SciELO - Scientific Electronic Library Online

 
vol.34 issue1Urinary protein/creatinine ratio versus 24-hour proteinuria in the evaluation of lupus nephritisSalmonella peritonitis in a patient on automated peritoneal dialysis author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

  • text in Portuguese
  • pdf in English | Portuguese
  • ReadCube
  • Article in xml format
  • Article references
  • How to cite this article
  • Curriculum ScienTI
  • Automatic translation
  • Send this article by e-mail

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Jornal Brasileiro de Nefrologia

Print version ISSN 0101-2800

J. Bras. Nefrol. vol.34 no.1 São Paulo Jan./Mar. 2012

http://dx.doi.org/10.1590/S0101-28002012000100011 

ORIGINAL ARTICLE

 

Association between laboratory and clinical risk factors and progression of the predialytic chronic kidney disease

 

 

Ângelo Cardoso PereiraI; Moisés CarminattiII; Natália Maria da Silva FernandesI,II; Luciana dos Santos TirapaniII; Ruiter de Souza FariaII; Fabiane Rossi dos Santos GrincenkovII; Edson José de Oliveira MagachoI,II; Wander Barros do CarmoII; Rodrigo AbritaI,II; Marcus Gomes BastosI,II

IUniversidade Federal de Juiz de Fora – UFJF
IIInstituto Mineiro de Ensino e Pesquisas em Nefrologia – IMEPEN

Correspondence to

 

 


ABSTRACT

INTRODUCTION: Chronic kidney disease (CKD) is a very common condition that has become a public health issue. Knowing more about risk factors associated with the progression of CKD allows therapeutic interventions that may change the natural course of the disease.
OBJECTIVE: To evaluate the impact of clinical and laboratory variables at admission on the outcomes death and need for renal replacement therapy (RRT).
METHODS: A retrospective cohort study comprised of 211 adult patients with stages 3-5 CKD, followed-up for 56.6 ± 34.5 months.
RESULTS: Mean age of patients was 65.4 ± 15.1 years and 63.5% were > 60 years. The main causes of CKD were hypertensive nephrosclerosis (29%) and diabetic kidney disease (DKD) (17%). Most patients (47.3%) were on stage 4 CKD. The mean annual loss of glomerular filtration rate (GFR) was 0.6 ± 2.5 mL/min/1.73 m2(median 0.77 mL/min/1.73 m2) After the adjustments for demographic, clinical and laboratory variables, DKD [relative risk (RR) 4.4; 95% confidence interval (CI), 1.47 to 13.2; p = 0.008] was predictive of RRT; age (RR 1.09; 95% CI, 1.04 to 1.15; p < 0.0001) and the non-treatment with angiotensin receptor blocker (ARB) (RR 4.18, 95% CI, 1.34 to 12.9; p = 0.01) were predictors of death. Renal and patient survival rates were 70.9% and 68.6%, respectively.
CONCLUSION: In this study, patients with stage 3-5 CKD treated conservatively showed stabilization of renal function and low mortality, which were impacted by DKD, age and to not using ARB, respectively.

Keywords: Kidney failure, chronic. Disease progression. Risk factors.


 

 

INTRODUCTION

The prevalence of chronic kidney disease (CKD) has increased much in the past decade. In the United States, it is estimated that 13% of the adult population presents with glomerular filtration rate (GFR) lower than 60 mL/min/1.73 m2. This prevalence affects 38-44% of the people aged more than 65 years.1,2 In Brazil, the prevalence of patients on renal replacement therapy (RRT), which was about 42,000 in 2000, overcame 77,000 in the end of 2009; the estimate was 90,000 in 2010.3,4

The prevalence rate of the dialytic therapy in 2009 was 405 per million people (pmp), ranging from 165 pmp in the North region to 465 pmp in the Southeast region. Out of the total, 89.6% were on hemodialysis (HD) and 10% were on peritoneal HD, especially automated peritoneal HD.4 According to previous census, the diagnosis of CKD most commonly found was hypertension, followed by diabetic kidney disease (DKD).3,4

