Este artigo é um Preprint
Preprints são relatos preliminares de pesquisa que não foram certificados pela revisão por pares. Eles não devem ser considerados para orientar a prática clínica ou comportamentos relacionados à saúde e não devem ser publicados na mídia como informação estabelecida.
Preprints publicados online permitem que os autores recebam feedback rápido, e toda a comunidade científica pode avaliar o trabalho independentemente e responder adequadamente. Estes comentários são publicados juntamente com os preprints para qualquer pessoa ler e servir como uma avaliação pós-publicação.
Prevalence, characteristics, and predictors of Long COVID among diagnosed cases of COVID-19
Preprint
em Inglês
| medRxiv
| ID: ppmedrxiv-21268536
ABSTRACT
BackgroundLong COVID or long-term complication after COVID-19 has the ability to affect health and quality of life. Knowledge about the burden and predictors could aid in their prevention and management. Most of the studies are from high-income countries and focus on severe cases. We did this study to estimate the prevalence and identify the characteristics and predictors of Long COVID among our patients. MethodologyWe recruited adult ([≥]18 years) patients who were diagnosed as Reverse Transcription Polymerase Chain Reaction (RTPCR) confirmed SARS-COV-2 infection and were either hospitalized or tested on outpatient basis. Eligible participants were followed up telephonically after four weeks of diagnosis of SARS-COV-2 infection to collect data on sociodemographic, clinical history, vaccination history, Cycle threshold (Ct) values during diagnosis and other variables. Characteristics of Long COVID were elicited, and multivariable logistic regression was done to find the predictors of Long COVID. ResultsWe have analyzed 487 individual data with a median follow-up of 44 days (Inter quartile range (IQR) 39,47). Overall, Long COVID was reported by 29.2% (95% Confidence interval (CI) 25.3%,33.4%) participants. Prevalence of Long COVID among patients with mild/moderate disease (n = 415) was 23.4% (95% CI 19.5%,27.7%) as compared to 62.5% (95% CI 50.7%,73%) in severe/critical cases(n=72). The most common Long COVID symptom was fatigue (64.8%) followed by cough (32.4%). Statistically significant predictors of Long COVID were - Pre-existing medical conditions (Adjusted Odds ratio (aOR)=2.00, 95% CI 1.16,3.44), having a more significant number of symptoms during acute phase of COVID-19 disease (aOR=11.24, 95% CI 4.00,31.51), two doses of COVID-19 vaccination (aOR=2.32, 95% CI 1.17,4.58), the severity of illness (aOR=5.71, 95% CI 3.00,10.89) and being admitted to hospital (Odds ratio (OR)=3.89, 95% CI 2.49,6.08). ConclusionA considerable proportion of COVID-19 cases reported Long COVID symptoms. More research is needed in Long COVID to objectively assess the symptoms and find the biological and radiological markers.
cc_by_nc_nd
Texto completo:
Disponível
Coleções:
Preprints
Base de dados:
medRxiv
Tipo de estudo:
Cohort_studies
/
Estudo observacional
/
Estudo prognóstico
Idioma:
Inglês
Ano de publicação:
2022
Tipo de documento:
Preprint