Clinical and Epidemiological Profiles of Primary Healthcare Professionals with COVID-19 Infection and Long COVID: An Observational Study.
Esperanza Romero-RodríguezRodrigo Vélez-SantamaríaLuis Ángel Pérula-de TorresJesus Gonzalez-LamaRafael Ángel Castro-JiménezLucía Simón-VicenteCelia Jiménez-GarcíaJerónimo Javier González-BernalMirian Santamaría-PeláezJessica Fernández-SolanaJosefa González-SantosPublished in: Healthcare (Basel, Switzerland) (2023)
Health professionals have been one of the groups most affected by the SARS-CoV-2 virus. Currently, there is little scientific evidence on the similarities and differences between COVID-19 infection and the development of long COVID in primary care (PC) workers. Therefore, it is necessary to analyse their clinical and epidemiological profiles in depth. This study was observational and descriptive, including PC professionals who were divided into three comparison groups based on the diagnostic test for acute SARS-CoV-2 infection. The responses were analysed using descriptive and bivariate analysis to examinate the relationship between independent variables and the presence or not of long COVID. Binary logistic regression analysis was also conducted, with each symptom as the dependent variable and each group as the independent variable. The results describe the sociodemographic characteristics of these population groups, revealing that women in the health sector are the most affected by long COVID and that being in this group is associated with its development. Furthermore, individuals with long COVID exhibited the highest number of symptoms and pathologies. Certain symptoms were found to be associated with long COVID development in this population, including an altered sense of smell, pneumonia, fever, and sore throat, among others. Similarly, altered senses of smell and taste, chest tightness, and joint pain, among others, were found to be associated with acute COVID-19 infection. Additionally, patients with pre-existing overweight or obesity were more likely to experience acute COVID-19 and develop long COVID. The data obtained can be crucial for improving the detection, diagnosis, and treatment of long COVID patients, ultimately leading to an enhancement in their quality of life.
Keyphrases
- sars cov
- coronavirus disease
- respiratory syndrome coronavirus
- primary care
- liver failure
- healthcare
- chronic pain
- metabolic syndrome
- physical activity
- mental health
- depressive symptoms
- hepatitis b virus
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- pain management
- adipose tissue
- insulin resistance
- data analysis
- label free
- big data
- breast cancer risk
- loop mediated isothermal amplification