Home About us Current issue Back issues Submission Instructions Advertise Contact Login   

Search Article 
  
Advanced search 
 
Saudi Journal of Kidney Diseases and Transplantation
Users online: 11371 Home Bookmark this page Print this page Email this page Small font sizeDefault font size Increase font size 
 

Table of Contents   
RENAL DATA FROM ASIA - AFRICA  
Year : 2016  |  Volume : 27  |  Issue : 6  |  Page : 1217-1223
Proteinuria, graft outcomes, and cardiovascular risk among kidney transplant recipients in a South African Public Hospital


1 Division of Nephrology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa; Department of Medicine, Yariman Bakura Specialist Hospital, Gusau, Nigeria
2 Division of Nephrology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
3 Division of Cardiology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa

Click here for correspondence address and email

Date of Web Publication28-Nov-2016
 

   Abstract 

Proteinuria is a marker of poor long-term graft survival and an independent risk factor for total and cardiovascular mortality in the transplant population. We investigated the prevalence of proteinuria and its relationship with graft function and cardiovascular risk factors in kidney transplant recipients (KTRs). Adult KTRs at the Charlotte Maxeke Johannesburg Academic Hospital were recruited. Patients' records were reviewed for information on their posttransplant follow-up. Echocardiography and carotid Doppler were performed for the assessment of cardiac status and carotid intima-media thickness (CIMT), respectively. Proteinuria was analyzed both as a categorical and continuous variable. Graft dysfunction was defined as estimated glomerular filtration rate of <60 mL/min/1.73 m 2 based on the modification of diet in renal disease formula. Framingham's risk score was used to categorize patients' cardiovascular risk. Inferential and modeling statistics were applied as appropriate using Statistical Package for Social Sciences, and P ≤0.05 was considered statistically significant. One hundred KTRs including 63% males were recruited. Proteinuria was present in 51%, the mean ± standard deviation 24 h urinary protein excretion per day was 1.67 ± 2.0 g/day with a range of 0.4-9.4 g/day. Graft dysfunction was found in 52% of patients and 36% had high cardiovascular disease (CVD) risk. Proteinuric KTRs had high CVD risk, P = 0.002. Proteinuria was associated with graft dysfunction, increased left ventricular mass index, increased CIMT, and anemia. Proteinuria is prevalent; it is a marker of graft dysfunction and is associated with markers of atherosclerosis.

How to cite this article:
Sakajiki AM, Naidoo S, Manga P, Nazir M S, Naicker S. Proteinuria, graft outcomes, and cardiovascular risk among kidney transplant recipients in a South African Public Hospital. Saudi J Kidney Dis Transpl 2016;27:1217-23

How to cite this URL:
Sakajiki AM, Naidoo S, Manga P, Nazir M S, Naicker S. Proteinuria, graft outcomes, and cardiovascular risk among kidney transplant recipients in a South African Public Hospital. Saudi J Kidney Dis Transpl [serial online] 2016 [cited 2020 Aug 6];27:1217-23. Available from: http://www.sjkdt.org/text.asp?2016/27/6/1217/194655

   Introduction Top


Proteinuria is highly prevalent after kidney transplantation and is seen in up to 45% of kidney transplant recipients (KTRs). It is associated with decreased patient and allograft survival as well as an increased risk of cardiovascular events. [1] The risk of death from all causes and from cardiovascular disease (CVD) increases with increasing amounts of proteinuria. [2] Even microalbuminuria is associated with inflammatory markers such as C-reactive protein and cardiovascular risk factors. [3] Sancho et al [4] showed that proteinuria >0.5 g/day was associated with a five-year graft survival rate of only 69% compared with 93% for those without proteinuria. Proteinuric patients are more likely to have delayed graft function (DGF; 53.4% vs. 31.2%; P = 0.001), but notacute rejection (27.2% vs. 19.0%; P = 0.14). [4] They also found that systolic blood pressure (SBP), body mass index (BMI), and serum creatinine level were significantly higher in proteinuric transplant recipients. [4] Similarly, Park et al [5] found that patients with proteinuria >1 g/day had a significant decrease in fiveyear graft survival compared with those with no proteinuria (69.4% vs. 86.5%; P <0.01). Both as a categorical and continuous variable, proteinuria has been associated with a significantly greater risk of graft loss. [6],[7] Amer et al. [8] showed that the risk of graft loss increased by 27% for each 1 g/day increase in proteinuria, and this was independent of glomerular pathology on biopsy and glomerular filtration rate (GFR) and was associated with decreased kidney transplant survival. SBP, glycated hemoglobin, and serum creatinine levels significantly correlated with proteinuria. [8] Risk factors for increasing proteinuria included SBP, diastolic blood pressure (DBP), and serum creatinine; in addition, female donor, male recipient, and patients with acute rejection were found to have higher levels of proteinuria. [8],[9] In addition, proteinuria was found to be higher in patients with DGF and acute rejection. Fontan et al [10] showed that DGF, donor age, human leukocyte antigen (HLA) sensitization, and acute rejection were independent predictors of proteinuria at three months in a multivariate-adjusted logistic regression model. DGF and serum creatinine level, both predictors on univariate analysis, were not significant after adjustment. [10]

