Allan J Collins1, Robert N Foley1, David T Gilbertson2, Shu-Cheng Chen2. 1. Chronic Disease Research Group, Minneapolis Medical Research Foundation , Minneapolis, Minnesota, USA ; Department of Medicine, University of Minnesota , Minneapolis, Minnesota, USA. 2. Chronic Disease Research Group, Minneapolis Medical Research Foundation , Minneapolis, Minnesota, USA.
Abstract
The United States Renal Data System (USRDS) began in 1989 through US Congressional authorization under National Institutes of Health competitive contracting. Its history includes five contract periods, two of 5 years, two of 7.5 years, and the fifth, awarded in February 2014, of 5 years. Over these 25 years, USRDS reporting transitioned from basic incidence and prevalence of end-stage renal disease (ESRD), modalities, and overall survival, as well as focused special studies on dialysis, in the first two contract periods to a comprehensive assessment of aspects of care that affect morbidity and mortality in the second two periods. Beginning in 1999, the Minneapolis Medical Research Foundation investigative team transformed the USRDS into a total care reporting system including disease severity, hospitalizations, pediatric populations, prescription drug use, and chronic kidney disease and the transition to ESRD. Areas of focus included issues related to death rates in the first 4 months of treatment, sudden cardiac death, ischemic and valvular heart disease, congestive heart failure, atrial fibrillation, and infectious complications (particularly related to dialysis catheters) in hemodialysis and peritoneal dialysis patients; the burden of congestive heart failure and infectious complications in pediatric dialysis and transplant populations; and morbidity and access to care. The team documented a plateau and decline in incidence rates, a 28% decline in death rates since 2001, and changes under the 2011 Prospective Payment System with expanded bundled payments for each dialysis treatment. The team reported on Bayesian methods to calculate mortality ratios, which reduce the challenges of traditional methods, and introduced objectives under the Health People 2010 and 2020 national health care goals for kidney disease.
The United States Renal Data System (USRDS) began in 1989 through US Congressional authorization under National Institutes of Health competitive contracting. Its history includes five contract periods, two of 5 years, two of 7.5 years, and the fifth, awarded in February 2014, of 5 years. Over these 25 years, USRDS reporting transitioned from basic incidence and prevalence of end-stage renal disease (ESRD), modalities, and overall survival, as well as focused special studies on dialysis, in the first two contract periods to a comprehensive assessment of aspects of care that affect morbidity and mortality in the second two periods. Beginning in 1999, the Minneapolis Medical Research Foundation investigative team transformed the USRDS into a total care reporting system including disease severity, hospitalizations, pediatric populations, prescription drug use, and chronic kidney disease and the transition to ESRD. Areas of focus included issues related to death rates in the first 4 months of treatment, sudden cardiac death, ischemic and valvular heart disease, congestive heart failure, atrial fibrillation, and infectious complications (particularly related to dialysis catheters) in hemodialysis and peritoneal dialysis patients; the burden of congestive heart failure and infectious complications in pediatric dialysis and transplant populations; and morbidity and access to care. The team documented a plateau and decline in incidence rates, a 28% decline in death rates since 2001, and changes under the 2011 Prospective Payment System with expanded bundled payments for each dialysis treatment. The team reported on Bayesian methods to calculate mortality ratios, which reduce the challenges of traditional methods, and introduced objectives under the Health People 2010 and 2020 national health care goals for kidney disease.
Entities:
Keywords:
United States Renal Data System; end-stage renal disease; public health; surveillance
The United States Renal Data System (USRDS), established in 1989, is the largest and
most comprehensive national end-stage renal disease (ESRD) and chronic kidney
disease surveillance system. It has operated for 25 years under competitive
contracting with the National Institutes of Health, National Institute of Diabetes
and Digestive and Kidney Diseases, Division of Kidney, Urologic, and Hematologic
Diseases. In its first 10 years, the USRDS Coordinating Center developed standard
techniques for calculating incidence and prevalence of treated ESRD, and reported on
treatment modalities and basic mortality outcomes in the dialysis and transplant
populations. The USRDS focus changed in the third and fourth contract periods toward
assessment of cause-specific morbidity and mortality by organ system, thereby
expanding the domain of care assessment beyond dialysis therapy delivery.
MORBIDITY AND MORTALITY
Death rates among dialysis patients have been falling 2–3% per year
since 2001 (28% reduction), and in 2012 reached a level comparable to
rates reported in 1982 (Figure 1), despite other
data showing increased complexity of the population after 1983. Over time,
causes of death shifted from acute myocardial infarction to heart failure and
sudden death (Figure 2), in many ways paralleling
changes in mortality in the general population. Acute myocardial infarction as a
cause of death decreased in the dialysis, transplant, and general
populations.
