Pinto Bean Pressure Wraps: A Novel Approach to Treating Digital Warts.

Identifying an optimal treatment method for verruca vulgaris can be a frustrating challenge for clinicians. We describe the use of a pinto bean pressure wrap to induce ischemic change in digital warts. This novel technique provides a low-cost, low-risk, and nearly pain-free home-based treatment option with response rates similar to those of other commonly employed methods.

Biomarkers.

Background: Highly specific ATN plasma biomarker assays for neurodegenerative diseases have been developed, but their associations with cognition vary in different populations. Kidney disease, common in diabetes, may decrease the predictive precision of those biomarkers. The aim of this study was to characterize for the first time the relationships between plasma ATN biomarkers and cognitive function in adults with T1D.

Biomarkers.

Background: Cognitive dysfunction is more common in individuals with type 1 diabetes (T1D) compared to the general population. Blood-based biomarkers are accurate in identifying early signs of neurodegeneration. However, studies using these biomarkers in T1D are lacking.

Public Health.

Background: Behavioral interventions designed to promote healthy lifestyles have the potential to slow biological aging and increase health span. Multidomain interventions that simultaneously target multiple lifestyle behaviors may particularly be promising by increasing the number of interrelated processes that might be benefited. Deficit accumulation frailty indices (FIs) are increasingly used as measures of aging and health status in clinical trials and cohort studies.

Developing Topics.

Introduction: Over 9 million Americans are projected to have dementia by 2030, and adults with mild cognitive impairment (MCI), a potential pre-cursor to dementia, will also rise. With recent and emerging clinical trial evidence for interventions to slow the progression of MCI to dementia, identification of persons in primary care with undiagnosed early-stage cognitive impairment may provide opportunity for preventive intervention.

Methods: A Machine Learning (ML)-based prediction model trained using data from the electronic health record was applied to patients without formal diagnoses of cognitive impairment who were currently seen in selected primary care practices.