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Dive into the research topics where Kevan R. Polkinghorne is active.

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Featured researches published by Kevan R. Polkinghorne.


The Lancet | 2010

Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis.

Kunihiro Matsushita; Marije van der Velde; Brad C. Astor; Mark Woodward; Andrew S. Levey; Paul E. de Jong; Josef Coresh; Ron T. Gansevoort; Meguid El-Nahas; Kai-Uwe Eckardt; Bertram L. Kasiske; Marcello Tonelli; Brenda R. Hemmelgarn; Yaping Wang; Robert C. Atkins; Kevan R. Polkinghorne; Steven J. Chadban; Anoop Shankar; Ronald Klein; Barbara E. K. Klein; Haiyan Wang; Fang Wang; Zhang L; Lisheng Liu; Michael G. Shlipak; Mark J. Sarnak; Ronit Katz; Linda P. Fried; Tazeen H. Jafar; Muhammad Islam

BACKGROUND Substantial controversy surrounds the use of estimated glomerular filtration rate (eGFR) and albuminuria to define chronic kidney disease and assign its stages. We undertook a meta-analysis to assess the independent and combined associations of eGFR and albuminuria with mortality. METHODS In this collaborative meta-analysis of general population cohorts, we pooled standardised data for all-cause and cardiovascular mortality from studies containing at least 1000 participants and baseline information about eGFR and urine albumin concentrations. Cox proportional hazards models were used to estimate hazard ratios (HRs) for all-cause and cardiovascular mortality associated with eGFR and albuminuria, adjusted for potential confounders. FINDINGS The analysis included 105,872 participants (730,577 person-years) from 14 studies with urine albumin-to-creatinine ratio (ACR) measurements and 1,128,310 participants (4,732,110 person-years) from seven studies with urine protein dipstick measurements. In studies with ACR measurements, risk of mortality was unrelated to eGFR between 75 mL/min/1.73 m(2) and 105 mL/min/1.73 m(2) and increased at lower eGFRs. Compared with eGFR 95 mL/min/1.73 m(2), adjusted HRs for all-cause mortality were 1.18 (95% CI 1.05-1.32) for eGFR 60 mL/min/1.73 m(2), 1.57 (1.39-1.78) for 45 mL/min/1.73 m(2), and 3.14 (2.39-4.13) for 15 mL/min/1.73 m(2). ACR was associated with risk of mortality linearly on the log-log scale without threshold effects. Compared with ACR 0.6 mg/mmol, adjusted HRs for all-cause mortality were 1.20 (1.15-1.26) for ACR 1.1 mg/mmol, 1.63 (1.50-1.77) for 3.4 mg/mmol, and 2.22 (1.97-2.51) for 33.9 mg/mmol. eGFR and ACR were multiplicatively associated with risk of mortality without evidence of interaction. Similar findings were recorded for cardiovascular mortality and in studies with dipstick measurements. INTERPRETATION eGFR less than 60 mL/min/1.73 m(2) and ACR 1.1 mg/mmol (10 mg/g) or more are independent predictors of mortality risk in the general population. This study provides quantitative data for use of both kidney measures for risk assessment and definition and staging of chronic kidney disease. FUNDING Kidney Disease: Improving Global Outcomes (KDIGO), US National Kidney Foundation, and Dutch Kidney Foundation.Background A comprehensive evaluation of the independent and combined associations of estimated glomerular filtration rate (eGFR) and albuminuria with mortality is required for assessment of the impact of kidney function on risk in the general population, with implications for improving the definition and staging of chronic kidney disease (CKD).


The Medical Journal of Australia | 2012

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

David W. Johnson; Graham Jones; Timothy H. Mathew; Marie Ludlow; Stephen J Chadban; Tim Usherwood; Kevan R. Polkinghorne; Stephen Colagiuri; George Jerums; Richard J. MacIsaac; Helen Martin