Figure 1
Trends in prevalent dialysis death rates. pt-years, patient-years.
Figure 2
Causes of death in incident dialysis patients, 2009–2011, first 180
days.[
Although few clinical trials in the dialysis population have shown any benefit of
techniques such as increasing the amount of dialysis therapy delivered three
times per week or use of high-flux versus lower-flux membranes, the recent
Frequent Hemodialysis Network trial showed for the first time that dialysis
delivered 6 days per week provided substantial benefit.[1] In the Adequacy of Dialysis Mexico trial, more
therapy for peritoneal dialysis patients also did not show a benefit beyond a
minimum weekly therapy.[2] These findings
led the USRDS to conduct detailed assessments of the broad range of care
delivery for heart failure, ischemic heart disease, and valvular heart disease
and compare outcomes between prosthetic and porcine valves. Revascularization
procedures using surgical interventions with internal mammary artery grafting,
versus stent placement, appeared to be best for dialysis patients, as for the
general population.Medication use changed markedly from reports on the incident and prevalent
populations in the 1993–1994 and 1996–1997 Dialysis Morbidity and
Mortality Studies[3, 4] to full assessment of prescription medications under
the expanded Medicare prescription drug benefit, Medicare Part D.[5] Use of statin drugs increased from less
than 10% of dialysis patients in the 1990s to 50% from 2007 to
2011.[3] Use of beta blockers,
also less than 10% in the 1990s, increased to 65% overall and to
75% in dialysis patients with prior acute myocardial
infarction.[5] In dialysis
patients with heart failure, use of angiotensin-converting enzyme inhibitors and
angiotensin receptor blockers increased fourfold form 50 to 60% in the
current era. Along with these changes, use of dialysis catheters also declined
under the Centers for Medicare and Medicaid Fistula First program. These changes
were associated with substantial decreases in death rates in the prevalent
population since 2001 (Figure 1).[6]Infectious complications presented serious problems (Figure
3); highlighting these in detail over many years helped bring back
the Centers for Disease Prevention and Control's dialysis unit infection
control surveys, which had stopped in 2002. Additional organ-specific
assessments centered on infectious complications related to use of dialysis
catheters and their event rates. Placement rates for catheters, fistulas, and
grafts were tracked through physician service claims. Catheter and graft
placements decreased markedly through 2011 (Figure
4).
Figure 3
Change in adjusted all-cause and cause-specific hospitalization rates, by
modality. CV, cardiovascular; ESRD, end-stage renal
disease.[5]
Figure 4
Catheter, fistula, and graft insertions, 1991–2011.[
Prior studies on death risk after infectious complication[7] contributed to these findings. Infectious
hospitalizations were not reduced to the extent that mortality was. Rates of
infectious hospitalizations increased in hemodialysis patients during the time
of highest dialysis catheter use, but failed to decline once catheter use
declined. This is a source of major concern. Infectious hospitalization rates
for peritoneal dialysis patients did not change (Figure
5). This lack of progress needs greater attention to reduce
infectious complications.
Figure 5
Adjusted rates of hospital admissions, by modality and diagnostic code
type: infection.[
Each Annual Data Report presented data on morbidity and treatment, including the
changes in anemia treatment due to clinical trials showing adverse
cardiovascular events when hemoglobin levels were targeted to above
12 g/dl (Figure 6).
Figure 6
Mean monthly hemoglobin and mean epoetin alfa (EPO) dose per week:
hemodialysis patients.[
GRAPHIC LAYOUT OF THE ANNUAL DATA REPORT
These findings were shown in a graphic format that the USRDS developed to advance
the presentation of data describing the ESRD population and public health
surveillance to the public, Congressional committees, the National Institutes of
Health, the Centers for Medicare and Medicaid Services, the White House, and
nephrologists and dialysis providers.The USRDS Coordinating Center developed the graphic full-color layout in 2000
under the third contract, awarded to the University of Minnesota and Minneapolis
Medical Research Foundation investigators. The concept was modeled after the
Dartmouth Atlas of Health Care,[8] the
Centers for Disease Control and Prevention Atlas of Mortality,[9] and the National Cancer Institute's
Atlas of Cancer Mortality.[10] The atlas
of ESRD was developed in a spread format much like a poster presentation with
targeted areas such as incidence by specific diseases or types of
hospitalization. The design employed a thematic metaphor from the art and
literary world to evoke the human elements of disease, hope, and philosophical
aspects of the human spirit. The first atlas developed the technique of mapping
data on a national level to demonstrate the wide geographic variation in care
and outcomes.[11] The most recent
incidence rate map is shown in Figure 7,
demonstrating clear patterns across the country.
