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Diagnostic Algorithm for Evaluating Nasal Airway Obstruction.

Jennifer A Villwock1, Ronald B Kuppersmith2

  • 1Department of Otolaryngology, Head and Neck Surgery, University of Kansas Medical Center, Kansas University, 3901 Rainbow Boulevard, MS 3010, Kansas City, KS 66160, USA.

Otolaryngologic Clinics of North America
|July 31, 2018
PubMed
Summary
This summary is machine-generated.

Nasal obstruction significantly impacts quality of life. An algorithmic approach, incorporating history, examination, and endoscopy, aids diagnosis and treatment planning for this common condition.

Keywords:
CauseDiagnosisExaminationNasal obstruction

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Area of Science:

  • Otolaryngology
  • Rhinology

Background:

  • Nasal obstruction is a prevalent symptom affecting patient well-being.
  • Causes are diverse, encompassing anatomical, inflammatory, infectious, and systemic factors.

Purpose of the Study:

  • To outline an algorithmic approach for diagnosing nasal obstruction.
  • To emphasize comprehensive evaluation for effective management.

Main Methods:

  • Detailed patient history and physical examination, including modified Cottle and Cottle maneuvers.
  • Utilizing patient-reported outcome measures and quality of life questionnaires.
  • Performing examinations with and without decongestion, alongside nasal endoscopy.

Main Results:

  • The algorithmic approach ensures all relevant patient data is considered.
  • Systematic evaluation helps narrow the differential diagnosis for nasal obstruction.

Conclusions:

  • A structured, algorithmic method is crucial for accurate diagnosis of nasal obstruction.
  • Comprehensive assessment guides appropriate treatment strategies, improving patient outcomes.