| Literature DB >> 34936675 |
Hadrien Diakonoff1,2, Sébastien Jungo3, Nathan Moreau3,4, Marco E Mazevet5, Anne-Laure Ejeil3,6, Benjamin Salmon3,6, Violaine Smaïl-Faugeron3,7.
Abstract
BACKGROUND: During the first-wave of the COVID-19 pandemic, dentists were considered at high-risk of infection. In France, to stop the spread of SARS-CoV-2, a nationwide lockdown was enforced, during which dentists suspended their routine clinical activities, working solely on dental emergencies. This measure has had an indisputable mitigating effect on the pandemic. To continue protecting dentists after suspension of nationwide lockdown, implementation of preventive measures was recommended, including adequate personal protective equipment (PPE) and room aeration between patients. No study has explored whether implementation of such preventive measures since the end of the first-wave has had an impact on the contamination of dentists.Entities:
Mesh:
Year: 2021 PMID: 34936675 PMCID: PMC8694455 DOI: 10.1371/journal.pone.0261439
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic data, medical conditions, and clinical practice before the pandemic.
| All included dentists (n = 3497) | No test performed (n = 2476) | Tested Negative (n = 895) | Tested Positive (n = 126) | p-value | |
|---|---|---|---|---|---|
|
| |||||
| Age, years | 53 [42, 61] | 53 [42, 61] | 54 [42, 61] | 54 [41.25, 61] | 0.698* |
| Female gender | 1847 (52.8) | 1277 (51.6) | 508 (56.8) | 62 (49.2) |
|
|
| |||||
| Current pregnancy | 47 (1.3) | 34 (1.4) | 10 (1.1) | 3 (2.4) | 0.426 |
| Current Smoking | 270 (7.7) | 192 (7.8) | 66 (7.4) | 12 (9.5) | 0.638 |
| Comorbidities | |||||
| Allergies | 463 (13.2) | 320 (12.9) | 128 (14.3) | 15 (11.9) | 0.544 |
| Diabetes | 67 (1.9) | 38 (1.5) | 21 (2.3) | 8 (6.3) |
|
| Hypertension | 284 (8.1) | 184 (7.4) | 88 (9.8) | 12 (9.5) | 0.062 |
| Cardiopathies | 109 (3.1) | 76 (3.1) | 30 (3.4) | 3 (2.4) | 0.86 |
| COPD | 97 (2.8) | 68 (2.7) | 26 (2.9) | 3 (2.4) | 0.959 |
| CKD | 19 (0.5) | 11 (0.4) | 8 (0.9) | 0 (0.0) | 0.276 |
| Malignancies | 114 (3.3) | 76 (3.1) | 34 (3.8) | 4 (3.2) | 0.554 |
| Overweight or obesity | 339 (9.7) | 223 (9.0) | 96 (10.7) | 20 (15.9) |
|
| ID | 41 (1.2) | 28 (1.1) | 11 (1.2) | 2 (1.6) | 0.782 |
| Other | 98 (2.8) | 71 (2.9) | 26 (2.9) | 1 (0.8) | 0.444 |
|
| |||||
| Structure |
| ||||
| Private practice | 3295 (94.3) | 2371 (95.8) | 811 (90.6) | 113 (89.7) | |
| Hospital | 70 (2.0) | 26 (1.1) | 37 (4.1) | 7 (5.6) | |
| Private practice and hospital | 120 (3.4) | 69 (2.8) | 46 (5.1) | 5 (4.0) | |
| Other | 10 (0.3) | 8 (0.3) | 1 (0.1) | 1 (0.8) | |
| Practice |
| ||||
| General practice | 3118 (89.2) | 2235 (90.3) | 781 (87.3) | 102 (81.0) | |
| Specialized practice | 171 4.9) | 104 (4.2) | 53 (5.9) | 14 (11.1) | |
| Orthodontics | 185 (5.3) | 125 (5.1) | 51 (5.7) | 9 (7.1) | |
| Other | 21 (0.6) | 10 (0.4) | 10 (1.1) | 1 (0.8) | |
| Specific specialty | |||||
| Endodontics | 26 (0.7) | 12 (0.5) | 11 (1.2) | 3 (2.4) |
|
| Oral surgery | 55 (1.6) | 36 (1.5) | 17 (1.9) | 2 (1.6) | 0.597 |
| Pediatric dentistry | 42 (1.2) | 24 (1.0) | 14 (1.6) | 4 (3.2) |
|
| Periodontology | 57 (1.6) | 41 (1.7) | 12 (1.3) | 4 (3.2) | 0.276 |
Data are median [IQR], n (%). P-values comparing dentists’ COVID-19 test status (no test, negative or positive) are from (#) Chi-Square, (*) Kruskal-Wallis or Fisher’s exact test when not specified. COPD: chronic obstructive pulmonary disease; CKD: chronic kidney disease; ID: immunodeficiencies.
