ArticleFrontiers in pediatrics2026
Clinical characteristics of
Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
6 authors.
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Abstract
Objective: This study aims to systematically analyze the clinical characteristics of Methods: A retrospective analysis was conducted using clinical data from 500 children diagnosed with MPP who had been admitted to Affiliated Hospital of Yan'an University and Yan'an People's Hospital from January 2023 to December 2024.The patients were divided into mild and severe groups. Statistical analyses involved group comparisons using appropriate tests for continuous and categorical variables, multivariate logistic regression to identify independent risk factors, and receiver operating characteristic (ROC) curves to evaluate predictive performance ( Results: Univariate and multivariate analyses showed that elevated Erythrocyte Sedimentation Rate (ESR), elevated Lactate Dehydrogenase (LDH), lung consolidation and elevated D-dimer were independent risk factors for SMPP, while elevated Albumin(ALB) was an independent protective factor for SMPP (all Conclusion: The nomogram, with its intuitive graphical interface, can transform complex mathematical predictive models into convenient and accessible tools in clinical practice, and has significant clinical predictive value. Clinicians only need to add up the corresponding scores of the patient's indicators (LDH ≈ 22.5 points, ESR ≈ 40.5 points, albumin ≈ 57.5 points, D-dimer ≈ 23.5 points, lung consolidation ≈ 22 points, total ≈ 22.5 + 40.5 + 57.5 + 23.5 + 22 = 166 points), it can quickly assess the risk of developing SMPP [P (SMPP) ≈ 80%-90%], and this tool is particularly applicable in primary care scenarios.
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