Optimal detection and subsequent risk stratification of people with chronic kidney disease (CKD) requires simultaneous consideration of both kidney function (glomerular filtration rate [GFR]) and kidney damage (as indicated by albuminuria or proteinuria). Measurement of urinary albuminuria and proteinuria is hindered by a lack of standardisation regarding requesting, sample collection, reporting and interpretation of tests. A multidisciplinary working group was convened with the goal of developing and promoting recommendations that achieve consensus on these issues. The working group recommended that the preferred method for assessment of albuminuria in both diabetic and non‐diabetic patients is urinary albumin‐to‐creatinine ratio (UACR) measurement in a first‐void spot urine specimen. Where a first‐void specimen is not possible or practical, a random spot urine specimen for UACR is acceptable. The working group recommended that adults with one or more risk factors for CKD should be assessed using UACR and estimated GFR every 1–2 years, depending on their risk‐factor profile. Recommended testing algorithms and sex‐specific cut‐points for microalbuminuria and macroalbuminuria are provided. The working group recommended that all pathology laboratories in Australia should implement the relevant recommendations as a vital component of an integrated national approach to detection of CKD.


The Medical Journal of Australia | 2012

Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: new developments and revised recommendations

David W. Johnson; Graham Jones; Timothy H. Mathew; Marie Ludlow; Matthew P. Doogue; Matthew D. Jose; Robyn Langham; Paul D. Lawton; Steven McTaggart; Michael Peake; Kevan R. Polkinghorne; Tim Usherwood

The publication of the Australasian Creatinine Consensus Working Groups position statements in 2005 and 2007 resulted in automatic reporting of estimated glomerular filtration rate (eGFR) with requests for serum creatinine concentration in adults, facilitated the unification of units of measurement for creatinine and eGFR, and promoted the standardisation of assays. New advancements and continuing debate led the Australasian Creatinine Consensus Working Group to reconvene in 2010. The working group recommends that the method of calculating eGFR should be changed to the Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) formula, and that all laboratories should report eGFR values as a precise figure to at least 90 mL/min/1.73 m2. Age‐related decision points for eGFR in adults are not recommended, as although an eGFR < 60 mL/min/1.73 m2 is very common in older people, it is nevertheless predictive of significantly increased risks of adverse clinical outcomes, and should not be considered a normal part of ageing. If using eGFR for drug dosing, body size should be considered, in addition to referring to the approved product information. For drugs with a narrow therapeutic index, therapeutic drug monitoring or a valid marker of drug effect should be used to individualise dosing. The CKD‐EPI formula has been validated as a tool to estimate GFR in some populations of non‐European ancestry living in Western countries. Pending publication of validation studies, the working group also recommends that Australasian laboratories continue to automatically report eGFR in Aboriginal and Torres Strait Islander peoples. The working group concluded that routine calculation of eGFR is not recommended in children and youth, or in pregnant women. Serum creatinine concentration (preferably using an enzymatic assay for paediatric patients) should remain as the standard test for kidney function in these populations.


JAMA | 2012

Comparison of risk prediction using the CKD-EPI equation and the MDRD Study equation for estimated glomerular filtration rate

Kunihiro Matsushita; Bakhtawar K. Mahmoodi; Mark Woodward; Jonathan Emberson; Tazeen H. Jafar; Sun Ha Jee; Kevan R. Polkinghorne; Anoop Shankar; David H. Smith; Marcello Tonelli; David G. Warnock; Chi Pang Wen; Josef Coresh; Ron T. Gansevoort; Brenda R. Hemmelgarn; Andrew S. Levey

