Tags

Type your tag names separated by a space and hit enter

Estimating time to ESRD using kidney failure risk equations: results from the African American Study of Kidney Disease and Hypertension (AASK).
Am J Kidney Dis. 2015 Mar; 65(3):394-402.AJ

Abstract

BACKGROUND

Planning for renal replacement therapy, such as referral for arteriovenous fistula placement and transplantation, often is guided by level of estimated glomerular filtration rate (eGFR). The use of risk equations might enable more accurate estimation of time to end-stage renal disease (ESRD), thus improving patient care.

STUDY DESIGN

Prospective observational study.

SETTING & PARTICIPANTS

1,094 participants in the African American Study of Kidney Disease and Hypertension (AASK) cohort.

PREDICTOR

Age, sex, urine protein-creatinine ratio ≥ 1g/g, APOL1 high-risk status, and 3-year antecedent eGFR decline.

OUTCOME

Cumulative incidence of ESRD from 5 different starting points: eGFR of 30 and 15mL/min/1.73m(2) and 1-year ESRD risk of 5%, 10%, and 20%, estimated by a published 4-variable kidney failure risk equation.

RESULTS

566 participants developed eGFR of 30mL/min/1.73m(2), 244 developed eGFR of 15mL/min/1.73m(2), and 437, 336, and 259 developed 1-year ESRD risks of 5%, 10%, and 20%, respectively. The 1-year cumulative incidence of ESRD was 4.3% from eGFR of 30mL/min/1.73m(2), 49.0% from eGFR of 15mL/min/1.73m(2), 6.7% from 5% ESRD risk, 15.0% from 10% ESRD risk, and 29% from 20% ESRD risk. From eGFR of 30mL/min/1.73m(2), there were several risk factors that predicted ESRD risk. From eGFR of 15mL/min/1.73m(2), only level of proteinuria did; median time to ESRD was 9 and 19 months in those with higher and lower proteinuria, respectively. Median times were less variable from corresponding ESRD risk thresholds. For example, median times to ESRD from 20% ESRD risk were 22 and 25 months among those with higher and lower proteinuria, respectively.

LIMITATIONS

Relatively homogeneous population of African Americans with hypertensive kidney disease.

CONCLUSIONS

Results of the present study suggest the potential benefit of incorporating kidney failure risk equations into clinical care, with selection of a specific threshold guided by its intended use.

Authors+Show Affiliations

Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD. Electronic address: mgrams2@jhmi.edu.University of Texas MD Anderson Cancer Center, Houston, TX.Division of Clinical Epidemiology, University of Utah School of Medicine, Salt Lake City, UT.Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD.Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD.Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD.Division of Nephrology, Georgetown University School of Medicine, Washington, DC.Department of Medicine, Case Western Reserve University, Cleveland, OH.Division of Nephrology, Geisinger Health System, Danville, PA.Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI; Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI.Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD; University of Texas MD Anderson Cancer Center, Houston, TX; Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.

Pub Type(s)

Journal Article
Multicenter Study
Observational Study
Randomized Controlled Trial
Research Support, N.I.H., Extramural

