| Literature DB >> 33159556 |
Alex C Tham1, Tun-Linn Thein2, Chrisanda S Lee3, Glorijoy S E Tan2, Charmaine M Manauis4, J K Siow3, Y S Leo2, M Y Lim3.
Abstract
PURPOSE: To investigate the prevalence and epidemiological risk factors of olfactory and/or taste disorder (OTD), in particular isolated OTD, in patients with laboratory-confirmed COVID-19 infection.Entities:
Keywords: Ageusia; Anosmia; COVID-19; Olfactory disorder; Taste disoder
Mesh:
Year: 2020 PMID: 33159556 PMCID: PMC7648204 DOI: 10.1007/s00405-020-06455-0
Source DB: PubMed Journal: Eur Arch Otorhinolaryngol ISSN: 0937-4477 Impact factor: 2.503
Factors associated with olfactory or taste disorder among COVID-19 patients admitted to National Centre for Infectious Diseases (NCID) from 24 March 2020 to 16 April 2020
| Factors | Total ( | Smell or taste disorder | Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|---|---|---|
| Absent ( | Present ( | RR (95% CI) | aRR (95% CI) | ||||
| Demographics | |||||||
| Age (years) | 34 (28–42) | 34 (28–42) | 34 (29–41) | – | 0.942 | – | – |
| Gender | |||||||
| Female | 132 (100) | 97 (73.48) | 35 (26.51) | ||||
| Male | 933 (100) | 834 (89.38) | 99 (10.61) | (reference) | (reference) | ||
| Race | |||||||
| Chinese | 154 (100) | 119 (77.27) | 35 (22.72) | | – | 0.175 | |
| Indian | 221 (100) | 196 (88.68) | 25 (11.31) | 0.570 | – | – | |
| Malay | 47 (100) | 38 (80.85) | 9 (19.14) | 0.175 | – | – | |
| South East Asian | 40 (100) | 31 (77.5) | 9 (22.5) | – | 0.083 | – | – |
| Bangladeshi | 568 (100) | 520 (91.54) | 48 (8.45) | – | 0.156 | ||
| Caucasian | 27 (100) | 19 (70.37) | 8 (29.62) | – | 0.161 | ||
| Other races | 8 (100) | 8 (100) | 0 (0) | – | 0.606 | – | – |
| Associated symptoms | |||||||
| Blocked nose | |||||||
| Yes | 69 (100) | 46 (66.66) | 23 (33.33) | ||||
| No | 995 (100) | 884 (88.84) | 111 (11.15) | (reference) | |||
| Runny nose | |||||||
| Yes | 193 (100) | 156 (80.82) | 37 (19.17) | – | 0.069 | ||
| No | 871 (100) | 774 (88.86) | 97 (11.13) | (reference) | |||
| Cough | |||||||
| Yes | 624 (100) | 541 (86.69) | 83 (13.3) | – | 0.453 | – | – |
| No | 441 (100) | 390 (88.43) | 51 (11.56) | – | |||
| Sore throat | |||||||
| Yes | 388 (100) | 332 (85.56) | 56 (14.43) | – | 0.179 | – | – |
| No | 677 (100) | 599 (88.47) | 78 (11.52) | – | |||
| Fever | |||||||
| Yes | 818 (100) | 737 (90.09) | 81 (9.9) | ||||
| No | 246 (100) | 193 (78.45) | 53 (21.54) | (reference) | |||
| Diarrhoea | |||||||
| Yes | 71 (100) | 54 (76.05) | 17 (23.94) | – | 0.053 | ||
| No | 993 (100) | 876 (88.21) | 117 (11.78) | (reference) | |||
| Other symptoms | |||||||
| Yes | 442 (100) | 397 (89.81) | 45 (10.18) | – | – | ||
| No | 622 (100) | 533 (85.69) | 89 (14.3) | (reference) | |||
For continuous variables, median (interquartile range) were shown. For categorical variables, number (percentage) were shown
RR relative risk, aRR adjusted relative risk, CI confidence interval
*p values for univariate analysis were calculated by Mann–Whitney U or χ2 tests
+p values for multivariate analysis were calculated by binary logistic regression
