CKD Epidemiology
By:
Holly J. Kramer Department of Public Health, Parkinson School of Health Sciences and Public Health and Department of Medicine, Division of Nephrology and Hypertension, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois

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Sankar D. Navaneethan Selzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, Texas Section of Nephrology, and Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas

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  • 1.

    Centers for Disease Control and Prevention: Chronic Kidney Disease Surveillance System website. https://nccd.cdc.gov/ckd/. Accessed January 2, 2019

  • 2.

    Centers for Disease control: National Center for Health Statistics. US mortality data. https://www.cdc.gov/nchs/nvss/deaths.htmhttps://www.cdc.gov/nchs/nvss/deaths.htm. Accessed January 2, 2019

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  • 3.

    Murphy D, McCulloch CE, Lin F, Banerjee T, Bragg-Gresham JL, Eberhardt MS, et al.; Centers for Disease Control and Prevention Chronic Kidney Disease Surveillance Team: Trends in prevalence of chronic kidney disease in the United States. Ann Intern Med 165: 473481, 2016 . PubMed ID: 27479614

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  • 4.

    Bowe B, Xie Y, Li T, Mokdad AH, Xian H, Yan Y, et al.: Changes in the US burden of chronic kidney disease from 2002 to 2016: An analysis of the global burden of disease study. JAMA Netw Open 1: e184412, 2018 PubMed

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    • Search Google Scholar
    • Export Citation
  • 5.

    Xie Y, Bowe B, Mokdad AH, Xian H, Yan Y, Li T, et al.: Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016. Kidney Int 94: 567581, 2018 PubMed

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  • 6.

    Thomas B, Matsushita K, Abate KH, Al-Aly Z, Ärnlöv J, Asayama K, et al.; Global Burden of Disease 2013 GFR Collaborators; CKD Prognosis Consortium; Global Burden of Disease Genitourinary Expert Group: Global cardiovascular and renal outcomes of reduced GFR. J Am Soc Nephrol 28: 21672179, 2017 PubMed

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  • 7.

    Matsushita K, Coresh J, Sang Y, Chalmers J, Fox C, Guallar E, et al.; CKD Prognosis Consortium: Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data. Lancet Diabetes Endocrinol 3: 514525, 2015 PubMed

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  • 8.

    Astor BC, Matsushita K, Gansevoort RT, van der Velde M, Woodward M, Levey AS, et al.; Chronic Kidney Disease Prognosis Consortium: Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease: A collaborative meta-analysis of kidney disease population cohorts. Kidney Int 79: 13311340, 2011 PubMed

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  • 9.

    Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, et al.; Chronic Kidney Disease Prognosis Consortium: Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: A collaborative meta-analysis. Lancet 375: 20732081, 2010 PubMed

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    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Foreman KJ, Marquez N, Dolgert A, Fukutaki K, Fullman N, McGaughey M, et al.: Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: Reference and alternative scenarios for 2016-40 for 195 countries and territories. Lancet 392: 20522090, 2018 PubMed

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    • Search Google Scholar
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  • 11.

    Misra A, Tandon N, Ebrahim S, Sattar N, Alam D, Shrivastava U, et al.: Diabetes, cardiovascular disease, and chronic kidney disease in South Asia: Current status and future directions. BMJ 357: j1420, 2017 PubMed

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    • Search Google Scholar
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  • 12.

    Albertus P, Morgenstern H, Robinson B, Saran R: Risk of ESRD in the United States. Am J Kidney Dis 68: 862872, 2016 PubMed

  • 13.

    Fischer MJ, Hsu JY, Lora CM, Ricardo AC, Anderson AH, Bazzano L, et al.; Chronic Renal Insufficiency Cohort (CRIC) Study Investigators: CKD progression and mortality among Hispanics and non-Hispanics. J Am Soc Nephrol 27: 34883497, 2016 PubMed

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    • Search Google Scholar
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  • 14.

    van den Brand JAJG, Pippias M, Stel VS, Caskey FJ, Collart F, Finne P, et al.: Lifetime risk of renal replacement therapy in Europe: A population-based study using data from the ERA-EDTA Registry. Nephrol Dial Transplant 32: 348355, 2017 PubMed

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  • 15.

    Perl J, McArthur E, Tan VS, Nash DM, Garg AX, Harel Z, et al.: ESKD among immigrants to Ontario, Canada: A population-based study. J Am Soc Nephrol 29: 19481959, 2018 PubMed

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    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Fischer RSB, Vangala C, Truong L, Mandayam S, Chavarria D, Granera Llanes OM, et al.: Early detection of acute tubulointerstitial nephritis in the genesis of mesoamerican nephropathy. Kidney Int 93: 681690, 2018 PubMed

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    • Search Google Scholar
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  • 17.

    Wijkström J, González-Quiroz M, Hernandez M, Trujillo Z, Hultenby K, Ring A, et al.: Renal morphology, clinical findings, and progression rate in mesoamerican nephropathy. Am J Kidney Dis 69: 626636, 2017 PubMed

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    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Gonzalez-Quiroz M, Smpokou ET, Silverwood RJ, Camacho A, Faber D, Garcia BR, et al.: Decline in kidney function among apparently healthy young adults at risk of mesoamerican nephropathy. J Am Soc Nephrol 29: 22002212, 2018 PubMed

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    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Tangri N, Grams ME, Levey AS, Coresh J, Appel LJ, Astor BC, et al.; CKD Prognosis Consortium: Multinational assessment of accuracy of equations for predicting risk of kidney failure: A meta-analysis. JAMA 315: 164174, 2016 PubMed

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    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Tangri N, Inker LA, Hiebert B, Wong J, Naimark D, Kent D, et al.: A dynamic predictive model for progression of CKD. Am J Kidney Dis: 69: 514520, 2017 PubMed

  • 21.

    Grams ME, Sang Y, Ballew SH, Carrero JJ, Djurdjev O, Heerspink HJL, et al.: Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int 93: 14421451, 2018 PubMed

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Calderon-Margalit R, Golan E, Twig G, Leiba A, Tzur D, Afek A, et al.: History of childhood kidney disease and risk of adult end-stage renal disease. N Engl J Med 378: 428438, 2018 PubMed

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Garofalo C, Borrelli S, Minutolo R, Chiodini P, De Nicola L, Conte G: A systematic review and meta-analysis suggests obesity predicts onset of chronic kidney disease in the general population. Kidney Int 91: 12241235, 2017 PubMed

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    • PubMed
    • Search Google Scholar
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