Dialysis for end stage renal disease financed through the Brazilian National Health System, 2000 to 2012
© de Moura et al.; licensee BioMed Central Ltd. 2014
Received: 10 March 2014
Accepted: 3 July 2014
Published: 9 July 2014
Chronic kidney disease has become a public health problem worldwide. Its terminal stage requires renal replacement therapy – dialysis or transplantation – for the maintenance of life, resulting in high economic and social costs. Though the number of patients with end-stage renal disease treated by dialysis in Brazil is among the highest in the world, current estimates of incidence and prevalence are imprecise. Our aim is to describe incidence and prevalence trends and the epidemiologic profile of end-stage renal disease patients receiving publically-financed dialysis in Brazil between 2000 and 2012.
We internally linked records of the High Complexity Procedure Authorization/Renal Replacement Therapy (APAC/TRS) system so as to permit analyses of incidence and prevalence of dialysis over the period 2000-2012. We characterized temporal variations in the incidence and prevalence using Joinpoint regression.
Over the period, 280,667 patients received publically-financed dialysis, 57.2% of these being male. The underlying disease causes listed were hypertension (20.8%), diabetes (12.0%) and glomerulonephritis (7.7%); for 42.3%, no specific cause was recorded. Hemodialysis was the therapeutic modality in 90.1%. Over this period, prevalence increased 47%, rising 3.6% (95% CI 3.2% - 4.0%)/year. Incidence increased 20%, or 1.8% (1.1% – 2.5%)/year. Incidence increased in both sexes, in all regions of the country and particularly in older age groups.
Incidence and prevalence of end-stage renal disease receiving publically-financed dialysis treatment has increased notably. The linkage approach developed will permit continuous future monitoring of these indicators.
KeywordsEnd-stage renal disease Prevalence Incidence Ethnicity Dialysis
Chronic kidney disease has become a global public health problem. The terminal stage of this condition, end stage renal disease (ESRD), is a serious health outcome which carries high economic and social costs, requiring renal replacement therapy in the form of dialysis or transplantation in order to sustain life. The number of people with end-stage renal disease starting renal replacement therapy has increased worldwide in recent years, with a progressive increase in the proportion being elderly [1, 2]. In high-income countries, end-stage renal disease accounts for a substantial share of health care spending and is one of the major contributors to rising health care costs. The annual increase in spending for dialysis programs around the world ranged from 6% to 12% over the last two decades and continues to grow, particularly in low- and middle-income countries .
The increase in the number of individuals globally with chronic kidney disease has stimulated the implementation of public policies to address this condition. These in turn require surveillance strategies designed to capture information relevant to prevention and treatment. National, local, or regional registries which collect and disseminate information on end-stage renal disease are available in some countries. In Brazil, expenses related to publically-financed renal replacement therapy are reimbursed through the High Complexity Procedure Authorization/Renal Replacement Therapy (Autorização de Procedimentos de Alta Complexidade/Terapia Renal Substitutiva, or APAC/TRS) subsystem of the Outpatient Information System (Sistema de Informação Ambulatorial, or SIA) . APAC/TRS receives and records data for the approximately 84.9% of dialysis patients who are receiving treatment financed through Brazil’s national health system (Sistema Único de Saúde, or SUS) . However, it has not been possible, to date, to regularly monitor the incidence, prevalence, and mortality of end-stage renal disease. Recently, we have created such a unified database by linking patient records within this APAC subsystem . The aim of this study is to describe, using this linked database, trends in incidence and prevalence and the epidemiological profile of patients with end-stage renal disease receiving publically financed dialysis in Brazil between the years 2000 to 2012.
We evaluated all patients with end stage renal disease undergoing dialysis financed through the SUS between January 1, 2000, and December 31, 2012, applying deterministic and probabilistic record linkage techniques to existing data files received from the Ministry of Health, as has been previously described .
We defined a case of chronic end stage renal disease as an individual for whom reimbursement was solicited via APAC/TRS for a minimum of three months, thus minimizing the possible inclusion of patients with acute renal failure not requiring chronic dialysis .
