Type 2 diabetes associates with increased risk of mortality, but how kidney disease contributes to this mortality risk among individuals with type 2 diabetes is not completely understood. Here, we examined 10-year cumulative mortality by diabetes and kidney disease status for 15,046 participants in the Third National Health and Nutrition Examination Survey (NHANES III) by linking baseline data from NHANES III with the National Death Index. Kidney disease, defined as urinary albumin/creatinine ratio $30 mg/g and/ or estimated GFR #60 ml/min per 1.73 m 2 , was present in 9.4% and 42.3% of individuals without and with type 2 diabetes, respectively. Among people without diabetes or kidney disease (reference group), 10-year cumulative all-cause mortality was 7.7% (95% confidence interval [95% CI], 7.0%-8.3%), standardized to population age, sex, and race. Among individuals with diabetes but without kidney disease, standardized mortality was 11.5% (95% CI, 7.9%-15.2%), representing an absolute risk difference with the reference group of 3.9% (95% CI, 0.1%-7.7%), adjusted for demographics, and 3.4% (95% CI, 20.3% to 7.0%) when further adjusted for smoking, BP, and cholesterol. Among individuals with both diabetes and kidney disease, standardized mortality was 31.1% (95% CI, 24.7%-37.5%), representing an absolute risk difference with the reference group of 23.4% (95% CI, 17.0%-29.9%), adjusted for demographics, and 23.4% (95% CI, 17.2%-29.6%) when further adjusted. We observed similar patterns for cardiovascular and noncardiovascular mortality. In conclusion, those with kidney disease predominantly account for the increased mortality observed in type 2 diabetes.

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Background Fibroblast growth factor-23 (FGF-23) is a phosphate regulatory hormone that directly stimulates left ventricular hypertrophy in experimental models. The role of FGF-23 in cardiovascular disease development in the general population is unclear. We tested associations of FGF-23 with major subclinical and clinical cardiovascular disease outcomes in a large prospective cohort. Methods and Results We evaluated 6,547 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) who were initially free of cardiovascular disease. We measured serum FGF-23 using the Kainos immunoassay. The MESA measured left ventricular (LV) mass by magnetic resonance imaging, coronary calcium (CAC) by computed tomography, and carotid intima-medial thickness (IMT) by ultrasound. The MESA adjudicated incident heart failure, coronary heart disease, and stoke by medical record review. After adjustment, the highest FGF-23 quartile was associated with an estimated 2.4 gram greater LV mass (95% CI 0.4, 4.5 greater) and a 26% greater odds of higher CAC scores (95% CI 9% to 46% greater) compared to the lowest quartile. Over 7.5 years follow-up, each 20-pg/mL higher FGF-23 concentration was associated with a 19% greater risk of heart failure (95% CI 3% to 37% greater) and a 14% greater risk of coronary heart disease (95% CI 1% to 28% greater). FGF-23 was not associated with carotid IMT or stroke. Conclusions Higher serum FGF-23 concentrations are associated with subclinical cardiac disease and with new heart failure and coronary disease events, but not with carotid IMT or stroke. FGF-23 may be a novel cardiovascular risk factor in the general population.

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IBD is associated with an increased risk of PD, but some of this association might be explained by surveillance bias. 10.1093/ibd/izy190_video1izy190.video15785623138001.

Plots of the receiver operating characteristic (ROC) curve are ubiquitous in medical research. Designed to simultaneously display the operating characteristics at every possible value of a continuous diagnostic test, ROC curves are used in oncology to evaluate screening, diagnostic, prognostic and predictive biomarkers. I reviewed a sample of ROC curve plots from the major oncology journals in order to assess current trends in usage and design elements. My review suggests that ROC curve plots are often ineffective as statistical charts and that poor design obscures the relevant information the chart is intended to display. I describe my new R package that was created to address the shortcomings of existing tools. The package has functions to create informative ROC curve plots, with sensible defaults and a simple interface, for use in print or as an interactive web-based plot. A web application was developed to reach a broader audience of scientists who do not use R.