CONTEXT The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation more accurately estimates glomerular filtration rate (GFR) than the Modification of Diet in Renal Disease (MDRD) Study equation using the same variables, especially at higher GFR, but definitive evidence of its risk implications in diverse settings is lacking. OBJECTIVE To evaluate risk implications of estimated GFR using the CKD-EPI equation compared with the MDRD Study equation in populations with a broad range of demographic and clinical characteristics. DESIGN, SETTING, AND PARTICIPANTS A meta-analysis of data from 1.1 million adults (aged ≥ 18 years) from 25 general population cohorts, 7 high-risk cohorts (of vascular disease), and 13 CKD cohorts. Data transfer and analyses were conducted between March 2011 and March 2012. MAIN OUTCOME MEASURES All-cause mortality (84,482 deaths from 40 cohorts), cardiovascular mortality (22,176 events from 28 cohorts), and end-stage renal disease (ESRD) (7644 events from 21 cohorts) during 9.4 million person-years of follow-up; the median of mean follow-up time across cohorts was 7.4 years (interquartile range, 4.2-10.5 years). RESULTS Estimated GFR was classified into 6 categories (≥90, 60-89, 45-59, 30-44, 15-29, and <15 mL/min/1.73 m(2)) by both equations. Compared with the MDRD Study equation, 24.4% and 0.6% of participants from general population cohorts were reclassified to a higher and lower estimated GFR category, respectively, by the CKD-EPI equation, and the prevalence of CKD stages 3 to 5 (estimated GFR <60 mL/min/1.73 m(2)) was reduced from 8.7% to 6.3%. In estimated GFR of 45 to 59 mL/min/1.73 m(2) by the MDRD Study equation, 34.7% of participants were reclassified to estimated GFR of 60 to 89 mL/min/1.73 m(2) by the CKD-EPI equation and had lower incidence rates (per 1000 person-years) for the outcomes of interest (9.9 vs 34.5 for all-cause mortality, 2.7 vs 13.0 for cardiovascular mortality, and 0.5 vs 0.8 for ESRD) compared with those not reclassified. The corresponding adjusted hazard ratios were 0.80 (95% CI, 0.74-0.86) for all-cause mortality, 0.73 (95% CI, 0.65-0.82) for cardiovascular mortality, and 0.49 (95% CI, 0.27-0.88) for ESRD. Similar findings were observed in other estimated GFR categories by the MDRD Study equation. Net reclassification improvement based on estimated GFR categories was significantly positive for all outcomes (range, 0.06-0.13; all P < .001). Net reclassification improvement was similarly positive in most subgroups defined by age (<65 years and ≥65 years), sex, race/ethnicity (white, Asian, and black), and presence or absence of diabetes and hypertension. The results in the high-risk and CKD cohorts were largely consistent with the general population cohorts. CONCLUSION The CKD-EPI equation classified fewer individuals as having CKD and more accurately categorized the risk for mortality and ESRD than did the MDRD Study equation across a broad range of populations.


The New England Journal of Medicine | 2013

Cystatin C versus Creatinine in Determining Risk Based on Kidney Function

Michael G. Shlipak; Kunihiro Matsushita; Johan Ärnlöv; Lesley A. Inker; Ronit Katz; Kevan R. Polkinghorne; Dietrich Rothenbacher; Mark J. Sarnak; Brad C. Astor; Josef Coresh; Andrew S. Levey; Ron T. Gansevoort

BACKGROUND Adding the measurement of cystatin C to that of serum creatinine to determine the estimated glomerular filtration rate (eGFR) improves accuracy, but the effect on detection, staging, and risk classification of chronic kidney disease across diverse populations has not been determined. METHODS We performed a meta-analysis of 11 general-population studies (with 90,750 participants) and 5 studies of cohorts with chronic kidney disease (2960 participants) for whom standardized measurements of serum creatinine and cystatin C were available. We compared the association of the eGFR, as calculated by the measurement of creatinine or cystatin C alone or in combination with creatinine, with the rates of death (13,202 deaths in 15 cohorts), death from cardiovascular causes (3471 in 12 cohorts), and end-stage renal disease (1654 cases in 7 cohorts) and assessed improvement in reclassification with the use of cystatin C. RESULTS In the general-population cohorts, the prevalence of an eGFR of less than 60 ml per minute per 1.73 m(2) of body-surface area was higher with the cystatin C-based eGFR than with the creatinine-based eGFR (13.7% vs. 9.7%). Across all eGFR categories, the reclassification of the eGFR to a higher value with the measurement of cystatin C, as compared with creatinine, was associated with a reduced risk of all three study outcomes, and reclassification to a lower eGFR was associated with an increased risk. The net reclassification improvement with the measurement of cystatin C, as compared with creatinine, was 0.23 (95% confidence interval [CI], 0.18 to 0.28) for death and 0.10 (95% CI, 0.00 to 0.21) for end-stage renal disease. Results were generally similar for the five cohorts with chronic kidney disease and when both creatinine and cystatin C were used to calculate the eGFR. CONCLUSIONS The use of cystatin C alone or in combination with creatinine strengthens the association between the eGFR and the risks of death and end-stage renal disease across diverse populations. (Funded by the National Kidney Foundation and others.).


