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Otolaryngol Clin North Am. 2018 Oct;51(5):867-872. doi: 10.1016/j.otc.2018.05.002. Epub 2018 Jul 27.

Diagnostic Algorithm for Evaluating Nasal Airway Obstruction.

Author information

1
Department of Otolaryngology, Head and Neck Surgery, University of Kansas Medical Center, Kansas University, 3901 Rainbow Boulevard, MS 3010, Kansas City, KS 66160, USA. Electronic address: jvillwock@kumc.edu.
2
Department of Surgery, Texas A&M Health Science Center, 1730 Birmingham Drive, College Station, TX 77845, USA.

Abstract

Nasal obstruction is a common symptom and can have a large impact on patient quality of life. There are numerous causes, including anatomic, congenital, inflammatory, infectious, neoplastic, toxic, and systemic. An algorithmic approach can aid in ensuring all pertinent patient information is incorporated into the final diagnosis and treatment plan. Key components include a thorough history, physical examination including modified Cottle and Cottle maneuver, patient-reported outcome measures and/or quality of life questionnaires, examination with and without decongestion, and nasal endoscopy. The resultant information can then be effectively used to narrow the differential and guide the next steps in management.

KEYWORDS:

Cause; Diagnosis; Examination; Nasal obstruction

PMID:
30057071
DOI:
10.1016/j.otc.2018.05.002
[Indexed for MEDLINE]

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