From Acute Phase to Long COVID: A Cross-Sectional Study of the Epidemiological Profile and Clinical Evaluation of SARS-CoV-2 Infection in Employees at a Pediatric Hospital
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Epidemiological Profile
3.2. Symptoms
3.3. Reinfection
3.4. Long COVID
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Brasil Ministério da Saúde. Painel de Casos de Doença Pelo Coronavirus 2019 (COVID-19) no Brasil Pelo Ministério da Saúde. Available online: https://covid.saude.gov.br/ (accessed on 6 May 2023).
- The Lancet. COVID-19: Protecting Health-Care Workers. Lancet 2020, 395, 922. [Google Scholar] [CrossRef] [PubMed]
- Chen, P.; Lei, J.; Chen, F.; Zhou, B. Experiences and Perceptions Risk of Health-Care Workers from Coronavirus. Medicine 2020, 99, e20308. [Google Scholar] [CrossRef] [PubMed]
- Al-Oraibi, A.; Woolf, K.; Nellums, L.B.; Tarrant, C.; Naqvi, H.; Pareek, M. Caring for the Carers: Understanding Long Covid in Our Diverse Healthcare Workforce. BMJ 2022, 377, o1152. [Google Scholar] [CrossRef] [PubMed]
- Bellanti, J.A.; Settipane, R.A. Long-Covid and Loss of Smell: A Post-Covid Olfactory Dysfunction That Continues to Challenge the Allergist/Immunologist. Allergy Asthma Proc. 2022, 43, 93–95. [Google Scholar] [CrossRef] [PubMed]
- Gaber, T.A.-Z.; Ashish, A.; Unsworth, A. Persistent Post-Covid Symptoms in Healthcare Workers. Occup. Med. 2021, 71, 144–146. [Google Scholar] [CrossRef] [PubMed]
- Wose Kinge, C.; Hanekom, S.; Lupton-Smith, A.; Akpan, F.; Mothibi, E.; Maotoe, T.; Lebatie, F.; Majuba, P.; Sanne, I.; Chasela, C. Persistent Symptoms among Frontline Health Workers Post-Acute COVID-19 Infection. Int. J. Environ. Res. Public Health 2022, 19, 5933. [Google Scholar] [CrossRef] [PubMed]
- Lopez-Leon, S.; Wegman-Ostrosky, T.; Perelman, C.; Sepulveda, R.; Rebolledo, P.A.; Cuapio, A.; Villapol, S. More than 50 Long-Term Effects of COVID-19: A Systematic Review and Meta-Analysis. Sci. Rep. 2021, 11, 16144. [Google Scholar] [CrossRef] [PubMed]
- R Core Team. R: A Language and Environment for Statistical Computing. Available online: https://www.R-project.org/ (accessed on 6 May 2023).
- Wickham, H.; Bryan, J. Readxl: Read Excel Files. Available online: https://CRAN.R-project.org/package=readxl (accessed on 6 May 2023).
- Wickham, H.; François, R.; Henry, L.; Müller, K.; Vaughan, D. Dplyr: A Grammar of Data Manipulation. Available online: https://CRAN.R-project.org/package=dplyr (accessed on 6 May 2023).
- Wickham, H.; Vaughan, D.; Girlich, M.; Ushey, K. Tidyr: Tidy Messy Data. Available online: https://CRAN.R-project.org/package=tidyr (accessed on 6 May 2023).
- Wickham, H. ggplot2: Elegant Graphics for Data Analysis; Springer Nature: Houston, TX, USA, 2016. [Google Scholar]
- Wickham, H.; Henry, L. Purrr: Functional Programming Tools. Available online: https://CRAN.R-project.org/package=purrr (accessed on 6 May 2023).
- Wickham, H.; Miller, E.; Smith, D. Haven: Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files. Available online: https://CRAN.R-project.org/package=haven (accessed on 6 May 2023).
- Robinson, D.; Hayes, A.; Couch, S. Broom: Convert Statistical Objects into Tidy Tibbles. R package version 0.8.0. Available online: https://CRAN.R-project.org/package=broom (accessed on 6 May 2023).
