An Explanation for Reports of Increased Prevalence of Olfactory Dysfunction With Omicron: Asymptomatic Infections

Christopher S von Bartheld1,2, Lingchen Wang3

  • 1Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, Nevada, USA.

PubMed

Insights

Olfactory dysfunction (OD) prevalence is lower with Omicron. Outlier studies showing high OD rates likely used non-representative, symptomatic-only cohorts, artificially inflating results. True prevalence requires including asymptomatic cases.

Area of Science:

  • Infectious Diseases
  • Neurology
  • Epidemiology

Background:

  • Olfactory dysfunction (OD) is a known symptom of coronavirus disease 2019 (COVID-19).
  • The Omicron variant of SARS-CoV-2 has been associated with a lower incidence of OD compared to previous variants.
  • Recent studies have reported conflicting findings regarding OD prevalence in Omicron infections.

Purpose of the Study:

  • To investigate the discrepancy in reported olfactory dysfunction (OD) prevalence associated with the Omicron variant.
  • To identify potential methodological flaws in studies reporting a high prevalence of OD with Omicron infections.
  • To propose a method for accurately estimating OD prevalence in the context of widespread asymptomatic SARS-CoV-2 infections.

Main Methods:

  • Analysis of existing literature on olfactory dysfunction (OD) prevalence in Omicron variant infections.
  • Identification and critique of methodological biases in outlier studies.
  • Theoretical modeling of OD prevalence estimation based on cohort representativeness and asymptomatic infection rates.

Main Results:

  • Studies reporting a significantly increased prevalence of OD with Omicron are likely based on non-representative cohorts.
  • A major methodological flaw involves examining predominantly symptomatic subjects, excluding asymptomatic cases.
  • This bias can artificially inflate the estimated prevalence of OD by up to 10-fold.

Conclusions:

  • The substantially reduced prevalence of olfactory dysfunction (OD) with the Omicron variant is likely accurate.
  • Outlier studies overestimating OD prevalence suffer from significant selection bias.
  • Accurate estimation of OD prevalence necessitates the inclusion of asymptomatic cases in study cohorts.

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