We aim to determine the prevalence of proteinuria, its relationship with graft function and cardiovascular risk in South African kidney transplant recipients.


   Methods Top


Patients, who received a kidney transplant from June 2005 to December 2009, were enrolled in this cross-sectional study. Information on age, gender, race, physical activity, tobacco use, age at diagnosis of renal failure, cause of renal failure, prior cardiovascular event, family history of CVD, duration on dialysis before transplant, type of dialysis, and number of transplants was collected using a structured interview form. Patients were categorized as smokers, former smokers, or nonsmokers if they never smoked. Previous CVD event was defined as a history of angina, myocardial infarction, coronary artery bypass graft, percutaneous coronary intervention, stroke, peripheral vascular disease, peripheral angioplasty, or amputation. The type of immunosuppressants, use of blood pressure (BP) medications, statins, anti-retroviral drugs, number of HLA mismatches, and biopsy-proven rejection were all recorded. Height and weight were measured with the Detecto Scale (New York), and BMI was calculated as ratio of weight to height squared. Waist circumference was measured using the anterior superior iliac spine as the point of measurement. [3] Graft dysfunction was defined as estimated GFR of <60 mL/min/1.73 m 2 based on the modification of diet in renal disease formula. Framingham's risk score (FRS) was used to categorize patients into different CVD risk groups. This scoring system utilizes age, gender, smoking status, SBP, and total and high-density lipoprotein (HDL) cholesterol. Patients were categorized into low, moderate, high, and very high CVD risk. [11]

Blood pressure

BP was recorded at the time of clinic visit using an Accoson mercury sphygmomanometer in the sitting position. Average BP of four clinic visits was taken as the patient's actual BP (averaged over 12 months). Pulse pressure was calculated as the difference between the SBP and DBP whereas the mean arterial pressure (MAP) was the sum of DBP and one-third of the pulse pressure.

Echocardiography

Echocardiography was performed at the cardiology unit of Charlotte Maxeke Johannesburg Academic Hospital using the Philips iE33 machine equipped with a S5-1 1-5 MHz transducer, allowing for M-mode, two-dimensional, and color Doppler measurements (Philips Corporation, USA).

Carotid intima-media thickness

Carotid intima-media thickness (CIMT) was measured using high-resolution B-mode ultrasonography with a L3-11 MHz linear array transducer (Philips Corporation, USA). Patients were examined in the supine position with the neck hyperextended and the head turned 45° from the side being examined. Reference point for the measurement of CIMT was the beginning of the dilatation of the carotid bulb. CIMT was taken as the distance from the leading edge of the first and second echogenic lines.

Measurements were taken on the longitudinal views of the far walls of the common carotid artery, 1 cm proximal to the dilatation of the carotid bulb. The linear array transducer generates a measurement of the CIMT and displays it on the screen with a percentage success of the procedure, ranging from <50% success to 100%. For this study, a percentage success of >95% was used. The same procedure was used for each side and the mean of the right and left common CIMT was calculated.

The presence of plaques was based on encroachment of localized echogenic structures into the vessel lumen, for which the distance between the media-adventitia interface and the internal side of the lesion was ≥1.2 mm. [5] CIMT was measured in the plaque-free areas, and measurements were carried out on both sides.

