Table · dataset · 2026
Supplementary file 1_Prediction models for refractory Mycoplasma pneumoniae pneumonia and corticosteroid treatment escalation in hospitalized children: a retrospective cohort study.docx
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Background<p>Mycoplasma pneumoniae carries a clinically important risk of a refractory course or the need for intensified corticosteroid therapy.
Description
No admission-day prediction tool has been validated to identify children at risk for either outcome.</p>Methods<p>Children admitted to a single tertiary centre with a diagnosis of MPP between January 2022 and June 2025 were enrolled in a retrospective cohort study. Two penalised logistic regression models were constructed from routine admission-day clinical and laboratory variables: one targeting RMPP occurrence across the full eligible cohort (Cohort A) and one targeting corticosteroid escalation within the treated subgroup (Cohort B).
Candidate predictors were screened by LASSO-penalised regression, and model performance was optimism-corrected via bootstrap resampling. Discrimination, calibration, and clinical utility were assessed by corrected AUC, calibration metrics, and decision curve analysis, with nomograms derived from the final coefficients.</p>Results<p>Of 383 Cohort A patients, 106 met criteria for RMPP. Within Cohort B (n = 197), 61 children (31.0%) required treatment escalation.
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The RMPP model retained nine admission-day variables, including pre-admission fever duration, log-transformed CRP, LDH, D-dimer, ferritin, the neutrophil-to-lymphocyte ratio, albumin, male sex, and pleural effusion, and yielded an optimism-corrected AUC of 0.847 (95% CI: 0.810–0.886). The escalation model retained four variables (LDH, NLR, ferritin, and CRP), with a corrected AUC of 0.799 (95% CI: 0.747–0.861). Both models achieved good calibration and positive net clinical benefit across decision thresholds from 5% to 60%.</p>Conclusions<p>Our study offers a quantitative framework for stratifying children with MPP by their risk of refractory disease and treatment intensification.</p>
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Where it is published
- DOI doi.org/10.3389/fped.2026.1913556.s001 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Foetal development and medicine · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Disease 75% · Longitudinal study 65%
Provenance · 1 source records, 19 field assertions
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