ArticleTranslational pediatrics2025
Nomogram construction based on characteristic genes and clinical variables to predict the risk of multiple organ dysfunction syndrome caused by influenza in children.
Article in Translational pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Molecular subtyping and immune microenvironment heterogeneity in pediatric influenza-associated prolonged multiple organ dysfunction syndrome.Translational pediatrics · 2026Article
- Prediction model for risk of multiple organ dysfunction syndrome in wasp sting patients: development and validation.Frontiers in medicine · 2026Article
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Authors and funding
6 authors.
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Abstract
Background: Screening for risk factors for the occurrence of multiple organ dysfunction syndrome (MODS) caused by pediatric influenza is an essential approach to improving treatment interventions and stratifying prognosis. This study aimed to select characteristic genes in MODS samples, demonstrate the correlation between characteristic genes and clinical variables, show the changes in expression levels of characteristic genes in the progression of MODS, and establish a predictive prolonged MODS (PM) line chart model. Methods: We downloaded the pediatric influenza blood messenger ribonucleic acid (mRNA) dataset (GSE236877) from the Gene Expression Omnibus (GEO) database. Multiple logistic regression analyses were employed to screen for risk factors and independent risk factors, and to establish nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of variables on disease occurrence, where a larger area under the curve (AUC) indicates better predictive performance. Calibration curves and the Hosmer-Lemeshow goodness-of-fit test were utilized to describe whether the curves exhibited deviation. Decision curve analysis (DCA) was employed to assess the predictive efficacy of the model. Results: Conclusions:
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