– Not included in multivariate model
Bold values indicate that the statistically significant
Factors associated with isolated olfactory and taste disorder among COVID-19 patients admitted to National Centre for Infectious Diseases (NCID) from 24 March 2020 to 16 April 2020
| Factors | Total OTD ( | Non-isolated OTD ( | Isolated OTD ( | |
|---|---|---|---|---|
| Demographics | ||||
| Age (years) | 34 (29–41) | 34 (29–43) | 30 (25–37.75) | |
| Gender | ||||
| Female | 35 (100) | 31 (88.57) | 4 (11.42) | 0.511 |
| Male | 99 (100) | 91 (91.91) | 8 (8.08) | |
| Race | ||||
| Chinese | 35 (100) | 29 (82.85) | 6 (17.14) | 0.132 |
| Indian | 25 (100) | 23 (92) | 2 (8) | |
| Malay | 9 (100) | 8 (88.88) | 1 (11.11) | |
| South East Asian | 9 (100) | 7 (77.77) | 2 (22.22) | |
| Bangladeshi | 48 (100) | 47 (97.91) | 1 (2.08) | |
| Caucasian | 8 (100) | 8 (100) | 0 (0) | |
| Others | 0 (0) | 0 (0) | 0 (0) | |
| Small disorder | ||||
| Yes | 126 (100) | 114 (90.47) | 12 (9.52) | > 0.999 |
| No | 8 (100) | 8 (100) | 0 (0) | |
| Taste disorder | 3 (2–5) | 3 (2–5) | 3.5 (1.25–5) | 0.631 |
| Small disorder duration, days | ||||
| Yes | 49 (100) | 42 (85.71) | 7 (14.28) | 0.122 |
| No | 85 (100) | 80 (94.11) | 5 (5.88) | |
| Taste disorder duration, days | 2 (1–4) | 2 (1–4) | 2 (1–5) |
For continuous variables, median (interquartile range) were shown. For categorical variables, number (percentage) were shown
OTD olfactory and taste disorder
Bold values indicate that the statistically significant
Summary of demographic profile and symptoms of the patients with isolated OTD
| Patient no | Age | Gender | Race | Occupation | Comorbidities | Duration of OTD prior to diagnosis (days) |
|---|---|---|---|---|---|---|
| 1 | 26 | Female | Chinese | Doctor | Asthma | 1 |
| 2 | 51 | Male | Chinese | Salesman | Nil | 1 |
| 3 | 31 | Male | Indian | Construction worker | Nil | 1 |
| 4 | 25 | Female | Chinese | Doctor | Hyperlipidaemia, Allergic Rhinitis | 2 |
| 5 | 23 | Male | Indian | Student | Nil | 2 |
| 6 | 30 | Male | South East Asian | Construction worker | Nil | 3 |
| 7 | 31 | Male | Chinese | Financial Planner | Nil | 4 |
| 8 | 25 | Female | Malay | Executive | Nil | 4 |
| 9 | 22 | Female | Chinese | Student | Asthma | 4 |
| 10 | 41 | Male | South East Asian | Salesman | Nil | 5 |
| 11 | 40 | Male | Chinese | Teacher | Nil | 8 |
| 12 | 30 | Male | Bangladeshi | Plumber | Nil | 11 |
Factors associated with olfactory disorder among COVID-19 patients admitted to National Centre for Infectious Diseases (NCID) from 24 March 2020 to 16 April 2020
| Factors | Total ( | Olfactory disorder | p value | |
|---|---|---|---|---|
| Absent ( | Present ( | |||
| Demographics | ||||
| Age (years) | 34 (28–42) | 34 (28–42) | 34 (29–41) | 0.933 |
| Gender | ||||
| Female | 132 (100) | 98 (74.24) | 34 (25.75) | |
| Male | 933 (100) | 841 (90.13) | 92 (9.86) | |
| Race | ||||
| Chinese | 154 (100) | 119 (77.27) | 35 (22.72) | |
| Indian | 221 (100) | 199 (90.04) | 22 (9.95) | |
| Malay | 47 (100) | 39 (82.97) | 8 (17.02) | |
