How can more women with pre-existing type 1 and type 2 diabetes be supported to prepare for pregnancy after a baby loss? A qualitative exploration of lived experiences in the UK.

Objectives: Explore, understand and analyse how women with pre-existing diabetes can be better supported during the inter-pregnancy interval-the time after a baby loss and before a subsequent pregnancy.

Design: Qualitative, semi-structured online interviews took place between November 2020 and July 2021. Data were analysed using Reflexive Thematic Analysis.

Oncologic Outcomes of Sequential Intravesical Gemcitabine and Docetaxel Compared with Bacillus Calmette-Guérin in Patients with Bacillus Calmette-Guérin-Unresponsive Non-Muscle Invasive Bladder Cancer.

Background And Objective: Non-muscle-invasive bladder cancer (NMIBC) patients treated with additional bacillus Calmette-Guérin (BCG) may become unresponsive to BCG. Recently, sequential intravesical gemcitabine and docetaxel (gem/doce) are being used for NMIBC. This study aims to compare oncologic outcomes between sequential intravesical gem/doce versus additional BCG in patients with BCG-unresponsive NMIBC.

Are Nurse Residents Ready for Evidence-Based Practice?

A nursing professional development practitioner and clinical nurse specialists developed a curriculum, including supportive materials to complete evidence-based practice projects, as part of a new nurse residency program. Residents were guided through the evidence-based practice process. Challenges uncovered during the implementation phase suggested a need to reevaluate resident readiness.

IN VIVO CELL-TYPE AND BRAIN REGION CLASSIFICATION VIA MULTIMODAL CONTRASTIVE LEARNING.

Current electrophysiological approaches can track the activity of many neurons, yet it is usually unknown which cell-types or brain areas are being recorded without further molecular or histological analysis. Developing accurate and scalable algorithms for identifying the cell-type and brain region of recorded neurons is thus crucial for improving our understanding of neural computation. In this work, we develop a multimodal contrastive learning approach for neural data that can be fine-tuned for different downstream tasks, including inference of cell-type and brain location.

Interventions in women with type 2 diabetes mellitus in the pre-pregnancy, pregnancy and postpartum periods to optimise care and health outcomes: A systematic review.

Aims: Type 2 diabetes is a chronic condition affecting increasing numbers of women of reproductive age. Recent UK data show more severe adverse offspring outcomes (stillbirth, neonatal death) than in infants of those with Type 1 diabetes. This systematic review aimed to evaluate randomised controlled trials (RCTs) undertaken in the pre-pregnancy, pregnancy and the postpartum periods in women with Type 2 diabetes, to optimise care and health outcomes.