- Patefield, W.M. Algorithm as 159: An Efficient Method of Generating Random R × C Tables with given Row and Column Totals. Appl. Stat. 1981, 30, 91–97. [Google Scholar] [CrossRef]
- Agresti, A. An Introduction to Categorical Data Analysis, 2nd ed.; John Wiley & Sons: Gainesville, FL, USA, 2007. [Google Scholar]
- Bandyopadhyay, S.; Baticulon, R.E.; Kadhum, M.; Alser, M.; Ojuka, D.K.; Badereddin, Y.; Kamath, A.; Parepalli, S.A.; Brown, G.; Iharchane, S.; et al. Infection and Mortality of Healthcare Workers Worldwide from COVID-19: A Systematic Review. BMJ Glob. Health 2020, 5, e003097. [Google Scholar] [CrossRef] [PubMed]
- Gholami, M.; Fawad, I.; Shadan, S.; Rowaiee, R.; Ghanem, H.; Hassan Khamis, A.; Ho, S.B. COVID-19 and Healthcare Workers: A Systematic Review and Meta-Analysis. Int. J. Infect. Dis. 2021, 104, 335–346. [Google Scholar] [CrossRef] [PubMed]
- De Albuquerque, M.; Souza, W.V.; Montarroyos, U.R.; Pereira, C.R.; Braga, C.; Araújo, T.V.; Ximenes, R.A.; De Miranda-Filho, D.; Szwarcwald, C.L.; Souza-Junior, P.R.; et al. Risk of SARS-COV-2 Infection among Front-Line Healthcare Workers in Northeast Brazil: A Respondent-Driven Sampling Approach. BMJ Open 2022, 12, e058369. [Google Scholar] [CrossRef] [PubMed]
- Martin-Delgado, J.; Viteri, E.; Mula, A.; Serpa, P.; Pacheco, G.; Prada, D.; Campos de Andrade Lourenção, D.; Campos Pavan Baptista, P.; Ramirez, G.; Mira, J.J. Availability of Personal Protective Equipment and Diagnostic and Treatment Facilities for Healthcare Workers Involved in COVID-19 Care: A Cross-Sectional Study in Brazil, Colombia, and Ecuador. PLoS ONE 2020, 15, e0242185. [Google Scholar] [CrossRef] [PubMed]
- Ramli, N.S.; Mohd Fauzi, M.F.; Amin Moktar, N.M.; Hajib, N.; Nawi, A.M. Prevalence, Characteristics, and Predictors of Healthcare Workers with COVID-19 Infection in an Urban District in Malaysia. Pan Afr. Med. J. 2022, 41, 243. [Google Scholar] [CrossRef] [PubMed]
- Bongiovanni, M. COVID-19 Reinfection in a Healthcare Worker. J. Med. Virol. 2021, 93, 4058–4059. [Google Scholar] [CrossRef] [PubMed]
- Bongiovanni, M.; Marra, A.M.; Bini, F.; Bodini, B.D.; Di Carlo, D.; Giuliani, G. COVID-19 Reinfection in Healthcare Workers: A Case Series. J. Infect. 2021, 82, e4–e5. [Google Scholar] [CrossRef] [PubMed]
- Rivelli, A.; Fitzpatrick, V.; Blair, C.; Copeland, K.; Richards, J. Incidence of COVID-19 Reinfection among Midwestern Healthcare Employees. PLoS ONE 2022, 17, e0262164. [Google Scholar] [CrossRef] [PubMed]
- Dos Santos, L.A.; Filho, P.G.; Silva, A.M.; Santos, J.V.; Santos, D.S.; Aquino, M.M.; De Jesus, R.M.; Almeida, M.L.; Da Silva, J.S.; Altmann, D.M.; et al. Recurrent COVID-19 Including Evidence of Reinfection and Enhanced Severity in Thirty Brazilian Healthcare Workers. J. Infect. 2021, 82, 399–406. [Google Scholar] [CrossRef] [PubMed]
- Brodin, P.; Casari, G.; Townsend, L.; O’Farrelly, C.; Tancevski, I.; Löffler-Ragg, J.; Mogensen, T.H.; Casanova, J.L.; Abel, L.; Aiuti, A.; et al. Studying Severe Long Covid to Understand Post-Infectious Disorders Beyond COVID-19. Nat. Med. 2022, 28, 879–882. [Google Scholar] [CrossRef] [PubMed]
