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Infectious Disease
Cohort
Machine Learning Algorithms Predict Plastic Bronchitis in Pediatric Mycoplasma Pneumonia Patients
Can a computer spot a deadly lung condition before it starts?
This retrospective cohort study of 307 pediatric patients with Mycoplasma pneumoniae pneumonia evaluated machine learning algorithms for pre…
A new computer program can spot a rare, life-threatening lung condition in children much earlier than current methods allow.
Frontiers
Apr 23, 2026
Pediatrics
Cohort
Retrospective study identifies CRP, pleural effusion, and LDH as risk factors for plastic bronchitis in children with refractory M. pneumoniae pneumonia
Study identifies three risk factors for plastic bronchitis in children with severe pneumonia
A retrospective cohort study of 205 hospitalized children with refractory Mycoplasma pneumoniae pneumonia found that 25.4% (52 patients) dev…
Doctors found three warning signs in children with severe pneumonia that predict a dangerous airway complication called plastic bronchitis.
Frontiers
Apr 4, 2026