Advertisement
Research Article| Volume 143, P178-183, January 2021

Cystatin C-based estimated GFR and albuminuria are independently associated with all-cause and CVD mortality in Korean population: The Dong-gu Study

  • Hye-Yeon Kim
    Affiliations
    Department of Preventive Medicine, Chonnam National University Medical School, 264, Seoyang‑ro Hwasun‑eup, Hwasun, Jeollanam-do, 58128, Republic of Korea

    Gwangju-Jeonnam Regional Cardiocerebrovascular Center, Chonnam National University Hospital, 42, Jebong-ro, Dong-gu, Gwangju, 61469, Republic of Korea
    Search for articles by this author
  • Sun-Seog Kweon
    Affiliations
    Department of Preventive Medicine, Chonnam National University Medical School, 264, Seoyang‑ro Hwasun‑eup, Hwasun, Jeollanam-do, 58128, Republic of Korea
    Search for articles by this author
  • Young-Hoon Lee
    Affiliations
    Department of Preventive Medicine & Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, 460, Iksan-daero, Iksan-si, Jeollabuk-do, 54538, Republic of Korea
    Search for articles by this author
  • So-Yeon Ryu
    Affiliations
    Department of Preventive Medicine, Chosun University Medical School, 309, Pilmun-daero, Dong-gu, Gwangju, 61452, Republic of Korea
    Search for articles by this author
  • Hae-Sung Nam
    Affiliations
    Department of Preventive Medicine, Chungnam National University Medical School, 266, Munhwa-ro, Jung-gu, Daejeon, 35015, Republic of Korea
    Search for articles by this author
  • Min-Ho Shin
    Affiliations
    Department of Preventive Medicine, Chonnam National University Medical School, 264, Seoyang‑ro Hwasun‑eup, Hwasun, Jeollanam-do, 58128, Republic of Korea
    Search for articles by this author
  • Kyeong-Soo Park
    Affiliations
    Cardiocerebrovascular Center, Mokpo Jung-Ang Hospital, 623, Yeongsan-ro, Mokpo-si, Jeollanam-do, 58615, Republic of Korea
    Search for articles by this author
  • Seong-Woo Choi
    Correspondence
    Corresponding author at: Department of Preventive Medicine, Chosun University Medical School, 309, Pilmun-daero, Dong-gu, Gwangju, 61452, Republic of Korea.
    Affiliations
    Department of Preventive Medicine, Chosun University Medical School, 309, Pilmun-daero, Dong-gu, Gwangju, 61452, Republic of Korea
    Search for articles by this author

      Highlights

      • After adjusting for the covariates, including albuminura, eGFRcys was significantly associated with all-cause and cardiovascular disease mortality.
      • After adjusting for the covariates, including eGFRcys, albuminura was significantly associated with all-cause and cardiovascular disease mortality.
      • The ROC-plot AUC for all-cause mortality was greater for the eGFRcys than for the eGFRMDRD and eGFRCKD-EPI.

      Abstract

      Objective

      To assess the associations among the estimated glomerular filtration rate (eGFR), albumin to creatinine ratio (ACR), and all-cause and CVD mortality rate and to compare the performances of eGFRMDRD, eGFRCKD-EPI, and eGFRcys using receiver operating characteristic (ROC) analysis in Korean adults aged ≥ 50 years.

      Methods

      Of the 9,260 subjects who participated in the baseline survey of a prospective longitudinal study conducted in Korea, 9,009 (men: 3,574 (39.7%); women: 5,435 (60.3%)) were included in this analysis after the exclusion of 217 subjects with missing eGFR and 34 subjects with missing ACR data.

      Main outcome measure

      The associations of eGFR and ACR with all-cause and CVD mortality were investigated using Cox proportional hazards models that included sex, age, waist circumference, smoking, alcohol intake, degree of physical activity, hypertension, diabetes, systolic blood pressure, log-HbA1c, total cholesterol, log-triglyceride, log-HDL and log-ACR or eGFR.

