Is hyperfiltration associated with higher urine albumin-to-creatinine ratio at follow up among Indigenous Australians? The eGFR follow-up study

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Abstract

Background

Glomerular hyperfiltration is not able to be detected in clinical practice. We assessed whether hyperfiltration is associated with albuminuria progression among Indigenous Australians at high risk of diabetes and kidney disease to determine its role in kidney disease progression.

Methods

Longitudinal observational study of Indigenous Australians aged ≥18 years recruited from >20 sites, across diabetes and/or kidney function strata. At baseline, iohexol clearance was used to measure glomerular filtration rate (mGFR) and hyperfiltration was defined as (i) a mGFR of ≥125 mL/min/1.73 m2, and (ii) an age-adjusted definition, with the top 10% of the mGFR for each 10 year age group at baseline. Baseline and follow-up urine albumin-to-creatinine ratio (uACR) was collected, and linear regression was used to assess the associations of hyperfiltration and uACR at follow up.

Results

407 individuals (33% men, mean age 47 years) were followed-up for a median of 3 years. At baseline, 234 had normoalbuminuria and 173 had albuminuria. Among participants with normoalbuminuria, those with mGFR ≥125 mL/min/1.73 m2 had 32% higher uACR at follow-up (p = 0.08), and those with age-adjusted hyperfiltration had 60% higher uACR (p = 0.037) compared to those who had normofiltration. These associations were independent of uACR at baseline, but attenuated by HbA1c. Associations were stronger among those without than those with albuminuria at baseline.

Conclusions

Although not available for assessment in current clinical practice, hyperfiltration may represent a marker of subsequent albuminuria progression among individuals who have not yet developed albuminuria.

Introduction

Indigenous populations, including Indigenous Australians, experience very high rates of both type 2 diabetes and kidney disease.1., 2., 3. Diabetes is the leading cause of end stage kidney disease in Australia. Up to 77% of Indigenous Australians diagnosed with end stage kidney disease have diabetes as a co-morbidity compared to 33% of non-Indigenous Australians with end stage kidney disease.4 Early diabetes has been characterised by elevated glomerular filtration. It is thought that the processes that occur during hyperfiltration may have a detrimental effect on the kidney.5 However, the significance of hyperfiltration in terms of causing or predicting the development of albuminuria and chronic kidney disease remains uncertain.

Several structural and functional changes, including hyperfiltration (early on) and increased albuminuria (later on) may be associated with the development of chronic kidney disease (CKD) in patients with diabetes.6., 7., 8., 9. The presence of albuminuria is an important and well recognized risk factor for the development of CKD, particularly in Indigenous Australians10,11 and in other Indigenous populations across the world including in Pima Indians with diabetes.12 The association of albuminuria with accelerated glomerular filtration rate (GFR) loss has been confirmed in several studies,13,14 and the CKD classification incorporates albuminuria stage along with the estimated GFR.15 Although the majority of people with diabetes follow a classical albuminuria-based pathway,8 normoalbuminuric progression of diabetic kidney disease is also recognized.8,16

The significance of hyperfiltration in terms of causing or predicting the development of albuminuria and CKD remains uncertain as previous studies report conflicting findings, partly due to methodological problems associated with accurately measuring true GFR in the hyperfiltering range, and also due to a lack of studies utilising measured GFR with sufficient long term follow-up.17 Evidence that hyperfiltration has a pathological impact on renal function has mostly been elucidated from animal studies.18 In humans, some,19 but not all,20 studies have demonstrated an association between the presence of hyperfiltration at baseline and higher follow-up urine albumin-to-creatinine ratio (uACR). Most studies involve individuals with type 1 diabetes,19., 20., 21., 22. and fewer studies have assessed the contribution of hyperfiltration to progression of albuminuria among individuals with type 2 diabetes.23 The limitations of the studies on participants with type 2 diabetes include small sample sizes,24,25 use of estimated GFR (eGFR) instead of measured GFR (mGFR)26 and the inclusion of participants with pre-existing albuminuria,23 making it difficult to assess the temporal association between hyperfiltration and albuminuria progression.

