Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study

Autor: Pranav Nair, Chithira V Nair, Kiran G Kulirankal, Elizabeth M Corley, Fabia Edathadathil, Georg Gutjahr, Merlin Moni, Dipu T Sathyapalan
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-11 (2023)
Druh dokumentu: article
ISSN: 1471-2334
DOI: 10.1186/s12879-023-08600-6
Popis: Abstract Background With the World Health Organization (WHO) declaring an end to the COVID-19 pandemic, the focus has shifted to understanding and managing long-term post-infectious complications. “Long COVID,“ characterized by persistent or new onset symptoms extending beyond the initial phase of infection, is one such complication. This study aims to describe the incidence, clinical features and risk profile of long COVID among individuals in a South Indian cohort who experienced post-ChAdOx1 n-Cov-2 vaccine breakthrough infections. Methods A single-centre hospital-based prospective observational study was conducted from October to December 2021. The study population comprised adult patients (> 18 years) with a confirmed COVID-19 diagnosis who had received at least a single dose of vaccination. Data was collected using a specially tailored questionnaire at week 2, week 6, and week 12 post-negative COVID-19 test. A propensity score based predictive scoring system was developed to assess the risk of long COVID. Results Among the 414 patients followed up in the study, 164 (39.6%) reported long COVID symptoms persisting beyond 6 week’s post-infection. The presence of long COVID was significantly higher among patients above 65 years of age, and those with comorbidities such as Type II Diabetes Mellitus, hypertension, dyslipidemia, coronary artery disease, asthma, and cancer. Using backwards selection, a reduced model was developed, identifying age (OR 1.053, 95% CI 0.097–1.07, p
Databáze: Directory of Open Access Journals
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