The French Chronic Kidney Disease-Renal Epidemiology and Information Network (CKD-REIN) cohort study

Bénédicte Stengel, Christian Combe, Christian Jacquelinet, Serge Briançon, Denis Fouque, Maurice Laville, Luc Frimat, Christophe Pascal, Yves-Edouard Herpe, Jean-François Deleuze, Joost Schanstra, Ron L Pisoni, Bruce M Robinson, Ziad A Massy, Bénédicte Stengel, Christian Combe, Christian Jacquelinet, Serge Briançon, Denis Fouque, Maurice Laville, Luc Frimat, Christophe Pascal, Yves-Edouard Herpe, Jean-François Deleuze, Joost Schanstra, Ron L Pisoni, Bruce M Robinson, Ziad A Massy

Abstract

Background: While much has been learned about the epidemiology and treatment of end-stage renal disease (ESRD) in the last 30 years, chronic kidney disease (CKD) before the end-stage has been less investigated. Not enough is known about factors associated with CKD progression and complications, as well as its transition to ESRD. We designed the CKD-renal epidemiology and information network (REIN) cohort to provide a research platform to address these key questions and to assess clinical practices and costs in patients with moderate or advanced CKD.

Methods: A total of 46 clinic sites and 4 renal care networks participate in the cohort. A stratified selection of clinic sites yields a sample that represents a diversity of settings, e.g. geographic region, and public versus for-profit and non-for-profit private clinics. In each site, 60-90 patients with CKD are enrolled at a routine clinic visit during a 12-month enrolment phase: 3600 total, including 1800 with Stage 3 and 1800 with Stage 4 CKD. Follow-up will continue for 5 years, including after initiation of renal replacement therapy. Data will be collected from medical records at inclusion and at yearly intervals, as well as from self-administered patient questionnaires and provider-level questionnaires. Patients will also be interviewed at baseline, and at 1, 3 and 5 years. Healthcare costs will also be determined. Blood and urine samples will be collected and stored for future studies on all patients at enrolment and at study end, and at 1 and 3 years in a subsample of 1200.

Conclusions: The CKD-REIN cohort will serve to improve our understanding of the biological, clinical and healthcare system determinants associated with CKD progression and adverse outcomes as well as of international variations in collaboration with the CKD Outcome and Practice Pattern Study (CKDopps). It will foster CKD epidemiology and outcomes research and provide evidence to improve the health and quality of life of patients with CKD and the performances of the healthcare system in this field.

Keywords: biomarkers; chronic kidney disease; clinical practice; cohort; quality of life.

© The Author 2013. Published by Oxford University Press on behalf of ERA-EDTA.