Journal of The American Society of Nephrology | 2004

Vascular Access and All-Cause Mortality: A Propensity Score Analysis

Kevan R. Polkinghorne; Stephen P. McDonald; Robert C. Atkins; Peter G. Kerr

The native arteriovenous fistula (AVF) is the preferred vascular access because of its longevity and its lower rates of infection and intervention. Recent studies suggest that the AVF may offer a survival advantage. Because these data were derived from observational studies, they are prone to potential bias. The use of propensity scores offers an additional method to reduce bias resulting from nonrandomized treatment assignment. Adult (age 18 yr or more) patients who commenced hemodialysis in Australia and New Zealand on April 1, 1999, until March 31, 2002, were studied by using the Australian and New Zealand Dialysis and Transplant Association (ANZDATA) Registry. Cox regression was used to determine the effect of access type on total mortality. Propensity scores were calculated and used both as a controlling variable in the multivariable model and to construct matched cohorts. The catheter analysis was stratified by dialysis duration at entry to ANZDATA to satisfy the proportional-hazard assumption. There were 612 deaths in 3749 patients (median follow-up, 1.07 yr). After adjustment for confounding factors and propensity scores, catheter use was predictive of mortality. Patients with arteriovenous grafts (AVG) also had a significantly increased risk of death. Effect estimates were also consistent in the smaller propensity score-matched cohorts. Both AVG and catheter use in incident hemodialysis patients are associated with significant excess of total mortality. Reducing catheter use and increasing the proportion of patients commencing hemodialysis with a mature AVF remain important clinical objectives.


Journal of The American Society of Nephrology | 2009

Relationship between Dialysis Modality and Mortality

Stephen P. McDonald; Mark R. Marshall; David W. Johnson; Kevan R. Polkinghorne

Mortality differences between peritoneal dialysis (PD) and hemodialysis (HD) are widely debated. In this study, mortality was compared between patients treated with PD and HD (including home HD) using data from 27,015 patients in the Australia and New Zealand Dialysis and Transplant Registry, 25,287 of whom were still receiving PD or HD 90 d after entry into the registry. Overall mortality rates were significantly lower during the 90- to 365-d period among those being treated with PD at day 90 (adjusted hazard ratio [HR] 0.89; 95% confidence interval [CI] 0.81 to 0.99]; P < 0.001). This effect, however, varied in direction and size with the presence of comorbidities: Younger patients without comorbidities had a mortality advantage with PD treatment, but other groups did not. After 12 mo, the use of PD at day 90 was associated with significantly increased mortality (adjusted HR 1.33; 95% CI 1.24 to 1.42; P < 0.001). In a supplementary as-treated analysis, PD treatment was associated with lower mortality during the first 90 d (adjusted HR 0.67; 95% CI 0.56 to 0.81; P < 0.001). These data suggest that the effect of dialysis modality on survival for an individual depends on time, age, and presence of comorbidities. Treatment with PD may be advantageous initially but may be associated with higher mortality after 12 mo.


American Journal of Kidney Diseases | 2010

Comparison of the Prevalence and Mortality Risk of CKD in Australia Using the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Study GFR Estimating Equations: The AusDiab (Australian Diabetes, Obesity and Lifestyle) Study

Sarah L. White; Kevan R. Polkinghorne; Robert C. Atkins; Steven J. Chadban

BACKGROUND The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) is more accurate than the Modification of Diet in Renal Disease (MDRD) Study equation. We applied both equations in a cohort representative of the Australian adult population. STUDY DESIGN Population-based cohort study. SETTING & PARTICIPANTS 11,247 randomly selected noninstitutionalized Australians aged >or= 25 years who attended a physical examination during the baseline AusDiab (Australian Diabetes, Obesity and Lifestyle) Study survey. PREDICTORS & OUTCOMES Glomerular filtration rate (GFR) was estimated using the MDRD Study and CKD-EPI equations. Kidney damage was defined as urine albumin-creatinine ratio >or= 2.5 mg/mmol in men and >or= 3.5 mg/mmol in women or urine protein-creatinine ratio >or= 0.20 mg/mg. Chronic kidney disease (CKD) was defined as estimated GFR (eGFR) >or= 60 mL/min/1.73 m(2) or kidney damage. Participants were classified into 3 mutually exclusive subgroups: CKD according to both equations; CKD according to the MDRD Study equation, but no CKD according to the CKD-EPI equation; and no CKD according to both equations. All-cause mortality was examined in subgroups with and without CKD. MEASUREMENTS Serum creatinine and urinary albumin, protein, and creatinine measured on a random spot morning urine sample. RESULTS 266 participants identified as having CKD according to the MDRD Study equation were reclassified to no CKD according to the CKD-EPI equation (estimated prevalence, 1.9%; 95% CI, 1.4-2.6). All had an eGFR >or= 45 mL/min/1.73 m(2) using the MDRD Study equation. Reclassified individuals were predominantly women with a favorable cardiovascular risk profile. The proportion of reclassified individuals with a Framingham-predicted 10-year cardiovascular risk >or= 30% was 7.2% compared with 7.9% of the group with no CKD according to both equations and 45.3% of individuals retained in stage 3a using both equations. There was no evidence of increased all-cause mortality in the reclassified group (age- and sex-adjusted hazard ratio vs no CKD, 1.01; 95% CI, 0.62-1.97). Using the MDRD Study equation, the prevalence of CKD in the Australian population aged >or= 25 years was 13.4% (95% CI, 11.1-16.1). Using the CKD-EPI equation, the prevalence was 11.5% (95% CI, 9.42-14.1). LIMITATIONS Single measurements of serum creatinine and urinary markers. CONCLUSIONS The lower estimated prevalence of CKD using the CKD-EPI equation is caused by reclassification of low-risk individuals.


