Understanding the relationship between olfactory-specific quality of life, objective olfactory loss, and patient factors in chronic rhinosinusitis

Background

Chronic rhinosinusitis (CRS) significantly impacts olfaction. However, the relationship between objective olfaction and patient-reported olfactory-specific quality of life (QOL) is not well understood. Furthermore, objective olfactory testing can be time consuming, so we sought to determine if patient-reported olfactory QOL can be used as screening tool for olfactory dysfunction.

Methods

Olfactory dysfunction was evaluated in 109 patients with CRS using the Questionnaire of Olfactory Disorders–Negative Statements (QOD-NS) and the Sniffin’ Sticks Test, assessing for olfactory threshold, discrimination, identification, and overall composite scores (TDI; composite score of threshold, discrimination, and identification). Regression analysis was performed to correlate olfactory metrics and patient and disease-specific factors with QOD-NS scores. Optimal QOD-NS scores to classify patients based upon objective olfactory function were established.

Results

Bivariate and multivariate regression analyses of QOD-NS and CRS-associated comorbidities, objective measures of disease, demographics, and CRS-specific QOL were performed. Non-white race, depression, and worse 22-item Sino-Nasal Outcome Test (SNOT-22) scores correlated with worse QOD-NS scores (p < 0.005). Worse TDI scores correlated with worse QOD-NS scores, and discrimination had the strongest correlation (p < 0.001). Mean ± standard deviation (SD) QOD-NS scores for normosmia, hyposmia, and anosmia were 44 ± 7.2, 35.7 ± 12.8, and 31.6 ± 10.7, respectively. Receiver operating characteristic curve analysis revealed an area under the curve of 0.770 (p < 0.001), and a QOD-NS cutoff of 38.5 to have maximal Youden's index to define normal vs abnormal TDI score.

Conclusion

In CRS, QOD-NS correlates with non-white race, depression, SNOT-22, and TDI score, with discrimination having the strongest correlation. The QOD-NS also appears to be a feasible tool for olfaction screening.

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