Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models.

Accurate Alzheimer's Disease (AD) progression prediction is essential for early intervention. The TADPOLE challenge, involving 92 algorithms, used multimodal biomarkers to predict future clinical diagnosis, cognition, and ventricular volume. The winning algorithm, FROG, utilized a Longitudinal-to-Cross-sectional (L2C) transformation to convert variable longitudinal histories into fixed-length feature vectors, which contrasted with most existing approaches that fitted models to entire longitudinal histories, e.

Evaluation of Brain Age as a Specific Marker of Brain Health.

Brain age is a powerful marker of brain health. Furthermore, brain age models are trained on large datasets, thus giving them a potential advantage in predicting outcomes - much like the success of finetuning large language models for specific applications. However, it is also well-accepted in machine learning that models trained to directly predict specific outcomes (i.

Active Medical Learner Engagement Results in the Discovery That One Size Does Not Fit All in Overcoming COVID-19 Vaccine Hesitancy.

Vaccine hesitancy is an ongoing public health concern defined as the refusal of a vaccine that is readily available. Therefore, we developed a project to explore why patients in a safety net medical center were hesitant or refused the COVID-19 vaccine. The project was conducted by healthcare learners to promote "learning by doing".

A Prospective Observational Study Assessing the Impacts of Health Literacy and Psychosocial Determinants of Health on 30-day Readmission Risk.

Our objective was to assess the utility of an assessment battery capturing health literacy (HL) and biopsychosocial determinants of health in predicting 30-day readmission in comparison to a currently well-adopted readmission risk calculator. We also sought to capture the distribution of inpatient HL, with emphasis on inadequate and marginal HL (an intermediate HL level). A prospective observational study was conducted to obtain HL and biopsychosocial data on general medicine inpatients admitted to the UCLA health system.

Clinicians can independently predict 30-day hospital readmissions as well as the LACE index.

Background: Significant effort has been directed at developing prediction tools to identify patients at high risk of unplanned hospital readmission, but it is unclear what these tools add to clinicians' judgment. In our study, we assess clinicians' abilities to independently predict 30-day hospital readmissions, and we compare their abilities with a common prediction tool, the LACE index.

Methods: Over a period of 50 days, we asked attendings, residents, and nurses to predict the likelihood of 30-day hospital readmission on a scale of 0-100% for 359 patients discharged from a General Medicine Service.

Intravenous non-opioid analgesia for peri- and postoperative pain management: a scientific review of intravenous acetaminophen and ibuprofen.

Pain is a predictable consequence following operations, but the management of postoperative pain is another challenge for anesthesiologists and inappropriately controlled pain may lead to unwanted outcomes in the postoperative period. Opioids are indeed still at the mainstream of postoperative pain control, but solely using only opioids for postoperative pain management may be connected with risks of complications and adverse effects. As a consequence, the concept of multimodal analgesia has been proposed and is recommended whenever possible.

Sugammadex: A Comprehensive Review of the Published Human Science, Including Renal Studies.

Although neuromuscular block (NMB) allows immobility for airway management and surgical exposure, termination of its effect is limited by and associated with side effects of acetylcholinesterase inhibitors. Sugammadex is a selective relaxant binding agent that has been shown to reverse deep NMB, even when administered 3 minutes following a 1.2 mg/kg dose of rocuronium.