References

    1. Levey AS, de Jong PE, Coresh J, et al. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report. Kidney Int. 2011;80:17–28. .
    1. Hallan SI, Coresh J, Astor BC, et al. International comparison of the relationship of chronic kidney disease prevalence and ESRD risk. J Am Soc Nephrol. 2006;17:2275–2284. .
    1. Coresh J, Selvin E, Stevens LA, et al. Prevalence of chronic kidney disease in the United States. JAMA. 2007;298:2038–2047. .
    1. Stengel B, Metzger M, Froissart M, et al. Epidemiology and prognostic significance of chronic kidney disease in the elderly—the Three-City prospective cohort study. Nephrol Dial Transplant. 2011;26:3286–3295. .
    1. Go AS, Chertow GM, Fan D, et al. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med. 2004;351:1296–1305. .
    1. Hemmelgarn BR, Manns BJ, Lloyd A, et al. Relation between kidney function, proteinuria, and adverse outcomes. JAMA. 2010;303:423–429. .
    1. Matsushita K, van der Velde M, Astor BC, et al. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet. 2010;375:2073–2081. .
    1. Kramer A, Stel V, Zoccali C, et al. An update on renal replacement therapy in Europe: ERA-EDTA registry data from 1997 to 2006. Nephrol Dial Transplant. 2009;24:3557–3566. .
    1. Goodkin DA, Bragg-Gresham JL, Koenig KG, et al. Association of comorbid conditions and mortality in hemodialysis patients in Europe, Japan, and the United States: the Dialysis Outcomes and Practice Patterns Study (DOPPS) J Am Soc Nephrol. 2003;14:3270–3277. .
    1. Vanholder R, Davenport A, Hannedouche T, et al. Reimbursement of dialysis: a comparison of seven countries. J Am Soc Nephrol. 2012;23:1291–1298. .
    1. Briancon S, Stengel B, Lassalle M. 2010 end-stage renal disease incidence in France. Nephrol Ther. 2012;8(Suppl. 1):S21–S37. .
    1. Lassalle M, Labeeuw M, Frimat L, et al. Age and comorbidity may explain the paradoxical association of an early dialysis start with poor survival. Kidney Int. 2010;77:700–707. .
    1. Clase CM, Kiberd BA, Garg AX. Relationship between glomerular filtration rate and the prevalence of metabolic abnormalities: results from the Third National Health and Nutrition Examination Survey (NHANES III) Nephron Clin Pract. 2007;105:c178–c184. .
    1. Moranne O, Froissart M, Rossert J, et al. Timing of onset of CKD-related metabolic complications. J Am Soc Nephrol. 2009;20:164–171. .
    1. Barreto DV, Barreto FC, Liabeuf S, et al. Vitamin D affects survival independently of vascular calcification in chronic kidney disease. Clin J Am Soc Nephrol. 2009;4:1128–1135. .
    1. Massy ZA, Barreto DV, Barreto FC, et al. Uraemic toxins for consideration by the cardiologist-beyond traditional and non-traditional cardiovascular risk factors. Atherosclerosis. 2010;211:381–383. .
    1. Briet M, Collin C, Karras A, et al. Arterial remodeling associates with CKD progression. J Am Soc Nephrol. 2011;22:967–974. .
    1. Hsu CY, Ordonez JD, Chertow GM, et al. The risk of acute renal failure in patients with chronic kidney disease. Kidney Int. 2008;74:101–107. .
    1. Fried LF, Katz R, Sarnak MJ, et al. Kidney function as a predictor of noncardiovascular mortality. J Am Soc Nephrol. 2005;16:3728–3735. .
    1. Fried LF, Biggs ML, Shlipak MG, et al. Association of kidney function with incident hip fracture in older adults. J Am Soc Nephrol. 2007;18:282–286. .
    1. Stengel B. Chronic kidney disease and cancer: a troubling connection. J Nephrol. 2010;23:253–262.
    1. Etgen T, Chonchol M, Forstl H, et al. Chronic kidney disease and cognitive impairment: a systematic review and meta-analysis. Am J Nephrol. 2012;35:474–482. .
    1. Plantinga L, Lee K, Inker LA, et al. Association of sleep-related problems with CKD in the United States, 2005–2008. Am J Kidney Dis. 2011;58:554–564. .
    1. Fink JC, Brown J, Hsu VD, et al. CKD as an underrecognized threat to patient safety. Am J Kidney Dis. 2009;53:681–688. .
    1. Breton G, Froissart M, Janus N, et al. Inappropriate drug use and mortality in community-dwelling elderly with impaired kidney function—the Three-City population-based study. Nephrol Dial Transplant. 2011;26:2852–2859. .
    1. Plantinga LC, Fink NE, Bass EB, et al. Preferences for current health and their association with outcomes in patients with kidney disease. Med Care. 2007;45:230–237. .
