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Time-Updated Changes in Estimated GFR and Proteinuria and Major Adverse Cardiac Events: Findings from the Chronic Renal Insufficiency Cohort (CRIC) Study.
Cohen, Jordana B; Yang, Wei; Li, Liang; Zhang, Xiaoming; Zheng, Zihe; Orlandi, Paula; Bansal, Nisha; Deo, Rajat; Lash, James P; Rahman, Mahboob; He, Jiang; Shafi, Tariq; Chen, Jing; Cohen, Debbie L; Matsushita, Kunihiro; Shlipak, Michael G; Wolf, Myles; Go, Alan S; Feldman, Harold I.
Affiliation
  • Cohen JB; Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA. Electronic address: jco@pennmedicine.upenn.ed
  • Yang W; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Li L; Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Zhang X; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Zheng Z; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Orlandi P; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Bansal N; Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA.
  • Deo R; Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Lash JP; Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL.
  • Rahman M; Department of Medicine, Case Western University, University Hospitals Case Medical Center, Cleveland, OH.
  • He J; Departments of Epidemiology and Medicine, Tulane University, New Orleans, LA.
  • Shafi T; Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS.
  • Chen J; Departments of Epidemiology and Medicine, Tulane University, New Orleans, LA.
  • Cohen DL; Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Matsushita K; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
  • Shlipak MG; Department of Medicine, University of California, San Francisco.
  • Wolf M; Division of Nephrology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
  • Go AS; Department of Medicine, University of California, San Francisco; Division of Research, Kaiser Permanente Northern California, Oakland, CA.
  • Feldman HI; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Am J Kidney Dis ; 79(1): 36-44.e1, 2022 01.
Article in En | MEDLINE | ID: mdl-34052355
ABSTRACT
RATIONALE &

OBJECTIVE:

Evaluating repeated measures of estimated glomerular filtration rate (eGFR) and urinary protein-creatinine ratio (UPCR) over time may enhance our ability to understand the association between changes in kidney parameters and cardiovascular disease risk. STUDY

DESIGN:

Prospective cohort study. SETTING &

PARTICIPANTS:

Annual visit data from 2,438 participants in the Chronic Renal Insufficiency Cohort (CRIC). EXPOSURES Average and slope of eGFR and UPCR in time-updated, 1-year exposure windows.

OUTCOMES:

Incident heart failure, atherosclerotic cardiovascular disease events, death, and a composite of incident heart failure, atherosclerotic cardiovascular disease events, and death. ANALYTICAL

APPROACH:

A landmark analysis, a dynamic approach to survival modeling that leverages longitudinal, iterative profiles of laboratory and clinical information to assess the time-updated 3-year risk of adverse cardiovascular outcomes.

RESULTS:

Adjusting for baseline and time-updated covariates, every standard deviation lower mean eGFR (19mL/min/1.73m2) and declining slope of eGFR (8mL/min/1.73m2 per year) were independently associated with higher risks of heart failure (hazard ratios [HRs] of 1.82 [95% CI, 1.39-2.44] and 1.28 [95% CI, 1.12-1.45], respectively) and the composite outcome (HRs of 1.32 [95% CI, 1.11-1.54] and 1.11 [95% CI, 1.03-1.20], respectively). Every standard deviation higher mean UPCR (136mg/g) and increasing UPCR (240mg/g per year) were also independently associated with higher risks of heart failure (HRs of 1.58 [95% CI, 1.28-1.97] and 1.20 [95% CI, 1.10-1.29], respectively) and the composite outcome (HRs of 1.33 [95% CI, 1.17-1.50] and 1.12 [95% CI, 1.06-1.18], respectively).

LIMITATIONS:

Limited generalizability of annual eGFR and UPCR assessments; several biomarkers for cardiovascular disease risk were not available annually.

CONCLUSIONS:

Using the landmark approach to account for time-updated patterns of kidney function, average and slope of eGFR and proteinuria were independently associated with 3-year cardiovascular risk. Short-term changes in kidney function provide information about cardiovascular risk incremental to level of kidney function, representing possible opportunities for more effective management of patients with chronic kidney disease.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Renal Insufficiency, Chronic Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Am J Kidney Dis Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Renal Insufficiency, Chronic Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Am J Kidney Dis Year: 2022 Document type: Article