4.5 Article

Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms

Journal

CHEMICAL SENSES
Volume 46, Issue -, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/chemse/bjaa081

Keywords

anosmia; chemosensory; coronavirus; hyposmia; olfactory; prediction

Funding

  1. National Institute of Neurological Disorders and Stroke (NINDS) [U19NS112953]
  2. National Institute on Deafness and Other Communication Disorders (NIDCD) [R01DC018455]
  3. National Institute of Nursing Research (NINR) [1ZIANR000035-01]
  4. Office of Workforce Diversity, National Institutes of Health
  5. Rockefeller University Heilbrunn Nurse Scholar Award
  6. Institute of Ecology and Evolution Russian Academy of Sciences (IEE RAS) basic project [0109-2018-0079]
  7. National Institutes of Health (NIH) [DC000014]
  8. Israel Science Foundation (ISF) [1129/19]

Ask authors/readers for more resources

Through a study involving survey, it was found that olfactory loss is a reliable predictor of COVID-19, with smell loss being significantly more pronounced in COVID-19 positive participants. Smell loss during illness is identified as the best predictor of COVID-19 among those with symptoms of respiratory illness.
In a preregistered, cross-sectional study, we investigated whether olfactory loss is a reliable predictor of COVID-19 using a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n = 4148) or negative (C19-; n = 546) COVID-19 laboratory test outcome. Logistic regression models identified univariate and multivariate predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean +/- SD, C19+: -82.5 +/- 27.2 points; C19-: -59.8 +/- 37.7). Smell loss during illness was the best predictor of COVID-19 in both univariate and multivariate models (ROC AUC = 0.72). Additional variables provide negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms (e.g., fever). Olfactory recovery within 40 days of respiratory symptom onset was reported for similar to 50% of participants and was best predicted by time since respiratory symptom onset. We find that quantified smell loss is the best predictor of COVID-19 amongst those with symptoms of respiratory illness. To aid clinicians and contact tracers in identifying individuals with a high likelihood of having COVID-19, we propose a novel 0-10 scale to screen for recent olfactory loss, the ODoR-19. We find that numeric ratings <= 2 indicate high odds of symptomatic COVID-19 (4 < OR < 10). Once independently validated, this tool could be deployed when viral lab tests are impractical or unavailable.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available