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The utility of risk assessment tools for acute pulmonary embolism in children
Almala P Ergenekon1, Cansu Yilmaz Yegit1, Muruvvet Cenk1
1Division of Pediatric Pulmonology, Marmara University School of Medicine, Istanbul, Turkey.
Insights
Current diagnostic tools like the Pediatric PE Model and PERC rule are not accurate for diagnosing pulmonary embolism (PE) in children. Further research is needed to develop more effective diagnostic approaches for pediatric PE.
Area of Science:
- Pediatric Pulmonology
- Diagnostic Accuracy
- Medical Decision Making
Background:
- Pulmonary embolism (PE) poses a significant life-threatening risk in pediatric patients.
- Accurate diagnosis of PE in children is challenging due to limitations of existing tools.
Purpose of the Study:
- To evaluate the diagnostic utility of the adult-based Pulmonary Embolism Rule-out Criteria (PERC) and the Pediatric PE Model in children.
- To assess the effectiveness of D-dimer testing in conjunction with these clinical decision rules for pediatric PE diagnosis.
Main Methods:
- Retrospective analysis of pediatric patients under 18 years evaluated for PE.
- Application of the PERC rule and Pediatric PE Model to patient cohorts with confirmed PE (n=20) and without PE (n=28).
Main Results:
- The PERC rule showed 60% sensitivity and 46% specificity for pediatric PE.
- The Pediatric PE Model demonstrated 50% sensitivity and 75% specificity.
- Combining these models with D-dimer did not improve diagnostic accuracy. Underlying conditions, genetic predisposition, and smoking were noted factors.
Conclusions:
- Existing risk assessment tools (PERC, PE Model, D-dimer) are currently inadequate for accurate pediatric PE prediction.
- Larger population studies are essential to develop improved diagnostic strategies for childhood PE.
Abstract:
BACKGROUND AND AIM: Pulmonary embolism (PE) is a potentially life-threatening disease in children. The objective of the study is to evaluate the utility of adult-based pulmonary embolism rule-out criteria (PERC), Pediatric PE Model, and D-dimer in the diagnosis of PE in children.
Material And Methods:
The study consisted of patients under 18 years of age who were consulted to the Pediatric Pulmonology Clinic for the evaluation of PE. Patients were divided into two groups based on the confirmation of PE. The group with the presence of PE (n = 20) consisted of children who were diagnosed with PE. The group with the absence of PE (n = 28) consisted of children with clinically suspected PE but negative diagnostic imaging. Adult validated clinical decision PERC rule and Pediatric PE Model were retrospectively applied to the patients.
Results:
In the study, PERC demonstrated a sensitivity of 60% and a specificity of 46% for the diagnosis of PE in children. When PE Model was evaluated for the children, it was found a 50% sensitivity and 75% specificity. Combining PE Model and PERC rule with D-dimer did not increase the specificity and sensitivity. Smoking was found to be relevant for PE in the childhood. Twenty-five percent of the patients had a genetic tendency for PE. All of the patients had an underlying disease as well.
Conclusion:
None of the current risk assessment tools (PE Model, PERC, D-dimer) were found to be accurate in predicting PE. Further larger population studies are still required to develop a better diagnostic approach.
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