From 1983 on, knowing more about physiopathological mechanisms that lead to the loss of nephrons, as well as risk factors related to the progression of CKD, great advances concerning the treatment were observed, which are now the base to slow the progression of the disease.5

In this context, factors such as: persistent activity of the base disease, inadequate control of arterial pressure (AP), proteinuria superior to 1 g a day, urinary tract obstruction, reflux and/or urinary infection, painkiller and anti-inflammatory abuse or exposure to other nephrotoxins, congenital or acquired reduction of nephron number, low birth weight, diseases that lead to increased intraglomerular pressure, high-protein diet, diabetes mellitus, pregnancy, dyslipidemia, chronic anemia, smoking and obesity are variables considered as traditional risk factors for the progression of CKD.6 It has recently been demonstrated that the correction of vitamin D deficiency, hyperuricemia and metabolic acidosis also lead to the decrease of GFR in patients with predialytic CKD.7-10

This study aimed to assess the impact of demographic, clinical and laboratory variables that were present at admission and let to the outcomes death or renal replacement therapy (RRT) in patients with stages 3-5 CKD on conservative treatment.

 

PATIENTS AND METHODS

Two hundred eleven patients aged more than 18 years with CKD stages 3A, 3B, 4 and 5 were selected, thus originating a retrospective cohort that was followed-up for more than three months, from January 2002 to December 2009 (mean of 56.6 ± 34.5 months) in PREVENRIM – Interdisciplinary Program to Prevent CKD, in Núcleo Interdisciplinar de Estudos, Pesquisas e Tratamento em Nefrologia of Universidade Federal de Juiz de For a e Fundação – UFJF-IMEPEN.

This program consists of a interdisciplinary team comprised of a social worker, a nurse, a nephrologist, a nutritionist, and a psychologist, and also prioritizes assistance to patients on CKD stages 3-5. In each appointment, the patient is assisted by the whole team, which enables immediate interventions every time a biopsychosocial problem is identified. At PREVENRIM, patients on CKD stage 3 are followed-up every three months; those on stage 4, every two months; and those on stage 5, monthly.

Demographic and laboratory variables were collected at the time of inclusion in the study: three months.

The considered demographic variables were: age, gender, ethnicity, cause of CKD, number of comorbidities, use of antiproteinuric drugs [angiotensin converting enzyme inhibitor (ACEI) and/or angiotensin receptor blocker (ARB)], beta blockers, statins, aspirins, erythropoiesis agents, intravenous iron, calcium chelators, vitamin D (colecalciferol or calcitriol) and sodium bicarbonate, besides the total number of used medicines.

The analyzed laboratory variables were proteinuria, creatinine and GFR estimated by the Chronic Kidney Disease Epidemiology Collaboration formula (CKD-EPI).11 The considered clinical variables were AP and body mass index (BMI). The observed outcomes were death, need for RRT and follow-up interruption. This study was approved by the Research Ethics Committee at Hospital Universitário of Universidade Federal de Juiz de Fora – UFJF (registration nº 203/2011).

STATISTICAL ANALYSIS

At first, a descriptive analysis of data was conducted, in which data were expressed into mean ± standard deviation, median or percentage, according to the characteristic of the variable. Kolmogorov-Smirnov test was used to analyze normality. Patients were divided into three groups according to the following: continuous follow-up, RRT or death. Afterwards, we performed a univariate analysis with the Chi-squared or ANOVA test. Variables that presented statistical significance were included in a Cox model, having death or RRT as outcomes, depending on the model. Patients were excluded in cases of follow-up interruption. Also, Spearman's correlation between proteinuria, AP and the described events was performed. An analysis of renal survival and the survival of patients was conducted by the Kaplan-Meier method. P < 0.05 was considered as statistically significant. The software SPSS 15.0 was used.

