Association of Perioperative Glucagon-like Peptide-1 Receptor Agonist Use and Postoperative Outcomes.

Objective: To assess rates of surgical complications and postoperative readmission in diabetic patients with and without active perioperative prescriptions for GLP-1 RA medications.

Background: With the rapid growth of glucagon-like peptide-1 receptor agonist (GLP-1 RA) use in the United States, it is important to understand the potential effect of these drugs on surgical outcomes broadly.

Methods: In this retrospective, observational cohort analysis, patients with a diagnosis of type 1 or type 2 diabetes undergoing a surgical procedure at a multicenter quaternary-care healthcare system between February 2020 to July 2023 were included.

Multicamera simultaneous total internal reflection and interference reflection microscopy.

Interference Reflection Microscopy (IRM) is an optical technique that relies on the interference between the reflected light from an incident beam as it passes through materials of different refractive indices. This technique has been successfully used to image microtubules, biologically important biofilaments with a diameter of 25 nm. However, it is often desirable to image both the microtubule and microtubule interacting proteins simultaneously.

Multi-camera Simultaneous Total Internal Reflection and Interference Reflection Microscopy.

Interference Reflection Microscopy (IRM) is an optical technique that relies on the interference between the reflected light from an incident beam as it passes through materials of different refractive indices. This technique has been successfully used to image microtubules, biologically important biofilaments with a diameter of 25 nm. However, it is often desirable to image both the microtubule and microtubule interacting proteins simultaneously.

Projected impact of climate change on human health in low- and middle-income countries: a systematic review.

Low- and middle-income countries (LMICs) contribute relatively little to global carbon emissions but are recognised to be among the most vulnerable parts of the world to health-related consequences of climate change. To help inform resilient health systems and health policy strategies, we sought to systematically analyse published projections of the impact of rising global temperatures and other weather-related events on human health in LMICs. A systematic search involving multiple databases was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify studies with modelled projections of the future impact of climate change on human health.

ChatGPT Use Among Pediatric Health Care Providers: Cross-Sectional Survey Study.

Background: The public launch of OpenAI's ChatGPT platform generated immediate interest in the use of large language models (LLMs). Health care institutions are now grappling with establishing policies and guidelines for the use of these technologies, yet little is known about how health care providers view LLMs in medical settings. Moreover, there are no studies assessing how pediatric providers are adopting these readily accessible tools.