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Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus
Published on: March 6, 2019
Lung Ultrasound Efficacy in Monitoring Post-SARS-CoV-2 Pneumonia and Inflammatory Biomarkers in Pediatric Patients
Ramona Chelcea1, Mihaela Dediu2, Diana Dabica1
1Doctoral School, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Insights
Pediatric Pneumonia Ultrasound Scores (PedPne) and inflammatory biomarkers like IL-6 and dNLR effectively predict pneumonia after SARS-CoV-2 infection in children. These tools can improve diagnosis and management.
Area of Science:
- Pediatric Pulmonology
- Infectious Diseases
- Medical Imaging
- Biomarker Research
Background:
- Significant knowledge gaps exist regarding pediatric pneumonia following SARS-CoV-2 infection.
- Early identification and accurate assessment of pneumonia are critical for effective pediatric patient management.
- The utility of ultrasound scores and inflammatory markers in this context requires further investigation.
Purpose of the Study:
- To evaluate the predictive value of Pediatric Pneumonia Ultrasound Scores (PedPne) for pneumonia development post-SARS-CoV-2.
- To compare the predictive capabilities of PedPne with inflammatory biomarkers, specifically Interleukin-6 (IL-6) and the delta Neutrophil-to-Lymphocyte Ratio (dNLR).
- To assess the association of these markers with pneumonia risk in pediatric patients.
Main Methods:
- A longitudinal observational study involving pediatric patients diagnosed with pneumonia after SARS-CoV-2 infection.
- Tracking of PedPne scores and inflammatory markers (IL-6, dNLR) from admission to 7-day follow-up.
- Statistical analysis including sensitivity, specificity, Area Under the Curve (AUC), and regression analysis for hazard ratios.
Main Results:
- Significant cutoff values were identified: dNLR (1.88, AUC 0.802), IL-6 (6.1 pg/mL, AUC 0.869), and PedPne score (3.3, AUC 0.794).
- IL-6 demonstrated a fourfold increase in pneumonia risk (HR=4.25), dNLR a twofold increase (HR=2.53), and PedPne score a doubling of risk (HR=2.60).
- Neutrophil-to-Lymphocyte Ratio (NLR) showed limited diagnostic performance (AUC 0.485).
Conclusions:
- Pediatric Pneumonia Ultrasound Scores (PedPne), IL-6, and dNLR are significant predictors of pneumonia in children post-COVID-19.
- These markers can enhance diagnostic accuracy for pediatric pneumonia following SARS-CoV-2 infection.
- Integration of PedPne and inflammatory biomarkers into clinical practice is recommended for improved patient management.
Abstract:
Background and Objectives: Recognizing the crucial gaps in our understanding of pediatric pneumonia post-SARS-CoV-2 infection, this study aimed to assess the relationship between Pediatric Pneumonia Ultrasound Scores (PedPne) and inflammatory biomarkers. The primary objective of this study is to evaluate the predictive value of PedPne in comparison with inflammatory biomarkers (IL-6 and dNLR) for the development of pneumonia in pediatric patients following SARS-CoV-2 infection. Materials and Methods: This longitudinal observational study collected data from pediatric patients diagnosed with pneumonia after an acute SARS-CoV2 infection. The study focused on analyzing changes in PedPne scores and inflammatory markers such as IL-6 and dNLR from initial admission to follow-up at 7 days. Statistical analysis involved calculating the sensitivity, specificity, and Area Under the Curve (AUC) for each biomarker, alongside regression analysis to determine their hazard ratios for predicting pneumonia development. Results: The analysis identified significant cutoff values for dNLR at 1.88 (sensitivity 77.0%, specificity 85.7%, AUC 0.802, p < 0.001), IL-6 at 6.1 pg/mL (sensitivity 70.3%, specificity 92.9%, AUC 0.869, p < 0.001), and PedPne score at 3.3 (sensitivity 75.7%, specificity 78.6%, AUC 0.794, p < 0.001). Conversely, NLR showed lower diagnostic performance (AUC 0.485, p = 0.327). Regression analysis further highlighted the strong predictive power of these markers, with IL-6 showing a fourfold increase in pneumonia risk (HR = 4.25, CI: 2.07-9.53, p < 0.001), dNLR indicating more than a twofold increase (HR = 2.53, CI: 1.19-6.97, p = 0.006), and PedPne score associated with more than a doubling of the risk (HR = 2.60, CI: 1.33-5.18, p < 0.001). Conclusions: The study conclusively demonstrated that both PedPne ultrasound scores and specific inflammatory biomarkers such as dNLR and IL-6 are significant predictors of pneumonia development in pediatric patients post-COVID-19 infection. These findings advocate for the integration of these biomarkers in routine clinical assessments to enhance the diagnostic accuracy and management of pneumonia in children following SARS-CoV-2 infection.
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