Association between presence of Bacillus Calmette-Guerin vaccine scar and coronavirus disease 2019.
Buket Caliskaner OzturkIlgim VardalogluDeniz Ongel HarbiyeliNejdiye GungorduGizem SenkardeslerNigar AliyevaAytan IsmayilovaGunay CanIlker Inanc BalkanBilun GemiciogluSermin BorekciPublished in: Medicine (2022)
Bacillus Calmette-Guerin vaccine is administered for protection against tuberculosis and may also have beneficial effects against some viral respiratory tract infections. In this study, it was aimed to investigate the relationship between Bacillus Calmette-Guerin vaccination which is confirmed by BCG scar, and the frequency and course of Coronavirus disease 2019 (COVID-19). Among 490 patients, 400 patients who accepted to participate in the study were included. After the consent of patients, age, gender, body mass index, comorbidities, smoking, history, and the progress of COVID-19 of these patients were investigated; the presence and number of Bacillus Calmette-Guerin scars were recorded by a physician. Data from groups with and without COVID-19 history were compared. There was no relation between presence and number of the BCG scar and COVID-19 related hospitalization and intensive care unit admission. When groups with and without COVID-19 history compared, no statistically significant difference was found with the presence and number of Bacillus Calmette-Guerin scars (P > 0,05). No association was found between the presence or number of BCG scars and the frequency and course of COVID-19 in individuals with Bacillus Calmette-Guerin vaccination history confirmed by the presence of Bacillus Calmette-Guerin vaccine scars. Currently, the most important protection against COVID-19 is the COVID-19 vaccine.
Keyphrases
- coronavirus disease
- sars cov
- respiratory syndrome coronavirus
- intensive care unit
- body mass index
- muscle invasive bladder cancer
- end stage renal disease
- bacillus subtilis
- chronic kidney disease
- emergency department
- ejection fraction
- newly diagnosed
- primary care
- mycobacterium tuberculosis
- mental health
- machine learning
- platelet rich plasma
- deep learning
- hiv infected
- antiretroviral therapy
- weight gain