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Published on: September 20, 2024
Sociodemographic factors, biomarkers and comorbidities associated with post-acute COVID-19 sequelae in UK Biobank
Marta Alcalde-Herraiz1, Shahed Iqbal2, Jeffrey J Wallin2
1Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK.
Insights
Long COVID and post-acute complications of SARS-CoV-2 infection (PACS) are linked to sociodemographic factors, biomarkers, and comorbidities. Identifying high-risk groups can inform public health strategies and targeted interventions.
Area of Science:
- Public Health
- Infectious Diseases
- Epidemiology
Background:
- Long-term sequelae of COVID-19, including Long COVID (LC) and post-acute complications of SARS-CoV-2 infection (PACS), present significant public health challenges.
- Limited therapeutic options necessitate a deeper understanding of risk factors associated with these conditions.
Purpose of the Study:
- To investigate the association between sociodemographic factors, clinical biomarkers, and comorbidities with the risk of developing Long COVID and PACS.
- To differentiate risk factors contributing to LC versus PACS.
Main Methods:
- Two case-control studies were conducted using data from the UK Biobank, including 8,668 participants for LC and 108,407 for PACS.
- Analysis explored associations between various factors and the incidence of LC (self-reported symptoms) and PACS (clinically diagnosed complications).
Main Results:
- Age and sex showed opposing associations with LC and PACS.
- Obesity, socioeconomic deprivation, elevated C-reactive protein, triglycerides, HbA1c, cystatin C, urate, alanine aminotransferase, and comorbidities like CKD and COPD were associated with LC.
- Decreased HDL cholesterol and IGF-1 were also linked to LC. Most identified factors for LC were also significant for PACS, with exceptions for alanine aminotransferase and vitamin D.
Conclusions:
- Sociodemographic factors, biomarkers, and comorbidities play a role in the development of Long COVID and PACS.
- Findings suggest potential mechanistic differences between LC and PACS.
- Identifying high-risk individuals can guide targeted public health interventions, such as vaccination strategies.
Abstract:
Long-term sequelae of COVID-19 remain critical public health concerns, with limited therapeutic options available. We conducted two case-control studies among COVID-19 infected individuals in the UK Biobank to explore the association of sociodemographic factors, clinical biomarkers, and comorbidities with the risk of two key phenotypes: Long COVID (LC, defined by patient self-report symptoms) and post-acute complications of SARS-CoV-2 infection (PACS, defined by clinical diagnosis), separately. Our study included 8,668 participants in the LC cohort (32% classified as cases) and 108,407 in the PACS cohort (with 2% being cases). Findings showed that age and sex were associated with both LC and PACS but in opposite directions. Additionally, obesity, socioeconomic deprivation, elevated C-reactive protein, triglyceride, vitamin D, HbA1c, cystatin C, urate, and alanine aminotransferase, and decreased HDL cholesterol and IGF-1, as well as CKD and COPD, were associated with LC. Most of these factors were also significant for PACS, except for alanine aminotransferase and vitamin D. These findings have potential mechanistic implications for the distinction between LC and PACS and can guide clinical implementation of identifying high-risk groups for targeted vaccination or other public health mitigation strategies.
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