There are no studies assessing the relationship between hyperfiltration and albuminuria progression in Indigenous Australians, who have a very high prevalence of diabetes and kidney disease. Previously, we have shown in Indigenous Australians that albuminuria is a strong predictor of eGFR decline,27 and demonstrated that the prevalence of hyperfiltration varied from 7% to 27% depending on the definition of hyperfiltration employed.28 Furthermore, while hyperfiltration was more prevalent among those with, than those without type 2 diabetes, a significant proportion of those with intermediate hyperglycaemia also had hyperfiltration,28 suggesting that hyperfiltration may be associated with metabolic abnormalities before diabetes is diagnosed.

In this analysis of longitudinal data from the eGFR study cohort, we now aim to assess the temporal associations between baseline hyperfiltration determined from directly measured GFR, and uACR at follow-up, after considering baseline uACR, HbA1c and other covariates. As it is likely that those with pre-existing albuminuria may already be on a pathway for albuminuria progression, we chose to undertake analyses separately in those with normoalbuminuria and albuminuria at baseline. We hypothesized that in this population with a high burden of metabolic syndrome, diabetes and kidney disease, the presence of hyperfiltration at baseline will be associated with an increased risk of greater uACR at follow up.

Section snippets

Participants

The eGFR study is a prospective observational study of Indigenous Australians who were recruited from over 20 sites among various regions of Australia.29 A convenience sample of participants were recruited across five pre-defined strata of diabetes status and kidney function between 2007 and 2011 from primary care facilities, hospital specialist clinics and the general community.28 The initial aim of the study was to assess the accuracy of the equations used to estimate the GFR, and the study

Baseline characteristics

There were 654 Indigenous Australian participants in the baseline eGFR study,28 of whom 520 participants had both baseline and follow up uACR with a median of 3 years follow-up.25 Of these, 407 participants (38% men, mean age 47 years) also had mGFR at baseline and were thus included in this analysis. Among the 234 with normoalbuminuria at baseline, 94 (74%) had intermediate hyperglycaemia and 66 (36%) had diabetes, and among the 173 with albuminuria at baseline, 33 (26%) had intermediate

Discussion

Here we report on findings from the first study to assess whether hyperfiltration determined from directly measured GFR is associated with subsequently greater uACR level in Indigenous Australians who have a high prevalence of type 2 diabetes and kidney disease. This is an important study as while the relationship of hyperfiltration and development of albuminuria has been described in many studies enrolling individuals with type 1 diabetes,22 there are few prospective studies of individuals

Conclusions

Hyperfiltration is not available for assessment in current clinical practice. However, our study shows that hyperfiltration is present in a significant proportion of Indigenous Australians without albuminuria and it is associated with higher uACR over a three year follow-up period. Importantly, hyperfiltration was identified in participants with both type 2 diabetes and intermediate hyperglycaemia and appears to be associated with other metabolic factors. Few studies have assessed the kidney

Acknowledgements

The authors gratefully acknowledge the support of eGFR study participants, study staff, and partner organisations. We thank investigators of The eGFR Study not named as authors: Prof Alex Brown, Prof Robyn McDermott, Dr. Andrew Ellis, Dr. Kevin Warr, Dr. William Majoni, Dr. Andrew Ellis; We thank Loyla Leysley, Sian Graham, Mary Ward and Joseph Fitz for assistance with follow-up in their communities. Thank you to Melbourne Pathology for providing the technical support in the enzymatic

Authors contribution

All authors (Elif I Ekinci, Elizabeth LM Barr, Federica Barzi, Jaquelyne T Hughes, Paul D Lawton, Graham RD Jones, Wendy Hoy, Alan Cass, Mark Thomas, Ashim Sinha, George Jerums, Kerin O'Dea, Richard J MacIsaac, Louise J Maple-Brown) have contributed to:

  • 1.

    Conception or design, or analysis and interpretation of data, or both:

  • 2.

    Drafting the article or revising it.

  • 3.

    Providing intellectual content of critical importance to the work described.

  • 4.

    Final approval of the version to be published.

Funding

The eGFR Study was funded by the National Health and Medical Research Council (NHMRC), Australia (NHMRC, Project Grants #545202 and 1021460). The eGFR Study received additional support from NHMRC Program Grant #631947, Kidney Health Australia, Australia, Colonial Foundation, Australia, Rebecca L Cooper Foundation, Australia and SeaSwift, Thursday Island, Australia. EIE was supported by an NHMRC Early Career Fellowship: Health Professional Research Fellowship (Part Time, #1054312), Charles and

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  • Conflict Of Interest Statement: The authors report no conflict of interest. The results presented in this paper have not been published previously in whole or part, except in abstract format.

    1

    Equal contribution.

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