We produced descriptive analyses of dialysis patients sex, age, race/color (as ethnicity is officially characterized in Brazil), region of residence, underlying disease, and treatment modality. The race/color “brown”, or “pardo” in Portuguese, permits individuals to self-identify as of a mixed race, “black” referring basically to those who self-identify as being predominantly of African ancestry; “yellow” refers to those of Asian background, these predominantly being of Japanese ancestry . To define the underlying disease that led to end stage renal disease we used a classification consisting of six groups based on codes from the International Statistical Classification of Diseases and Related Health Problems - Tenth Revision (ICD-10): diabetes mellitus, hypertension, glomerulonephritis, chronic interstitial nephritis, other diseases, and end-stage renal disease of uncertain cause . Those with missing ICD-10 codes were excluded from this specific analysis.
Incidence and prevalence were expressed per 1,000,000 inhabitants/year (patients per million population, or pmp), using population data from the 2000 and 2010 demographic censuses and official interpolations for intercensus years . As we could not distinguish new from prevalent cases in 2000, we defined incident cases from 2001 onwards.
We used Joinpoint regression for analysis of trends in the incidence of end-stage renal disease . This regression analysis identifies the point at which statistically significant changes in tendencies occur over time, and then expresses the annual percent change (APC) and its 95% confidence interval over each separate temporal segment identified. Changes in trends may be either in magnitude or direction. A negative sign indicates a decline over a temporal segment.
Basic analyses were performed using Statistical Analysis System - SAS. Microsoft Excel was used for the calculation of incidence and prevalence. This study was approved by the Ethics in Research Committee of the Hospital de Clínicas de Porto Alegre on 10/03/2010 (No. 100056). As analyses are based on surveillance databases from the Ministry of Health, no patient consent was necessary. All those with access to data signed agreements to maintain the confidentiality of the information.
Demographic and clinical characteristics of the 280,667 patients with chronic end-stage renal disease receiving publically-financed dialysis covering a period of at least 3 consecutive months
0 - 19
20 - 44
45 - 64
65 - 74
75 e +
Chronic interstitial nephritis
Prevalence and incidence of publically-financed dialysis for end stage renal disease covering at least three consecutive months
Annual change (%)
Annual change (%)
Trends in the incidence of publically-financed dialysis for end stage renal disease covering a minimum of 3 consecutive months, by geographic region and sex
(IC 95% )
1.5 – 6.2)
(2.0 – 5.6)
(3.6 – 4.7)
(2.6 – 4.4)
(0.7 – 2.1)
(-0.2 – 1.4)
(0.2 – 2.2)
(-0.6 – 1.0)
(2.4 – 4.6)
(1.4 – 3.8)
Trends in the incidence of publically-financed dialysis for end stage renal disease covering a minimum of 3 consecutive months, by age and sex
0 – 19
(3.5 – -1.1)
(-2.4 – 0.2)
20 - 44
(-1.8 – -0.3)
(-1.5 – 0.0)
45 – 64
(0.2 – 1.7)
(-1.1 – 0.3)
65 - 74
(1.6 – 3.0)
(-0.6 – 1.4)
(2.0 – 4.1)
(1.1 – 3.4)
Our results, based on national data of renal dialysis in the national health system, estimated to cover 85% of Brazilian patients in dialysis, illustrate the growing importance of ESRD in Brazil. From 2000 to 2012, the prevalence of ESRD receiving dialysis increased by 46.8%, an average of 3.6% per year, and the incidence by 20%, an average of 1.8% per year. By 2011, the most recent year with complete ascertainment, a total of 521.4 cases pmp existed, of which 113.4 cases pmp had initiated treatment that year.
To date, considerable uncertainty has existed as to incidence and prevalence of patients with ESRD undergoing dialysis in Brazil. Frequently cited data have come from an annual query of the Brazilian Nephrology Society to its members. However, as reporting through this query is voluntary and incomplete, with only 55% of dialysis centers responding in 2011, uncertainty regarding the exact numbers remains. In fact, our APAC prevalence estimate for 2011 (521 pmp), is greater than the Society’s (475 pmp) . The true difference is even greater, as APAC covers only publically financed treatment, roughly 85% of all dialysis, and our analyses excluded patients on dialysis for less than 3 months . Further, in terms of estimating total cases of ESRD, neither the frequencies here reported, nor those of the Brazilian Nephrology Society include patients who die of ESRD before receiving renal replacement therapy or patients undergoing transplantation without previous dialysis for at least three months.