Symptoms and putative exposure history in dentists.
| All included dentists (n = 3497) | No test performed (n = 2476) | Tested Negative (n = 895) | Tested Positive (n = 126) | p-value | |
|---|---|---|---|---|---|
|
| |||||
| None | 2671 (76.4) | 2161 (87.3) | 492 (55.0) | 18 (14.3) | <0.001 |
| Fever (>38°) | 301 (8.6) | 90 (3.6) | 148 (16.5) | 63 (50.0) | <0.001 |
| Chills | 185 (5.3) | 55 (2.2) | 93 (10.4) | 37 (29.4) | <0.001 |
| Headache | 368 (10.5) | 140 (5.7) | 173 (19.3) | 55 (43.7) | <0.001 |
| Conjunctivitis | 53 (1.5) | 21 (0.8) | 22 (2.5) | 10 (7.9) | <0.001 |
| Tiredness | 573 (16.4) | 213 (8.6) | 274 (30.6) | 86 (68.3) | <0.001 |
| Rhinitis | 223 (6.4) | 85 (3.4) | 111 (12.4) | 27 (21.4) | <0.001 |
| Myalgia | 270 (7.7) | 83 (3.4) | 132 (14.7) | 55 (43.7) | <0.001 |
| Sore throat | 254 (7.3) | 94 (3.8) | 134 (15.0) | 26 (20.6) | <0.001 |
| Cough | 344 (9.8) | 108 (4.4) | 180 (20.1) | 56 (44.4) | <0.001 |
| Anosmia | 120 (3.4) | 26 (1.1) | 37 (4.1) | 57 (45.2) | <0.001 |
| Ageusia | 114 (3.3) | 28 (1.1) | 33 (3.7) | 53 (42.1) | <0.001 |
| Dyspnea | 114 (3.3) | 36 (1.5) | 48 (5.4) | 30 (23.8) | <0.001 |
| ARDS | 21 (0.6) | 4 (0.2) | 11 (1.2) | 6 (4.8) | <0.001 |
| Dizziness | 89 (2.5) | 27 (1.1) | 50 (5.6) | 12 (9.5) | <0.001 |
| Other | 121 (3.5) | 32 (1.3) | 68 (7.6) | 21 (16.7) | <0.001 |
|
| |||||
| Does not believe to be infected | 2839 (81.2) | 2195 (88.7) | 629 (70.3) | 15 11.9) | <0.001 |
| Unknown | 316 (9.0) | 159 (6.4) | 127 (14.2) | 30 (23.8) | <0.001 |
| Dental procedures | 180 (5.2) | 65 (2.6) | 70 (7.8) | 45 (35.7) | <0.001 |
| Spouse, child | 85 (2.4) | 39 (1.6) | 26 (2.9) | 20 (15.9) | <0.001 |
| During public transportation or travel | 44 (1.3) | 9 (0.4) | 22 (2.5) | 13 (10.3) | <0.001 |
| Coworker | 32 (0.9) | 12 (0.5) | 12 (1.3) | 8 (6.3) | <0.001 |
| Assistant, secretary | 22 (0.6) | 11 (0.4) | 8 (0.9) | 3 (2.4) | 0.021 |
| Other | 95 (2.7) | 51 (2.1) | 32 (3.6) | 12 (9.5) | <0.001 |
Data are n (%). P-values comparing dentists’ COVID-19 test status (no test, negative or positive) are from Fisher’s exact test. ARDS: acute respiratory distress syndrome.
Fig 1Weekly evolution of new cases of Covid-19 in France.
Clinical practice and perceived stress after the lifting of the lockdown.
| All included dentists (n = 3497) | No test performed (n = 2476) | Tested Negative (n = 895) | Tested Positive (n = 126) | p-value | |
|---|---|---|---|---|---|
|
| 0.079 | ||||
| Yes | 3424 (97.9) | 2427 (98.0) | 875 (97.8) | 122 (96.8) | |
| Telephone regulation | 8 (0.2) | 5 (0.2) | 3 (0.3) | 0 (0.0) | |
| No | 44 (1.2) | 25 (1.0) | 15 (1.7) | 4 (3.2) | |
| Retired | 21 (0.6) | 19 (0.8) | 2 (0.2) | 0 (0.0) | |
|
| |||||
| Before lockdown | 181 (5.3) | 95 (3.9) | 70 (8.0) | 16 (13.1) |
|
| After lockdown | 107 (3.1) | 59 (2.4) | 36 (4.1) | 12 (9.8) |
|
|
| 270 (7.7) | 83 (3.4) | 132 (14.7) | 55 (43.7) |
|
| No change | 941 (26.9) | 658 (26.6) | 241 (26.9) | 42 (33.3) | 0.249 |
| Reducing number of patients | 2694 (77.1) | 1921 (77.6) | 692 (77.3) | 81 (64.3) |
|
| Reducing number of dental procedures | 955 (27.3) | 698 (28.2) | 233 (26.0) | 24 (19.0) |
|
| Reduce number of medical staff | 120 (3.4) | 84 (3.4) | 30 (3.4) | 6 (4.8) | 0.653 |
