Health, socioeconomic and genetic predictors of COVID-19 vaccination uptake: a nationwide machine-learning study (preprint)

Reduced participation in COVID-19 vaccination programs is a key societal concern. Understanding factors associated with vaccination uptake can help in planning effective immunization programs. We considered 2,890 health, socioeconomic, familial, and demographic factors measured on the entire Finnish population aged 30 to 80 (N=3,192,505) and genome-wide information for a subset of 273,765 individuals. Risk factors were further classified into 12 thematic categories and a machine learning model was trained for each category. The main outcome was uptaking the first COVID-19 vaccination dose by 31.10.2021, which has occurred for 90.3% of the individuals. The strongest predictor category was labor income in 2019 (AUC evaluated in a separate test set = 0.710, 95% CI: 0.708-0.712), while drug purchase history, including 376 drug classes, achieved a similar prediction performance (AUC = 0.706, 95% CI: 0.704-0.708). Higher relative risks of being unvaccinated were observed for some mental health diagnoses (e.g. dissocial personality disorder, OR=1.26, 95% CI : 1.24-1.27 ) and when considering vaccination status of first-degree relatives (OR=1.31, 95% CI:1.31-1.32 for unvaccinated mothers) We derived a prediction model for vaccination uptake by combining all the predictors and achieved good discrimination (AUC = 0.801, 95% CI: 0.799-0.803). The 1% of individuals with the highest risk of not vaccinating according to the model predictions had an average observed vaccination rate of only 18.8%. We identified 8 genetic loci associated with vaccination uptake and derived a polygenic score, which was a weak predictor of vaccination status in an independent subset (AUC=0.612, 95% CI: 0.601-0.623). Genetic effects were replicated in an additional 145,615 individuals from Estonia (genetic correlation=0.80, 95% CI: 0.66-0.95) and, similarly to data from Finland, correlated with mental health and propensity to participate in scientific studies. Individuals at higher genetic risk for severe COVID-19 were less likely to get vaccinated (OR=1.03, 95% CI: 1.02-1.05). Our results, while highlighting the importance of harmonized nationwide information, not limited to health, suggest that individuals at higher risk of suffering the worst consequences of COVID-19 are also those less likely to uptake COVID-19 vaccination. The results can support evidence-informed actions for COVID-19 and other areas of national immunization programs.

Sleep apnoea is a risk factor for severe COVID-19 (preprint)

ObjectiveTo investigate if obstructive sleep apnoea (OSA) is an independent risk factor for severe COVID-19. To examine whether the risk for contracting COVID-19 is elevated among OSA patients. Design and settingRegistry based retrospective case-control study using Finnish nationwide health registries and the FinnGen Study cohort. ParticipantsInformation regarding OSA diagnosis and COVID-19 infection was extracted from the FinnGen study (N=260,405) with a total of 305 patients who had a recorded PCR-validated COVID-19 infection including 26 (8.5%) individuals who were also OSA patients. Severe COVID-19 (N=83; 27.2%) was defined as an infection requiring hospitalization. Among the hospitalized individuals there were 16 (19.3%) with OSA diagnosis. In addition, we also included in our analysis previously reported risk factors for both severe COVID-19 or risk factors and comorbidities for OSA from FinnGen. Main outcome measuresOSA diagnosis, information concerning COVID-19 infection such as hospitalization, were derived from Finnish National Hospital Discharge Registry, Causes of Death Registry and the National Infectious Diseases Registry. ResultsWe show that OSA is a risk factor for COVID-19 hospitalization independent from age, sex, body mass index (BMI), hypertension, diabetes, coronary heart disease (CHD), asthma and chronic obstructive pulmonary disease (COPD), (p-unadjusted=1.04x10-4, OR-adjusted=5.24 [95%CI 1.33 to 23.43], p-adjusted=0.022). OSA was not associated with the risk of contracting COVID-19 (p=0.49). ConclusionWhile an OSA patients risk of contracting COVID-19 is the same as non-OSA individuals, the OSA patients have a five-fold risk to be hospitalized when affected by COVID-19 than non-OSA individuals. Our findings suggest that, in assessment of patients with suspected or confirmed COVID-19 infection, OSA needs to be recognized as one of the comorbidity risk factors for developing a severe form of the disease.