ArticleBMC pulmonary medicine2021
Prediction model for prolonged fever in patients with Mycoplasma pneumoniae pneumonia: a retrospective study of 716 pediatric patients.
Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between point mutations of macrolide-resistantFrontiers in pharmacology · 2025Pooled it
- Independent risk factors and predictive model for high hospitalization costs in children with Mycoplasma pneumoniae pneumonia.BMC pediatrics · 2026Article
- [A prediction model for refractory pneumonia in children based on early lung ultrasound findings].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026Article
- Effect of intravenous immunoglobulin combined with azithromycin sequential therapy on clinical outcomes and immune response in children withFrontiers in medicine · 2026Article
- A nursing perspective on bronchoscopic intervention strategies for children with macrolide-unresponsiveFrontiers in medicine · 2026Article
- Development of a nomogram for predicting refractoryTranslational pediatrics · 2025Article
- A Case of Refractory Mycoplasma Pneumonia With Extra-pulmonary Manifestations in a Community-Acquired Setting.Cureus · 2025Article
- The predictive values of C-reactive protein-neutrophil to lymphocyte ratio for the risk of refractoryEpidemiology and infection · 2024Article
- Comparison of the clinical characteristics in parents and their children in a series of family clustered Mycoplasma pneumoniae infections.BMC pulmonary medicine · 2024Article
- Risk association model for atelectasis complication inFrontiers in pediatrics · 2024Article
- Diagnostic value of serum LDH in children with refractory Mycoplasma pneumoniae pneumoniae: A systematic review and meta-analysis.Frontiers in pediatrics · 2023Review
- A Lung Ultrasound-Based Nomogram for the Prediction of RefractoryInfection and drug resistance · 2022Article
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3 authors.
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Abstract
objectiveTo identify patients with Mycoplasma pneumoniae pneumonia (MPP) with a risk of prolonged fever while on macrolides.
methodsA retrospective study was performed with 716 children admitted for MPP. Refractory MPP (RMPP-3) was defined as fever persisting for > 72 h without improvement in clinical and radiologic findings after macrolide antibiotics (RMPP-3) or when fever persisted for > 120 h (RMPP-5) without improvement in clinical and radiologic findings. Radiological data, laboratory data, and fever profiles were compared between the RMPP and non-RMPP groups. Fever profiles included the highest temperature, lowest temperature, and frequency of fever. Prediction models for RMPP were created using the logistic regression method and deep neural network. Their predictive values were compared using receiver operating characteristic curves.
resultsOverall, 716 patients were randomly divided into two groups: training and test cohorts for both RMPP-3 and RMPP-5. For the prediction of RMPP-3, a conventional logistic model with radiologic grouping showed increased sensitivity (63.3%) than the model using laboratory values. Adding laboratory values in the prediction model using radiologic grouping did not contribute to a meaningful increase in sensitivity (64.6%). For the prediction of RMPP-5, laboratory values or radiologic grouping showed lower sensitivities ranging from 12.9 to 16.1%. However, prediction models using predefined fever profiles showed significantly increased sensitivity for predicting RMPP-5, and neural network models using 12 sequential fever data showed a greatly increased sensitivity (64.5%).
conclusionRMPP-5 could not be effectively predicted using initial laboratory and radiologic data, which were previously reported to be predictive. Further studies using advanced mathematical models, based on large-sized easily accessible clinical data, are anticipated for predicting RMPP.
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