4.6 Article

The Difference Between Cystatin C- and Creatinine-Based Estimated GFR and Associations With Frailty and Adverse Outcomes: A Cohort Analysis of the Systolic Blood Pressure Intervention Trial (SPRINT)

期刊

AMERICAN JOURNAL OF KIDNEY DISEASES
卷 76, 期 6, 页码 765-774

出版社

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1053/j.ajkd.2020.05.017

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资金

  1. American Kidney Fund Clinical Scientist in Nephrology Fellow Program
  2. Akebia Therapeutics, Inc.
  3. Veterans' Affairs Merit Award [H160180]
  4. Wake Forest Claude Pepper Center [P30 AG021332]
  5. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) [R01DK098234]
  6. American Heart Association [14EIA18560026]
  7. National Institutes of Health (NIH)
  8. National Heart, Lung, and Blood Institute
  9. NIDDK
  10. National Institute on Aging
  11. National Institute of Neurological Disorders and Stroke [HHSN268200900040C, HHSN 268200900046C, HHSN268200900047C, HHSN2682 00900048C, HHSN268200900049C, A-HL-13-002-001]
  12. Department of Veterans Affairs
  13. National Center for Advancing Translational Sciences of the NIH (Case Western Reserve University) [UL1TR000439]
  14. National Center for Advancing Translational Sciences of the NIH (Ohio State University) [UL1RR025755]
  15. National Center for Advancing Translational Sciences of the NIH (University of Pennsylvania) [UL1RR024134, UL1TR000003]
  16. National Center for Advancing Translational Sciences of the NIH (Boston University) [UL1RR025771]
  17. National Center for Advancing Translational Sciences of the NIH (Stanford University) [UL1TR000093]
  18. National Center for Advancing Translational Sciences of the NIH (Tufts University) [UL1RR025752, UL1TR000073, UL1TR001064]
  19. National Center for Advancing Translational Sciences of the NIH (University of Texas Southwestern) [9U54TR000017-06]
  20. National Center for Advancing Translational Sciences of the NIH (University of Utah) [UL1TR000105-05]
  21. National Center for Advancing Translational Sciences of the NIH (Vanderbilt University) [UL1TR000445]
  22. National Center for Advancing Translational Sciences of the NIH (George Washington University) [UL1TR000075]
  23. National Center for Advancing Translational Sciences of the NIH (University of California, Davis) [UL1TR000002]
  24. National Center for Advancing Translational Sciences of the NIH (University of Florida) [UL1TR000064]
  25. National Center for Advancing Translational Sciences of the NIH (University of Michigan) [UL1TR000433]
  26. National Center for Advancing Translational Sciences of the NIH (Tulane University: COBRE Award NIGMS) [P30GM103337]
  27. National Center for Advancing Translational Sciences of the NIH (University of Illinois) [UL1TR000050]
  28. National Center for Advancing Translational Sciences of the NIH (University of Pittsburgh) [UL1TR000005]
  29. [5T32DK104717]
  30. [K23 DK09152]
  31. [K24DK110427]

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Rationale & Objective: In prior research and in practice, the difference between estimated glomerular filtration rate (eGFR) calculated from cystatin C level and eGFR calculated from creatinine level has not been assessed for clinical significance and relevance. We evaluated whether these differences contain important information about frailty. Study Design: A cohort analysis of the Systolic Blood Pressure Intervention Trial (SPRINT). Setting & Participants: 9,092 hypertensive SPRINT participants who had baseline measurements of serum creatinine, cystatin C, and frailty. Exposure: eGFRs calculated using CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equations (eGFRcys and eGFRcr), and eGFR(Diff), calculated as eGFR(cys) - eGFR(cr). Outcomes: A validated 35-item frailty index that included questionnaire data for general and physical health, limitations of activities, pain, depression, sleep, energy level, self-care, and smoking status, as well as medical history, cognitive assessment, and laboratory data. We defined frailty as frailty index score > 0.21 (range, 0-1). The incidence of injurious falls, hospitalizations, cardiovascular events, and mortality was also recorded Analytical Approach: We used logistic regression to model the cross-sectional association of baseline eGFR(Diff) with frailty among all SPRINT participants. Adjusted proportional hazards regression was used to evaluate the association of eGFR(Diff) with adverse outcomes and mortality. Results: Mean age was 68 9 (SD) years, mean eGFR(cys) and eGFR(cr) were 73 23 and 72 +/- 20 mL/min/1.73 m(2), and mean eGFR(Diff) was 0.5 +/- 15 mL/min/1.73 m(2). In adjusted models, each 1-SD higher eGFR(Diff) was associated with 24% lower odds of prevalent frailty (OR, 0.76; 95% CI, 0.71-0.81), as well as with lower incidence rate of injurious falls (HR, 0.84; 95% CI, 0.77-0.92), hospitalization (HR, 0.91; 95% CI, 0.8 8-0.95), cardiovascular events (HR, 0.89; 95% CI, 0.81-0.97), and all-cause mortality (HR, 0.71; 95% CI, 0.63-0.82); P < 0.01. Limitations: Gold-standard measure of kidney function and assessment of muscle mass were not available. Conclusions: The difference between eGFR(cys) and eGFR(cr) is associated with frailty and health status. Positive eGFR(Diff) is strongly associated with lower risks for longitudinal adverse outcomes and mortality, even after adjusting for chronic kidney disease stage and baseline frailty.

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