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Risk Factors for COVID-19 and Respiratory Tract Infections during the Coronavirus Pandemic

Mockeliunas, Laurynas (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
Van Wijk, Rob C, 1991- (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
Upton, Caryn M. (författare)
TASK, ZA-7500 Cape Town, South Africa.
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Peter, Jonathan (författare)
Univ Cape Town, Allergy & Immunol Unit, Lung Inst, ZA-7700 Cape Town, South Africa.;Univ Cape Town, Div Allergy & Clin Immunol, ZA-7700 Cape Town, South Africa.
Diacon, Andreas H. (författare)
TASK, ZA-7500 Cape Town, South Africa.
Simonsson, Ulrika S. H., Professor (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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 (creator_code:org_t)
MDPI, 2024
2024
Engelska.
Ingår i: Vaccines. - : MDPI. - 2076-393X. ; 12:3
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • (1) Background: Some individuals are more susceptible to developing respiratory tract infections (RTIs) or coronavirus disease (COVID-19) than others. The aim of this work was to identify risk factors for symptomatic RTIs including COVID-19 and symptomatic COVID-19 during the coronavirus pandemic by using infection incidence, participant baseline, and regional COVID-19 burden data. (2) Methods: Data from a prospective study of 1000 frontline healthcare workers randomized to Bacillus Calmette-Gu & eacute;rin vaccination or placebo, and followed for one year, was analyzed. Parametric time-to-event analysis was performed to identify the risk factors associated with (a) non-specific symptomatic respiratory tract infections including COVID-19 (RTIs+COVID-19) and (b) symptomatic RTIs confirmed as COVID-19 using a polymerase chain reaction or antigen test (COVID-19). (3) Results: Job description of doctor or nurse (median hazard ratio [HR] 1.541 and 95% confidence interval [CI] 1.299-1.822), the reported COVID-19 burden (median HR 1.361 and 95% CI 1.260-1.469 for 1.4 COVID-19 cases per 10,000 capita), or a BMI > 30 kg/m(2) (median HR 1.238 and 95% CI 1.132-1.336 for BMI of 35.4 kg/m(2)) increased the probability of RTIs+COVID-19, while positive SARS-CoV-2 serology at enrollment (median HR 0.583 and 95% CI 0.449-0.764) had the opposite effect. The reported COVID-19 burden (median HR 2.372 and 95% CI 2.116-2.662 for 1.4 COVID-19 cases per 10,000 capita) and a job description of doctor or nurse (median HR 1.679 and 95% CI 1.253-2.256) increased the probability of developing COVID-19, while smoking (median HR 0.428 and 95% CI 0.284-0.648) and positive SARS-CoV-2 serology at enrollment (median HR 0.076 and 95% CI 0.026-0.212) decreased it. (4) Conclusions: Nurses and doctors with obesity had the highest probability of developing RTIs including COVID-19. Non-smoking nurses and doctors had the highest probability of developing COVID-19 specifically. The reported COVID-19 burden increased the event probability, while positive SARS-CoV-2 IgG serology at enrollment decreased the probability of RTIs including COVID-19, and COVID-19 specifically.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Infectious Medicine (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Nyckelord

risk factors
respiratory tract infections
COVID-19
time-to-event analysis
pharmacometrics

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