Laboratory tests

Serum creatinine, urea, lipids, complete blood count, and urinary protein quantification were measured at the National Health Laboratory Service (NHLS) as part of the standard of care for the follow-up of patients at the kidney transplant clinic. All samples for serum chemistry were analyzed using ADVIA ® Chemistry Systems (Siemens Healthcare Diagnostics Inc.).

Serum creatinine

Serum creatinine was measured using the modified Jaffe method. The normal range for males is 62-106 μmol/L and for females is 44- 80 μmol/L at the NHLS laboratory.

Serum lipids

Serum cholesterol and triglycerides were determined using enzymatic colorimetric methods.

The triglyceride concentration was measured based on the Fossati three-step enzymatic reaction with a Trinder endpoint. HDL cholesterol was measured after precipitation of the nonHDL fraction with phosphotungstate-magnesium, while LDL cholesterol was estimated indirectly by the use of Friedewald formula; LDL cholesterol = total cholesterol − (HDL cholesterol + triglycerides/5).

Complete blood count

Complete blood count was measured using automated hematology analyzer (ADVIA 2120 ® Philips Corporation, USA). This formed part of routine tests performed at every clinic visit.

Urine protein

For 24-h urine protein excretion, the ratio of the urinary protein excretion in mg/dL to that of urinary creatinine in mg/dL from a spot urine sample was used. Proteinuria was defined as urine protein to creatinine ratio (UPCR) more than 0.3 g/day. Spot UPCR has been validated as a better test than 24-h urinary protein quantification; it is not affected by urine volume or concentration, whereas the latter is prone to errors of collection; also, it is inconvenient to the patient and laboratory staff. [6]


   Statistical Analysis Top


All data obtained were analyzed using the Statistical Package for Social Sciences for windows software version 17 (SSPS Inc, Chicago Il, USA). Data were reported as mean ± standard deviation (SD). Differences in means for continuous variables were compared using Student's t-test, whereas categorical variables were compared using Chi-square or Fisher's exact tests, as appropriate.


   Results Top


Of the 100 KTRs studied, 63 were males (63%) and 37 were females (37%). The mean age of the study population was 42.2 ± 12.42 years with a range of 19-70 years. There were 77 blacks (77%), seven whites (7%), 11 colored (11%), and five Asian (5%) recipients. Ninetyfive (95%) had primary transplants whereas five (5%) were second transplants. Hypertension was the cause of end-stage renal disease (ESRD) in 53 (53%), 15 (15%) were diabetic, of these, eight (8%) had diabetes as a cause of ESRD whereas seven (7%) had new-onset diabetes after transplant (NODAT). The cause of ESRD was unknown in 18 (18%).

Proteinuria was present in 51 patients (51%); the mean ± SD urinary protein excretion was 1.67 ± 2.0 g/day with a range of 0.4-9.4 g/day. Nineteen patients were on rapamycin (19%) and 46 (46%) were on angiotensin-converting enzyme inhibitors (ACEI)/angiotensin II receptor blockers (ARB). Sixty-one percent of the proteinuric KTRs were on ACEI/ARB, with only 21.6% of them on rapamycin. Graft dysfunction was found in 52% of the study population. Sixty-four (64%) had a low cardiovascular risk and 36 (36%) had a high risk for CVD.

Clinical and laboratory characteristics of the study population are shown in [Table 1].
Table 1: Clinical and laboratory characteristics of the study population.

Click here to view


Proteinuric KTRs were older, but total steroids dose and LDL cholesterol were similar among the study population as shown in [Table 1].

Proteinuric KTRs were more likely to be males. Proteinuria was associated with high CVD risk and graft dysfunction, as shown in [Table 2].
Table 2: Association of proteinuria with various clinical variables.

Click here to view


MAP and CVD risk showed a significant correlation with proteinuria. Hemoglobin and GFR showed a negative correlation with proteinuria as depicted in [Table 3].
Table 3: Correlation of 24-h protein excretion with cardiovascular risk variables.

