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Identifying Olfactory Phenotypes to Differentiate Between COVID-19 Olfactory Dysfunction and Sinonasal Inflammatory Disease.
Somani, Shaan N; Farrokhian, Nathan; Macke, Jamison; Yu, Katherine M; Uhlich, Cody; Rea, Emma L; Villwock, Jennifer A.
  • Somani SN; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Missouri, USA.
  • Farrokhian N; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Missouri, USA.
  • Macke J; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Missouri, USA.
  • Yu KM; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Missouri, USA.
  • Uhlich C; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Missouri, USA.
  • Rea EL; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Missouri, USA.
  • Villwock JA; Department of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, Kansas City, Missouri, USA.
Otolaryngol Head Neck Surg ; 167(5): 896-899, 2022 11.
Article in English | MEDLINE | ID: covidwho-1741809
ABSTRACT
The objective of this study was to identify specific olfactory phenotypes-patterns of olfactory performance-across distinct cohorts with or without olfactory dysfunction (OD). Adult patients underwent testing via a novel olfactory testing methodology in 1 of 4 groups based on health status sinonasal inflammatory condition (chronic rhinosinusitis or allergic rhinitis), ≥4 weeks of self-reported OD after resolved COVID-19 infection, Alzheimer's disease, and healthy control. Participants' scores for each scent were normalized on a scale of 0 to 1 relative to their worst and best scores. Agglomerative hierarchal cluster analysis was performed on normalized data for the COVID-19 and sinonasal cohorts. Resulting clusters from the penultimate merger revealed a sensitivity of 81% and specificity of 63% for the detection of patients with COVID-19. These results support that there are olfactory phenotypes that may discriminate COVID-19 OD from sinonasal inflammatory disease. These phenotypes will likely become increasingly leveraged in the workup and treatment of patients with OD.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Sinusitis / COVID-19 / Olfaction Disorders Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Otolaryngol Head Neck Surg Journal subject: Otolaryngology Year: 2022 Document Type: Article Affiliation country: 01945998221085500

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Sinusitis / COVID-19 / Olfaction Disorders Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Otolaryngol Head Neck Surg Journal subject: Otolaryngology Year: 2022 Document Type: Article Affiliation country: 01945998221085500