Context Chronic kidney disease (CKD) is common. Kidney disease severity can be
classified by estimated glomerular filtration rate (GFR) and albuminuria, but more accurate …

This paper is Part 1 of a five-part series covering practical issues in the performance of decision
analysis. The intended audience is individuals who are learning how to perform decision …

ContextA predictive model of mortality in heart failure may be useful for clinicians to improve
communication with and care of hospitalized patients.ObjectivesTo identify predictors of …

Context Chronic kidney disease (CKD) is prevalent in older individuals, but the risk implications
of low estimated glomerular filtration rate (eGFR) and high albuminuria across the full …

Background Diabetes mellitus and hypertension are risk factors for acute kidney injury (AKI).
Whether estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio (ACR…

Background: Although measuring albuminuria is the preferred method for defining and
staging chronic kidney disease (CKD), total urine protein or dipstick protein is often measured …

Background Change in albuminuria as a surrogate endpoint for progression of chronic kidney
disease is strongly supported by biological plausibility, but empirical evidence to support …

Background: Patients with chronic kidney disease (CKD) are at increased risk for kidney
failure, cardiovascular events, and all-cause mortality. Accurate models are needed to predict …

Clinical decisions often have long-term implications. Analysts encounter difficulties when
employing conventional decision-analytic methods to model these scenarios. This occurs …

Background. Hypertension is the prime contributor for cardiovascular mortality in the
dialysis population. Peritoneal dialysis (PD) has been thought to improve blood pressure (BP) …