Implementation of COVID-19 vaccination services in prison in six European countries: translating emergency intervention into routine life-course vaccination.

BACKGROUND: Evidence has shown that the risk of transmission of SARS-CoV-2 is much higher in prisons than in the community. The release of the COVID-19 vaccine and the recommendation by WHO to include prisons among priority settings have led to the inclusion of prisons in national COVID-19 vaccination strategies. Evidence on prison health and healthcare services provision is limited and often focuses on a single country or institution due to the multiple challenges of conducting research in prison settings. The present study was done in the framework of the EU-founded project RISE-Vac. It aimed to analyse the best practices and challenges applied in implementing COVID-19 universal vaccination services during the pandemic to support future expansion of routine life course vaccination services for people living in prison (PLP). METHODS: Two online cross-sectional surveys were designed and piloted: survey1 on prison characteristics and (non-COVID-19) immunisation practices; survey2 on the implementation and coverage of COVID-19 vaccination with open-ended questions for thematic analysis. Each RISE-Vac project partner distributed the questionnaire to one or two prisons in their country. Answers were collected from eight European prisons' directors or medical directors between November 2021-May 2022. RESULTS: According to our findings, the implementation modalities of COVID-19 vaccination services in the surveyed prisons were effective in improving PLP vaccination coverage. Strategies for optimal management of the vaccination campaign included: periodic time slot for PLP vaccination; new staff recruitment and task shifting; distribution of informational material both to PLP and prison staff. Key challenges included continuity of care after release, immunisation information system, and vaccine hesitancy. CONCLUSIONS: To the best of our knowledge, this is the first study describing the implementation of COVID-19 vaccination services in European prisons, suggesting that the expansion of vaccination provision in prison is possible. There is no unique solution that will fit every country but commonalities likely to be important in the design and implementation of future vaccination campaigns targeting PLP emerged. Increased availability of vaccination services in prison is not only possible, but feasible and highly desirable, and can contribute to the reduction of health inequalities.

Baseline Assessment of Serum Cytokines Predicts Clinical and Endoscopic Response to Ustekinumab in Patients With Crohn's Disease: A Prospective Pilot Study.

BACKGROUND: No biomarkers are currently available to predict therapeutic response to ustekinumab (UST) in Crohn's disease (CD). The aim of this prospective study was to identify 1 or more cytokines able to predict mucosal healing in patients with CD treated with UST. METHODS: We prospectively enrolled consecutive CD patients treated with UST. At weeks 0 (baseline), 24, and 48, a panel of serum cytokines was measured by a fluorescence assay. At the same time points, fecal calprotectin (FC) was assessed. A colonoscopy was performed at baseline and at week 48, where therapeutic outcome was evaluated in terms of mucosal healing. RESULTS: Out of 44 patients enrolled, 22 (50%) achieved mucosal healing at the end of follow-up. Response was associated with higher interleukin (IL)-23 levels (P < .01). Fecal calprotectin levels decreased over time in responders but did not change in nonresponders (test for the interaction between time and mucosal healing, P < .001). CONCLUSIONS: This pilot study showed that IL-23 and FC could be reliable biomarkers in predicting therapeutic outcome to UST therapy in CD. In particular, the correlation between baseline serum levels of IL-23 and mucosal healing at 48 weeks is particularly strong, paving the way for its use to drive therapeutic decisions.

This prospective pilot study showed that the assessment of IL-23 levels at baseline could predict clinical and endoscopic outcomes to ustekinumab therapy in Crohn's disease. Testing this biomarker before starting a biological therapy could be useful for a personalized choice.

BMI and breast cancer risk around age at menopause.

BACKGROUND: A high body mass index (BMI, kg/m2) is associated with decreased risk of breast cancer before menopause, but increased risk after menopause. Exactly when this reversal occurs in relation to menopause is unclear. Locating that change point could provide insight into the role of adiposity in breast cancer etiology. METHODS: We examined the association between BMI and breast cancer risk in the Premenopausal Breast Cancer Collaborative Group, from age 45 up to breast cancer diagnosis, loss to follow-up, death, or age 55, whichever came first. Analyses included 609,880 women in 16 prospective studies, including 9956 who developed breast cancer before age 55. We fitted three BMI hazard ratio (HR) models over age-time: constant, linear, or nonlinear (via splines), applying piecewise exponential additive mixed models, with age as the primary time scale. We divided person-time into four strata: premenopause; postmenopause due to natural menopause; postmenopause because of interventional loss of ovarian function (bilateral oophorectomy (BO) or chemotherapy); postmenopause due to hysterectomy without BO. Sensitivity analyses included stratifying by BMI in young adulthood, or excluding women using menopausal hormone therapy. RESULTS: The constant BMI HR model provided the best fit for all four menopausal status groups. Under this model, the estimated association between a five-unit increment in BMI and breast cancer risk was HR=0.87 (95% CI: 0.85, 0.89) before menopause, HR=1.00 (95% CI: 0.96, 1.04) after natural menopause, HR=0.99 (95% CI: 0.93, 1.05) after interventional loss of ovarian function, and HR=0.88 (95% CI: 0.76, 1.02) after hysterectomy without BO. CONCLUSION: The BMI breast cancer HRs remained less than or near one during the 45-55 year age range indicating that the transition to a positive association between BMI and risk occurs after age 55.