4.6 Article

Longitudinal Weight Change During CKD Progression and Its Association With Subsequent Mortality

期刊

AMERICAN JOURNAL OF KIDNEY DISEASES
卷 71, 期 5, 页码 657-665

出版社

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1053/j.ajkd.2017.09.015

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资金

  1. Satellite Dialysis Clinical Investigator Grant of the National Kidney Foundation
  2. NHLBI [K23 HL131023]
  3. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) [K24 DK92291]
  4. National Institutes of Health (NIH) [K24 DK085153]
  5. NIDDK [U01DK060990, U01DK060984, U01DK061022, U01DK061021, U01DK061028, U01DK060980, U01DK060963, U01DK060902]
  6. Perelman School of Medicine at the University of Pennsylvania Clinical and Translational Science Award (CTSA) NIH/National Center for Advancing Translational Sciences (NCATS) [UL1TR000003]
  7. Johns Hopkins University [UL1 TR-000424]
  8. University of Maryland General Clinical Research Center [M01 RR-16500]
  9. Clinical and Translational Science Collaborative of Cleveland
  10. NCATS component of the NIH [UL1TR000439]
  11. NIH Roadmap for Medical
  12. Michigan Institute for Clinical and Health Research [UL1TR000433]
  13. University of Illinois at Chicago [CTSA UL1RR029879]
  14. Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases [P20 GM109036]
  15. Kaiser Permanente NIH/National Center for Research Resources [UCSF-CTSI UL1 RR-024131]

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Background: Few studies have investigated the changes in weight that may occur over time among adults with the progression of chronic kidney disease (CKD). Whether such weight changes are independently associated with death after the onset of end-stage renal disease has also not been rigorously examined. Study Design: Prospective cohort study. Setting & Participants: We studied 3,933 participants of the Chronic Renal Insufficiency Cohort (CRIC) Study, a longitudinal cohort of patients with CKD. We also performed similar analyses among 1,067 participants of the African American Study of Kidney Disease and Hypertension (AASK). Predictors: Estimated glomerular filtration rate (eGFR) and weight change during CKD. Outcome: Weight and all-cause mortality after dialysis therapy initiation. Results: During a median follow-up of 5.7 years in CRIC, weight change was not linear. Weight was stable until cystatin C-based eGFR (eGFR(cys)) decreased to <35 mL/min/1.73 m(2); thereafter, weight declined at a mean rate of 1.45 kg (95% CI, 1.19-1.70) for every 10 mL/min/1.73 m(2) decline in eGFR(cys). Among the 770 CRIC participants who began hemodialysis or peritoneal dialysis therapy during follow-up, a >5% annualized weight loss after eGFR decreased to <35 mL/min/1.73 m(2) was associated with a 54% higher risk for death after dialysis therapy initiation (95% CI, 1.17-2.03) compared with those with more stable weight (annualized weight changes within 5% of baseline) in adjusted analysis. Similar findings were observed in the AASK. Limitations: Inclusion of research participants only; inability to distinguish intentional versus unintentional weight loss. Conclusions: Significant weight loss began relatively early during the course of CKD and was associated with a substantially higher risk for death after dialysis therapy initiation. Further studies are needed to determine whether interventions to optimize weight and nutritional status before the initiation of dialysis therapy will improve outcomes after end-stage renal disease.

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