In any event, by international comparison, a massive number of patients receive dialysis in Brazil. Grassmann et al, in their global overview of ESRD, placed Brazil among countries with the greatest number of patients receiving such treatment in 2004 . The U.S. Renal Data System (USRDS), which estimated a prevalence of renal dialysis of 679 pmp in 2011 for Brazil, ranked the country third in the world for that year in terms of numbers of patients undergoing dialysis .
This position is in large part due to the size of the population, as prevalence rates are at the low end of the spectrum shown in the USRDS’s international comparisons. Approximately half of the countries listed by the USRDS, in general high income countries, had prevalence rates of >1000 pmp. The relatively lower prevalence in Brazil may well reflect remaining problems of access to therapy. According to a recent publication of the Latin American Dialysis and Renal Transplant Registry (RLDTR), prevalence and incidence are increasing across the region. Several South American countries have dialysis prevalence in 2008 - Argentina (620 pmp) Chile (852 pmp) and Uruguay (825 pmp) - greater than those we report (459 pmp) for that year, with the overall prevalence for the region (461 pmp) being quite similar to ours . Of note, however, these comparisons are not adjusted for age, and many of the countries with higher rates of dialysis, especially the high income countries, have a more elderly population. The prevalence of ESRD treated by dialysis in Brazil is likely to continue to increase, since the transplantation rate is around 26 pmp/year in Brazil and crude mortality is lower than 20% .
In terms of modality of dialysis, only 10%, of publically financed patients are currently receiving peritoneal dialysis. The fraction so treated varies tremendously across countries, with most countries having a frequency of peritoneal dialysis not too different from that of Brazil .
The discrete increase in the incidence of patients receiving dialysis from 2001 to 2012 was present in all regions of the country, though less so in the southeast and south, and may reflect growing access to treatment. The increase was greater in women and in the older age strata, where diabetes and hypertension present as the principal causes of ESRD. A notably larger increase in this age group was also reported in Canada a decade ago . More recent series in the in the U.S. noted a larger increase in the 45 to 64 year age range .
The analysis of the underlying cause of ESRD in APAC is limited by the high percentage (42.3%) of diagnoses listed as indeterminate, the percentage being as high as 80% among native Brazilian patients. Among specific diagnoses listed, hypertension (20.4%) was the principal cause, followed by diabetes (12%) and then by glomerulonephritis (7.7%). These results are similar to those reported for the period of 2000-2004 by Cherchiglia et al. . The pattern of hypertension and diabetes as predominant causes is typical of high and medium income countries, with variations in the relative positions of hypertension and diabetes. In contrast, glomerulonephritis is the more prevalent cause of ESRD in low income countries, comprising 25-35% of causes. Diabetes has been cited as the cause of ESRD in 9.1 to 29.9% of patients in different countries in the developing world, and hypertension in 13 to 21% . The USRDS report shows a quite variable proportion, from 15 to 60%, of diabetes as a cause across surveyed countries . Given the multicausal nature of ESRD, it is to be expected that diabetes and hypertension frequently overlap in the causal process, and this uncertainty may explain, in part, the high frequency of indeterminate cause listed in the APAC system.
Data on race/color of dialyzed patients, to our knowledge, have not been previously published in Brazil. Reported patient race/color, after redistribution of those lacking information uniformly across the race/color categories, is predominantly white (52%), followed by brown (35%), black (11%), Asian (0.9%) and native Brazilian (0.2%). These proportions are similar to the self-declared information on race/color presented in the 2010 census: white 47.7%, brown 43.1%, black 7.6%, Asian 1.0% and native Brazilian 0.4% .
The major strength of our study is that the database created permits analysis of a consistent series of several years of all publically-financed dialysis in Brazil, instead of relying on non-representative sampling with incomplete reporting. Aside from serving as the basis for the results here reported, this database will permit future analyses, including economic ones and those related to assessment of disease burden.
