New concepts in pediatric rhinitis.
Papadopoulos G NikolaosXenophon AggelidesSofia StamatakiEmmanuel ProkopakisMichael KatotomichelakisParaskevi XepapadakiPublished in: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology (2021)
Rhinitis-and especially allergic rhinitis (AR)-remains the most frequent hypersensitivity condition, affecting up to a quarter of the population and impacting the quality of life of individual patients and the health economy. Data, especially with respect to underlying pathophysiologic mechanisms, mainly derive from studies on adults and are subsequently extrapolated to the pediatric population. Therapeutic algorithms for children with rhinitis are long based on the same principles as in adults. We explore and describe novel aspects of rhinitis, ranging from mechanisms to disease classification, phenotypes, diagnostic and monitoring tools, and the use of treatments, with a focus on the traits of pediatric age groups.
Keyphrases
- allergic rhinitis
- machine learning
- end stage renal disease
- deep learning
- chronic kidney disease
- newly diagnosed
- public health
- healthcare
- ejection fraction
- young adults
- mental health
- peritoneal dialysis
- prognostic factors
- genome wide
- electronic health record
- risk assessment
- gene expression
- climate change
- case control
- human health