      Results

      After adjustment for covariates, independent associations were found between all-cause mortality and the eGFRcys (mL/min per 1.73 m2) [HR 1.23, 95% confidence interval (CI) 1.05–1.43 for 60–89 vs. ≥ 90; HR 1.87, 95% CI 1.49–2.34 for 45–59 vs. ≥ 90; HR 2.38, 95% CI 1.77–3.20 for 30–44 vs. ≥ 90; HR 2.82, 95% CI 1.89–4.23 for <30 vs. ≥ 90] and ACR (μg/mg creatinine) [HR 1.09, 95% CI 0.88–1.34 for Q2 vs. Q1; HR 1.34, 95% CI 1.10–1.63 for Q3 vs. Q1; HR 1.49, 95% CI 1.22–1.81 for Q4 vs. Q1]. In addition, independent associations of CVD mortality with the eGFRcys and ACR were significant. In the comparison of eGFR performance, the ROC-plot AUC for all-cause mortality was significantly greater for the eGFRcys than for the eGFRMDRD and eGFRCKD-EPI.

      Conclusion

      The eGFRcys and ACR were associated independently with all-cause and CVD mortality after adjustment for covariates, including the eGFRcys and ACR. In addition, the ROC-plot AUC for all-cause mortality was greater for the eGFRcys than for the eGFRMDRD and eGFRCKD-EPI in Korean adults aged ≥ 50 years.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Maturitas
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Hill N.R.
        • Fatoba S.T.
        • Oke J.L.
        • Hirst J.A.
        • O’Callaghan C.A.
        • Lasserson D.S.
        • Hobbs F.D.R.
        Global prevalence of chronic kidney disease - a systematic review and meta-analysis.
        PLoS ONE. 2016; 11e0158765https://doi.org/10.1371/journal.pone.0158765
        • GBD
        2015 DALYs and HALE Collaborators, Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.
        Lancet. 2016; 388: 1603-1658https://doi.org/10.1016/S0140-6736(15)61340-X
        • Kidney Disease: Improving Global Outcomes (KDIGO) CKD-MBD Update Work Group
        KDIGO 2017 clinical practice guideline update for the diagnosis, evaluation, prevention, and treatment of chronic kidney disease-mineral and bone disorder (CKD-MBD).
        Kidney Int. Suppl. 2011; 7 (2017): 1-59https://doi.org/10.1016/j.kisu.2017.04.001
        • Sarnak Mark J.
        • Levey Andrew S.
        • Schoolwerth Anton C.
        • Coresh J.
        • Culleton B.
        • Hamm L.L.
        • McCullough Peter A.
        • Kasiske Bertram L.
        • Kelepouris E.
        • Klag Michael J.
        • Parfrey P.
        • Pfeffer M.
        • Raij L.
        • Spinosa David J.
        • Wilson Peter W.
        Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American heart association councils on kidney in cardiovascular disease, high blood pressure research, clinical cardiology, and epidemiology and prevention.
        Circulation. 2003; 108: 2154-2169https://doi.org/10.1161/01.CIR.0000095676.90936.80
        • Jager A.
        • Kostense P.J.
        • Ruhé H.G.
        • Heine R.J.
        • Nijpels G.
        • Dekker J.M.
        • Bouter L.M.
        • Stehouwer C.D.
        Microalbuminuria and peripheral arterial disease are independent predictors of cardiovascular and all-cause mortality, especially among hypertensive subjects: five-year follow-up of the Hoorn Study.
        Arterioscler. Thromb. Vasc. Biol. 1999; 19: 617-624https://doi.org/10.1161/01.ATV.19.3.617
        • Astor B.C.
        • Hallan S.I.
        • Miller E.R.
        • Yeung E.
        • Coresh J.
        Glomerular filtration rate, albuminuria, and risk of cardiovascular and all-cause mortality in the US population.
        Am. J. Epidemiol. 2008; 167: 1226-1234https://doi.org/10.1093/aje/kwn033
        • Wang J.
        • Wang F.
        • Liu S.
        • Zhou M.
        • Zhang L.
        • Zhao M.
        Reduced kidney function, albuminuria, and risks for all-cause and cardiovascular mortality in China: a population-based cohort study.
        BMC Nephrol. 2017; 18: 188https://doi.org/10.1186/s12882-017-0603-9
        • Zonoozi S.
        • Ramsay S.E.
        • Papacosta O.
        • Lennon L.T.
        • Ellins E.A.
        • Halcox J.P.J.
        • Whincup P.
        • Wannamethee S.G.
        Chronic kidney disease, cardiovascular risk markers and total mortality in older men: cystatin C versus creatinine.
