AI Article Synopsis

  • Researchers created a new smell test that's quick and cheap, making it better for checking people's sense of smell during health emergencies like COVID-19.
  • The test checks three things about smell: how well you can detect odors, how strong they smell, and how well you can identify them.
  • It works really well, helping to tell the difference between people who have lost their smell and those with normal smell abilities, and can be useful for hospitals and doctors.

Article Abstract

Background: Commercially available smell tests are primarily used in research or in-depth clinical evaluations, but are too costly and lengthy for population surveillance in health emergencies like COVID-19. We developed the . test which rapidly evaluates three olfactory functions (detection, intensity, and identification). We tested whether self-administering the . test discriminates between individuals with smell loss or average smell ability (normosmics), and provides comparable performance as the validated and standardized NIH Toolbox Odor Identification Test in normosmics.

Methods: Using Bayesian linear models and prognostic classification algorithms, we compared the . performance of a group of self-reported anosmics (N=111, 47±13yo, F=71%,) and normosmics (N=154, 47±14yo, F=74%), as well as individuals reporting other smell disorders (e.g., hyposmia, parosmia; N=42, 55±10yo, F=67%).

Results: Ninety-four percent of normosmics met our . accuracy criteria, while only 10% of anosmics and 64% of individuals with other smell disorders did. Overall performance on . predicted belonging to the normosmic group better than identification or detection alone (vs. anosmic: AUC=0.95, Sensitivity=0.72, Specificity=0.94). Odor intensity provided the best single-feature predictor to classify normosmics. Among normosmics, 92% met the accuracy criteria at both . and the NIH Toolbox Odor Identification Test.

Conclusions: . is a practical test able to discriminate individuals with smell loss and is likely to be useful in many clinical situations, including COVID-19 symptom screening.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743103PMC
http://dx.doi.org/10.1101/2020.12.10.20244301DOI Listing

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