Tricia Roberts

Excerpts From the US Renal Data System 2009 Annual Data Report

This 21st US Renal Data System Annual Data Report covers data through 2007, and again includes a section on chronic kidney disease (CKD) in the United States. Using NHANES and employer group health plan data, we estimate the relationship between kidney disease markers and mortality risk and the likelihood of blood pressure and lipid control by CKD stage; illustrate use of the new ICD-9-CM CKD diagnosis codes; and report on morbidity, mortality, care and costs during the transition to ESRD. New chapters address CKD patient care, the transition to ESRD, and acute kidney injury. In 2007, 111,000 patients started end-stage renal disease (ESRD) therapy, and the prevalent population reached 527,283 (including 368,544 dialysis patients); 17,513 transplants were performed, and 158,739 patients had a functioning graft at year’s end. Program expenditures reached

United States Renal Data System 2008 Annual Data Report Abstract

35.3 billion, with

Diabetes mellitus and CKD awareness: the Kidney Early Evaluation Program (KEEP) and National Health and Nutrition Examination Survey (NHANES).

23.9 billion from Medicare (accounting for 5.8% of total Medicare expenditures). The incident rate fell 2.1%, to 354 per million. Fistula use in prevalent patients declined 2.6 percent; catheter use continues to be a concern. The percentage of patients with hemoglobin levels above 13 g/dl has fallen since 2006, but levels in the incident population frequently exceed 12. First-year mortality and morbidity among hemodialysis patients—particularly the increasing rate of hospitalizations due to infections—continue to be major concerns, and pediatric patient survival has not improved. The public health impact of kidney disease is larger than previously appreciated, and early detection, education, intervention, and risk factor control need to address the heavy burden of cardiovascular disease and adverse events in this vulnerable population.

Diabetic Cardiovascular Disease Predicts Chronic Kidney Disease Awareness in the Kidney Early Evaluation Program

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Mortality from Cancer among US Hemodialysis Patients, 1995–2005

BACKGROUND Diabetes contributes to increased morbidity and mortality in patients with chronic kidney disease (CKD). We sought to describe CKD awareness and identify factors associated with optimal glycemic control in diabetic and nondiabetic individuals both aware and unaware of CKD. METHODS This cross-sectional analysis compared Kidney Early Evaluation Program (KEEP) and National Health and Nutrition and Examination Survey (NHANES) 1999 to 2006 participants with diabetes and CKD. CKD was defined and staged using glomerular filtration rate (estimated by using the 4-variable Modification of Diet in Renal Disease Study equation) and urine albumin-creatinine ratio. NHANES defined diabetes as self-reported diabetes or fasting plasma blood glucose level of 126 mg/dL or greater, and KEEP as self-reported diabetes or diabetic retinopathy, use of diabetes medications, fasting blood glucose level of 126 mg/dL or greater, or nonfasting glucose level of 200 mg/dL or greater. RESULTS Of 77,077 KEEP participants, 20,200 (26.2%) were identified with CKD and 23,082 (29.9%) were identified with diabetes. Of 9,536 NHANES participants, 1,743 (18.3%) were identified with CKD and 1,127 (11.8%) were identified with diabetes. Of KEEP participants with diabetes and CKD (n = 7,853), 736 (9.4%) were aware of CKD. Trends in lack of CKD awareness were similar for KEEP participants with and without diabetes. Unaware participants with and without diabetes identified with stages 1 and 2 CKD were less likely to reach target glucose levels, defined as fasting glucose level less than 126 mg/dL or nonfasting glucose level less than 140 mg/dL, than those with stages 3 to 5 (odds ratio, 0.69; 95% confidence interval, 0.62 to 0.78; odds ratio, 0.69; 95% confidence interval, 0.58 to 0.81; P < 0.001, respectively). CONCLUSION Our data support that KEEP, as a targeted screening program, is a more enriched population with CKD and comorbid diabetes than NHANES. In addition, our findings highlight the relationship between dysglycemia and early stages of unidentified CKD.

Controlling confounding of treatment effects in administrative data in the presence of time-varying baseline confounders.

Aims: Lack of chronic kidney disease (CKD) awareness is common. Recent data suggest that the presence of concurrent diabetes may heighten CKD awareness, but current data have not supported the hypothesis that healthcare delivery or insurance status improves awareness in the diabetic population. Diabetes is associated with high cardiovascular disease (CVD) morbidity, especially in patients with CKD. We hypothesized that a highly prevalent co-morbid condition such as CVD in patients with diabetes would predict CKD awareness. Methods: We utilized data from theNational Kidney Foundation-Kidney Early Evaluation Program (KEEPTM), a large screening program designed to identify high-risk individuals for CKD and promote awareness. Results: Among 77,077 participants, CKD was identified in 20,200 and diabetes in 23,082. Prevalence of CVD was higher in participants with than without diabetes (39.5 vs. 22.0%) and in stage 3–5 compared to stage 1–2 CKD (43.3 vs. 34.4%). Patients with diabetes and CVD had a higher level of awareness than those without diabetes (8.2 vs. 2.2%). Among patients with diabetes and CVD, the presence of congestive heart failure was a better predictor of awareness [odds ratio (OR) 1.84; 95% confidence interval (CI) 1.40–2.43] than endpoints such as myocardial infarction or stroke [OR 1.35 (95% CI 1.04–1.73) and OR 1.34 (95% CI 1.04–1.72), respectively]. Conclusions: While prevalence of CKD awareness remained low, our data suggest that in patients with diabetes the presence of CVD was associated with increased awareness in a targeted screening program for CKD awareness.

US renal data system 2013 annual data report

Background/Aims: Concern has emerged that erythropoiesis-stimulating agents (ESAs) may decrease survival for cancer patients; many patients beginning dialysis have previous cancer diagnoses. As ESA doses have more than tripled in the USA since ESAs were introduced, we aimed to compare annual trends in cancer-specific mortality rates among incident maintenance hemodialysis patients. Methods: This national, retrospective, incident cohort study included 873,493 patients aged ≧20 years who initiated hemodialysis between 1995 and 2005. Cancer-specific mortality rates were adjusted for baseline characteristics, determined from the Centers for Medicare & Medicaid Services (CMS) Medical Evidence Report (form CMS-2728). Follow-up extended to December 31, 2006. Cause of death was ascertained from the Death Notification (form CMS-2746). Results: Crude first-year cancer-specific mortality rates, per 1,000 patient-years, 1995–2005, were as follows: 13.8, 13.7, 14.2, 14.9, 13.8, 15.4, 15.4, 16.5, 16.4, 15.8, 15.2. Mortality rates remained stable year to year within subsequent follow-up intervals; for the first and last annual cohorts, mortality rates by follow-up interval were: year 2, 9.1 and 8.7; year 3, 8.6 and 8.3; years 4–5, 7.9 and 6.8. Annual comparisons were similar after adjustment for patient characteristics at dialysis initiation. Conclusion: Cancer-specific mortality rates remained stable among US hemodialysis patients between 1995 and 2005.

Excerpts from the United States Renal Data System 2007 annual data report.

Confounding, a concern in nonexperimental research using administrative claims, is nearly ubiquitous in claims‐based pharmacoepidemiology studies. A fixed‐length look‐back window for assessing comorbidity from claims is common, but it may be advantageous to use all historical claims. We assessed how the strength of association between a baseline‐identified condition and subsequent mortality varied by when the condition was measured and investigated methods to control for confounding.