Post-COVID conditions following COVID-19 vaccination: a retrospective matched cohort study of patients with SARS-CoV-2 infection.

COVID-19 vaccinations protect against severe illness and death, but associations with post-COVID conditions (PCC) are less clear. We aimed to evaluate the association between prior COVID-19 vaccination and new-onset PCC among individuals with SARS-CoV-2 infection across eight large healthcare systems in the United States. This retrospective matched cohort study used electronic health records (EHR) from patients with SARS-CoV-2 positive tests during March 2021-February 2022. Vaccinated and unvaccinated COVID-19 cases were matched on location, test date, severity of acute infection, age, and sex. Vaccination status was ascertained using EHR and integrated data on externally administered vaccines. Adjusted relative risks (RRs) were obtained from Poisson regression. PCC was defined as a new diagnosis in one of 13 PCC categories 30 days to 6 months following a positive SARS-CoV-2 test. The study included 161,531 vaccinated COVID-19 cases and 161,531 matched unvaccinated cases. Compared to unvaccinated cases, vaccinated cases had a similar or lower risk of all PCC categories except mental health disorders (RR: 1.06, 95% CI: 1.02-1.10). Vaccination was associated with ≥10% lower risk of sensory (RR: 0.90, 0.86-0.95), circulatory (RR: 0.88, 0.83-0.94), blood and hematologic (RR: 0.79, 0.71-0.89), skin and subcutaneous (RR: 0.69, 0.66-0.72), and non-specific COVID-19 related disorders (RR: 0.53, 0.51-0.56). In general, associations were stronger at younger ages but mostly persisted regardless of SARS-CoV-2 variant period, receipt of ≥3 vs. 1-2 vaccine doses, or time since vaccination. Pre-infection vaccination was associated with reduced risk of several PCC outcomes and hence may decrease the long-term consequences of COVID-19.

Screening Practices and Risk Factors for Co-Infection with Latent Tuberculosis and Hepatitis B Virus in an Integrated Healthcare System - California, 2008-2019.

BACKGROUND: Hepatitis B virus (HBV) and latent tuberculosis infection are associated with a significant global burden, but both are underdiagnosed and undertreated. We described the screening patterns and risk factors for co-infection with latent tuberculosis and HBV within a large healthcare system. METHODS: Using data from Kaiser Permanente Southern California during 2008-2019, we described HBV infections, defined as a positive HBV surface antigen, e-antigen, or DNA test, and latent tuberculosis, defined as a positive Mantoux tuberculin skin test or interferon-gamma release assay test. We estimated adjusted odds ratios (aOR) for co-infection among screened adults with either infection. RESULTS: Among 1997 HBV patients screened for latent tuberculosis, 23.1% were co-infected, and among 35,820 patients with latent tuberculosis screened for HBV, 1.3% were co-infected. Among HBV patients, co-infection risk was highest among Asians compared with White race/ethnicity (29.4% vs 5.7%, aOR 4.78; 95% confidence interval [CI], 2.75-8.31), and persons born in a high-incidence country compared with low-incidence countries (31.0% vs 6.6%; aOR 4.19; 95% CI, 2.61-6.73). For patients with latent tuberculosis, risk of co-infection was higher among Asian (aOR 9.99; 95% CI, 5.79-17.20), or Black race/ethnicity (aOR 3.33; 95% CI, 1.78-6.23) compared with White race/ethnicity. Persons born in high-incidence countries had elevated risk of co-infection compared with persons born in low-incidence countries (aOR 2.23; 95% CI, 1.42-3.50). However, Asians or persons born in high-incidence countries were screened at similar rates to other ethnicities or persons born in low-incidence countries. CONCLUSIONS: Latent tuberculosis risk is elevated among HBV patients, and vice versa. Risk of co-infection was highest among persons born in high-incidence countries and Asians. These findings support recent guidelines to increase HBV and tuberculosis screening, particularly among persons with either infection.

Independent relevance of adiposity measures to coronary heart disease risk among 0.5 million adults in UK Biobank.

BACKGROUND: Evidence on body fat distribution shows opposing effects of waist circumference (WC) and hip circumference (HC) for coronary heart disease (CHD). We aimed to investigate the causality and the shape of such associations. METHODS: UK Biobank is a prospective cohort study of 0.5 million adults aged 40-69 years recruited between 2006 and 2010. Adjusted hazard ratios (HRs) for the associations of measured and genetically predicted body mass index (BMI), WC, HC and waist-to-hip ratio with incident CHD were obtained from Cox models. Mendelian randomization (MR) was used to assess causality. The analysis included 456 495 participants (26 225 first-ever CHD events) without prior CHD. RESULTS: All measures of adiposity demonstrated strong, positive and approximately log-linear associations with CHD risk over a median follow-up of 12.7 years. For HC, however, the association became inverse given the BMI and WC (HR per usual SD 0.95, 95% CI 0.93-0.97). Associations for BMI and WC remained independently positive after adjustment for other adiposity measures and were similar (1.14, 1.13-1.16 and 1.18, 1.15-1.20, respectively), with WC displaying stronger associations among women. Blood pressure, plasma lipids and dysglycaemia accounted for much of the observed excess risk. MR results were generally consistent with the observational, implying causality. CONCLUSIONS: Body fat distribution measures displayed similar associations with CHD risk as BMI except for HC, which was inversely associated with CHD risk (given WC and BMI). These findings suggest that different measures of body fat distribution likely influence CHD risk through both overlapping and independent mechanisms.