Click here to view



   Discussion Top


The prevalence of proteinuria in our study was high (51%); this was also reported by Knoll where he found a prevalence of 45%, [1] in contrast to a report by Fernαndez-Fresnedo et al, in which a prevalence of 15.3% was found at one-year post-transplant. [6] The prevalence of proteinuria in KTRs varies depending on the threshold used to define proteinuria and the period post-transplantation. Amer et al, [8] in the USA, found a prevalence of 45% at one-year post-transplant when they used a threshold of >0.15 g/day, but this prevalence dropped to 15% when the threshold was increased to >0.5 g/day. Halimi et al, [7] in France, found a prevalence of 35.2% at one-year post-transplant when they used a threshold of >0.5 g/day. This difference in prevalence could be explained by our study patients being recruited at least three years after transplantation, with some having their graft for seven years and the threshold of >0.3 g/day used to define proteinuria.

Proteinuric KTRs in this study were older and more likely to be males; Amer et al found proteinuria to be more frequent among males in their cohort of KTRs. [8] Proteinuric KTRs in our cohort had higher SBP, DBP, and MAP. Similar observations were reported by several other authors. [4],[6],[7],[8]

Proteinuria was associated with high CVD risk and graft dysfunction in our KTRs. Similar observations were made in other studies. [2],[6] Anemia, left ventricular mass index, and high BP were found to be associated with proteinuria. These associations were also observed in the Spanish Chronic Allograft Nephropathy study. [6] This finding is not surprising; as graft function deteriorates, BP control becomes more difficult, and anemia becomes more pronounced, all impacting negatively on left ventricular function.

Rejection episodes were not different among the study participants; similar observations were made by Sancho et al in Spain, [4] though, there was a tendency toward proteinuric recipients having more rejection episodes, and this was in contrast to the finding by Halimi et al [7] in France, where they found higher rates of rejection among proteinuric KTRs. Rejection episodes were also reported to be more frequent in proteinuric KTRs by Amer et al [8] in the USA and Fernαndez-Fresnedo et al [6] in Spain.

Higher BMI and waist circumference were found in our proteinuric KTRs; the same finding was reported by other investigators. [4] The association between obesity and proteinuria has been documented in both general and transplant populations. [12],[13]

CIMT, a surrogate marker of atherosclerosis and predictor of cardiovascular events in both kidney transplant and non-transplant populations, [14] was found to be increased in our proteinuric KTRs. Fernαndez-Fresnedo et al [9] showed that proteinuria was predictive of cardiovascular events (ischemic heart disease, peripheral vascular disease, and stroke) in their KTR cohorts. The use of rapamycin, a mammalian target of rapamycin inhibitor (mTOR), was not associated with proteinuria in this study, which is contrary to existing knowledge since proteinuria has been reported to develop and worsen with the use of mTOR inhibitors. [15] This finding may be explained by the relatively small number of our KTRs on mTOR inhibitors. ACEI or ARB is associated with reduction of proteinuria in KTRs, [3] in this study; there was no difference in proteinuria between patients who were on ACEI/ ARB and those who were not.

Limitation of this study was underestimation of CVD risk by the FRS due to non-inclusion of such factors as dialysis and transplantrelated risk factors for CVD.

Another limitation of this study was that histological findings were not correlated with proteinuria, as biopsy was often indicated by features of rejection rather than the presence of proteinuria; the number of biopsies performed for proteinuria alone was too small for analysis.


   Conclusion Top


Proteinuria is prevalent and is a marker of graft dysfunction; it is associated with increased cardiovascular risk in kidney transplant recipients in South Africa. Strategies aimed at reducing proteinuria and reductions in cardiovascular risk are encouraged.


   Acknowledgment Top


We wish to acknowledge the contributions of Prof. Russel Britz and Dr. Ben Wambugu of the Divisions of Vascular Surgery and Nephrology, respectively, University of Witwatersrand, Johannesburg, South Africa.

The approval for this study was granted by the Human Ethics Research Committee of the University of the Witwatersrand Johannesburg, approval number: M120596.

The abstract was presented at the African Nephrology Congress in Accra, Ghana last February 2013.

Conflict of interest: None declared.