 

RESULTS

Two hundred eleven patients with mean age of 65.4 ± 15.1 years were analyzed; 63.5% were older than 60, and 18% were older than 80. Fifty one percent were females and 63% were white. The main CKD etiologies were hypertensive nephrosclerosis (29%), DKD (17%) and chronic glomerulonephritis (16%). Most patients were on CKD stage 4 (47.3%), with mean GFR of 30.6 ± 14.4 mL/min/1.73 m2. Proteinuria median was 475 mg/24h, mean of systolic AP (SAP) was 147 ± 27 mmHg and diastolic AP (DAP) was 86 ± 15.5 mmHg. Sixty-two percent of the patients used ACEI, 44.8% used ARB and, out of these, 23% were on double blockade. Mean BMI was 26.3 ± 4.7 and 8.5% were smokers (Table 1). A univariate analysis only showed significant data or those that presented statistical trend when comparing the three outcomes. The pre-treatment characteristics associated to higher mortality rates were older age (p < 0.0001), CKD stages 4 and 5 (p = 0.03), proteinuria (p = 0.001) (r = 0.311, p < 0.0001) (Figure 1) and DKD as etiology for CKD (p = 0.01). Patients that died used less ACEI (48%) (p = 0.03), beta blockers (17%) (p = 0.04) and statin (31%) (p = 0.000). No patient among those who died was on vitamin D at admission (p = 0.007). The variables associated with the need for RRT were: age (p = 0.000), stages 4 and 5 (p = 0.03), DKD (p = 0.01) and proteinuria (p = 0.001) (Figure 2). Patients with this outcome used less ACEI ( p = 0.03), ARB (p = 0.002), statin (p = 0.000) and vitamin D (p = 0.007) (Table 2). Figure 3 shows renal survival in the period, and Figure 4 shows survival of patients. The mean annual loss of GFR was 0.6 ± 2.5 mL/min/1.73 m2, with median of 0.77 mL/min/1.73 m2.

 

 

 

 

 

 

 

 

The evaluation of the incidence death rate and need for RRT shows the following numbers: 29.16/1000 patients/year and 33.18/1000 patients/year, respectively.

In Table 3, it is possible to observe that using the variables that were significant at the univariate analysis in the Cox regression model, the variable DKD as etiology of CKD [relative risk (RR) 4.4; confidence interval (CI) 96%, 1.47–13.2; p = 0.008] was the only one that predicted RRT; When the variable of the outcome was death, predictive variables were: age (RR 1.09; 95% CI, 1.04–1.15; p < 0.01) and the non-treatment with ARB (RR 4.18; 95% CI, 1.34–12.9; p = 0.01).

 

 

DISCUSSION

In this study, it was important to identify demographic, clinical and laboratory variables that were present in the beginning of the study and were associated to the outcomes of RRT and death, thus leading to interventions that could change the speed of renal function loss and decrease chances of early mortality due to CKD. A univariate analysis showed that, except for AP levels, the outcomes need for RRT or death were associated with GFR, age, proteinuria, DKD, which are classic determining factors for these outcomes. It was also observed that variables represented by replacing vitamin D (active or not) and replacing sodium bicarbonate were associated with a favorable impact on the course of the disease.

The sample consisted mostly of elderly participants (63.5%), which is in accordance with other studies.12-14 The prevalent CKD etiology was hypertensive nephrosclerosis (29%), followed by DKD (17%) and chronic glomerulonephritis (16%), which are related to the main causes of CKD in patients who underwent HD in Brazil.3 Sesso et al. and Fernandes et al. showed that most patients who start on RRT in our country is referred to nephrology services very late, and most are on stage 4 (47.3%), which contrasts with data in international literature, in which most patients are on stage 3.3-15

Besides the expected contribution of age and CKD staging, the correlation of proteinuria with the progression of the renal disease, even if eased by the renoprotection by ACEI and ARB, is demonstrated in many studies.16-18 This phenomenon is clearly observed in patients with type II DM, in which ¼ of the patients presents with renal compromise after ten years of disease.19

