: Recognition of the importance of clinical learning environments (CLEs) in health professions education has led to calls to evaluate and improve the quality of such learning environments. As CLEs sit at the crossroads of education and healthcare delivery, leadership from both entities should share the responsibility and accountability for this work. Current data collection about the experience and outcomes for learners, faculty, staff, and patients tends to occur in fragmented and siloed ways, and available tools to assess clinical learning environments are limited in scope.
View Article and Find Full Text PDFBackground: Electronic health record (EHR) data is increasingly used to identify patients with chronic kidney disease (CKD). EHR queries used to capture CKD status, identify comorbid conditions, measure awareness by providers, and track adherence to guideline-concordant processes of care have not been validated.
Methods: We extracted EHR data for primary-care patients with two eGFRcreat 15-59 mL/min/1.
The prevalence of end-stage renal disease is rising in the United States, which bears high financial and public health burden. The most common modality of renal replacement therapy (RRT) in the United States is in-center hemodialysis. Many patients report lack of comprehensive and timely education about their treatment options, which may preclude them from participating in home-based dialysis therapies and kidney transplantation evaluation.
View Article and Find Full Text PDFBackground: Obesity is associated with higher end-stage renal disease incidence, but associations with earlier forms of kidney disease remain incompletely characterized.
Methods: We studied the association of body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) with rapid kidney function decline and incident chronic kidney disease in 4573 non-diabetic adults with eGFR ≥ 60 ml/min/1.73m at baseline from longitudinal Multi-Ethnic Study of Atherosclerosis cohort.
Deletion at chromosome 3p21.3 is the earliest and the most frequently observed genetic alteration in lung cancer, suggesting that the region contains tumor suppressor gene(s) (TSG). Identification of those genes may lead to the development both of biomarkers to identify high-risk individuals and novel therapeutics.
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