[Algorithm for the management of nasal obstruction in neonates and infants]

Area of Science:

• Pediatrics
• Otolaryngology
• Neonatal Medicine

Background:

• Nasal obstruction is common in neonates and infants, primarily due to inflammatory or infectious rhinitis.
• Less frequent but serious causes include congenital, neoplastic, traumatic, or iatrogenic conditions.
• Early diagnosis of severe underlying pathologies causing nasal respiratory failure is crucial.

Purpose of the Study:

• To propose a simple, effective algorithm for managing unilateral and bilateral nasal obstruction in neonates and infants.
• To outline diagnostic approaches for various pathologies causing nasal respiratory failure.
• To provide guidance on presumptive diagnosis, necessary investigations, and treatment strategies.

Main Methods:

• Development of a clinical management algorithm based on etiology and severity.
• Review and description of common and critical pathologies causing nasal obstruction and respiratory failure.
• Emphasis on clinical signs and symptoms for presumptive diagnosis.

Main Results:

• The proposed algorithm simplifies the diagnostic and management pathway for infant nasal obstruction.
• Identifies key differentiating symptoms for common versus severe causes.
• Provides a framework for timely intervention in cases of nasal respiratory failure.

Conclusions:

• A structured algorithmic approach can effectively manage nasal obstruction in infants.
• Distinguishing between benign and severe etiologies is key for appropriate pediatric care.
• Early recognition and management of nasal respiratory failure are vital for infant outcomes.