Chronic kidney disease and measurement of albuminuria or proteinuria: a position statement

David W Johnson, Graham R D Jones, Timothy H Mathew, Marie J Ludlow, Stephen J Chadban, Tim Usherwood, Kevan Polkinghorne, Stephen Colagiuri, George Jerums, Richard MacIsaac and Helen Martin, Australasian Proteinuria Consensus Working Group
Med J Aust 2012; 197 (4): 224-225. || doi: 10.5694/mja11.11468
Published online: 20 August 2012

Chronic kidney disease (CKD), defined as reduced kidney function (glomerular filtration rate [GFR] < 60 mL/min/1.73m2) and/or evidence of kidney damage (usually indicated by albuminuria or proteinuria) for a period of at least 3 months,1 is a major public health problem in Australia and throughout the world. Based on data from the Australian Diabetes, Obesity and Lifestyle (AusDiab) Study,2,3 it is estimated that about 6 million individuals have one or more of the major risk factors for CKD and that about 1.4 million Australian adults have CKD.

Early identification and management of CKD is highly cost-effective and can reduce the risk of kidney failure progression and cardiovascular disease by up to 50%.4 Therefore, increasing the recognition of kidney damage and impaired kidney function, which is often asymptomatic, is a key part of improving health outcomes in the community.

Previously, work by the Australasian Creatinine Consensus Working Group has resulted in automatic reporting of an estimated GFR (eGFR) with requests for serum creatinine concentration in individuals aged ≥ 18 years and unification of units of measurement for creatinine and GFR, and has promoted standardisation of assays.5,6 However, not all patients with CKD have a reduced eGFR, and a significant proportion can only be detected by assessing albuminuria or proteinuria. In the AusDiab study, 57% of subjects with albuminuria or proteinuria did not have an eGFR < 60 mL/min/1.73m2. Large population studies have consistently shown that albuminuria and proteinuria strongly and independently predict the risks of CKD progression, cardiovascular disease and all-cause mortality in both diabetic and non-diabetic individuals.7-12 Moreover, combining albuminuria measurement with eGFR provides synergistic, complementary risk stratification for both cardiovascular disease and CKD.7,8,10,13

An audit of primary care records of patients aged 50–75 years who had either hypertension or diabetes showed that only 29% noted a test for proteinuria within the preceding 12 months.14 Moreover, results from two recent surveys of pathology laboratories indicated a lack of standardisation regarding the choice of urinary protein test, units of reporting, and age and sex reference ranges.15,16

In response to these issues, a working group met throughout 2009 to 2011 to develop recommendations on the measurement of urinary albumin and protein (see Box 1 for definitions of terms used in this document). The working group process was sponsored by the Dialysis Nephrology Transplantation Subcommittee of the Australian and New Zealand Society of Nephrology (ANZSN) and consisted of representatives from the ANZSN, the Australasian Association of Clinical Biochemists, the Royal College of Pathologists of Australasia, the Royal Australian College of General Practitioners (RACGP), the Australian Diabetes Society and Kidney Health Australia. Paediatric issues and measurement of albuminuria and proteinuria for the purposes of monitoring patients with CKD were considered beyond the scope of this process.

A meeting of stakeholders was subsequently held in February 2011, including 38 representatives from the aforementioned organisations, representatives from the Australian Practice Nurses Association and consumer representatives. The following evidence-based recommendations17,18 emanated from this meeting. All recommen-dations were endorsed by most representatives. All recommendations contained in this position statement are endorsed by the parent bodies of this process.

1 Preferred method of testing for albuminuria in the detection of CKD

Measuring albumin level to detect CKD is already recommended for individuals with diabetes mellitus because the bulk of published evidence linking screening or treatments with clinical outcomes has centred on testing for albuminuria.19,20 It has not yet been established whether testing for albuminuria or proteinuria is superior for detecting CKD or determining risk of progression in individuals who do not have diabetes.21,22 However, a recent retrospective longitudinal cohort study of 5586 people with CKD at a single renal centre showed that UACR performed as well as urinary protein-to-creatinine ratio (UPCR) and 24-hour urinary albumin and protein measurements in predicting doubling of serum creatinine, commencement of renal replacement therapy and all-cause mortality.23

The working group recommended initial testing for albuminuria rather than proteinuria as the preferred strategy in most individuals at risk of CKD on the basis that laboratory measurement of albuminuria:

Albumin is the most commonly increased urinary protein in most nephropathies. Furthermore, the simplified initial testing strategy of urinary albumin assessment in all individuals at risk of CKD was considered highly desirable by the working group.