| Reduce number of paramedical staff | 184 (5.3) | 127 (5.1) | 50 (5.6) | 7 (5.6) | 0.825 |
| Treating emergencies only | 31 (0.9) | 22 (0.9) | 8 (0.9) | 1 (0.8) | 1 |
| Other | 120 (3.4) | 78 (3.2) | 36 (4.0) | 6 (4.8) | 0.285 |
|
| |||||
| Surgical mask | 699 (20.0) | 474 (19.2) | 188 (21.0) | 37 (29.4) |
|
| FFP2/FFP3/(K)N95 mask | 3294 (94.2) | 2331 (94.2) | 851 (95.1) | 112 (88.9) |
|
| Safety goggles | 3298 (94.4) | 2337 (94.5) | 846 (94.5) | 115 (91.3) | 0.31 |
| Hairnets | 2984 (85.4) | 2094 (84.6) | 782 (87.4) | 108 (85.7) | 0.137 |
| Shoe covers | 450 (12.9) | 301 (12.2) | 124 (13.9) | 25 (19.8) |
|
| Disposable gown | 2848 (81.5) | 2027 (81.9) | 724 (80.9) | 97 (77.0) | 0.317 |
|
| |||||
| Surgical mask | 1307 (37.4) | 881 (35.6) | 360 (40.2) | 66 (52.4) |
|
| FFP2/FFP3/(K)N95 mask | 2219 (63.5) | 1601 (64.7) | 558 (62.3) | 60 (47.6) |
|
| Safety goggles | 1578 (45.2) | 1106 (44.7) | 406 (45.4) | 66 (52.4) | 0.237 |
| Hairnets | 2056 (58.8) | 1430 (57.8) | 555 (62.0) | 71 (56.3) | 0.074 |
| Shoe covers | 268 (7.7) | 183 (7.4) | 66 (7.4) | 19 (15.1) |
|
| Disposable gown | 1185 (33.9) | 843 (34.1) | 298 (33.3) | 44 (34.9) | 0.884 |
|
| |||||
| Global | 5 [3, 7] | 5 [3, 7] | 5 [3, 7] | 5 [3, 7] | 0.618* |
| Personal safety | 3 [1, 5] | 3 [1, 5] | 3 [1, 5] | 3 [2, 7] | <0.001* |
| Safety of their families | 5 [2, 7] | 5 [2, 7] | 5 [2, 8] | 7 [5, 8] | <0.001* |
| Safety of their patients | 2 [0, 5] | 2 [0, 5] | 2 [0, 5] | 3 [0, 5] | 0.058* |
| Professional practice | 7 [5, 8] | 7 [5, 8] | 7 [5, 8] | 7 [5, 9] | 0.315* |
Data are median [IQR], n (%). P-values comparing dentists’ COVID-19 test status (no test, negative or positive) are from (*) Kruskal-Wallis or Fisher’s exact test when not specified.
Risk indicators associated with COVID-19 among dentists.
| No test performed or tested negative (n = 3371) | Tested Positive (n = 126) | Univariate OR (95% CI, p-value) | Multivariate OR (95% CI, p-value) | Multivariate OR (95% CI, p-value) | |
|---|---|---|---|---|---|
|
| |||||
| Diabetes | 59 (88.1) | 8 (11.9) |
|
|
|
| Overweight or obesity | 319 (94.1) | 20 (5.9) |
|
| 1.78 (1.04–3.02, p = 0.054) |
| Thyroid disease | 30 (88.2) | 4 (11.8) |
|
| 3.85 (1.27–11.67, p = 0.045) |
|
| |||||
| Before lockdown | 165 (91.2) | 16 (8.8) |
|
| 1.63 (0.88–3.02, p = 0.136) |
| After lockdown | 95 (88.8) | 12 (11.2) |
| - | - |
|
| |||||
| No change | 899 (95.5) | 42 (4.5) | 1.37 (0.94–2.01, p = 0.100) | - | - |
| Reducing number of patients | 2613 (97.0) | 81 (3.0) |
|
|
|
| Reducing number of dental procedures | 931 (97.5) | 24 (2.5) |
| - | - |
|
| |||||
| Surgical mask | 662 (94.7) | 37 (5.3) |
| - | - |
| FFP2/FFP3/(K)N95 mask | 3182 (96.6) | 112 (3.4) |
| - | - |
| Shoe covers | 425 (94.4) | 25 (5.6) |
| 0.98 (0.50–1.94, p = 0.963) | 0.98 (0.50–1.95, p = 0.959) |
| Disposable gown | 13 (86.7) | 2 (13.3) | 4.16 (0.93–18.65, p = 0.062) | - | - |
|
| |||||
| Surgical mask | 1241 (95.0) | 66 (5.0) |
|
|
|
| FFP2/FFP3/(K)N95 mask | 2159 (97.3) | 60 (2.7) |
|
|
|
| Shoe covers | 249 (92.9) | 19 (7.1) |
|
| 2.31 (1.07–4.98, p = 0.054) |
OR = odds ratio; 95% CI = 95% confident interval. PPE: personal protective equipment.
* Multivariate analysis with random region effect.