Resumo:
En
|
Texto:
En
|
PDF:
En
Abstract A plethora of prolonged COVID-19 symptoms, or late manifestations has been reported after acute disease and labeled “post-COVID”. The aim of this study was to identify the prevalence of and risk factors for post-COVID up to 12 weeks after the onset of acute COVID-19. An electronic survey was conducted to evaluate post-COVID-19 symptoms, disease severity, demographics, and pre-existing diseases. The participants were recruited through 88,648 SMS messages, and post on social media. The associations between variables were explored through multivariate models. From 6,958 respondents with confirmed COVID-19, 753 (10.8%) required hospitalization, and 5,791 (83.2%) exhibited at least one post-COVID manifestation. Hair loss (49.4%), memory loss (40.7%), low attention (37.0%), fatigue (34.2%), anxiety (31.2%), and headache (29.6%) were the most reported post-COVID manifestations. Female sex, myalgia, anosmia, and severe disease were associated with most post-COVID manifestations. Pre-existing depression was associated with the development of neuropsychiatric manifestations. Post-COVID manifestations were identified in most patients following COVID-19 infection, placing a supplementary burden on the healthcare system. Hair loss, fatigue, and neuropsychiatric symptoms were the most prevalent post-COVID manifestations. Female sex, myalgia, anosmia, and more severe disease are risk factors for multiple post-COVID manifestations. COVID19 COVID 19 COVID-1 postCOVID. postCOVID . “post-COVID” 1 COVID19. 19. postCOVID19 post-COVID-1 severity demographics preexisting pre existing diseases 88648 88 648 88,64 messages media models 6958 6 958 6,95 COVID19, 19, 75 10.8% 108 10 8 (10.8% hospitalization 5791 5 791 5,79 83.2% 832 83 2 (83.2% manifestation 49.4%, 494 49.4% , 49 4 (49.4%) 40.7%, 407 40.7% 40 7 (40.7%) 37.0%, 370 37.0% 37 0 (37.0%) 34.2%, 342 34.2% 34 (34.2%) 31.2%, 312 31.2% 31 (31.2%) 29.6% 296 29 (29.6% sex myalgia anosmia Preexisting Pre PostCOVID Post infection system COVID1 COVID- “post-COVID postCOVID1 post-COVID- 8864 64 88,6 695 95 6,9 10.8 (10.8 579 79 5,7 83.2 (83.2 49.4 (49.4% 40.7 (40.7% 37.0 3 (37.0% 34.2 (34.2% 31.2 (31.2% 29.6 (29.6 886 88, 69 9 6, 10. (10. 57 5, 83. (83. 49. (49.4 40. (40.7 37. (37.0 34. (34.2 31. (31.2 29. (29. (10 (83 (49. (40. (37. (34. (31. (29 (1 (8 (49 (40 (37 (34 (31 (2 ( (4 (3