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. 2024 Apr 1;7(4):e247818.
doi: 10.1001/jamanetworkopen.2024.7818.

Long-Term Taste and Smell Outcomes After COVID-19

Affiliations

Long-Term Taste and Smell Outcomes After COVID-19

Ryan Sharetts et al. JAMA Netw Open. .

Abstract

Importance: Self-report surveys suggest that long-lasting taste deficits may occur after SARS-CoV-2 infection, influencing nutrition, safety, and quality of life. However, self-reports of taste dysfunction are inaccurate, commonly reflecting deficits due to olfactory not taste system pathology; hence, quantitative testing is needed to verify the association of post-COVID-19 condition with taste function.

Objective: To use well-validated self-administered psychophysical tests to investigate the association of COVID-19 with long-term outcomes in taste and smell function.

Design, setting, and participants: This nationwide cross-sectional study included individuals with and without a prior history of COVID-19 recruited from February 2020 to August 2023 from a social media website (Reddit) and bulletin board advertisements. In the COVID-19 cohort, there was a mean of 395 days (95% CI, 363-425 days) between diagnosis and testing.

Exposure: History of COVID-19.

Main outcomes and measures: The 53-item Waterless Empirical Taste Test (WETT) and 40-item University of Pennsylvania Smell Identification Test (UPSIT) were used to assess taste and smell function. Total WETT and UPSIT scores and WETT subtest scores of sucrose, citric acid, sodium chloride, caffeine, and monosodium glutamate were assessed for groups with and without a COVID-19 history. The association of COVID-19 with taste and smell outcomes was assessed using analysis of covariance, χ2, and Fisher exact probability tests.

Results: Tests were completed by 340 individuals with prior COVID-19 (128 males [37.6%] and 212 females [62.4%]; mean [SD] age, 39.04 [14.35] years) and 434 individuals with no such history (154 males [35.5%] and 280 females [64.5%]; mean (SD) age, 39.99 [15.61] years). Taste scores did not differ between individuals with and without previous COVID-19 (total WETT age- and sex-adjusted mean score, 33.41 [95% CI, 32.37-34.45] vs 33.46 [95% CI, 32.54-34.38]; P = .94). In contrast, UPSIT scores were lower in the group with previous COVID-19 than the group without previous COVID-19 (mean score, 34.39 [95% CI, 33.86-34.92] vs 35.86 [95% CI, 35.39-36.33]; P < .001]); 103 individuals with prior COVID-19 (30.3%) and 91 individuals without prior COVID-19 (21.0%) had some degree of dysfunction (odds ratio, 1.64 [95% CI, 1.18-2.27]). The SARS-CoV-2 variant present at the time of infection was associated with smell outcomes; individuals with original untyped and Alpha variant infections exhibited more loss than those with other variant infections; for example, total to severe loss occurred in 10 of 42 individuals with Alpha variant infections (23.8%) and 7 of 52 individuals with original variant infections (13.5%) compared with 12 of 434 individuals with no COVID-19 history (2.8%) (P < .001 for all).

Conclusions and relevance: In this study, taste dysfunction as measured objectively was absent 1 year after exposure to COVID-19 while some smell loss remained in nearly one-third of individuals with this exposure, likely explaining taste complaints of many individuals with post-COVID-19 condition. Infection with earlier untyped and Alpha variants was associated with the greatest degree of smell loss.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Doty reported receiving personal fees from Destiny Pharma, Johnson & Johnson, Merck, Satsuma Pharmaceuticals, Cambridge University Press, Elsevier, Johns Hopkins University Press, McGraw-Hill, and John Wiley & Sons outside the submitted work and serving as president and major shareholder of Sensonics International, the manufacturer of the smell and taste tests used in this study. No other disclosures were reported.

Figures

Figure.
Figure.. Geographic Distribution of Study Participants and Corresponding State Population Percentages
A, This choropleth map depicts the geographic distribution of study participants across the US. The color intensity represents the number of participants in each state, with burgundy shades indicating higher participant counts. B, This map provides the percentage population of each state, offering a context for the distribution of participants.

References

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