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Validation of the Kidney Failure Risk Equation in Manitoba

BACKGROUND: Patients with chronic kidney disease (CKD) are at risk to progress to kidney failure. We previously developed the Kidney Failure Risk Equation (KFRE) to predict progression to kidney failure in patients referred to nephrologists. OBJECTIVE: The objective of this study was to determine th...

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Autores principales: Whitlock, Reid H., Chartier, Mariette, Komenda, Paul, Hingwala, Jay, Rigatto, Claudio, Walld, Randy, Dart, Allison, Tangri, Navdeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406122/
https://www.ncbi.nlm.nih.gov/pubmed/28491341
http://dx.doi.org/10.1177/2054358117705372
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author Whitlock, Reid H.
Chartier, Mariette
Komenda, Paul
Hingwala, Jay
Rigatto, Claudio
Walld, Randy
Dart, Allison
Tangri, Navdeep
author_facet Whitlock, Reid H.
Chartier, Mariette
Komenda, Paul
Hingwala, Jay
Rigatto, Claudio
Walld, Randy
Dart, Allison
Tangri, Navdeep
author_sort Whitlock, Reid H.
collection PubMed
description BACKGROUND: Patients with chronic kidney disease (CKD) are at risk to progress to kidney failure. We previously developed the Kidney Failure Risk Equation (KFRE) to predict progression to kidney failure in patients referred to nephrologists. OBJECTIVE: The objective of this study was to determine the ability of the KFRE to discriminate which patients will progress to kidney failure in an unreferred population. DESIGN: A retrospective cohort study was conducted using administrative databases. SETTING: This study took place in Manitoba, Canada. MEASUREMENTS: Age, sex, estimated glomerular filtration rate (eGFR), and urine albumin-to-creatinine ratio (ACR) were measured. METHODS: We included patients from the Diagnostic Services of Manitoba database with an eGFR <60 mL/min/1.73 m(2) and ACR measured between October 2006 and March 2007. Five-year kidney failure risk was predicted using the 4-variable KFRE and compared with treated kidney failure events from the Manitoba Renal Program database. Sensitivity and specificity for KFRE risk thresholds (3% and 10% over 5 years) were compared with eGFR thresholds (30 and 45 mL/min/1.73 m(2)). RESULTS: Of 1512 included patients, 151 developed kidney failure over the 5-year follow-up period. The 4-variable KFRE showed a superior prognostic discrimination compared with eGFR alone (area under the receiver operating characteristic curve [AUROC] values, 0.90 [95% confidence interval {CI}: 0.88-0.92] for KFRE vs 0.78 [95% CI: 0.74-0.83] for eGFR). At a 3% threshold over 5 years, the KFRE had a sensitivity of 97% and a specificity of 62%. At 10% risk, sensitivity was 86%, and specificity was 80%. LIMITATIONS: Only 11.7% of stage 3-5 CKD patients had simultaneous ACR measurement. The KFRE does not account for other indications for referral such as suspected glomerulonephritis, polycystic kidney disease, and recurrent stone disease. CONCLUSIONS: The KFRE has been validated in a population with a demographic and referral profile heretofore untested and performs well at predicting 5-year risk of kidney failure in a population-based sample of Manitobans with CKD stages 3 to 5. Thresholds of 3% and 10% over 5 years are sensitive, specific, and can be used in clinical decision making. Further testing of the 4-variable KFRE and these thresholds in clinical practice should be considered.
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spelling pubmed-54061222017-05-10 Validation of the Kidney Failure Risk Equation in Manitoba Whitlock, Reid H. Chartier, Mariette Komenda, Paul Hingwala, Jay Rigatto, Claudio Walld, Randy Dart, Allison Tangri, Navdeep Can J Kidney Health Dis Original Research Article BACKGROUND: Patients with chronic kidney disease (CKD) are at risk to progress to kidney failure. We previously developed the Kidney Failure Risk Equation (KFRE) to predict progression to kidney failure in patients referred to nephrologists. OBJECTIVE: The objective of this study was to determine the ability of the KFRE to discriminate which patients will progress to kidney failure in an unreferred population. DESIGN: A retrospective cohort study was conducted using administrative databases. SETTING: This study took place in Manitoba, Canada. MEASUREMENTS: Age, sex, estimated glomerular filtration rate (eGFR), and urine albumin-to-creatinine ratio (ACR) were measured. METHODS: We included patients from the Diagnostic Services of Manitoba database with an eGFR <60 mL/min/1.73 m(2) and ACR measured between October 2006 and March 2007. Five-year kidney failure risk was predicted using the 4-variable KFRE and compared with treated kidney failure events from the Manitoba Renal Program database. Sensitivity and specificity for KFRE risk thresholds (3% and 10% over 5 years) were compared with eGFR thresholds (30 and 45 mL/min/1.73 m(2)). RESULTS: Of 1512 included patients, 151 developed kidney failure over the 5-year follow-up period. The 4-variable KFRE showed a superior prognostic discrimination compared with eGFR alone (area under the receiver operating characteristic curve [AUROC] values, 0.90 [95% confidence interval {CI}: 0.88-0.92] for KFRE vs 0.78 [95% CI: 0.74-0.83] for eGFR). At a 3% threshold over 5 years, the KFRE had a sensitivity of 97% and a specificity of 62%. At 10% risk, sensitivity was 86%, and specificity was 80%. LIMITATIONS: Only 11.7% of stage 3-5 CKD patients had simultaneous ACR measurement. The KFRE does not account for other indications for referral such as suspected glomerulonephritis, polycystic kidney disease, and recurrent stone disease. CONCLUSIONS: The KFRE has been validated in a population with a demographic and referral profile heretofore untested and performs well at predicting 5-year risk of kidney failure in a population-based sample of Manitobans with CKD stages 3 to 5. Thresholds of 3% and 10% over 5 years are sensitive, specific, and can be used in clinical decision making. Further testing of the 4-variable KFRE and these thresholds in clinical practice should be considered. SAGE Publications 2017-04-20 /pmc/articles/PMC5406122/ /pubmed/28491341 http://dx.doi.org/10.1177/2054358117705372 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Whitlock, Reid H.
Chartier, Mariette
Komenda, Paul
Hingwala, Jay
Rigatto, Claudio
Walld, Randy
Dart, Allison
Tangri, Navdeep
Validation of the Kidney Failure Risk Equation in Manitoba
title Validation of the Kidney Failure Risk Equation in Manitoba
title_full Validation of the Kidney Failure Risk Equation in Manitoba
title_fullStr Validation of the Kidney Failure Risk Equation in Manitoba
title_full_unstemmed Validation of the Kidney Failure Risk Equation in Manitoba
title_short Validation of the Kidney Failure Risk Equation in Manitoba
title_sort validation of the kidney failure risk equation in manitoba
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406122/
https://www.ncbi.nlm.nih.gov/pubmed/28491341
http://dx.doi.org/10.1177/2054358117705372
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