Figure 7
Geographic variation in adjusted incident rates of end-stage renal
disease (ESRD) per million population, 2011, by Health Service Area
(HSA).[
Geographic display brought a new dimension to the understanding of disease
location and of areas to target, such as the Ohio River basin and the
Mississippi River area, in which ESRD incidence rates are high even after
adjustment for age, sex, race, cause of kidney failure, and Hispanic ethnicity.
Past high rates of poverty and air and water pollution in these regions may
partially explain the concentration. Regardless of the causes, focused attention
to these areas with early detection programs for kidney disease among those with
diabetes and hypertension may be needed.[12,
13, 14]Additional graphic formats were developed to show the disease burden in the
Medicare population and the associated expenditures to policy makers in Congress
and to the public (Figure 8).[15]
Figure 8
Distribution of general (fee-for-service) Medicare patients and costs for
chronic kidney disease (CKD),[
The most recent reports incorporated colors and fonts that were typical of the
era being presented through thematic metaphor, such as the 2009 focus on the
science, art, and humanity of da Vinci (Figure 9) or
the 2013 focus on navigation as a metaphor for understanding how disease unfolds
and is treated in the kidney disease population (Figure
10). These presentations combined the arts and the depth of the
human experience with detailed data on kidney disease and how it plays out in
the population under treatment.
Figure 9
United States Renal Data System Annual Data Report cover image,
2009.[
Figure 10
United States Renal Data System Annual Data Report cover image,
2013.[
SUMMARY
The USRDS has evolved over the last 25 years to advance the reporting of
morbidity and mortality in the kidney disease population and to point out areas
where care may be improved. The fifth contract is under the direction of a new
team of investigators from the University of Michigan, who took over the 5-year
contract in February 2014. The USRDS under the Minneapolis Medical Research
Foundation team over the prior fourteen and a half years advanced the reporting
to cover the full spectrum of disease present in the kidney disease population
and documented marked improvements in care and outcomes, which have changed the
lives of many patients. The reduction in death rates is an important milestone
for patients and providers. The USRDS has advanced the public understanding of
this vulnerable population.
Authors: Glenn M Chertow; Nathan W Levin; Gerald J Beck; Thomas A Depner; Paul W Eggers; Jennifer J Gassman; Irina Gorodetskaya; Tom Greene; Sam James; Brett Larive; Robert M Lindsay; Ravindra L Mehta; Brent Miller; Daniel B Ornt; Sanjay Rajagopalan; Anjay Rastogi; Michael V Rocco; Brigitte Schiller; Olga Sergeyeva; Gerald Schulman; George O Ting; Mark L Unruh; Robert A Star; Alan S Kliger Journal: N Engl J Med Date: 2010-11-20 Impact factor: 91.245
Authors: Adam T Whaley-Connell; Manjula Kurella Tamura; Claudine T Jurkovitz; Mikhail Kosiborod; Peter A McCullough Journal: Am J Kidney Dis Date: 2013-04 Impact factor: 8.860
Authors: Kelsie M Full; Chandra L Jackson; Casey M Rebholz; Kunihiro Matsushita; Pamela L Lutsey Journal: J Am Soc Nephrol Date: 2020-06-26 Impact factor: 10.121
Authors: Casey M Rebholz; Morgan E Grams; Yuan Chen; Alden L Gross; Yingying Sang; Josef Coresh; Elizabeth Selvin Journal: Am J Epidemiol Date: 2017-10-15 Impact factor: 4.897
Authors: Casey M Rebholz; Elizabeth Selvin; Menglu Liang; Christie M Ballantyne; Ron C Hoogeveen; David Aguilar; John W McEvoy; Morgan E Grams; Josef Coresh Journal: Kidney Int Date: 2017-08-31 Impact factor: 10.612
Authors: Brad P Dieter; Sterling M McPherson; Maryam Afkarian; Ian H de Boer; Rajnish Mehrotra; Robert Short; Celestina Barbosa-Leiker; Radica Z Alicic; Rick L Meek; Katherine R Tuttle Journal: J Diabetes Complications Date: 2016-07-27 Impact factor: 2.852