        J. Epidemiol. Community Health. 2019; 73: 645-651https://doi.org/10.1136/jech-2018-211719
        • Chronic Kidney Disease Prognosis Consortium
        • Matsushita K.
        • van der Velde M.
        • Astor B.C.
        • Woodward M.
        • Levey A.S.
        • de Jong P.E.
        • Coresh J.
        • Gansevoort R.T.
        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: 2073-2081https://doi.org/10.1016/S0140-6736(10)60674-60675
        • Cox H.J.
        • Bhandari S.
        • Rigby A.S.
        • Kilpatrick E.S.
        Mortality at low and high estimated glomerular filtration rate values: a’ U’ shaped curve.
        Nephron. Clin. Pract. 2008; 110: c67-c72
        • Waheed S.
        • Matsushita K.
        • Sang Y.
        • Hoogeveen R.
        • Ballantyne C.
        • Coresh J.
        • Astor B.C.
        Combined association of albuminuria and cystatin C-based estimated GFR with mortality, coronary heart disease, and heart failure outcomes: the Atherosclerosis Risk in Communities (ARIC) Study.
        Am. J. Kidney Dis. 2012; 60: 207-216https://doi.org/10.1053/j.ajkd.2012.03.011
        • Levey A.S.
        • Bosch J.P.
        • Lewis J.B.
        • Greene T.
        • Rogers N.
        • Roth D.
        A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation.
        Modification of Diet in Renal Disease Study Group, Ann. Intern. Med. 1999; 130: 461-470https://doi.org/10.7326/0003-4819-130-6-199903160-00002
        • Levey A.S.
        • Stevens L.A.
        • Schmid C.H.
        • Zhang Y.L.
        • Castro A.F.
        • Feldman H.I.
        • Kusek J.W.
        • Eggers P.
        • Van Lente F.
        • Greene T.
        • Coresh J.
        • Ckd E.P.I.
        A new equation to estimate glomerular filtration rate.
        Ann. Intern. Med. 2009; 150: 604-612https://doi.org/10.7326/0003-4819-150-9-200905050-00006
        • Inker L.A.
        • Schmid C.H.
        • Tighiouart H.
        • Eckfeldt J.H.
        • Feldman H.I.
        • Greene T.
        • Kusek J.W.
        • Manzi J.
        • Van Lente F.
        • Zhang Y.L.
        • Coresh J.
        • Levey A.S.
        Estimating glomerular filtration rate from serum creatinine and cystatin C.
        N. Engl. J. Med. 2012; 367: 20-29https://doi.org/10.1056/NEJMoa1114248
        • Kweon S.S.
        • Shin M.H.
        • Jeong S.K.
        • Nam H.S.
        • Lee Y.H.
        • Park K.S.
        • Ryu S.Y.
        • Choi S.W.
        • Kim B.H.
        • Rhee J.A.
        • Zheng W.
        • Choi J.S.
        Cohort Profile: The Namwon Study and the Dong-gu Study.
        Int. J. Epidemiol. 2014; 43: 558-567https://doi.org/10.1093/ije/dys244
        • Lustgarten J.A.
        • Wenk R.E.
        Simple, rapid, kinetic method for serum creatinine measurement.
        Clin. Chem. 1972; 18: 1419-1422
        • Muntner P.
        • Bowling C.B.
        • Gao L.
        • Rizk D.
        • Judd S.
        • Tanner R.M.
        • McClellan W.
        • Warnock D.G.
        Age-specific association of reduced estimated glomerular filtration rate and albuminuria with all-cause mortality.
        Clin. J. Am. Soc. Nephrol. 2011; 6: 2200-2207https://doi.org/10.2215/CJN.02030311
        • Kurth T.
        • de Jong P.E.
        • Cook N.R.
        • Buring J.E.
        • Ridker P.M.
        Kidney function and risk of cardiovascular disease and mortality in women: a prospective cohort study.
        BMJ. 2009; 339: b2769https://doi.org/10.1136/bmj.b2769
        • Astor B.C.
        • Levey A.S.
        • Stevens L.A.
        • Lente F.V.
        • Selvin E.
        • Coresh J.
        Method of glomerular filtration rate estimation affects prediction of mortality risk.
        J. Am. Soc. Nephrol. 2009; 20: 2214-2222https://doi.org/10.1681/ASN.2008090980
        • Levey A.S.
        • Coresh J.
        • Bolton K.
        • Culleton B.
        • Harvey K.S.
        • Ikizler T.A.
        • Johnson C.A.
        • Kausz A.
        • Kimmel P.L.
        • Kusek J.
        • Levin A.
        • Minaker K.L.
