| Literature DB >> 35619688 |
Lucyene Miguita1, Roberta Rayra Martins-Chaves2, Victor Emmanuel Viana Geddes3, Suellen da Rocha Mendes4, Sara Ferreira Dos Santos Costa2, Paula Luize Camargos Fonseca3, Diego Menezes3, Rafael Marques de Souza3, Daniel Costa Queiroz3, Hugo José Alves3, Raphaela Alvarenga Braga de Freitas2, Aline Fernanda Cruz2, Rennan Garcias Moreira5, Filipe Romero Rebello Moreira6, Larissa Marques Bemquerer2, Diego Rodrigues de Aguilar4, Maria Elisa de Souza E Silva7, Aline Araújo Sampaio2, Francisca Daniele Moreira Jardilino2, Leandro Napier de Souza2, Tarcilia Aparecida da Silva2, Carolina Cavaliéri Gomes1, Mauro Henrique Nogueira Guimarães de Abreu4, Renato Santana de Aguiar3, Renan Pedra de Souza3, Ricardo Santiago Gomez2.
Abstract
Background: The coronavirus disease 2019 (COVID-19) pandemic had quite an impact on dental health care. Concerns about the risk of SARS-CoV-2 transmission through contaminant fluids and droplet formation during several dental procedures highly impacted dental health care, drastically reducing the number of dental practices worldwide. To monitor SARS-CoV-2 contamination in dental clinics, a longitudinal study was carried out during the return of dental practice at university.Entities:
Keywords: COVID-19; RT-PCR; SARS-CoV-2; antibodies; dental public health; variant
Year: 2022 PMID: 35619688 PMCID: PMC9127188 DOI: 10.3389/froh.2022.871107
Source DB: PubMed Journal: Front Oral Health ISSN: 2673-4842
Figure 1Study workflow and dental healthcare professionals' team. (A) Teams of dental healthcare professionals. (B) Testing workflow of the study. The presence and absence of each dental healthcare professional per week are demonstrated on Supplementary Figure 5.
Demographic and clinical data of participants.
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|---|---|---|---|---|
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| 28 | 55 | 20 | 105 |
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| Mean (±PD) | 43.4 (±7.2) | 25.6 (±2.8) | 50.2 (±10.5) | 44.8(±17.1) |
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| Female (%) | 14 (50.0%) | 43 (78.2%) | 20 (71.4%) | 75 (71.4%) |
| Male (%) | 14 (50.0%) | 12 (21.8%) | 8 (28.6%) | 30 (28.6%) |
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| Pregnant or breastfeeding | – | 1 | 1 | 2 |
| Hypertension | 1 | – | 4 | 29 |
| Diabetes | – | – | 1 | 9 |
| Immunodepression | – | – | – | 1 |
| Lung disease | 1 | 4 | 1 | 6 |
| Heart disease | – | – | – | 4 |
| Kidney disease | – | — | - | 1 |
| Liver disease | - | - | - | - |
| Other | – | 1 | – | 16 |
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| Fever | – | 1 | 1 | – |
| Shortness of breath | 1 | 3 | 1 | 4 |
| Chills | 1 | 2 | 2 | 1 |
| Diarrhea | 2 | 9 | 1 | – |
| Loss of taste | – | 4 | 4 | 4 |
| Tiredness or fatigue | 2 | 8 | 2 | 3 |
| Cough | 5 | 4 | 3 | 5 |
| Headache | 6 | 17 | 12 | 9 |
| Sore throat | 1 | 4 | 5 | 4 |
| Decreased smell | – | 2 | 4 | 2 |
| Muscle or body aches | 1 | 8 | 4 | 4 |
| Other | – | – | – | 2 |
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| Less than 7 days | – | 8 | 3 | 6 |
| Between 7 and 14 days | – | 3 | 2 | 4 |
| Between 15 and 21 days | 1 | 1 | 2 | – |
| More than 21 days | 8 | 12 | 6 | 12 |
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| Yes | 17 | 26 | 6 | 17 |
| No | 11 | 27 | 21 | 88 |
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| Immunochromatography serological test | 2 | 4 | – | – |
| Chemiluminescence serological test | – | 2 | – | 1 |
| Fluorescence serological test | 1 | – | – | 1 |
| ELISA serological test | 3 | 1 | 3 | 1 |
| Molecular test (RT-PCR) | 15 | 22 | 4 | 9 |
| Did not know how to inform | 1 | 4 | ||
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| Positive | 1 | 9 | 3 | 5 |
| Inconclusive | – | – | – | – |
| Negative | 16 | 18 | 3 | 11 |
| Another vírus | – | – | – | – |
n, number. PD, Pattern Deviation. %, percentage.