 
   References Top

1.
Knoll GA. Proteinuria in kidney transplant recipients: Prevalence, prognosis, and evidencebased management. Am J Kidney Dis 2009;54: 1131-44.  Back to cited text no. 1
    
2.
Suhail SM, Kee TS, Woo KT, et al. Impact of patterns of proteinuria on renal allograft function and survival: A prospective cohort study. Clin Transplant 2011;25:E297-303.  Back to cited text no. 2
    
3.
Hiremath S, Fergusson D, Doucette S, Mulay AV, Knoll GA. Renin angiotensin system blockade in kidney transplantation: A systematic review of the evidence. Am J Transplant 2007;7:2350-60.  Back to cited text no. 3
    
4.
Sancho A, Gavela E, Avila A, et al. Risk factors and prognosis for proteinuria in renal transplant recipients. Transplant Proc 2007;39: 2145-7.  Back to cited text no. 4
    
5.
Park JH, Park JH, Bok HJ, et al. Persistent proteinuria as a prognostic factor for determining long-term graft survival in renal transplant recipients. Transplant Proc 2000;32: 1924.  Back to cited text no. 5
    
6.
Fernández-Fresnedo G, Escallada R, Rodrigo E, et al. The risk of cardiovascular disease associated with proteinuria in renal transplant patients. Transplantation 2002;73:1345-8.  Back to cited text no. 6
    
7.
Halimi JM, Laouad I, Buchler M, et al. Early low-grade proteinuria: Causes, short-term evolution and long-term consequences in renal transplantation. Am J Transplant 2005;5:2281- Diagn Microbiol Infect Dis 2010;66:78.  Back to cited text no. 7
    
8.
Amer H, Fidler ME, Myslak M, et al. Proteinuria after kidney transplantation, relationship to allograft histology and survival. Am J Transplant 2007;7:2748-56.  Back to cited text no. 8
    
9.
Fernández-Fresnedo G, Plaza JJ, Sánchez-Plumed J, Sanz-Guajardo A, Palomar-Fontanet R, Arias M. Proteinuria: A new marker of long-term graft and patient survival in kidney transplantation. Nephrol Dial Transplant 2004;19 Suppl 3:iii47-51.  Back to cited text no. 9
    
10.
Fontan MP, Rodriguez-Carmona A, Garcia FT, Valdes F. Early proteinuria in renal transplant recipients treated with cyclosporine. Transplantation 1999;67:561-8.  Back to cited text no. 10
    
11.
Kiberd B, Panek R. Cardiovascular outcomes in the outpatient kidney transplant clinic: The Framingham risk score revisited. Clin J Am Soc Nephrol 2008;3:822-8.  Back to cited text no. 11
    
12.
Lentine KL, Rocca-Rey LA, Bacchi G, et al. Obesity and cardiac risk after kidney transplantation: Experience at one center and comprehensive literature review. Transplantation 2008; 86:303-12.  Back to cited text no. 12
    
13.
Kovesdy CP, Czira ME, Rudas A, et al. Body mass index, waist circumference and mortality in kidney transplant recipients. Am J Transplant 2010;10:2644-51.  Back to cited text no. 13
    
14.
Barbagallo CM, Pinto A, Gallo S, et al. Carotid atherosclerosis in renal transplant recipients: Relationships with cardiovascular risk factors and plasma lipoproteins. Transplantation 1999; 67:366-71.  Back to cited text no. 14
    
15.
Stephany BR, Augustine JJ, Krishnamurthi V, et al. Differences in proteinuria and graft function in de novo sirolimus-based vs. calcineurin inhibitor-based immunosuppression in live donor kidney transplantation. Transplantation 2006;82:368-74.  Back to cited text no. 15
    

Top
Correspondence Address:
Aminu Muhammad Sakajiki
Department of Medicine, Yariman Bakura Specialist Hospital, PMB 1010, Gusau, Zamfara State, Nigeria

Login to access the Email id


DOI: 10.4103/1319-2442.194655

PMID: 27900969

Rights and Permissions



 
 
    Tables

  [Table 1], [Table 2], [Table 3]



 

Top
   
 
 
    Similar in PUBMED
    Search Pubmed for
    Search in Google Scholar for
    Email Alert *
    Add to My List *
* Registration required (free)  
 


 
    Abstract
   Introduction
   Methods
   Statistical Analysis
   Results
   Discussion
   Conclusion
   Acknowledgment
    References
    Article Tables
 

 Article Access Statistics
    Viewed1171    
    Printed10    
    Emailed0    
    PDF Downloaded163    
    Comments [Add]    

Recommend this journal