        • Nelson R.
        • Rennke H.
        • Steffes M.
        • Witten B.
        • Hogg R.J.
        • Furth S.
        • Lemley K.V.
        • Portman R.J.
        • Schwartz G.
        • Lau J.
        • Balk E.
        • Perrone R.D.
        • Karim T.
        • Rayan L.
        • Al-Massry I.
        • Chew P.
        • Astor B.C.
        • Vine D.D.
        • Eknoyan G.
        • Levin N.
        • Burrows-Hudson S.
        • Keane W.
        • Kliger A.
        • Latos D.
        • Mapes D.
        • Oberley E.
        • Willis K.
        • Bailie G.
        • Becker G.
        • Burrowes J.
        • Churchill D.
        • Collins A.
        • Couser W.
        • DeZeeuw D.
        • Garber A.
        • Golper T.
        • Gotch F.
        • Gotto A.
        • Greer J.W.
        • Grimm R.
        • Hannah R.G.
        • Acosta J.H.
        • Hogg R.
        • Hunsicker L.
        • Klag M.J.
        • Klahr S.
        • Lewis C.
        • Lowrie E.
        • Matas A.
        • McCulloch S.
        • Michael M.
        • Nally J.V.
        • Newmann J.M.
        • Nissenson A.
        • Norris K.
        • Owen W.
        • Patel T.G.
        • Payne G.
        • Rivera-Mizzoni R.A.
        • Smith D.
        • Star R.
        • Steinman T.
        • Valderrabano F.
        • Walls J.
        • Wauters J.P.
        • Wenger N.
        • Briggs J.
        K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification.
        Am. J. Kidney Dis. 2002; 39: S1-S266
        • Astor B.C.
        • Matsushita K.
        • Gansevoort R.T.
        • van der Velde M.
        • Woodward M.
        • Levey A.S.
        • de Jong P.E.
        • Coresh J.
        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. 2011; 79: 1331-1340https://doi.org/10.1038/ki.2010.550
        • Levey A.S.
        • Jong P.E.d.
        • Coresh J.
        • Nahas M.E.l.
        • Astor B.C.
        • Matsushita K.
        • Gansevoort R.T.
        • Kasiske B.L.
        • Eckardt K.U.
        The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report.
        Kidney Int. 2011; 80: 17-28https://doi.org/10.1038/ki.2010.483
        • Fox C.S.
        • Larson M.G.
        • Leip E.P.
        • Culleton B.
        • Wilson P.W.F.
        • Levy D.
        Predictors of new-onset kidney disease in a community-based population.
        JAMA. 2004; 291: 844-850https://doi.org/10.1001/jama.291.7.844
        • Block G.A.
        • Port F.K.
        Re-evaluation of risks associated with hyperphosphatemia and hyperparathyroidism in dialysis patients: recommendations for a change in management.
        Am. J. Kidney Dis. 2000; 35: 1226-1237https://doi.org/10.1016/S0272-6386(00)70064-3
        • Stehouwer C.D.A.
        • Smulders Y.M.
        Microalbuminuria and risk for cardiovascular disease: Analysis of potential mechanisms.
        J. Am. Soc. Nephrol. 2006; 17: 2106-2111https://doi.org/10.1681/ASN.2005121288
        • Cockcroft D.W.
        • Gault M.H.
        Prediction of creatinine clearance from serum creatinine.
        Nephron. 1976; 16: 31-41https://doi.org/10.1159/000180580
        • Schaeffner E.
        Determining the glomerular filtration rate—an overview.
        J. Ren. Nutr. 2017; 27: 375-380https://doi.org/10.1053/j.jrn.2017.07.005
        • Eriksen B.O.
        • Mathisen U.D.
        • Melsom T.
        • Ingebretsen O.C.
        • Jenssen T.G.
        • Njølstad I.
        • Solbu M.D.
        • Toft I.
        Cystatin C is not a better estimator of GFR than plasma creatinine in the general population.
        Kidney Int. 2010; 78: 1305-1311https://doi.org/10.1038/ki.2010.321
        • Kilbride H.S.
        • Stevens P.E.
        • Eaglestone G.
        • Knight S.
        • Carter J.L.
        • Delaney M.P.
        • Farmer C.K.T.
        • Irving J.
        • O’Riordan S.E.
        • Dalton R.N.
        • Lamb E.J.
        Accuracy of the MDRD (Modification of Diet in Renal Disease) study and CKD-EPI (CKD Epidemiology Collaboration) equations for estimation of GFR in the elderly.
        Am. J. Kidney Dis. 2013; 61: 57-66