History of travel and previous contact with a COVID-19 positive person.
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|---|---|---|---|---|
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| 28 | 55 | 20 | 105 |
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| Yes | 12 | 30 | 13 | 11 |
| No | 16 | 25 | 15 | 94 |
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| Less than 7 days | – | 7 | 5 | 1 |
| Between 7 and 14 days | 2 | 2 | 2 | 2 |
| Between 15 and 21 days | 1 | 2 | – | – |
| More than 21 days | 9 | 19 | 5 | 7 |
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| Yes | 5 | 21 | 9 | 7 |
| No | 4 | 6 | 1 | 2 |
| Did not know how to inform | ||||
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| Yes | 10 | 22 | 9 | 7 |
| No | 2 | 3 | 2 | 1 |
| Did not know how to inform | – | – | – | – |
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| Immunochromatography serological test | 2 | 1 | 1 | – |
| Chemiluminescence serological test | 1 | 1 | – | 1 |
| Fluorescence serological test | – | – | 1 | – |
| ELISA serological test | – | – | 3 | – |
| Molecular test (RT-PCR) | 6 | 23 | 3 | 4 |
| Did not know how to inform | 1 | 5 | 5 | 5 |
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| Yes, to other City in MG State | 5 | 12 | 3 | 7 |
| Yes, to other Brazilian State | 8 | 7 | 2 | 3 |
| Yes, to other Country | 1 | 2 | – | – |
| No | 14 | 34 | 23 | 95 |
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| Less than 7 days | 6 | 8 | 1 | 1 |
| Between 7 and 14 days | 5 | 10 | 4 | 1 |
| Between 15 and 21 days | 1 | 1 | - | 2 |
| More than 21 days | 1 | - | - | 5 |
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| Yes | 3 | 6 | 4 | 7 |
| No | 25 | 48 | 24 | 98 |
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| Flu Vaccine | 1 | 1 | 2 | 6 |
| Pneumonia Vaccine (Pneumococcal vaccine polyvalent) | – | – | – | – |
| Other | 2 | 5 | 2 | 1 |
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| Less than 7 days | – | – | – | – |
| Between 7 and 14 days | – | 1 | – | 1 |
| Between 15 and 21 days | – | 1 | 1 | – |
| More than 21 days | 3 | 4 | 3 | 6 |
n, number.
Figure 2RT-PCR and serological tests in dental healthcare professionals. (A,B) Shows the number of RT-PCR tests and positive results, respectively. The black line shows cumulative cases (C,D) present the number of serological tests and the positive results of each week of the study. The black line shows cumulative cases.
Figure 3RT-PCR tests and results for SARS-CoV-2 in dental healthcare professionals. (A) Shows the number of RT-PCR tests during study timeline per team composed by teachers, dental students and dental assistants. The number varied between teams due to the absence of some participants, either because of COVID-19 diagnostic or personal reasons. (B) Shows the number of RT-PCR positive cases by team during the 9 weeks. (C) Shows the presence and results found in work pairs of dental students. (†), shows the sequenced samples of the SARS-CoV-2 zeta variant.
Figure 4Results of environmental samples collected from the dental clinic and tested by RT-qPCR. (A) Graphic representation of the results of environmental samples per week. Values in percentage. (B) Representative figure, on week 9, showing the spatial distribution of areas positive for SARS-CoV-2 RNA, detached in red, and position of the detected positive dental health professional in the workstation#2 in the clinic. Workstation #1 presented detected (the sink bench, detergent dispenser, dental chair upholstery, light handle, and light arm) and indeterminate results (non-hazardous waste disposal, air sample, and saliva ejector hose–external part). The workstation #3 presented one sample positive in the light arm and presented indeterminate results in the other three spots. WS, workstation. DHCP, dental health care professional. PA, Purge area. SA, supporting area.