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Objectives: To allow for early identification and treatment of inadequate nasal valve repair interventions in the intraoperative setting, based on degree of nasal valve collapse quantified by suction-assisted pressure readings. Patient outcomes were measured by comparison of pre- and post-operative Nasal Obstruction Symptom Evaluation (NOSE) surveys.

Study Design: Prospective study.

Methods: All enrolled patients undergo suction-assisted evaluation of nasal valve collapse before surgical intervention. Patients randomized into the experimental group underwent repeat assessment after various nasal valve interventions, compared to a control group where adequacy of interventions was assessed by palpation of the nasal ala.

Results: 20 patients who underwent nasal valve repair were first randomized into control (10) or experimental (10) groups. Two patients in the control group did not receive nasal valve work due to pre-operative readings and were excluded from further analysis. Nasal valve interventions included alar rim grafts (5), spreader grafts (10), batten grafts (2), and nasal valve suture suspension (8). After nasal valve interventions, average suction reading at first sign of collapse increased by 92% (p < 0.0001) and average suction reading at maximal collapse increased by 16% (p < 0.0001). Pre-operative NOSE scores decreased by 55% (p < 0.0001) at the first follow-up visit at 9.3±3.5 days. No patients in the experimental group required additional nasal valve interventions after repeat suction-assisted evaluations intraoperatively.

Conclusion: Intraoperative suction-assisted evaluation of nasal valve collapse can help assess adequacy of nasal valve interventions and determine whether additional interventions are necessary to improve nasal valve integrity.

Publication Date



Nasal valve repair, NOSE survey


Medicine and Health Sciences | Otolaryngology


Presented at the Triological Society Virtual Combined Sections Meeting 2021

Intraoperative Evaluation of Nasal Valve Repair Interventions: A Prospective Analysis