| South East Asian | 40 (100) | 31 (77.5) | 9 (22.5) | |
| Bangladeshi | 568 (100) | 524 (92.25) | 44 (7.74) | |
| Caucasian | 27 (100) | 19 (70.37) | 8 (29.62) | |
| Others | 8 (100) | 8 (100) | 0 (0) | |
| Associated symptoms | ||||
| Blocked nose | ||||
| Yes | 69 (100) | 47 (68.11) | 22 (31.88) | |
| No | 995 (100) | 891 (89.54) | 104 (10.45) | |
| Runny nose | ||||
| Yes | 193 (100) | 159 (82.38) | 34 (17.61) | 0.009 |
| No | 871 (100) | 779 (89.43) | 92 (10.56) | |
| Cough | ||||
| Yes | 624 (100) | 546 (87.5) | 78 (12.5) | 0.442 |
| No | 441 (100) | 393 (89.11) | 48 (10.88) | |
| Sore throat | ||||
| Yes | 388 (100) | 336 (86.59) | 52 (13.4) | 0.238 |
| No | 677 (100) | 603 (89.06) | 74 (10.93) | |
| Fever | ||||
| Yes | 818 (100) | 743 (90.83) | 75 (9.16) | |
| No | 246 (100) | 195 (79.26) | 51 (20.73) | |
| Diarrhoea | ||||
| Yes | 71 (100) | 55 (77.46) | 16 (22.53) | |
| No | 993 (100) | 883 (88.92) | 110 (11.07) | |
| Other symptoms | ||||
| Yes | 442 (100) | 399 (90.27) | 43 (9.72) | 0.083 |
| No | 622 (100) | 539 (86.65) | 83 (13.34) | |
Frequency (%) shown for categorical variables and median (interquartile range) shown for continuous variables
Bold values indicate that the statistically significant
Factors associated with taste disorder among COVID-19 patients admitted to National Centre for Infectious Diseases (NCID) from 24 March 2020 to 16 April 2020
| Factors | Total ( | Taste disorder | ||
|---|---|---|---|---|
| Absent ( | Present ( | |||
| Demographics | ||||
| Age (years) | 34 (28–42 | 34 (28–42) | 31 (26.5–41.5) | 0.293 |
| Gender | ||||
| Female | 132 (100) | 113 (85.6) | 19 (14.39) | |
| Male | 933 (100) | 903 (96.78) | 30 (3.21) | |
| Race | ||||
| Chinese | 154 (100) | 140 (90.9) | 14 (9.09) | |
| Indian | 221 (100) | 214 (96.83) | 7 (3.16) | |
| Malay | 47 (100) | 41 (87.23) | 6 (12.76) | |
| South East Asian | 40 (100) | 36 (90) | 4 (10) | |
| Bangladeshi | 568 (100) | 555 (97.71) | 13 (2.28) | |
| Caucasian | 27 (100) | 22 (81.48) | 5 (18.51) | |
| Others | 8 (100) | 8 (100) | 0 (0) | |
| Associataed symptoms | ||||
| Blocked nose | ||||
| Yes | 69 (100) | 58 (84.05) | 11 (15.94) | |
| No | 995 (100) | 957 (96.18) | 38 (3.81) | |
| Runny nose | ||||
| Yes | 193 (100) | 178 (92.22) | 15 (7.77) | |
| No | 871 (100) | 837 (96.09) | 34 (3.9) | |
| Cough | ||||
| Yes | 624 (100) | 597 (95.67) | 27 (4.32) | 0.657 |
| No | 441 (100) | 419 (95.01) | 22 (4.98) | |
| Sore throat | ||||
| Yes | 388 (100) | 373 (96.13) | 15 (3.86) | 0.449 |
| No | 677 (100) | 643 (94.97) | 34 (5.02) | |
| Fever | ||||
| Yes | 818 (100) | 791 (96.69) | 27 (3.3) | |
| No | 246 (100) | 224 (91.05) | 22 (8.94) | |
| Diarrhoea | ||||
| Yes | 71 (100) | 66 (92.95) | 5 (7.04) | 0.370 |
| No | 993 (100) | 949 (95.56) | 44 (4.43) | |
| Other symptoms | ||||
| Yes | 442 (100) | 428 (96.83) | 14 (3.16) | 0.074 |
| No | 622 (100) | 587 (94.37) | 35 (5.62) | |
Frequency (%) shown for categorical variables and median (interquartile range) shown for continuous variables
Bold values indicate that the statistically significant