Proteinuria was also associated with higher mortality rates, as published by other authors who demonstrated this is a risk factor that is not connected to cardiovascular mortality.20,21

On the other hand, the relation between the use of statins and lower mortality rates, as well as the slower progression to renal function failure with the need for RRT, is controversial. The 4S study22 showed an important benefit, which slows the progression, while ALLHAT23 could not show any differences. The relation between using statins and lower cardiovascular mortality rates in the general population is documented in literature,24 as well as the use of beta blockers.25

The protective effect observed by the use of vitamin D in this study does not allow us to establish a definitive association with favorable outcomes, once the evolution of a dynamic retrospective cohort that started in 2002 was analyzed, time when the use of vitamin D was not really common. Patients took part in the study in different moments, and the use of vitamin D became more frequent with time. Considering these facts, it is interesting to observe the results are in accordance with prior studies, which clearly showed the important benefits of vitamin D for CKD.8,26

In the beginning of the study, the observation that SAP and DAP were inadequate and were not associated to the outcomes represented by the need for RRT and death deserves some attention, even though it was not the only observation. The fact that pressure levels were higher than recommended in the base period of the study does not necessarily means that they stayed this way during follow-up.

Also, this study included patients from different ethnicities, which is common in Brazil, and this may have made it more difficult to observe the correlation between ethnicity and outcomes. The non-association of pressure levels at admission with the progression of CKD was also noticed in an observational study with 1,094 African-American patients,27 and in patients with adult polycystic kidney disease.28

More recently, in a metanalysis performed by Upadhyay et al., the authors concluded there was no clinical advantage in keeping pressure levels lower than 130 x 80 mmHg, in comparison to levels lower than 140 x 90 mmHg, except for the subpopulation comprised of patients with CKD and proteinuria between 300 and 1,000 g/24h, since they presented better clinical course of the disease.29

On one hand, in a Cox regression model that considers CKD staging as the main variable, it was possible to observe that only DKD presented itself as a risk factor for RRT; on the other hand, risk factors for death after adjusting the model were CKD staging, age and not using ARB.

Thus, we noticed that only the immutable variables at admission, like age and etiology, were determining factors for the worst outcomes; meanwhile, those variables that were likely to change by means of clinical treatment were not determining. The mean annual loss of GFR was 0.6 ± 2.5 mL/min/1.73 m2, with median of 0.775 mL/min/173 m2, which is much lower than what is established in the guidelines about CKD (NICE),30 and renal survival was 70.9%. Survival of patients was 68.6%, which confirms the positive impact of the intervention during follow-up. One limiting factor of this study is the possibility to analyze patients after a three-month follow-up, and only those who are referred to the nephrologist. This creates selection bias, which partly explains the good results presented.

The complexity of CKD requires that the patient be ideally assisted by an interdisciplinary team. Studies conducted with children31 and adults32, in comparison to the conventional model focused on the nephrologist, show the superiority of managing CKD with an interdisciplinary team in relation to clinical outcomes and reaching the parameters proposed by the Kidney/Disease Outcomes Quality Initiative (K/DOQI) at the beginning of dialysis.

Interdisciplinary care makes sense, and its basic premise is that patients with complex diseases, such as CKD, need to be treated by different health professionals, thus leading to the identification of medical, psychosocial and functional issues.

In Brazil, as observed in other countries, the experience with the interdisciplinary care for patients with CKD is still very limited. PREVENRIM is an interdisciplinary program for the secondary prevention of CKD. It is not restricted to monitoring renal function, but is also a holistic approach to CKD, reaching the different biopsychosocial aspects of the condition. The assistance model is circular, that is, patients are assisted by all health professionals at the same appointment, whenever necessary. In each visit, all professionals reinforce the main points regarding their field of activity with the objective to optimize the treatment.33

In this study, it was not possible to evaluate the low renal function loss in mechanical terms (and the consequent low need for RRT) and the low mortality rate. In the current study, it will be analyzed if the time of maintenance of clinical variables in therapy limits proposed in different guidelines is the main determining factor for the evolution of CKD.