Nephrology | 2011

Attenuation of aortic calcification with lanthanum carbonate versus calcium-based phosphate binders in haemodialysis: A pilot randomized controlled trial

Nigel David Toussaint; Kenneth K. Lau; Kevan R. Polkinghorne; Peter G. Kerr

Background:  Vascular calcification (VC) contributes to cardiovascular disease in haemodialysis (HD) patients. Few controlled studies have addressed interventions to reduce VC but non‐calcium‐based phosphate binders may be beneficial. No published randomized study to date has assessed the effect of lanthanum carbonate (LC) on VC progression.


Nephrology Dialysis Transplantation | 2009

Alcohol consumption and 5-year onset of chronic kidney disease: the AusDiab study

Sarah L. White; Kevan R. Polkinghorne; Alan Cass; Jonathan E. Shaw; Robert C. Atkins; Steven J. Chadban

BACKGROUND Excessive alcohol consumption is a risk factor for hypertension and stroke; however, evidence for an association with chronic kidney disease is conflicting. METHODS A total of 6259 adults >or=25 years of age, without a history of alcohol dependence, participating in baseline (1999-2000) and follow-up (2004-2005) phases of an Australian population-representative study (AusDiab) were the subject of this analysis. Alcohol consumption status and volume/frequency were collected by standardized interviewer administered questionnaires and self-administered food frequency questionnaires. The outcomes were as follows: (i) 5-year decline in estimated glomerular filtration rate (eGFR) >or=10%, with baseline eGFR >or= 60 and final eGFR <60 mL/min/1.73 m(2), and (ii) 5-year doubling of albumin to creatinine ratio (ACR) with final ACR >or= 2.5 (males)/>or= 3.5 (females) mg/mmol, in the absence of albuminuria at baseline. RESULTS Self-identification as a moderate or heavy, versus light, drinker was associated with elevated risk of albuminuria in males and females <65 years of age (OR, 95% CI: males 1.87, 0.99-3.52; females 2.38, 1.37-4.14). Odds of de novo eGFR <60 mL/min/1.73 m(2) were 0.34 (95% CI 0.22-0.59) and 0.68 (95% CI 0.36-1.27) in males and females, respectively, who were moderate-heavy drinkers. Alcohol intake of >or=30 g/day was associated with an increased risk of albuminuria after adjustment for age, sex and baseline kidney function (OR = 1.59, 95% CI 1.07-2.36), but a reduced risk of eGFR <60 mL/min/1.73 m(2) (OR = 0.59, 95% CI 0.37-0.95), compared with consumption of <10 g/day. CONCLUSIONS Moderate-heavy alcohol consumption may be an important modifiable risk factor for albuminuria in the general population. The natural history of alcohol-induced kidney damage and how this relates to markers of kidney function in the general population warrant further research.

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David W. Johnson

Princess Alexandra Hospital

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Steven J. Chadban

Royal Prince Alfred Hospital

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Jonathan C. Craig

Children's Hospital at Westmead

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Martin Gallagher

The George Institute for Global Health

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Jonathan E. Shaw

Baker IDI Heart and Diabetes Institute

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