A comparison of change in measured and estimated glomerular filtration rate in patients with nondiabetic kidney disease

被引:61
作者
Xie, Dawei [1 ]
Joffe, Marshall M. [1 ]
Brunelli, Steven M. [1 ,2 ]
Beck, Gerald [3 ]
Chertow, Glenn M. [4 ]
Fink, Jeffrey C. [5 ]
Greene, Tom [6 ]
Hsu, Chi-yuan [7 ]
Kusek, John W. [8 ]
Landis, Richard [1 ]
Lash, James [9 ]
Levey, Andrew S. [10 ]
O'Conner, Andrew [11 ]
Ojo, Akinlolu [12 ]
Rahman, Mahboob [13 ]
Townsend, Raymond R. [2 ]
Wang, Hao [1 ]
Feldman, Harold I. [1 ,2 ]
机构
[1] Univ Penn, Ctr Clin Epidemiol & Biostat, Sch Med, Philadelphia, PA 19104 USA
[2] Univ Penn, Dept Med, Sch Med, Philadelphia, PA 19104 USA
[3] Cleveland Clin Fdn, Dept Quantitat Hlth Sci, Cleveland, OH 44195 USA
[4] Stanford Univ, Sch Med, Div Nephrol, Palo Alto, CA 94304 USA
[5] Univ Maryland, Sch Med, Div Nephrol, Baltimore, MD 21201 USA
[6] Univ Utah, Sch Med, Div Clin Epidemiol, Salt Lake City, UT USA
[7] Univ Calif San Francisco, Sch Med, Div Nephrol, San Francisco, CA USA
[8] NIDDK, Div Kidney Urol & Hematol Dis, NIH, Bethesda, MD USA
[9] Univ Illinois, Sch Med, Div Nephrol, Chicago, IL USA
[10] Tufts Univ, Sch Med, Div Nephrol, Boston, MA 02111 USA
[11] Univ Med & Dent New Jersey, Robert Wood Johnson Med Sch, Dept Emergency Med, New Brunswick, NJ USA
[12] Univ Michigan, Sch Med, Div Nephrol, Ann Arbor, MI USA
[13] Case Western Reserve Univ, Sch Med, Div Nephrol & Hypertens, Cleveland, OH USA
来源
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY | 2008年 / 3卷 / 05期
关键词
D O I
10.2215/CJN.05631207
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background and objectives: All glomerular filtration rate (GFR) estimating equations have been developed from cross-sectional data. The aims of this study were to examine the concordance between use of measured GFR (mGFR) and estimated GFR (eGFR) in tracking changes in kidney function over time among patients with moderately severe chronic kidney disease. Design, setting, participants, & measurements: A retrospective cohort study of subjects who had been enrolled in the MDRD Study A and who had two or more contemporaneous assessments of mGFR and eGFR (n = 542; mGFR range, 25 to 55 ml/min per 1.73 m(2)) during the chronic phase (month 4 and afterwards). mGFR was based on urinary iothalamate clearance; eGFR was based on the 4-variable MDRD Study equation. Temporal changes in GFR were assessed by within-subject linear regression of time on GFR. Results: Median follow-up time for all subjects was 2.6 yr; median number of GFR measurements was six. The eGFR slope tended to underestimate measured decrements in GFR. The absolute value of the difference in mGFR and eGFR slopes was <= 2 ml/min per 1.73 m(2) per yr among 58.3% of subjects; the remainder of subjects had larger absolute differences. Among the 22 variables studied, none predicted a systematic difference between mGFR slope and eGFR slope. Conclusions: Although eGFR and mGFR exhibited similar relationships to 22 baseline variables, the overall bias seen in the full cohort suggests that clinicians and researchers should exercise caution when interpreting eGFR slope as a marker of progression of kidney disease.
引用
收藏
页码:1332 / 1338
页数:7
相关论文
共 24 条
  • [1] Calcium channel blockers versus other antihypertensive therapies on progression of NIDDM associated nephropathy
    Bakris, GL
    Copley, JB
    Vicknair, N
    Sadler, R
    Leurgans, S
    [J]. KIDNEY INTERNATIONAL, 1996, 50 (05) : 1641 - 1650
  • [2] Angiotensin-receptor blockade versus converting-enzyme inhibition in type 2 diabetes and nephropathy
    Barnett, AH
    Bain, SC
    Bouter, P
    Karlberg, B
    Madsbad, S
    Jervell, J
    Mustonen, J
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2004, 351 (19) : 1952 - 1961
  • [3] Evaluation of renal function in potential living kidney donors
    Bertolatus, JA
    Goddard, L
    [J]. TRANSPLANTATION, 2001, 71 (02) : 256 - 260
  • [4] Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy
    Brenner, BM
    Cooper, ME
    de Zeeuw, D
    Keane, WF
    Mitch, WE
    Parving, HH
    Remuzzi, G
    Snapinn, SM
    Zhang, ZX
    Shahinfar, S
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2001, 345 (12) : 861 - 869
  • [5] Creatinine clearance as a measure of GFR in screenees for the African-American study of kidney disease and hypertension pilot study
    Coresh, J
    Toto, RD
    Kirk, KA
    Whelton, PK
    Massry, S
    Jones, C
    Agodoa, L
    Van Lente, F
    [J]. AMERICAN JOURNAL OF KIDNEY DISEASES, 1998, 32 (01) : 32 - 42
  • [6] Effron B, 1993, INTRO BOOTSTRAP
  • [7] Are prediction equations for glomerular filtration rate useful for the long-term monitoring of type 2 diabetic patients?
    Fontsere, Nestor
    Salinas, Isabel
    Bonal, Jordi
    Bayes, Beatriz
    Riba, Joaquim
    Torres, Ferran
    Rios, Jose
    Sanmarti, Ana
    Romero, Ramon
    [J]. NEPHROLOGY DIALYSIS TRANSPLANTATION, 2006, 21 (08) : 2152 - 2158
  • [8] Simple cystatin C-based prediction equations for glomerular filtration rate compared with the modification of diet in renal disease prediction equation for adults and the Schwartz and the Counahan-Barratt prediction equations for children
    Grubb, A
    Nyman, U
    Björk, J
    Lindström, V
    Rippe, B
    Sterner, G
    Christensson, A
    [J]. CLINICAL CHEMISTRY, 2005, 51 (08) : 1420 - 1431
  • [9] *K DOQI, CLIN PRACT GUID CH 3
  • [10] *K DOQI, CLIN PRACT GUID CH 5