Finally, this outcome analysis suggests that the exposure to a structured nephrology care for conservatively treated patients with CKD was associated to the functional stabilization and low mortality rates, which are outcomes impacted by the occurrence of CKD, age and not using ARB, respectively.

 

REFERENCES

1. Coresh J, Selvin E, Stevens LA, et al. Prevalence of chronic kidney disease in the United States. JAMA 2007;298:2038-47.         [ Links ]

2. Stevens LA, Li S, Wang C, et al. Prevalence of CKD and comorbid illness in elderly patients in the United States: results from the Kidney Early Evaluation Program (KEEP). Am J Kidney Dis 2010;55(Suppl):S23-33.         [ Links ]

3. Sesso RC, Lopes AA, Thome FS, et al. Brazilian dialysis census, 2009. J Bras Nefrol 2010;32:374-8.         [ Links ]

4. SBN. Sociedade Brasileira de Nefrologia [Internet]. São Paulo (SP); 2011 [cited 2011 Jul 19]. Available from: http://www.sbn.org.br        [ Links ]

5. Eckardt KU, Kasiske BL. Kidney disease: improving global outcomes. Nat Rev Nephrol 2009;5:650-7.         [ Links ]

6. Brenner BM. Retarding the progression of renal disease. Kidney Int 2003;64:370-8.         [ Links ]

7. Brito-Ashurst I, Varagunam M, Raftery MJ, et al. Bicarbonate supplementation slows progression of CKD and improves nutritional status. J Am Soc Nephrol 2009;20:2075-84.         [ Links ]

8. Shoben AB, Rudser KD, Boer IH, et al. Association of oral calcitriol with improved survival in nondialyzed CKD. J Am Soc Nephrol 2008;19:1613-9.         [ Links ]

9. Goicoechea M, Vinuesa SG, Verdalles U, et al. Effect of allopurinol in chronic kidney disease progression and cardiovascular risk. Clin J Am Soc Nephrol 2010;5:1388-93.         [ Links ]

10. Siu YP, Leung KT, Tong MK, et al. Use of allopurinol in slowing the progression of renal disease through its ability to lower serum uric acid level. Am J Kidney Dis 2006;47:51-9.         [ Links ]

11. Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009;150:604-12.         [ Links ]

12. Collins AJ, Foley RN, Herzog C, et al. US Renal Data System 2010. Annual Data [Report]. Am J Kidney Dis 2011;57(Suppl):A8, e1-526.         [ Links ]

13. Ruggenenti P, Perticucci E, Cravedi P, et al. Role of remission clinics in the longitudinal treatment of CKD. J Am Soc Nephrol 2008;19:1213-24.         [ Links ]

14. Levey AS, Jong PE, Coresh J, et al. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference [Report]. Kidney Int 2011;80:17-28.         [ Links ]

15. Fernandes NM, Chaoubah A, Bastos K, et al. Geography of peritoneal dialysis in Brazil: analysis of a cohort of 5,819 patients (BRAZPD). J Bras Nefrol 2010;32:268-74.         [ Links ]

16. Lea J, Cheek D, Thornley-Brown D, et al. Metabolic syndrome, proteinuria, and the risk of progressive CKD in hypertensive African Americans. Am J Kidney Dis 2008;51:732-40.         [ Links ]

17. Hou FF, Xie D, Zhang X, et al. Renoprotection of Optimal Antiproteinuric Doses (ROAD). Study: a randomized controlled study of benazepril and losartan in chronic renal insufficiency. J Am Soc Nephrol 2007;18:1889-98.         [ Links ]

18. Egan B, Gleim G, Panish J. Use of losartan in diabetic patients in the primary care setting: review of the results in LIFE and RENAAL. Curr Med Res Opin 2004;20:1909-17.         [ Links ]

