scholarly journals Impact of poverty and race on pre-end-stage renal disease care among dialysis patients in the United States

2016 ◽  
pp. sfw098 ◽  
Author(s):  
Robert Nee ◽  
Christina M. Yuan ◽  
Frank P. Hurst ◽  
Rahul M. Jindal ◽  
Lawrence Y. Agodoa ◽  
...  
2001 ◽  
Vol 12 (12) ◽  
pp. 2753-2758 ◽  
Author(s):  
Jay L. Xue ◽  
Jennie Z. Ma ◽  
Thomas A. Louis ◽  
Allan J. Collins

ABSTRACT. As the United States end-stage renal disease (ESRD) program enters the new millennium, the continued growth of the ESRD population poses a challenge for policy makers, health care providers, and financial planners. To assist in future planning for the ESRD program, the growth of patient numbers and Medicare costs was forecasted to the year 2010 by modeling of historical data from 1982 through 1997. A stepwise autoregressive method and exponential smoothing models were used. The forecasting models for ESRD patient numbers demonstrated mean errors of −0.03 to 1.03%, relative to the observed values. The model for Medicare payments demonstrated −0.12% mean error. The R2 values for the forecasting models ranged from 99.09 to 99.98%. On the basis of trends in patient numbers, this forecast projects average annual growth of the ESRD populations of approximately 4.1% for new patients, 6.4% for long-term ESRD patients, 7.1% for dialysis patients, 6.1% for patients with functioning transplants, and 8.2% for patients on waiting lists for transplants, as well as 7.7% for Medicare expenditures. The numbers of patients with ESRD in 2010 are forecasted to be 129,200 ± 7742 (95% confidence limits) new patients, 651,330 ± 15,874 long-term ESRD patients, 520,240 ± 25,609 dialysis patients, 178,806 ± 4349 patients with functioning transplants, and 95,550 ± 5478 patients on waiting lists. The forecasted Medicare expenditures are projected to increase to $28.3 ± 1.7 billion by 2010. These projections are subject to many factors that may alter the actual growth, compared with the historical patterns. They do, however, provide a basis for discussing the future growth of the ESRD program and how the ESRD community can meet the challenges ahead.


2014 ◽  
Vol 39 (1) ◽  
pp. 50-58 ◽  
Author(s):  
Laura C. Plantinga ◽  
Min Kim ◽  
Margarethe Goetz ◽  
David G. Kleinbaum ◽  
William McClellan ◽  
...  

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Brittany Shelton ◽  
Deanna McWilliams ◽  
Rhiannon D Reed ◽  
Margaux Mustian ◽  
Paul MacLennan ◽  
...  

Background: Obesity has become a national epidemic, and is associated with increased risk for comorbid diseases including end-stage renal disease (ESRD). Among ESRD patients, obesity may improve dialysis-survival but decreases likelihood of transplantation, and as such, obesity prevalence may directly impact growth of the incident dialysis population. Methods: Incident adult ESRD patients with complete body mass index (BMI, kg/m 2 ) data were identified from the United States Renal Data System from 01/01/1995-12/31/2010 (n=1,822,598). Data from the Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention (n=4,303,471) represented the US population when weighted. Trends in BMI and obesity classes I (BMI of 30-34.9), II (BMI of 35-39.9), and III (BMI ≥40) were examined by year of dialysis initiation. Trends in median BMI slope were compared between the ESRD and US populations using linear regression. Results: Median BMI of ESRD patients in 1995 was 24.2 as compared to 28.0 in 2010, a 15.7% increase, while the US population’s median BMI increased from 24.2 in 1995 to 25.6 in 2010, a 5.8% increase. Comparable trends were noted with respect to prevalence of obesity classes I, II, and III (Table). BMI increase among the ESRD population was significantly more rapid than among the US population (β: 0.15, 95% CI: 0.14-0.17, p<0.001) (Figure). Conclusion: The median BMI of ESRD patients and prevalence of obesity among ESRD patients is increasing more rapidly than the US population. Given the increased dialysis-survival and decreased likelihood of transplantation associated with obesity, healthcare costs will likely increase, and thus, future research should be directed at examining medical expenditures.


2018 ◽  
Vol 102 ◽  
pp. S844
Author(s):  
Brittany Shelton ◽  
Deanna M McWilliams ◽  
Paul A MacLennan ◽  
Rhiannon D Reed ◽  
Margaux N Mustian ◽  
...  

2012 ◽  
Vol 3 (2) ◽  
pp. e67-e77
Author(s):  
Christopher S. Hollenbeak ◽  
Matthew Gitlin ◽  
Brian Custer ◽  
William M. McClellan ◽  
Axel Hofmann ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document