Limitations to these results merit a brief discussion. As APAC does not adequately estimate the prevalence and incidence of renal transplantation, caution is required in using these data to estimate the total number of patients receiving renal replacement therapy in Brazil, and further work is necessary to achieve estimates of ESRD incidence and prevalence. In this regard, approximately 28.4 patientspmp received a renal transplant in Brazil in 2012 . As the majority of these were receiving dialysis for more than 3 months prior to receiving their transplant, underestimation of incidence of ESRD receiving renal replacement therapy is likely to be small.
Another important limitation relates to the coding of the underlying cause of renal failure, as previously noted. Similarly, though the introduction of reporting race/color of patients is an important advance, the high frequency of missing data limit precision in the reporting of this characteristic.
In summary, these analyses demonstrate the importance of the APAC system as a source for surveillance of the treatment of ESRD in Brazil. Assuming current incidence rates and lethality, the trends here presented indicate that the total number of cases needing publically financed renal dialysis will increase considerably. Given that renal replacement therapies have been reported to represent 8% of the total budget of the Ministry of Health, the projected increase will demand adequate planning of resources .
In terms of surveillance, continued analysis of the APAC system can provide important findings for public policies regarding the prevention, control and treatment of ESRD at local, regional and national levels. Actions and more detailed investigations should be undertaken to further qualify available data, especially with respect to the underlying causes of ESRD in Brazil. In this regard, the Brazilian Society of Nephrology has joined with the Ministry of Health in stimulating and supporting the adoption of effective measures for the surveillance, prevention, treatment and management of kidney disease in order to reduce its impact in terms of population health. The main goals within this effort are to increase awareness of risk factors for chronic kidney disease and of the importance of its complications .
In conclusion, the epidemiologic profile for ESRD receiving dialysis in the SUS between 2000 and 2012 demonstrates a discrete yet constant increase in incidence and a larger increase in prevalence, especially in older individuals. Over this period, the number of individuals receiving renal dialysis almost doubled. These figures parallel global trends, suggesting that health care expenditures in dialysis will continue to increase in the foreseeable future, and highlight the importance of preventive measures, especially those related to the prevention and control of the main underlying causes of ESRD – hypertension and diabetes.
This work was supported by Ministry of Health of Brazil.
- Ishani A, Xue JL, Himmelfarb J, Eggers PW, Kimmel PL, Molitoris BA, Collins AJ: Acute kidney injury increases risk of ESRD among elderly. J Am Soc Nephrol. 2009, 20: 223-228. 10.1681/ASN.2007080837.View ArticlePubMedPubMed CentralGoogle Scholar
- Grassmann A, Gioberge S, Moeller S, Brown G: ESRD patients in 2004: global overview of patient numbers, treatment modalities and associated trends. Nephrol Dial Transplant. 2005, 20 (12): 2587-2593. 10.1093/ndt/gfi159.View ArticlePubMedGoogle Scholar
- Couser WG, Remuzzi G, Mendis S, Tonelli M: The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney Int. 2011, 80: 1258-1270. 10.1038/ki.2011.368.View ArticlePubMedGoogle Scholar
- Prestes IV, de Moura L, Duncan BB, Schmidt MI: A national cohort of patients receiving publicly financed renal replacement therapy within the Brazilian Unified Health System. Lancet. 2013, 381: S119-View ArticleGoogle Scholar
