Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records.
Ellen Jo ThompsonDylan M WilliamsAlex J WalkerRuth E MitchellClaire L NiedzwiedzTiffany C YangCharlotte F HugginsAlex S F KwongRichard J SilverwoodGiorgio Di GessaRuth C E BowyerKate NorthstoneBo HouMichael James GreenBrian DodgeonKatie J DooresEmma L DuncanFrances M K Williamsnull nullAndrew SteptoeDavid J PorteousRosemary R C McEachanLaurie A TomlinsonBen GoldacrePraveetha PatalayGeorge B PloubidisVittal Srinivasa KatikireddiKate TillingChristopher T RentschNicholas John TimpsonNishi ChaturvediClaire J StevesPublished in: Nature communications (2022)
The frequency of, and risk factors for, long COVID are unclear among community-based individuals with a history of COVID-19. To elucidate the burden and possible causes of long COVID in the community, we coordinated analyses of survey data from 6907 individuals with self-reported COVID-19 from 10 UK longitudinal study (LS) samples and 1.1 million individuals with COVID-19 diagnostic codes in electronic healthcare records (EHR) collected by spring 2021. Proportions of presumed COVID-19 cases in LS reporting any symptoms for 12+ weeks ranged from 7.8% and 17% (with 1.2 to 4.8% reporting debilitating symptoms). Increasing age, female sex, white ethnicity, poor pre-pandemic general and mental health, overweight/obesity, and asthma were associated with prolonged symptoms in both LS and EHR data, but findings for other factors, such as cardio-metabolic parameters, were inconclusive.
Keyphrases
- coronavirus disease
- sars cov
- electronic health record
- healthcare
- mental health
- risk factors
- respiratory syndrome coronavirus
- cross sectional
- adverse drug
- type diabetes
- metabolic syndrome
- emergency department
- weight loss
- physical activity
- adipose tissue
- social media
- big data
- skeletal muscle
- machine learning
- preterm birth
- drug induced