The principal disadvantages of selecting albuminuria in preference to proteinuria for CKD screening among individuals who don’t have diabetes are that the evidence base for CKD intervention strategies based on proteinuria is greater than it is for albuminuria, that proteinuria has traditionally been measured in some specific clinical settings (eg, pre-eclampsia),34 and that tubular proteinuria may be missed in a small number of individuals (eg, children with Fanconi syndrome and adults with multiple myeloma). The working group felt that the clinical risk of missing tubular proteinuria was low and was outweighed by the benefits of recommending UACR in preference to UPCR for CKD assessment.

Although dipstick testing of urine with protein or albumin reagent strips has long been established in clinical practice and has often been recommended for early detection of CKD in patients who do not have diabetes,35-38 its usefulness as an early detection strategy is significantly limited by poor sensitivity, marked operator dependency and limited evidence of its cost-effectiveness in high-risk populations.22,39-41 A recent analysis of the AusDiab study showed that, for the detection of a laboratory-confirmed UACR ≥ 30 mg/g among adults with diabetes, hypertension or eGFR < 60 mL/min/1.73m2 in the general community, urine dipstick results of 1+ or greater had mean sensitivity of 59%–64%, mean specificity of 93%–95%, mean positive predictive values of 66%–72% and mean negative predictive values of 90%–94%. The corresponding values for UACR ≥ 300 mg/g were 98%–100%, 84%–90%, 16%–24% and 100%.41

In relation to specimen collection, while timed urine collection is considered the gold standard for evaluating albuminuria or proteinuria, it has logistical difficulties. In routine clinical practice, 24-hour collections are inconvenient to patients and are subject to significant inaccuracies due to incomplete collection of all urine voided, timing errors and appreciable intra-individual variation due to varying activity, hydration and diet.22 Measurement of albuminuria in a first morning void specimen provides acceptable accuracy and reliability in most circumstances.42,43 Since urinary protein excretion follows a circadian pattern and tends to be highest in the afternoon, UACR tests are most accurate when performed on early morning (first-void) urine specimens.42 However, a number of studies have shown that random urine specimens are acceptable if first-void specimens are impractical.42-44 Investigations have also shown that correction of urinary albumin measurements for urinary creatinine excretion accounts for variation in urinary concentration, and results in better correlation with timed urine results.42,45

Recommendation: The preferred method for assessment of albuminuria in both diabetic and non-diabetic individuals is urinary albumin-to-creatinine ratio (UACR) measurement in a first-void (first morning) spot specimen. Where a first-void specimen is not possible or practical, a random spot urine specimen for UACR is acceptable. (Evidence level, 1C)

2 Target population for initial testing for CKD using UACR

The available evidence does not support screening the entire Australian population for albuminuria, proteinuria or CKD.40 Instead, current recommendations strongly advocate targeted opportunistic testing in the primary care setting.46 All adults attending an appointment with their health care practitioner should be assessed for CKD risk factors as part of routine primary health encounters. Diabetes mellitus, hypertension, obesity, current smoking, established cardiovascular disease, family history of CKD and Aboriginal and Torres Strait Islander origin are risk factors for CKD (Box 2). The Kidney Check Australia Taskforce47 and the RACGP “red book”48 recommend that patients with one or more of these risk factors should undergo assessment of UACR and eGFR every 1 to 2 years (annually for individuals with diabetes or hypertension). While being aged 60 years or over is considered to be a risk factor for CKD, in the absence of other risk factors it is not necessary to routinely test these individuals for kidney disease.

Recommendation: Adults with one or more risk factors for CKD should be assessed using UACR and eGFR every 1–2 years, depending on their risk-factor profile. (Evidence level, 2C)

3 Standard cut-points for microalbuminuria and macroalbuminuria based on UACR measurement

A recent survey of Australasian pathology laboratories showed significant variation in the reported cut-points defining microalbuminuria and macroalbuminuria, with many not reporting sex-specific cut-points.16 Since urinary creatinine excretion is influenced by muscle mass, urinary creatinine excretion in men is, on average, 40%–50% higher than in women.49-51 The mean cut-off for conversion of UACR to albumin excretion rate (AER) at the threshold to diagnose microalbuminuria (20 μg/min or 30 mg/day) is greater in women (UACR, 2.8–4.2 mg/mmol) than in men (UACR, 1.8–3.0 mg/mmol).45,49-57 Similar results have been found when using UACR thresholds to predict proteinuria of 0.5 and 1 g/day.58 As a result, international practice guidelines support adjustment of UACR categories by sex, with lower threshold levels used for men than women.20-22,30,57 The definitions and cut-points in Box 3 align with the Australian National Health and Medical Research Council (NHMRC) guidelines for diagnosis, prevention and management of CKD in type 2 diabetes.20

Urinary creatinine excretion and muscle mass are also influenced by ethnicity and age. However, there is insufficient evidence to recommend ethnicity-specific or age-specific cut-points for UACR. Indexing albuminuria or proteinuria against eGFR has been suggested,59 but there is no evidence to support this practice.