- Alkodaymi, M.S.; Omrani, O.A.; Fawzy, N.A.; Shaar, B.A.; Almamlouk, R.; Riaz, M.; Obeidat, M.; Obeidat, Y.; Gerberi, D.; Taha, R.M.; et al. Prevalence of Post-Acute COVID-19 Syndrome Symptoms at Different Follow-up Periods: A Systematic Review and Meta-Analysis. Clin. Microbiol. Infec. 2022, 28, 657–666. [Google Scholar] [CrossRef] [PubMed]
- Almas, T.; Malik, J.; Alsubai, A.K.; Jawad Zaidi, S.M.; Iqbal, R.; Khan, K.; Ali, M.; Ishaq, U.; Alsufyani, M.; Hadeed, S.; et al. Post-Acute COVID-19 Syndrome and Its Prolonged Effects: An Updated Systematic Review. Ann. Med. Surg. 2022, 80, 103995. [Google Scholar] [CrossRef] [PubMed]
Answers to the Epidemiological Investigation Questionnaire | Yes | No | Not Answered |
---|---|---|---|
Work in patient care activities | 319 (68.5%) | 146 (31.3%) | 1 (0.2%) |
Direct assistance to persons suspected or confirmed to have COVID-19 | 100 (21.5%) | 365 (78.3%) | 1 (0.2%) |
Report of incidents with direct exposure to aerosols/biological agents within the institution? | 97 (20.8%) | 364 (78.1%) | 5 (1.1%) |
Confirmation of positive cases that occurred in the sector you worked in the last 15 days | 129 (27.7%) | 336 (72.1%) | 1 (0.2%) |
Activity of working in a second health institution | 108 (23.2%) | 357 (76.6%) | 1 (0.2%) |
Confirmation of positive cohabitant for COVID-19 during the last 15 days | 238 (51.1%) | 228 (48.9%) | 0 (0.0%) |
Receipt of visits at home in the last 15 days | 177 (38.0%) | 288 (61.8%) | 1 (0.2%) |
Attended markets, pharmacies, and shops | 380 (81.5%) | 86 18.5%) | 0 (0.0%) |
Participation in a social event | 23 (4.9%) | 443 (95.1%) | 0 (0.0%) |
Followed social distancing, mask-wearing, and hand hygiene | 461 (98.9%) | 5 (1.1%) | 0 (0.0%) |
Use of public transport as a means of commuting to work | 265 (56.9%) | 201 (43.1%) | 0 (0.0%) |
PPE | Frequency of Use |
---|---|
N95 Mask | 275 (59.0%) |
Face shield | 181 (38.8%) |
Disposable mask | 142 (30.5%) |
Glasses | 97 (20.8%) |
Fabric mask | 84 (18%) |
Symptom | Frequency |
---|---|
Headache | 277 (59.4%) |
Myalgia | 216 (46.4%) |
Cough | 169 (36.3%) |
Odynophagia | 168 (36.1%) |
Runny nose | 158 (33.9%) |
Fever | 96 (20.6%) |
Anosmia | 92 (19.7%) |
Ageusia | 81 (17.4%) |
Diarrhea | 62 (13.3%) |
Fatigue/asthenia/fatigue | 61 (13.1%) |
Nasal congestion | 60 (12.9%) |
Nausea/vomiting | 54 (11.6%) |
Eye symptoms (1) | 53 (11.4%) |
Sneezing | 44 (9.4%) |
Dyspnea | 44 (9.4%) |
Lack of appetite | 37 (7.9%) |
Back pain | 34 (7.3%) |
Chill | 34 (7.3%) |
Chest pain | 28 (6.0%) |
Abdominal pain | 22 (4.7%) |
Sweating | 18 (3.9%) |
Otalgia | 12 (2.6%) |
General malaise | 12 (2.6%) |
Others (2) | 19 (4.1%) |
Symptom | First Infection | Reinfection |
---|---|---|
Asymptomatic | 4 (21.1%) | 2 (10.5%) |
Chill | 3 (15.8%) | 1 (5.2%) |
Headache | 8 (42.1%) | 5 (26.3%) |
Nasal congestion | 4 (21.1%) | 1 (5.2%) |
Runny nose | 6 (31.6%) | 5 (26.3%) |
Diarrhea | 2 (10.5%) | 3 (15.8%) |
Dyspnea | 1 (5.2%) | 2 (10.5%) |
Abdominal pain | 1 (5.2%) | 0 (0.0%) |
Odynophagia | 6 (3.1%) | 3 (15.8%) |
Myalgia | 6 (3.1%) | 3 (15.8%) |
Chest pain | 0 (0.0%) | 2 (10.5%) |
Back pain | 1 (5.2%) | 0 (0.0%) |
Sneezing | 1 (5.2%) | 3 (15.8%) |
