BACKGROUND Understanding the risk for type 2 diabetes (T2D) early in the life course is important for prevention. Whether genetic information improves prediction models for diabetes from adolescence into adulthood is unknown. METHODS With the use of data from 1030 participants in the Bogalusa Heart Study aged 12 to 18 followed into middle adulthood, we built Cox models for incident T2D with r...

Background—The objective of this study was to evaluate the added predictive ability of the CHA2DS2VASc prediction rule for stroke and death in a nonanticoagulated population of patients with atrial fibrillation. Methods and Results—We included 1603 nonanticoagulated patients with incident atrial fibrillation from a Danish prospective cohort study of 57 053 middle-aged men and women. The Net Rec...

The objective of the study was to define the specific plasma protein signature that predicts the increase of the inflammation marker C-reactive protein from index day to next-day using proteome analysis and novel bioinformatics tools. We performed a prospective study of 91 incident kidney transplant recipients and quantified 359 plasma proteins simultaneously using nano-Liquid-Chromatography-Ta...

Improvement of risk prediction for atherosclerotic cardiovascular disease (ASCVD) is needed. Both ambulatory blood pressure (ABP) and biomarkers amino-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity C-reactive protein and cystatin C improve risk prediction but they have not been evaluated in relation to each other. We analyzed whether NT-proBNP, high-sensitivity C-reactive...

BACKGROUND This study aimed to validate the Korean Genome Epidemiology Study (KoGES) risk score to predict the 4-year risk of hypertension (HT) in a large nationwide sample, and compare its discrimination and calibration with the Framingham and blood pressure (BP)-only models. METHODSANDRESULTS This study analyzed 69,918 subjects without HT at baseline from the National Sample Cohort in the N...

The performance of prediction models can be assessed using a variety of methods and metrics. Traditional measures for binary and survival outcomes include the Brier score to indicate overall model performance, the concordance (or c) statistic for discriminative ability (or area under the receiver operating characteristic [ROC] curve), and goodness-of-fit statistics for calibration.Several new m...

BACKGROUND AND PURPOSE Several risk scores have been developed to predict the stroke risk after transient ischemic attack (TIA). However, the validation of these scores in different cohorts is still limited. The objective of this study was to elucidate whether these scores were able to predict short-term and long-term risks of stroke in patients with TIA. METHODS From the Fukuoka Stroke Regis...

BACKGROUND Contrast-induced acute kidney injury (CI-AKI) after percutaneous coronary intervention is associated with adverse short- and long-term outcomes. However, identification of patients at risk for CI-AKI is challenging. Using a large contemporary randomized trial database of patients with ST-segment-elevation myocardial infarction, we therefore sought to examine whether admission B-type ...