BackgroundTick-borne encephalitis (TBE) can be a severe neurological disease. Identifying ecological factors that may facilitate tick-borne encephalitis virus (TBEV) circulation in the Netherlands could improve awareness and detection.AimWe aimed to identify ecological factors affecting TBEV circulation in the Netherlands and to determine if there is sustained circulation and spread of the virus.
View Article and Find Full Text PDFCrit Care Sci
January 2025
Background: ANDROMEDA-SHOCK 2 is an international, multicenter, randomized controlled trial comparing hemodynamic phenotype-based, capillary refill time-targeted resuscitation in early septic shock to standard care resuscitation to test the hypothesis that the former is associated with lower morbidity and mortality in terms of hierarchal analysis of outcomes.
Objective: To report the statistical plan for the ANDROMEDA--SHOCK 2 randomized clinical trial.
Methods: We briefly describe the trial design, patients, methods of randomization, interventions, outcomes, and sample size.
Objectives: The extent to which healthcare professionals apply Shared Decision Making (SDM) on hospital wards is still unknown. The aim was to explore the current knowledge of SDM among healthcare professionals and the experienced factors influencing SDM on the wards of Dutch hospitals, regarding both treatment and care decisions.
Setting: Twelve hospital wards in two university medical centres and one teaching hospital.
We propose the addition of usability validation to the extended V3 framework, now "V3+", and describe a pragmatic approach to ensuring that sensor-based digital health technologies can be used optimally at scale by diverse users. Alongside the original V3 components (verification; analytical validation; clinical validation), usability validation will ensure user-centricity of digital measurement tools, paving the way for more inclusive, reliable, and trustworthy digital measures within clinical research and clinical care.
View Article and Find Full Text PDFGrasslands cover approximately a third of the Earth's land surface and account for about a third of terrestrial carbon storage. Yet, we lack strong predictive models of grassland plant biomass, the primary source of carbon in grasslands. This lack of predictive ability may arise from the assumption of linear relationships between plant biomass and the environment and an underestimation of interactions of environmental variables.
View Article and Find Full Text PDF