Fatigue/asthenia | 3 (15.8%) | 3 (15.8%) |
Fever | 4 (21.1%) | 2 (10.5%) |
Malaise | 0 (0.0%) | 2 (10.5%) |
Nausea/vomiting | 1 (5.2%) | 3 (15.8%) |
Anosmia | 2 (10.5%) | 2 (10.5%) |
Ageusia | 1 (5.2%) | 1 (5.2%) |
Ocular symptom | 3 (15.8%) | 2 (10.5%) |
Sweating | 1 (5.2%) | 0 (0.0%) |
Cough | 6 (31.6%) | 7 (36.8%) |
Long COVID Symptom | Frequency |
---|---|
Myalgia | 16 (15.8%) |
Dyspnea | 14 (13.9%) |
Headache | 14 (13.9%) |
Anosmia | 8 (7.9%) |
Ageusia | 7 (6.9%) |
Mental confusion | 7 (6.9%) |
Odynophagia | 4 (3.9%) |
Forgetfulness | 4 (3.9%) |
Lack of concentration | 1 (0.9%) |
Diarrhea/abdominal discomfort | 3 (2.9%) |
Back pain | 2 (2.0%) |
Cough | 1 (1.0%) |
Loss of hair | 1 (1.0%) |
Fatigue | 1 (1.0%) |
Malaise | 1 (1.0%) |
Fever | 1 (1.0%) |
Symptoms | Acute Phase (n = 101) | Long COVID (n = 42) | Fisher’s Exact Test |
---|---|---|---|
Tiredness | |||
Yes | 19 (18.8%) | 0 (0.0%) | p = 0.0010 |
No | 82 (81.2%) | 42 (100.0%) | |
Headache | |||
Yes | 68 (67.3%) | 14 (33.4%) | p = 0.0003 |
No | 33 (32.7%) | 28 (66.6%) | |
Dyspnea | |||
Yes | 6 (5.9%) | 14 (33.4%) | p < 0.0001 |
No | 95 (94.1%) | 28 (66.6%) | |
Odynophagia | |||
Yes | 31 (30.7%) | 4 (9.6%) | p = 0.0095 |
No | 70 (69.3%) | 38 (90.4%) | |
Myalgia | |||
Yes | 45 (44.6%) | 16 (38.3%) | p = 0.5783 |
No | 56 (55.4%) | 26 (61.7%) | |
Anosmia | |||
Yes | 26 (25.8%) | 8 (19.1%) | p = 0.5184 |
No | 75 (74.2%) | 34 (80.9%) | |
Ageusia | |||
Yes | 16 (15.9%) | 7 (16.7%) | p = 1.00 |
No | 85 (84.1%) | 35 (83.3%) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
da Silva, M.R.T.; Costa, A.P.; da Luz, A.A.; Pelaio, C.H.; Cruz, F.B.; Steil, G.F.; Giamberardino, H.I.G.; Prando, C. From Acute Phase to Long COVID: A Cross-Sectional Study of the Epidemiological Profile and Clinical Evaluation of SARS-CoV-2 Infection in Employees at a Pediatric Hospital. J. Clin. Med. 2023, 12, 4325. https://doi.org/10.3390/jcm12134325
da Silva MRT, Costa AP, da Luz AA, Pelaio CH, Cruz FB, Steil GF, Giamberardino HIG, Prando C. From Acute Phase to Long COVID: A Cross-Sectional Study of the Epidemiological Profile and Clinical Evaluation of SARS-CoV-2 Infection in Employees at a Pediatric Hospital. Journal of Clinical Medicine. 2023; 12(13):4325. https://doi.org/10.3390/jcm12134325
Chicago/Turabian Styleda Silva, Marielen Ribeiro Tavares, Ana Paula Costa, Amanda Almeida da Luz, Caio Henrique Pelaio, Felipe Baleche Cruz, Giovanna Fischer Steil, Heloisa Ihle Garcia Giamberardino, and Carolina Prando. 2023. "From Acute Phase to Long COVID: A Cross-Sectional Study of the Epidemiological Profile and Clinical Evaluation of SARS-CoV-2 Infection in Employees at a Pediatric Hospital" Journal of Clinical Medicine 12, no. 13: 4325. https://doi.org/10.3390/jcm12134325
APA Styleda Silva, M. R. T., Costa, A. P., da Luz, A. A., Pelaio, C. H., Cruz, F. B., Steil, G. F., Giamberardino, H. I. G., & Prando, C. (2023). From Acute Phase to Long COVID: A Cross-Sectional Study of the Epidemiological Profile and Clinical Evaluation of SARS-CoV-2 Infection in Employees at a Pediatric Hospital. Journal of Clinical Medicine, 12(13), 4325. https://doi.org/10.3390/jcm12134325