메뉴 건너뛰기




Volumn 104, Issue 3, 2018, Pages 707-710

When HbA1c and Blood Glucose Do Not Match: How Much Is Determined by Race, by Genetics, by Differences in Mean Red Blood Cell Age?

Author keywords

[No Author keywords available]

Indexed keywords

CREATININE; FRUCTOSAMINE; GLUCOSE; HEMOGLOBIN A1C; GLYCOSYLATED HEMOGLOBIN;

EID: 85060156325     PISSN: 0021972X     EISSN: 19457197     Source Type: Journal    
DOI: 10.1210/jc.2018-02409     Document Type: Note
Times cited : (28)

References (18)
  • 1
    • 0025231602 scopus 로고
    • Unexplained variability of glycated haemoglobin in non-diabetic subjects not related to glycaemia
    • Yudkin JS, Forrest RD, Jackson CA, Ryle AJ, Davie S, Gould BJ. Unexplained variability of glycated haemoglobin in non-diabetic subjects not related to glycaemia. Diabetologia. 1990;33(4): 208-215.
    • (1990) Diabetologia , vol.33 , Issue.4 , pp. 208-215
    • Yudkin, J.S.1    Forrest, R.D.2    Jackson, C.A.3    Ryle, A.J.4    Davie, S.5    Gould, B.J.6
  • 2
    • 59949084691 scopus 로고    scopus 로고
    • The measurement and importance of red cell survival
    • Franco RS. The measurement and importance of red cell survival. Am J Hematol. 2009;84(2):109-114.
    • (2009) Am J Hematol , vol.84 , Issue.2 , pp. 109-114
    • Franco, R.S.1
  • 3
    • 0042170249 scopus 로고    scopus 로고
    • Discordance between HbA1c and fructosamine: Evidence for a glycosylation gap and its relation to diabetic nephropathy
    • Cohen RM, Holmes YR, Chenier TC, Joiner CH. Discordance between HbA1c and fructosamine: evidence for a glycosylation gap and its relation to diabetic nephropathy. Diabetes Care. 2003; 26(1):163-167.
    • (2003) Diabetes Care , vol.26 , Issue.1 , pp. 163-167
    • Cohen, R.M.1    Holmes, Y.R.2    Chenier, T.C.3    Joiner, C.H.4
  • 4
    • 35148859728 scopus 로고    scopus 로고
    • Differences in A1C by race and ethnicity among patients with impaired glucose tolerance in the Diabetes Prevention Program
    • Diabetes Prevention Program Research Group
    • Herman WH, Ma Y, Uwaifo G, Haffner S, Kahn SE, Horton ES, Lachin JM, Montez MG, Brenneman T, Barrett-Connor E; Diabetes Prevention Program Research Group. Differences in A1C by race and ethnicity among patients with impaired glucose tolerance in the Diabetes Prevention Program. Diabetes Care. 2007;30(10):2453-2457.
    • (2007) Diabetes Care , vol.30 , Issue.10 , pp. 2453-2457
    • Herman, W.H.1    Ma, Y.2    Uwaifo, G.3    Haffner, S.4    Kahn, S.E.5    Horton, E.S.6    Lachin, J.M.7    Montez, M.G.8    Brenneman, T.9    Barrett-Connor, E.10
  • 5
    • 84980370567 scopus 로고    scopus 로고
    • Are there clinical implications of racial differences in HbA1c? Yes, to not consider can do great harm!
    • Herman WH. Are there clinical implications of racial differences in HbA1c? Yes, to not consider can do great harm! Diabetes Care. 2016;39(8):1458-1461.
    • (2016) Diabetes Care , vol.39 , Issue.8 , pp. 1458-1461
    • Herman, W.H.1
  • 6
    • 84980390207 scopus 로고    scopus 로고
    • Are there clinical implications of racial differences in HbA1c? A difference, to be a difference, must make a difference
    • Selvin E. Are there clinical implications of racial differences in HbA1c? A difference, to be a difference, must make a difference. Diabetes Care. 2016;39(8):1462-1467.
    • (2016) Diabetes Care , vol.39 , Issue.8 , pp. 1462-1467
    • Selvin, E.1
  • 8
    • 84864796820 scopus 로고    scopus 로고
    • Should the hemoglobin A1c diagnostic cutoff differ between blacks and whites? A cross-sectional study
    • Tsugawa Y, Mukamal KJ, Davis RB, Taylor WC, Wee CC. Should the hemoglobin A1c diagnostic cutoff differ between blacks and whites? A cross-sectional study. Ann Intern Med. 2012;157(3): 153-159.
    • (2012) Ann Intern Med , vol.157 , Issue.3 , pp. 153-159
    • Tsugawa, Y.1    Mukamal, K.J.2    Davis, R.B.3    Taylor, W.C.4    Wee, C.C.5
  • 9
    • 85062516217 scopus 로고    scopus 로고
    • Interpersonal differences in HbA1c glycation are associated with differences in risk for retinopathy and hypoglycemia [abstract]
    • Abstract 1626-P
    • Rhee MK, Safo SE, Stamez LR, Jackson SL, Long Q, Deng Y, Phillips LS. Interpersonal differences in HbA1c "glycation" are associated with differences in risk for retinopathy and hypoglycemia [abstract]. Diabetes. 2017;66(Suppl 1). Abstract 1626-P.
    • (2017) Diabetes , vol.66
    • Rhee, M.K.1    Safo, S.E.2    Stamez, L.R.3    Jackson, S.L.4    Long, Q.5    Deng, Y.6    Phillips, L.S.7
  • 12
    • 48149095259 scopus 로고    scopus 로고
    • Translating the A1C assay into estimated average glucose values [published correction appears in Diabetes Care [2009 32(1) 207]
    • A1c-Derived Average Glucose Study Group
    • Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ; A1c-Derived Average Glucose Study Group. Translating the A1C assay into estimated average glucose values [published correction appears in Diabetes Care. 2009;32(1):207]. Diabetes Care. 2008; 31(8):1473-1478.
    • (2008) Diabetes Care , vol.31 , Issue.8 , pp. 1473-1478
    • Nathan, D.M.1    Kuenen, J.2    Borg, R.3    Zheng, H.4    Schoenfeld, D.5    Heine, R.J.6
  • 13
    • 84907573731 scopus 로고    scopus 로고
    • Accessed 6 November International Diabetes Federation
    • International Diabetes Federation. IDF diabetes atlas eighth edition. Available at: www.idf.org/aboutdiabetes/what-is-diabetes/facts-figures. html. Accessed 6 November 2018.
    • (2018) IDF Diabetes Atlas Eighth Edition
  • 17
    • 78650531287 scopus 로고    scopus 로고
    • Physiological and pathological population dynamics of circulating human red blood cells
    • Higgins JM, Mahadevan L. Physiological and pathological population dynamics of circulating human red blood cells. Proc Natl Acad Sci USA. 2010;107(47):20587-20592.
    • (2010) Proc Natl Acad Sci USA , vol.107 , Issue.47 , pp. 20587-20592
    • Higgins, J.M.1    Mahadevan, L.2
  • 18
    • 84990946245 scopus 로고    scopus 로고
    • Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring
    • Malka R, Nathan DM, Higgins JM. Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring. Sci Transl Med. 2016;8(359): 359ra130.
    • (2016) Sci Transl Med , vol.8 , Issue.359 , pp. 359ra130
    • Malka, R.1    Nathan, D.M.2    Higgins, J.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.