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Updated: Aug 6, 2025

An Efficient Method for Adenovirus Production
Published on: June 10, 2021
A nomogram for predicting severe adenovirus pneumonia in children
Jiamin Zhang1, Changdi Xu1, Shasha Yan1
1Department of Respiratory Medicine, Children's Hospital of Nanjing Medical University, Nanjing, China.
A new scale aids in the early identification of severe adenovirus pneumonia in children. This tool accurately predicts severe cases, improving pediatric respiratory health outcomes.
Area of Science:
- Pediatric infectious diseases
- Respiratory medicine
- Clinical diagnostics
Background:
- Adenoviral pneumonia significantly impacted children's health in China in 2019.
- A need exists for a systematic scale for early identification of pediatric adenoviral pneumonia.
Purpose of the Study:
- To establish and validate an early recognition scale for severe pediatric adenovirus pneumonia.
- To predict the risk of developing severe adenovirus pneumonia in children.
Main Methods:
- Analysis of clinical data from 132 children with adenoviral pneumonia.
- Univariate and multivariate logistic regression analyses of clinical parameters and imaging features.
- Construction of a predictive nomogram using identified scale indicators.
Main Results:
- Significant differences observed in age, respiratory rate, fever duration, neutrophil/lymphocyte percentages, CRP, ALT, and LDH between groups.
- Key indicators identified: respiratory rate, neutrophil percentage, lymphocyte percentage, and LDH.
- The developed scale demonstrated high sensitivity (93.3%) and specificity (92.1%) via ROC curve analysis.
Conclusions:
- The established scale effectively screens for early recognition of severe adenovirus pneumonia in children.
- This predictive tool aids in the early determination of disease severity, facilitating timely intervention.
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