Cohort Profile: The Chronic Kidney Disease Prognosis Consortium

Published on Dec 1, 2013in International Journal of Epidemiology7.196
路 DOI :10.1093/IJE/DYS173
Kunihiro Matsushita68
Estimated H-index: 68
(Johns Hopkins University),
Shoshana H. Ballew38
Estimated H-index: 38
(Johns Hopkins University)
+ 8 AuthorsJosef Coresh173
Estimated H-index: 173
(Johns Hopkins University)
Sources
Abstract
The Chronic Kidney Disease Prognosis Consortium (CKD-PC) was established in 2009 to provide comprehensive evidence about the prognostic impact of two key kidney measures that are used to define and stage CKD, estimated glomerular filtration rate (eGFR) and albuminuria, on mortality and kidney outcomes. CKD-PC currently consists of 46 cohorts with data on these kidney measures and outcomes from >2 million participants spanning across 40 countries/regions all over the world. CKD-PC published four meta-analysis articles in 2010-11, providing key evidence for an international consensus on the definition and staging of CKD and an update for CKD clinical practice guidelines. The consortium continues to work on more detailed analysis (subgroups, different eGFR equations, other exposures and outcomes, and risk prediction). CKD-PC preferably collects individual participant data but also applies a novel distributed analysis model, in which each cohort runs statistical analysis locally and shares only analysed outputs for meta-analyses. This distributed model allows inclusion of cohorts which cannot share individual participant level data. According to agreement with cohorts, CKD-PC will not share data with third parties, but is open to including further eligible cohorts. Each cohort can opt in/out for each topic. CKD-PC has established a productive and effective collaboration, allowing flexible participation and complex meta-analyses for studying CKD.
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Summary Background Chronic kidney disease is characterised by low estimated glomerular filtration rate (eGFR) and high albuminuria, and is associated with adverse outcomes. Whether these risks are modified by diabetes is unknown. Methods We did a meta-analysis of studies selected according to Chronic Kidney Disease Prognosis Consortium criteria. Data transfer and analyses were done between March, 2011, and June, 2012. We used Cox proportional hazards models to estimate the hazard ratios (HR) of ...
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#1Kunihiro Matsushita (Johns Hopkins University)H-Index: 68
#2Bakhtawar K. Mahmoodi (Johns Hopkins University)H-Index: 17
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2) was reducedfrom8.7%to6.3%.InestimatedGFRof45to59mL/min/1.73m 2 bytheMDRD Study equation, 34.7% of participants were reclassified to estimated GFR of 60 to 89 mL/min/1.73m 2 bytheCKD-EPIequationandhadlowerincidencerates(per1000personyears) 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 m...
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#1Andrew S. Levey (Tufts Medical Center)H-Index: 165
#2Paul E. de Jong (UMCG: University Medical Center Groningen)H-Index: 88
Last. Kai-Uwe Eckardt (FAU: University of Erlangen-Nuremberg)H-Index: 105
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The definition and classification for chronic kidney disease was proposed by the National Kidney Foundation Kidney Disease Outcomes Quality Initiative (NKF-KDOQI) in 2002 and endorsed by the Kidney Disease: Improving Global Outcomes (KDIGO) in 2004. This framework promoted increased attention to chronic kidney disease in clinical practice, research and public health, but has also generated debate. It was the position of KDIGO and KDOQI that the definition and classification should reflect patien...
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#1Ron T. Gansevoort (UMCG: University Medical Center Groningen)H-Index: 104
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Both a low estimated glomerular filtration rate (eGFR) and albuminuria are known risk factors for end-stage renal disease (ESRD). To determine their joint contribution to ESRD and other kidney outcomes, we performed a meta-analysis of nine general population cohorts with 845,125 participants and an additional eight cohorts with 173,892 patients, the latter selected because of their high risk for chronic kidney disease (CKD). In the general population, the risk for ESRD was unrelated to eGFR at v...
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#1Brad C. Astor (Johns Hopkins University)H-Index: 85
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We studied here the independent associations of estimated glomerular filtration rate (eGFR) and albuminuria with mortality and end-stage renal disease (ESRD) in individuals with chronic kidney disease (CKD). We performed a collaborative meta-analysis of 13 studies totaling 21,688 patients selected for CKD of diverse etiology. After adjustment for potential confounders and albuminuria, we found that a 15ml/min per 1.73m 2 lower eGFR below a threshold of 45ml/min per 1.73m 2 was significantly asso...
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#1Marije van der Velde (UMCG: University Medical Center Groningen)H-Index: 11
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Screening for chronic kidney disease is recommended in people at high risk, but data on the independent and combined associations of estimated glomerular filtration rate (eGFR) and albuminuria with all-cause and cardiovascular mortality are limited. To clarify this, we performed a collaborative meta-analysis of 10 cohorts with 266,975 patients selected because of increased risk for chronic kidney disease, defined as a history of hypertension, diabetes, or cardiovascular disease. Risk for all-cau...
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#1Kunihiro Matsushita (Johns Hopkins University)H-Index: 68
#2Marije van der Velde (UG: University of Groningen)H-Index: 11
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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 base...
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#1Andrew S. Levey (Tufts University)H-Index: 165
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Background Equations to estimate glomerular filtration rate (GFR) are routinely used to assess kidney function. Current equations have limited precision and systematically underestimate measured GFR at higher levels.
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#2Tongguang Cheng (Johns Hopkins University)H-Index: 150
Summary Background Both end-stage renal disease and chronic kidney disease are increasing worldwide; however, the full effect of chronic kidney disease is unknown because mortality risks for all five stages are unavailable. We assessed prevalence and mortality risks for all stages of chronic kidney disease and quantified its attributable mortality in Taiwan. Methods The cohort consisted of 462鈥293 individuals aged older than 20 years who participated in a standard medical screening programme sin...
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#5Andre P Kengne (South African Medical Research Council)H-Index: 6
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