Greater variability in kidney function is associated with an increased risk of death

被引:66
作者
Al-Aly, Ziyad [1 ,2 ]
Balasubramanian, Sumitra [2 ]
McDonald, Jay R. [2 ,3 ]
Scherrer, Jeffrey F. [2 ,4 ]
O'Hare, Ann M. [5 ,6 ,7 ]
机构
[1] St Louis Vet Affairs Med Ctr, Dept Med, Div Nephrol, St Louis, MO 63106 USA
[2] St Louis Vet Affairs Clin Res & Epidemiol Ctr, St Louis, MO USA
[3] Washington Univ, Sch Med, Dept Med, Div Infect Dis, St Louis, MO 63110 USA
[4] Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA
[5] Vet Affairs Puget Sound Healthcare Syst, Div Nephrol, Dept Med, Seattle, WA USA
[6] Univ Washington, Dept Med, Div Nephrol, Seattle, WA 98195 USA
[7] Vet Affairs Puget Sound Healthcare Syst, Hlth Serv Res & Dev Ctr Excellence, Seattle, WA USA
关键词
acute kidney injury; chronic kidney disease; eGFR slope; longitudinal data; mortality risk; variability; GLOMERULAR-FILTRATION-RATE; HEMOGLOBIN VARIABILITY; FUNCTION DECLINE; MORTALITY RISK; SERUM CREATININE; DISEASE; CARE; CONSEQUENCES; OUTCOMES; EQUATION;
D O I
10.1038/ki.2012.276
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
Intra-individual variability in kidney function is a common phenomenon; however, predictors of kidney function variability and its prognostic significance are not known. To examine this question, we assembled a cohort of 51,304 US veterans with an estimated glomerular filtration rate (eGFR) <60 ml/min at the end of the study period and who had at least two eGFR measurements during the previous 3 years. Variability in kidney function was defined for each patient as the coefficient of variation of the regression line fitted to all outpatient measures of eGFR during this time frame. In adjusted analyses, blacks, women, and those with Current Procedural Terminology and ICD-9-CM diagnostic codes for hypertension, diabetes, cardiovascular disease, peripheral artery disease, chronic lung disease, hepatitis C, dementia, acute kidney injury, and those with a greater number of hospitalizations had greater variability in eGFR. After a median follow-up of 4.9 years, there were 23.66%, 25.68%, and 31.23% deaths among patients in the lowest, intermediate, and highest tertiles of eGFR variability, respectively. Compared with the referent (those in the lowest tertile), patients in the highest tertile had a significantly increased risk of death with a hazard ratio of 1.34 (1.28-1.40), an association consistently present in all sensitivity analyses. Thus, our results demonstrate that greater variability in kidney function is independently associated with increased risk of death. Kidney International (2012) 82, 1208-1214; doi:10.1038/ki.2012.276; published online 1 August 2012
引用
收藏
页码:1208 / 1214
页数:7
相关论文
共 54 条
[11]   Glycemic variability:: A hemoglobin A1c-independent risk factor for diabetic complications [J].
Brownlee, M ;
Hirsch, IB .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2006, 295 (14) :1707-1708
[12]   Executive summary of the Third Report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) [J].
Cleeman, JI ;
Grundy, SM ;
Becker, D ;
Clark, LT ;
Cooper, RS ;
Denke, MA ;
Howard, WJ ;
Hunninghake, DB ;
Illingworth, DR ;
Luepker, RV ;
McBride, P ;
McKenney, JM ;
Pasternak, RC ;
Stone, NJ ;
Van Horn, L ;
Brewer, HB ;
Ernst, ND ;
Gordon, D ;
Levy, D ;
Rifkind, B ;
Rossouw, JE ;
Savage, P ;
Haffner, SM ;
Orloff, DG ;
Proschan, MA ;
Schwartz, JS ;
Sempos, CT ;
Shero, ST ;
Murray, EZ .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2001, 285 (19) :2486-2497
[13]   Using administrative databases for outcomes research: Select examples from VA Health Services Research and Development [J].
Cowper D.C. ;
Hynes D.M. ;
Kubal J.D. ;
Murphy P.A. .
Journal of Medical Systems, 1999, 23 (3) :249-259
[14]   Hemoglobin Variability Does Not Predict Mortality in European Hemodialysis Patients [J].
Eckardt, Kai-Uwe ;
Kim, Joseph ;
Kronenberg, Florian ;
Aljama, Pedro ;
Anker, Stefan D. ;
Canaud, Bernard ;
Molemans, Bart ;
Stenvinkel, Peter ;
Schernthaner, Guntram ;
Ireland, Elizabeth ;
Fouqueray, Bruno ;
Macdougall, Iain C. .
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2010, 21 (10) :1765-1775
[15]   K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification - Foreword [J].
Eknoyan, G ;
Levin, NW .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2002, 39 (02) :S14-S266
[16]   Comorbidity measures for use with administrative data [J].
Elixhauser, A ;
Steiner, C ;
Harris, DR ;
Coffey, RN .
MEDICAL CARE, 1998, 36 (01) :8-27
[17]   Cost of care for patients in cancer clinical trials [J].
Fireman, BH ;
Fehrenbacher, L ;
Gruskin, EP ;
Ray, GT .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2000, 92 (02) :136-142
[18]   Development and verification of a "virtual" cohort using the national VA health information system [J].
Fultz, Shawn L. ;
Skanderson, Melissa ;
Mole, Larry A. ;
Gandhi, Neel ;
Bryant, Kendall ;
Crystal, Stephen ;
Justice, Amy C. .
MEDICAL CARE, 2006, 44 (08) :S25-S30
[19]   Hemoglobin Level Variability: Anemia Management among Variability Groups [J].
Gilbertson, David T. ;
Peng, Yi ;
Bradbury, Brian ;
Ebben, James P. ;
Collins, Allan J. .
AMERICAN JOURNAL OF NEPHROLOGY, 2009, 30 (06) :491-498
[20]   Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization [J].
Go, AS ;
Chertow, GM ;
Fan, DJ ;
McCulloch, CE ;
Hsu, CY .
NEW ENGLAND JOURNAL OF MEDICINE, 2004, 351 (13) :1296-1305