Upper Limit on the Photoproduction Cross Section of the Spin-Exotic π_{1}(1600).

The spin-exotic hybrid meson π_{1}(1600) is predicted to have a large decay rate to the ωππ final state. Using 76.6  pb^{-1} of data collected with the GlueX detector, we measure the cross sections for the reactions γp→ωπ^{+}π^{-}p, γp→ωπ^{0}π^{0}p, and γp→ωπ^{-}π^{0}Δ^{++} in the range E_{γ}=8-10  GeV.

Seeking consensus on dilemmas related to euthanasia in dementia based on an advance directive: a Delphi study from a medical, ethical and legal perspective.

Euthanasia in dementia based on advance euthanasia directives (AEDs) is possible within the Dutch Euthanasia law. Yet, physicians struggle with the responsibility of interpreting the law's open norms in cases of advanced dementia, which includes the fulfilment of the due care criteria. This Delphi study aims to analyse arguments and seek consensus from medical, ethical and legal perspectives on ethical dilemmas in such cases.

Implementation of multidisciplinary team decisions on the management of complex bone and joint infections: an observational study.

Background: Multidisciplinary team (MDT) management of prosthetic joint infections (PJI) and other bone and joint infections (BJI) is increasingly put into practice. However, studies evaluating the performance of MDTs in this field are scarce. We aimed to assess our MDT for complex BJI by determining the implementation rate of team decisions, analyzing factors associated with non-implementation and evaluating the clinical outcome of patients in whom MDT decisions were not implemented.

Innate immune response after BNT162b2 COVID-19 vaccination associates with reactogenicity.

Background: The innate immune response is important for the development of the specific adaptive immunity, however it may also be associated with reactogenicity after vaccination. We explore the association between innate responsiveness, reactogenicity, and antibody response after first COVID-19 vaccination.

Methods: We included 146 healthy Dutch individuals aged 12-59 who received their first BNT162b2 (Comirnaty, Pfizer) COVID-19 vaccination.

Development and validation of artificial intelligence models for early detection of postoperative infections (PERISCOPE): a multicentre study using electronic health record data.

Background: Postoperative infections significantly impact patient outcomes and costs, exacerbated by late diagnoses, yet early reliable predictors are scarce. Existing artificial intelligence (AI) models for postoperative infection prediction often lack external validation or perform poorly in local settings when validated. We aimed to develop locally valid models as part of the PERISCOPE AI system to enable early detection, safer discharge, and more timely treatment of patients.