Recommendation: All pathology laboratories should report cut-points for microalbuminuria and macroalbuminuria according to the standard definitions. Sex-specific cut-points for UACR measurements are recommended. (Evidence level, 1C)

4 Number of UACR measurements required to establish the presence of persistent albuminuria

Transient albuminuria in the primary care setting can be influenced by a number of pre-existing factors (Box 4).20,29 These factors, together with the high intra-individual coefficient of variation of albuminuria (30%–50%) whether measured as UACR or AER, require that several measurements are undertaken to allow accurate categorisation of albuminuria status. If a UACR is abnormal on at least two occasions over at least 3 months, CKD is present (Box 2). If the first positive UACR is a random spot, then repeat tests should ideally be first morning void specimens. If an initial UACR test is negative, then repeat testing is not required until the next recommended testing interval.

Recommendation: A positive UACR test should be repeated to confirm persistence of albuminuria. CKD is present if two out of three tests (including the initial test) are positive. If the first positive UACR is a random spot (as it may be for opportunistic testing), then repeat tests should ideally be first morning void specimens. (Evidence level, 1C)

5 Estimating urinary protein excretion from urinary albumin excretion or vice versa

The relationship of albuminuria to proteinuria is complex. The simple concept that, for clinical purposes, albuminuria and proteinuria could be considered equivalent is no longer sustainable. Macroalbuminuria is typically associated with proteinuria, but microalbuminuria may not be detected as elevated urinary protein, depending on the decision points selected.29 In the AusDiab study,60 the proportion of urinary protein accounted for by albumin was shown to progressively increase as total proteinuria increased. A recent study of 6761 urine specimens reported considerable scatter of UACR values compared with PCR values,61 while another study of 579 fresh urine specimens with microscopic haematuria (≥ 5 red blood cells/high-power field) observed that the urinary albumin-to-protein ratio was significantly higher in patients with glomerular abnormality than in those with non-glomerular abnormality (0.73 ± 0.11 mg/mg versus 0.41 ± 0.14 mg/mg; P < 0.001).62 A retrospective, observational cohort study of 1696 patients with CKD at a single renal unit showed that the relationship between UACR and UPCR is non-linear and that 24-hour urinary protein could not be adequately predicted from UACR.58 Thus, generating an “estimated UPCR” or “estimated” 24-hour urinary total protein from a UACR is likely to result in significant error.

Recommendation: There is no reliable way of estimating urinary protein excretion from urinary albumin concentration or vice versa. (Evidence level, 1C)

6 Estimating urinary albumin excretion rate from UACR

The relationship between UACR and AER is influenced by determinants of muscle mass, including sex, race, age, body surface area and serum creatinine concentration.49 Studies among patients with diabetes have shown that the use of UACR versus AER provided reasonable agreement for the classification of macroalbuminuria, but yielded important differences in the classification of microalbuminuria.49 The level of agreement with AER for microalbuminuria was not appreciably improved by the use of an AER-estimating equation that incorporated sex or other covariates (age, body surface area, serum creatinine level, systolic blood pressure, use of an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker).49 Nevertheless, the effects of the interventions assessed in the Diabetes Control and Complications Trial and the association with glycaemia were not affected by which measurement method (ACR, estimated AER or AER) was employed.49 The working group considered that, until albumin measurements are standardised and the impact of AER-estimating equations on albuminuria classification are assessed in diverse, widely representative populations, the use of estimated AER cannot be recommended, and ACR should be used as a defined tool in its own right.

Recommendation: Use of estimated albumin excretion rate derived from the UACR is not recommended. (Evidence level, 1C)

7 Role of pathology laboratories

Laboratories should recommend a first morning void specimen for ACR as the preferred test for identification of kidney damage in all settings, although random specimens should be accepted if first morning void specimens are impractical. Collection advice should note the need to avoid the factors listed in Box 4, especially on follow-up testing of positive specimens. UACR should be reported in mg/mmol to one decimal place and the sex-specific ratio ranges (Box 3) should be used as reference intervals. Laboratories should ensure the assays for urinary albumin and creatinine are suited for purpose such that assay imprecision, bias and analytic specificity will not adversely affect clinical decision making. Laboratories should develop standardised reporting so that doctors receive the same medical information irrespective of the laboratory used.