- Sesso Rde C, Lopes AA, Thome FS, Lugon JR, Watanabe Y, Santos DR: Chronic dialysis in Brazil: report of the Brazilian dialysis census, 2011. J Bras Nefrol. 2012, 34 (3): 272-277. 10.5935/0101-2800.20120009.View ArticlePubMedGoogle Scholar
- de Moura L, Schmidt MI, Duncan BB, Rosa dos RS, Malta DC, Stevens A, Thomé FS: Monitoramento da doença renal crônica terminal pelo subsistema de Autorização de Procedimentos de Alta Complexidade - Apac - Brasil, 2000 a 2006. Epidemiol Serv Saúde. 2009, 18: 121-131.Google Scholar
- Cusumano A, Garcia Garcia G, Gonzalez Bedat C: The Latin American Dialysis and Transplant Registry: Report 2006. Ethn Dis. 2009, 19 (Suppl 1): S1-S3.PubMedGoogle Scholar
- Instituto Brasileiro de Geografia e Estatística – IBGE: Projeção da população do Brasil por sexo e idade para o período. 2000, Available in: http://www.ibge.gov.br/home/estatistica/populacao/projecao_da_populacao/2013/default.shtm [Last accessed: December 12, 2013], /2060Google Scholar
- Statistical Research & Applications Branch, National Cancer Institute: Joinpoint regression software. Version 4.0.4. Available at: http://surveillance.cancer.gov/joinpoint/ [Last accessed: December 12, 2013]
- U.S. Renal Data System, USRDS 2013 Annual Data Report: Atlas of Chronic Kidney Disease and End-Stage Renal Disease in the United States. 2013, Bethesda, MD: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Available in: http://www.usrds.org/2013/pdf/v2_ch12_13.pdf. [Last accessed: December 12, 2013.]Google Scholar
- Cusumano AM, Gonzalez Bedat MC, García-García G, Maury Fernandez S, Lugon JR, Poblete Badal H, Elgueta Miranda S, Gómez R, Cerdas Calderón M, Almaguer López M, Moscoso Tobar J, Leiva Merino R, Sánchez Polo J, Lou Meda R, Franco Acosta B, Ayala Ferrari R, Escudero E, Saavedra López A, Mena Castro E, Milanés C, Carlini R, Duro Garcia V: Latin American Dialysis and Renal Transplant Registry: 2008 Report (data 2006). Clin Nephrol. 2010, 74 (Suppl 1): S3-S8.PubMedGoogle Scholar
- Brasil. Associação Brasileira de Transplante de Órgãos, ABTO: Registro Brasileiro de Transplantes: Dados Numéricos da doação de órgãos e transplantes realizados por estado e instituição no período: Janeiro/Junho. 2013, 2013. Available in: http://www.abto.org.br/abtov03/Upload/file/RBT/2013/rbt2013semestre-parcial.pdf. [Last accessed: December 12, 2013.].Google Scholar
- Schaubel DE, Morrison HI, Desmeules M, Parsons DA, Fenton SS: End-stage renal disease in Canada: prevalence projections to 2005. CMAJ. 1999, 160: 1557-1563.PubMedPubMed CentralGoogle Scholar
- Collins AJ, Foley RN, Herzog C, Chavers B, Gilbertson D, Ishani A, Kasiske B, Liu J, Mau LW, McBean M, Murray A, St PW, Guo H, Gustafson S, Li Q, Li S, Li S, Peng Y, Qiu Y, Roberts T, Skeans M, Snyder J, Solid C, Wang C, Weinhandl E, Zaun D, Arko C, Chen SC, Dalleska F, Daniels F, et al: US Renal Data System 2010 Annual Data Report. Am J Kidney Dis. 2011, 57: A8-e1–A8,526View ArticlePubMedGoogle Scholar
- Cherchiglia ML, Machado EL, Szuster DAC, Andrade EIG, Acurcio FA, Caiaffa WT, Sesso R, Guerra Junior AA, de Queiroz OV, Gomes IC: Perfil epidemiológico dos pacientes em terapia renal substitutiva no Brasil, 2000-2004. Rev Saude Publica. 2010, 44: 639-649. 10.1590/S0034-89102010000400007.View ArticlePubMedGoogle Scholar
- Barsoum RS: Overview: end-stage renal disease in the developing world. Artif Organs. 2002, 26: 737-746. 10.1046/j.1525-1594.2002.07061.x.View ArticlePubMedGoogle Scholar
- Sancho LG, Dain S: Cost-effectiveness analysis of renal replacement therapies: how should we design research on these interventions in Brazil?. Cad Saude Publica. 2008, 24 (6): 1279-1290. 10.1590/S0102-311X2008000600009.View ArticlePubMedGoogle Scholar
- Abreu PF: Doença Renal Crônica e Saúde Pública. J Bras Nefrol. 2006, 28 (Suppl 2): 6-7.Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2369/15/111/prepub
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