19. Adler AI, Stevens RJ, Manley SE, et al. Development and progression of nephropathy in type 2 diabetes: the United Kingdom Prospective Diabetes Study (UKPDS 64). Kidney Int 2003;63:225-32.         [ Links ]

20. Hemmelgarn BR, Manns BJ, Lloyd A, et al. Relation between kidney function, proteinuria, and adverse outcomes. JAMA 2010;303:423-9.         [ Links ]

21. Wachtell K, Ibsen H, Olsen MH, et al. Albuminuria and cardiovascular risk in hypertensive patients with left ventricular hypertrophy: the LIFE study. Ann Intern Med 2003;139:901-6.         [ Links ]

22. Huskey J, Lindenfeld J, Cook T, et al. Effect of simvastatin on kidney function loss in patients with coronary heart disease: findings from the Scandinavian Simvastatin Survival Study (4S). Atherosclerosis 2009;205:202-6.         [ Links ]

23. Rahman M, Baimbridge C, Davis BR, et al. Progression of kidney disease in moderately hypercholesterolemic, hypertensive patients randomized to pravastatin versus usual care: a report from the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). Am J Kidney Dis 2008;52:412-24.         [ Links ]

24. Collins R, Armitage J, Parish S, et al. Effects of cholesterol-lowering with simvastatin on stroke and other major vascular events in 20536 people with cerebrovascular disease or other high-risk conditions. Lancet 2004;363:757-67.         [ Links ]

25. Hjalmarson A. Effects of beta blockade on sudden cardiac death during acute myocardial infarction and the post-infarction period. Am J Cardiol 1997;80:35J-9J.         [ Links ]

26. Szeto CC, Chow KM, Kwan BC, et al. Oral calcitriol for the treatment of persistent proteinuria in immunoglobulin a nephropathy: an uncontrolled trial. Am J Kidney Dis 2008;51:724-31.         [ Links ]

27. Luke RG. Hypertensive nephrosclerosis: pathogenesis and prevalence. Essential hypertension is an important cause of end-stage renal disease. Nephrol Dial Transplant 1999;14:2271-8.         [ Links ]

28. Van Dijk MA, Breuning MH, Duiser R, et al. No effect of enalapril on progression in autosomal dominant polycystic kidney disease. Nephrol Dial Transplant 2003;18:2314-20.         [ Links ]

29. Upadhyay A, Earley A, Haynes SM, et al. Systematic review: blood pressure target in chronic kidney disease and proteinuria as an effect modifier. Ann Intern Med 2011;154:541-8.         [ Links ]

30. Early identification and management of chronic kidney disease in adults in primary and secondary care [Internet]. [cited 2011 Sep 3]. Available from: http://www.nice.org.uk/cg73.         [ Links ]

31. Menon S, Valentini RP, Kapur G, et al. Effectiveness of a multidisciplinary clinic in managing children with chronic kidney disease. Clin J Am Soc Nephrol 2009;4:1170-5.         [ Links ]

32. Beaulieu M, Levin A. Analysis of multidisciplinary care models and interface with primary care in management of chronic kidney disease. Semin Nephrol 2009;29:467-74.         [ Links ]

33. Santos FR, Lima LA, Elias FCA, et al. Satisfação do paciente com o atendimento interdisciplinar num ambulatório de prevenção da doença renal crônica. J Bras Nefrol 2008;30:151-6.         [ Links ]

 

 

Correspondence to:
Natália Maria da Silva Fernandes
Rua Jamil Altaff 132,
Bairro Vale do Ipê
Juiz de Fora – MG – Brazil
Zip code 36035-380
E-mail: nataliafernandes02@gmail.com

Submitted on: 08/29/2011
Approved on: 11/22/2011

 

 

This study was undertaken at Núcleo Interdisciplinar de Ensino e Pesquisas em Nefrologia – NIEPEN/IMEPEN and UFJF.
The authors report no conflict of interest.