    1. Untas A, Thumma J, Rascle N, et al. The associations of social support and other psychosocial factors with mortality and quality of life in the Dialysis Outcomes and Practice Patterns Study. Clin J Am Soc Nephrol. 2011;6:142–152.
    1. Mapes DL, Lopes AA, Satayathum S, et al. Health-related quality of life as a predictor of mortality and hospitalization: the Dialysis Outcomes and Practice Patterns Study (DOPPS) Kidney Int. 2003;64:339–349. .
    1. Kovac JA, Patel SS, Peterson RA, et al. Patient satisfaction with care and behavioral compliance in end-stage renal disease patients treated with hemodialysis. Am J Kidney Dis. 2002;39:1236–1244. .
    1. Boini S, Frimat L, Kessler M, et al. Predialysis therapeutic care and health-related quality of life at dialysis onset (The pharmacoepidemiologic AVENIR study) Health Qual Life Outcomes. 2011;9:7.
    1. Finkelstein FO, Story K, Firanek C, et al. Perceived knowledge among patients cared for by nephrologists about chronic kidney disease and end-stage renal disease therapies. Kidney Int. 2008;74:1178–1184. .
    1. Kronenberg F. Emerging risk factors and markers of chronic kidney disease progression. Nat Rev Nephrol. 2009;5:677–689. .
    1. Matsushita K, Ballew SH, Astor BC, et al. Cohort profile: the Chronic Kidney Disease Prognosis Consortium. Int J Epidemiol. 2012 [Epub ahead of print]
    1. Feldman HI, Appel LJ, Chertow GM, et al. The Chronic Renal Insufficiency Cohort (CRIC) study: design and methods. J Am Soc Nephrol. 2003;14:S148–S153. .
    1. Eckardt KU, Barthlein B, Baid-Agrawal S, et al. The German Chronic Kidney Disease (GCKD) study: design and methods. Nephrol Dial Transplant. 2012;27:1454–1460. .
    1. Imai E, Matsuo S, Makino H, et al. Chronic Kidney Disease Japan Cohort (CKD-JAC) study: design and methods. Hypertens Res. 2008;31:1101–1107. .
    1. Kleophas W, Bieber B, Robinson BM, et al. Implementation and first results of a German Chronic Kidney Disease Registry. Clin Nephrol. 2013;79:184–191.
    1. Rognant N, Alamartine E, Aldigier JC, et al. Impact of prior CKD management in a renal care network on early outcomes in incident dialysis patients: a prospective observational study. BMC Nephrol. 2013;14:41. .
    1. Zins M, Bonenfant S, Carton M, et al. The CONSTANCES cohort: an open epidemiological laboratory. BMC Public Health. 2010;10:479. .
    1. Kohout FJ, Berkman LF, Evans DA, et al. Two shorter forms of the CES-D (Center for Epidemiological Studies Depression) depression symptoms index. J Aging Health. 1993;5:179–193. .
    1. Katz S, Downs TD, Cash HR, et al. Progress in development of the index of ADL. Gerontologist. 1970;10:20–30. .
    1. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9:179–186. .
    1. Untas A, Rascle N, Cosnefroy O, et al. Psychometric properties of the French adaptation of the Family Relationship Index (FRI) Encephale. 2011;37:110–118. .
    1. Boini S, Leplege A, Loos Ayav C, et al. Measuring quality of life in end-stage renal disease. Transcultural adaptation and validation of the specific kidney disease quality of life questionnaire. Nephrol Ther. 2007;3:372–383. .
    1. Pisoni RL, Gillespie BW, Dickinson DM, et al. The Dialysis Outcomes and Practice Patterns Study (DOPPS): design, data elements, and methodology. Am J Kidney Dis. 2004;44:7–15. .
    1. Pisoni RL, Arrington CJ, Albert JM, et al. Facility hemodialysis vascular access use and mortality in countries participating in DOPPS: an instrumental variable analysis. Am J Kidney Dis. 2009;53:475–491. .
    1. Keith DS, Nichols GA, Gullion CM, et al. Longitudinal follow-up and outcomes among a population with chronic kidney disease in a large managed care organization. Arch Intern Med. 2004;164:659–663. .
    1. Evans M, Fryzek JP, Elinder CG, et al. The natural history of chronic renal failure: results from an unselected, population-based, inception cohort in Sweden. Am J Kidney Dis. 2005;46:863–870. .
    1. Couchoud C, Stengel B, Landais P, et al. The renal epidemiology and information network (REIN): a new registry for end-stage renal disease in France. Nephrol Dial Transplant. 2006;21:411–418. .
    1. Thorsteinsdottir B, Swetz KM, Feely MA, et al. Are there alternatives to hemodialysis for the elderly patient with end-stage renal failure? Mayo Clin Proc. 2012;87:514–516. .

Source: PubMed

3
Se inscrever