Recommendation: All pathology laboratories in Australia should implement the relevant recommendations contained in this document as a vital component of an integrated national approach to CKD detection.


Identification of CKD relies on correct requesting, performance, reporting and interpretation of laboratory tests. There is now overwhelming evidence that optimal detection and risk stratification in CKD requires consideration of both urinary albumin and eGFR (see recommendations of the Australasian Creatinine Consensus Working Group63). Standardisation of the UACR as the preferred test for albuminuria in the initial assessment of all individuals with possible CKD is an important step towards bringing the best available clinical evidence to routine patient care. The testing process involves many aspects of care, including vital input from clinicians, pathologists, laboratory scientists and researchers, and the involvement of all groups is required to maximise the opportunities for improving kidney and cardiovascular health in Australia.

1 Definitions

Albuminuria: The presence of excessive amounts of the protein albumin in the urine. Microalbuminuria* is a slightly high level, indicated by a urinary albumin-to-creatinine ratio (UACR) of 2.5–25 mg/mmol for men and 3.5–35 mg/mmol for women. Macroalbuminuria is indicated by a UACR of more than 25 mg/mmol for men and more than 35 mg/mmol for women.

First-void (or first morning) specimen: The first urine void, collected after the individual wakes up in the morning.

Proteinuria: The presence of excessive amounts of proteins (> 150 mg per day) in the urine. These proteins typically include albumin, low-molecular-weight immunoglobulins, lysozyme, insulin and β2-microglobulin. Albuminuria and proteinuria are related entities but cannot be considered to be interchangeable.

Spot specimen: A collection from a single episode of passing urine, which need not consist of the entire volume of urine passed at that time. Spot specimens can be specified according to time of day or in relation to an event. A first morning spot specimen is the first urine passed after waking in the morning. A random spot specimen is one where the time of day is not specified (ie, usually not first morning). A spot specimen is distinguished from a timed specimen where the entire volume of urine produced in a specified time period is collected.

* Traditionally defined as a level of urinary albumin excretion that was above the normal range and below the detection threshold of standard urinary protein dipsticks.

Provenance: Not commissioned; externally peer reviewed.

  • David W Johnson1
  • Graham R D Jones2
  • Timothy H Mathew3
  • Marie J Ludlow3
  • Stephen J Chadban4
  • Tim Usherwood5
  • Kevan Polkinghorne6
  • Stephen Colagiuri7
  • George Jerums8
  • Richard MacIsaac8
  • Helen Martin9
  • Australasian Proteinuria Consensus Working Group

  • 1 Department of Nephrology, Princess Alexandra Hospital, Brisbane, QLD.
  • 2 Department of Chemical Pathology, St Vincent’s Hospital, Sydney, NSW.
  • 3 Kidney Health Australia, Adelaide, SA.
  • 4 Sydney Medical School, University of Sydney, Sydney, NSW.
  • 5 Department of General Practice, Sydney Medical School Westmead, Sydney, NSW.
  • 6 Department of Nephrology, Monash Medical Centre, Melbourne, VIC.
  • 7 Boden Institute of Obesity, Nutrition and Exercise, University of Sydney, Sydney, NSW.
  • 8 Department of Endocrinology and Diabetes, St Vincent's Hospital, Melbourne, VIC.
  • 9 Gribbles Pathology, Adelaide, SA.



David Johnson has received consulting fees or honoraria from Amgen, Roche, Shire, Genzyme, Boehringer-Ingelheim, Baxter Healthcare and Fresenius Medical Care; support for travel to meetings from Baxter, Amgen, Roche and Shire; and payment for development of educational presentations from the Australian College of Rural and Remote Medicine and the Northern Territory Division of General Practice. Graham Jones has received research support from Roche Diagnostics and support for travel to meetings from Roche Diagnostics and Bio-Rad. Stephen Chadban has received research support, travel assistance, consulting fees or honoraria from Amgen, Roche, Novartis, Genzyme, Wyeth and Bristol Myers Squibb. Richard MacIsaac has received speaker’s fees or travel support to attend meetings from Boehringer-Ingelheim, AstraZeneca, Eli Lilly, MSD, Novartis, Novo Nordisk and Sanofi Aventis. He has received grants from Novo Nordisk.

Competing interests:

David Johnson has received consulting fees or honoraria from Amgen, Roche, Shire, Genzyme, Boehringer-Ingelheim, Baxter Healthcare and Fresenius Medical Care; support for travel to meetings from Baxter, Amgen, Roche and Shire; and payment for development of educational presentations from the Australian College of Rural and Remote Medicine and the Northern Territory Division of General Practice.

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