| Literature DB >> 33954852 |
Hamad Alharbi1,2, Sijia You3, Joseph Katz4.
Abstract
PURPOSE: Dysgeusia and anosmia have been liked to COVID-19 infection. The aim of this study is to study the prevalence of dysgeusia and anosmia in COVID-19 patients treated at the University of Florida Health Center and establish the odds of having an olfactory and gustatory disorder with a confirmed COVID-19 infection.Entities:
Keywords: Anosmia; COVID-19; Dysgeusia; Smell Disturbance; Taste disturbance
Mesh:
Year: 2021 PMID: 33954852 PMCID: PMC8099141 DOI: 10.1007/s10006-021-00965-9
Source DB: PubMed Journal: Oral Maxillofac Surg ISSN: 1865-1550
Patients characteristics and demographic between control, COVID-19, and loss of smell and taste in COVID-19 patient groups
| COVID-19 with taste and smell disturbances | COVID-19 patients | Hospital Population | |
|---|---|---|---|
| Total population | 114 | 889 | 987,849 |
| Female | 59 | 509 | 532,391 |
| Male | 55 | 386 | 455,458 |
| Female/male | 1.07 | 1.32 | 1.16 |
| African American, % | 17.7% | 25.6% | 11.3% |
| Asian, % | 0 | 2.8% | 1.9% |
| White | 60% | 45% | 50% |
| Ages 0–9 | 0 | 1.9% | 9.2% |
| Ages 10–17 | 2 | 2.47% | 6.7% |
| Ages 18–34 | 68.8 | 39.9% | 21.5% |
| Ages 35–44 | 20% | 11.1% | 9.6% |
| 45–54 | 4.2 | 1.2% | 10.8% |
| 55–64 | 3 | 11.2% | 15.6% |
| 65–74 | 1 | 12.3% | 14.6% |
| 74–85 | 1 | 6.5% | 8.5% |
Odds ratio with and without adjustments for age, sex, race, and comorbidities
| Odds ratio | 95% Wald confidence limits | |||
|---|---|---|---|---|
| Taste vs. non-taste1 | 39.107 | 27.367 | 55.885 | < 0.0001 |
| Taste vs. non-taste1 | 41.852 | 30.411 | 57.598 | < 0.0001 |
| Male vs female | 0.847 | 0.735 | 0.976 | 0.022 |
| Taste vs. non- taste2 | 37.239 | 26.035 | 53.265 | < 0.0001 |
| Age 18–34 vs 0–17 | 6.565 | 4.658 | 9.251 | < 0.0001 |
| Age > 34 vs 0–17 | 3.156 | 2.249 | 4.427 | 0.0343 |
| Taste vs. non-taste3 | 34.48 | 24.323 | 48.881 | < 0.0001 |
| Race Black vs. White | 2.683 | 2.28 | 3.157 | < 0.0001 |
| Race other vs. White | 1.13 | 0.965 | 1.323 | < 0.0001 |
| Taste vs. non-taste4 | 13.744 | 9.582 | 19.714 | < 0.0001 |
| Respiratory vs. non-respiratory | 8.358 | 7.268 | 9.611 | < 0.0001 |
| Taste vs. non-taste5 | 20.947 | 14.58 | 30.094 | < 0.0001 |
| Endocrine vs. non-endocrine | 3.865 | 3.38 | 4.419 | < 0.0001 |
| Taste vs. non-taste6 | 24.043 | 16.7 | 34.615 | < 0.0001 |
| Obese vs. non-obese | 5.31 | 4.564 | 6.177 | < 0.0001 |
| Taste vs. non-taste7 | 31.407 | 21.872 | 45.099 | < 0.0001 |
| Diabetes vs. non-diabetes | 3.051 | 2.51 | 3.707 | < 0.0001 |
| Taste vs. non-taste8 | 24.636 | 17.144 | 35.404 | < 0.0001 |
| Circulatory vs. non-circulatory | 2.951 | 2.571 | 3.388 | < 0.0001 |
| Taste vs. non-taste9 | 39.451 | 27.569 | 56.454 | < 0.0001 |
| Smoke vs. never | 0.954 | 0.804 | 1.131 | 0.5872 |
Model marked with * is a raw model evaluate the association between COVID-19 status with taste and smell without adjusting for any covariate
Models 1, 2, 3, 4, 5, 6, 7, 8, and 9 have been adjusted for gender, race, age, respiratory disease, endocrine, obesity, diabetes, circulatory disease, and smoking one at a time
Summary of the literature on the association between dysgeusia and anosmia in COVID-19 patients
| First authors | Country | Diagnosis methods | Sample size | Prevalence of OS and GS | Mean age | Female proportion | Most common associated comorbidities | Race |
|---|---|---|---|---|---|---|---|---|
| Dell’ Era V [ | Italy | Questionnaire/self-reported | 355 | 70% | 49 OS 51 GS | 48.5% OS 47.4% GS | CVS (31%) in OS group CVS and respiratory 30% each in the GS group | Unknown |
| Vaira LA [ | Italy | Objective | 72 | 73.6% | 49.9* | 62.5% * | Pneumonia 30%* | Unknown |
| Lechien J [ | European countries | Questionnaire/self-reported | 417 | 85% OS 88.8% GS | 36.9* | 63.1% * | Allergic rhinitis 15.7% * | European 93%* |
| Ling Mao [ | China | Objective | 214 | 5.1% OS 5.6% GS | 52.2* | 60.3%* | CVS 23.8%* | Unknown |
| Giacomelli A [ | Italy | Questionnaire/self-reported | 59 | 34% | 56 | 52.6 | Unknown | Unknown |
| Bagheri [ | Iran | Questionnaire/self-reported | 10,069^ | 48.2% | 32.5 | 71% | Unknown | Unknown |
| Menni [ | UK | Questionnaire/self-reported | 579 | 59.4% | 40.79 ± 11.84* | 69%* | Unknown | Unknown |
| Yan [ | USA | Questionnaire/self-reported | 59 | 67.8% OS 71.2% GS | 17.6* | 49.2%* | Allergic rhinitis 33.9% * | Unknown |
| Spinato [ | UK | Questionnaire/self-reported | 202 | 65% | 56* | 52%* | Unknown | Unknown |
| Giuseppe Mercante [ | Italy | Questionnaire/self-reported | 204 | 56.9% | 52.6 ± 14.4 * | More prevalent in female | CVS 24%* | Unknown |
| Yonghyn Lee [ | Korea | Questionnaire/self-reported | 3191 | 15.3% | Median 36.5 | 68.9% | CVS | Unknown |
| Shima Moein [ | Iran | UPSIT assisted by a trained examiner | 60 | 35% | 46.5* | 33.3%* | 13% diabetes* | Unknown |
| Levinson [ | Israel | Questionnaire/self-reported | 42 | 35% OS 33% GS | 34* | 45%* | 24% cardiovascular* | Unknown |
| Daniel H. Coelho [ | USA | Questionnaire/self-reported | 220^ | Unknown | Unknown | 78.2% | Allergic rhinitis 34 | White 82% |
| Evan R. Reiter [ | USA | Questionnaire/self-reported | 549^ | Unknown | Unknown | 76.7% | Unknown | White 78.7% |
OS, olfactory symptoms; GS, gustatory symptoms; CVS, cardiovascular system; University of Pennsylvania Smell Identification Test
*Among all COVID-19 patients
^Sample size was not confirmed by laboratory testing