Diagnosing Pediatric Pneumonia: Challenges, Overlapping Clinical Symptoms, and Clinical Prediction Models Podcast Por  arte de portada

Diagnosing Pediatric Pneumonia: Challenges, Overlapping Clinical Symptoms, and Clinical Prediction Models

Diagnosing Pediatric Pneumonia: Challenges, Overlapping Clinical Symptoms, and Clinical Prediction Models

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Drs Todd A. Florin and Mark I. Neuman discuss the challenge of diagnosing pediatric pneumonia, misdiagnosis, overlapping clinical symptoms, and clinical prediction models to reduce x-ray utilization.

Relevant disclosures can be found with the episode show notes on Medscape (https://www.medscape.com/viewarticle/987058). The topics and discussions are planned, produced, and reviewed independently of advertisers. This podcast is intended only for US healthcare professionals.

Resources

Pediatric Pneumonia https://emedicine.medscape.com/article/967822-overview

Boston Febrile Infant Algorithm 2.0: Improving Care of the Febrile Infant 1-2 Months of Age https://pubmed.ncbi.nlm.nih.gov/36337736/

Imaging in Pediatric Pneumonia https://emedicine.medscape.com/article/1926980-overview#a1

Does This Child Have Pneumonia?: The Rational Clinical Examination Systematic Review https://pubmed.ncbi.nlm.nih.gov/28763554/

The Management of Community-acquired Pneumonia in Infants and Children Older Than 3 Months of Age: Clinical Practice Guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America https://pubmed.ncbi.nlm.nih.gov/21880587/

Physician Assessment of the Likelihood of Pneumonia in a Pediatric Emergency Department https://pubmed.ncbi.nlm.nih.gov/20944506/

Predicting Pneumonia From the Clinical Exam https://pubmed.ncbi.nlm.nih.gov/36216472/

Negative Chest Radiography and Risk of Pneumonia https://pubmed.ncbi.nlm.nih.gov/30154120/

Variability in the Interpretation of Chest Radiographs for the Diagnosis of Pneumonia in Children https://pubmed.ncbi.nlm.nih.gov/22009855/

Interrater Reliability: The Kappa Statistic https://pubmed.ncbi.nlm.nih.gov/23092060/

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