Measures of chronic kidney disease and risk of incident peripheral artery disease: a collaborative meta-analysis of individual participant data

Kunihiro Matsushita(Johns Hopkins University), Shoshana H. Ballew(Johns Hopkins University), Josef Coresh(Johns Hopkins University), Hisatomi Arima(Fukuoka University), Johan Ärnlöv(Dalarna University), Massimo Círillo(University of Salerno), Natalie Ebert(Charité - Universitätsmedizin Berlin), Jade S. Hiramoto(University of California, San Francisco), Heejin Kimm(Yonsei University), Michael G. Shlipak(University of California, San Francisco), Frank L.J. Visseren(University Medical Center Utrecht), Ron T. Gansevoort(University Medical Center Groningen), Csaba P. Kövesdy(University of Tennessee Health Science Center), Varda Shalev(Tel Aviv University), Mark Woodward(University of Sydney), Florian Kronenberg(Universität Innsbruck), John Chalmers, Hisatomi Arima(Fukuoka University), Vlado Perkovic, Morgan E. Grams, Yingying Sang, Elke Schäeffner, Peter Martus, Adeera Levin, Ognjenka Djurdjev, Mila Tang, Gunnar H. Heine, Sarah Seiler, Adam M. Zawada, Insa E. Emrich, Mark J. Sarnak(University of Sydney), Ronit Katz, Hermann Brenner, Ben Schöttker, Dietrich Rothenbacher, Kai‐Uwe Saum, Anna Köttgen, Markus P. Schneider, Kai‐Uwe Eckardt, Jamie Green, H. Lester Kirchner, Alex R. Chang, Corri Black, Angharad Marks, Gordon Prescott, Laura Clark, Nick Fluck, Sun Ha Jee, Yejin Mok, Gabriel Chodick, Varda Shalev(Tel Aviv University), Jack F.M. Wetzels, Peter J. Blankestijn, Arjan D. van Zuilen, Michiel L. Bots, Carmen Peralta, Jade Hiromoto(University of California, San Francisco), Ronit Katz, Mark J. Sarnak(Johns Hopkins University), Erwin Böttinger, Girish N. Nadkarni, Stephen B. Ellis, Rajiv Nadukuru, Timothy Kenealy, C. Raina Elley, John Collins, Paul Drury, Stephan J. L. Bakker, Hiddo J.L. Heerspink, Simerjot K Jassal, Jaclyn Bergstrom, Joachim H. Ix, Elizabeth Barrett‐Connor, Kamyar Kalantar‐Zadeh, Juan Jesús Carrero, Alessandro Gasparini, Abdul Rashid Qureshi, Peter Bárány, Ale Algra(Maccabi Institute for Health Services Research), Yolanda van der Graaf, Marie Evans, Mårten Segelmark, Maria Stendahl, Staffan Schön, Navdeep Tangri, Maneesh Sud, David Naimark, Lars Lannfelt, Anders Larsson, Stein Hallan, Andrew S. Levey, Jingsha Chen, Lucia Kwak, Morgan E. Grams, Yingying Sang
The Lancet Diabetes & Endocrinology
July 15, 2017
Cited by 166Open Access
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Abstract

Background Some evidence suggests that chronic kidney disease is a risk factor for lower-extremity peripheral artery disease. We aimed to quantify the independent and joint associations of two measures of chronic kidney disease (estimated glomerular filtration rate [eGFR] and albuminuria) with the incidence of peripheral artery disease. Methods In this collaborative meta-analysis of international cohorts included in the Chronic Kidney Disease Prognosis Consortium (baseline measurements obtained between 1972 and 2014) with baseline measurements of eGFR and albuminuria, at least 1000 participants (this criterion not applied to cohorts exclusively enrolling patients with chronic kidney disease), and at least 50 peripheral artery disease events, we analysed adult participants without peripheral artery disease at baseline at the individual patient level with Cox proportional hazards models to quantify associations of creatinine-based eGFR, urine albumin-to-creatinine ratio (ACR), and dipstick proteinuria with the incidence of peripheral artery disease (including hospitalisation with a diagnosis of peripheral artery disease, intermittent claudication, leg revascularisation, and leg amputation). We assessed discrimination improvement through c-statistics. Findings We analysed 817 084 individuals without a history of peripheral artery disease at baseline from 21 cohorts. 18 261 cases of peripheral artery disease were recorded during follow-up across cohorts (median follow-up was 7·4 years [IQR 5·7–8·9], range 2·0–15·8 years across cohorts). Both chronic kidney disease measures were independently associated with the incidence of peripheral artery disease. Compared with an eGFR of 95 mL/min per 1·73 m2, adjusted hazard ratios (HRs) for incident study-specific peripheral artery disease was 1·22 (95% CI 1·14–1·30) at an eGFR of 45 mL/min per 1·73 m2 and 2·06 (1·70–2·48) at an eGFR of 15 mL/min per 1·73 m2. Compared with an ACR of 5 mg/g, the adjusted HR for incident study-specific peripheral artery disease was 1·50 (1·41–1·59) at an ACR of 30 mg/g and 2·28 (2·12–2·44) at an ACR of 300 mg/g. The adjusted HR at an ACR of 300 mg/g versus 5 mg/g was 3·68 (95% CI 3·00–4·52) for leg amputation. eGFR and albuminuria contributed multiplicatively (eg, adjusted HR 5·76 [4·90–6·77] for incident peripheral artery disease and 10·61 [5·70–19·77] for amputation in eGFR <30 mL/min per 1·73 m2 plus ACR ≥300 mg/g or dipstick proteinuria 2+ or higher vs eGFR ≥90 mL/min per 1·73 m2 plus ACR <10 mg/g or dipstick proteinuria negative). Both eGFR and ACR significantly improved peripheral artery disease risk discrimination beyond traditional predictors, with a substantial improvement prediction of amputation with ACR (difference in c-statistic 0·058, 95% CI 0·045–0·070). Patterns were consistent across clinical subgroups. Interpretation Even mild-to-moderate chronic kidney disease conferred increased risk of incident peripheral artery disease, with a strong association between albuminuria and amputation. Clinical attention should be paid to the development of peripheral artery disease symptoms and signs in people with any stage of chronic kidney disease. Funding American Heart Association, US National Kidney Foundation, and US National Institute of Diabetes and Digestive and Kidney Diseases.


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