Language

eng

PubMed ID

25441435

Citation

Grams, Morgan E., et al. "Estimating Time to ESRD Using Kidney Failure Risk Equations: Results From the African American Study of Kidney Disease and Hypertension (AASK)." American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation, vol. 65, no. 3, 2015, pp. 394-402.
Grams ME, Li L, Greene TH, et al. Estimating time to ESRD using kidney failure risk equations: results from the African American Study of Kidney Disease and Hypertension (AASK). Am J Kidney Dis. 2015;65(3):394-402.
Grams, M. E., Li, L., Greene, T. H., Tin, A., Sang, Y., Kao, W. H., Lipkowitz, M. S., Wright, J. T., Chang, A. R., Astor, B. C., & Appel, L. J. (2015). Estimating time to ESRD using kidney failure risk equations: results from the African American Study of Kidney Disease and Hypertension (AASK). American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation, 65(3), 394-402. https://doi.org/10.1053/j.ajkd.2014.07.026
Grams ME, et al. Estimating Time to ESRD Using Kidney Failure Risk Equations: Results From the African American Study of Kidney Disease and Hypertension (AASK). Am J Kidney Dis. 2015;65(3):394-402. PubMed PMID: 25441435.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Estimating time to ESRD using kidney failure risk equations: results from the African American Study of Kidney Disease and Hypertension (AASK). AU - Grams,Morgan E, AU - Li,Liang, AU - Greene,Tom H, AU - Tin,Adrienne, AU - Sang,Yingying, AU - Kao,W H Linda, AU - Lipkowitz,Michael S, AU - Wright,Jackson T, AU - Chang,Alex R, AU - Astor,Brad C, AU - Appel,Lawrence J, Y1 - 2014/10/14/ PY - 2014/03/21/received PY - 2014/07/29/accepted PY - 2014/12/3/entrez PY - 2014/12/3/pubmed PY - 2015/4/25/medline KW - African American Study of Kidney Disease and Hypertension (AASK) KW - End-stage renal disease (ESRD) KW - clinical decision making KW - disease progression KW - disease trajectory KW - estimated glomerular filtration rate (eGFR) KW - hypertensive kidney disease KW - kidney failure risk equations KW - prognosis KW - proteinuria KW - risk SP - 394 EP - 402 JF - American journal of kidney diseases : the official journal of the National Kidney Foundation JO - Am J Kidney Dis VL - 65 IS - 3 N2 - BACKGROUND: Planning for renal replacement therapy, such as referral for arteriovenous fistula placement and transplantation, often is guided by level of estimated glomerular filtration rate (eGFR). The use of risk equations might enable more accurate estimation of time to end-stage renal disease (ESRD), thus improving patient care. STUDY DESIGN: Prospective observational study. SETTING & PARTICIPANTS: 1,094 participants in the African American Study of Kidney Disease and Hypertension (AASK) cohort. PREDICTOR: Age, sex, urine protein-creatinine ratio ≥ 1g/g, APOL1 high-risk status, and 3-year antecedent eGFR decline. OUTCOME: Cumulative incidence of ESRD from 5 different starting points: eGFR of 30 and 15mL/min/1.73m(2) and 1-year ESRD risk of 5%, 10%, and 20%, estimated by a published 4-variable kidney failure risk equation. RESULTS: 566 participants developed eGFR of 30mL/min/1.73m(2), 244 developed eGFR of 15mL/min/1.73m(2), and 437, 336, and 259 developed 1-year ESRD risks of 5%, 10%, and 20%, respectively. The 1-year cumulative incidence of ESRD was 4.3% from eGFR of 30mL/min/1.73m(2), 49.0% from eGFR of 15mL/min/1.73m(2), 6.7% from 5% ESRD risk, 15.0% from 10% ESRD risk, and 29% from 20% ESRD risk. From eGFR of 30mL/min/1.73m(2), there were several risk factors that predicted ESRD risk. From eGFR of 15mL/min/1.73m(2), only level of proteinuria did; median time to ESRD was 9 and 19 months in those with higher and lower proteinuria, respectively. Median times were less variable from corresponding ESRD risk thresholds. For example, median times to ESRD from 20% ESRD risk were 22 and 25 months among those with higher and lower proteinuria, respectively. LIMITATIONS: Relatively homogeneous population of African Americans with hypertensive kidney disease. CONCLUSIONS: Results of the present study suggest the potential benefit of incorporating kidney failure risk equations into clinical care, with selection of a specific threshold guided by its intended use. SN - 1523-6838 UR - https://www.unboundmedicine.com/medline/citation/25441435/Estimating_time_to_ESRD_using_kidney_failure_risk_equations:_results_from_the_African_American_Study_of_Kidney_Disease_and_Hypertension__AASK__ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0272-6386(14)01164-0 DB - PRIME DP - Unbound Medicine ER -