pneumonia (RMPP), identify predictive factors for RMPP, and construct a predictive nomogram for early clinical prediction of RMPP. This retrospective study included 223 children with Mycoplasma pneumoniae pneumonia admitted to Lishui District People’s Hospital in Nanjing from June 2023 to February 2024. Children were divided into GMPP (171 cases) and RMPP (52 cases) based on treatment response. Baseline characteristics, laboratory findings, and imaging results were compared between groups. Multivariate logistic regression and receiver operating characteristic curve analysis were used to identify and evaluate predictive factors for RMPP. The RMPP group had higher incidence of dyspnea, lung consolidation, atelectasis, and pleural effusion, and longer hospital stays. Laboratory tests showed elevated C-reactive protein, interleukin-6 (IL-6), D-dimer, and lactate dehydrogenase (LDH) levels in RMPP compared with GMPP. Multivariate analysis identified LDH, IL-6, and D-dimer as significant predictive factors for RMPP. The combined model’s area under the curve was 0.946, indicating high prediction efficacy. Elevated levels of LDH, IL-6, and D-dimer are associated with RMPP. The predictive nomogram based on these markers improves RMPP risk assessment, providing a scientific basis for early recognition and personalized treatment.

Clinical Pediatrics
Lishui City People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 5%
Pneumonia and Respiratory Infections
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.