ArticleTranslational pediatrics2025
Changes in airway resistance and its correlation with disease severity in children with
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 5 papers.
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5 citing papers in PubMed.
- Development and validation of an early warning score for refractoryTranslational pediatrics · 2026Article
- The cell with many faces: lung macrophage plasticity and function in response to environmental and pathogenic insults.Physiological reviews · 2026Review
- Correlation analysis of FABP3, MCP-4, and CXCL9 levels and myocardial damage in patients with severe pneumonia.Journal of medical biochemistry · 2026Article
- Development of a nomogram for predicting refractoryTranslational pediatrics · 2025Article
- Clinical characteristics and outcomes of macrolide-resistantTranslational pediatrics · 2025Article
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6 authors.
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Abstract
Background: Methods: A total of 96 children with MPP, admitted to Chengdu Women's and Children's Center Hospital from December 2022 to December 2023, were recruited for the study. The children were allocated to the mild MPP (MMPP) group (n=39) and the SMPP group (n=57) based on disease severity. Indices derived from impulse oscillometry (IOS) were compared, and receiver operating characteristic (ROC) curves were generated to assess the predictive value of various indicators for SMPP. Results: The results revealed significant increases in respiratory resistance at 5 Hz (R5), respiratory resistance at 20 Hz (R20), reactance at 5 Hz (X5), and resonant frequency (Fres) in the SMPP group compared to the MMPP group (P<0.05). Compared to the children in the MMPP group, those in the SMPP group had a significantly longer hospital length of stay, and a higher proportion were admitted to the intensive care unit (ICU) and received mechanical ventilation (P<0.05). A positive correlation was found between MPP severity and R5, R20, X5, Fres, and hospital length of stay, of which R5 showed the strongest correlation. The ROC curve analysis indicated that R5 was the most effective predictor of SMPP, with an area under the curve (AUC) indicating good predictive ability [R5 > R20 > hospital length of stay > X5 (0.70)]. R5 had the highest predictive value for SMPP, with a sensitivity of 82.46%, a specificity of 87.18%, a cut-off value of 123.80%, a positive predictive value (PPV) of 90.38%, and a negative predictive value (NPV) of 77.27%. Conclusions: The airway resistance of the children with SMPP was significantly higher than that of the children with MMPP. The primary increase was observed in small airway resistance, which might be accompanied by an increase in large airway resistance, along with a decrease in lung compliance. R5, R20, and X5 were found to be correlated with the severity of MPP, indicating that IOS is a valuable tool for assessing MPP severity.
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