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Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia

BACKGROUND: Patients with chronic kidney disease (CKD) are at high risk of end-stage kidney disease (ESKD). The Kidney Failure Risk Equation (KFRE), which predicts ESKD risk among patients with CKD, has not been validated in primary care clinics in Southeast Asia (SEA). Therefore, we aimed to (1) ev...

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Autores principales: Wang, Yeli, Nguyen, Francis Ngoc Hoang Long, Allen, John C., Lew, Jasmine Quan Lan, Tan, Ngiap Chuan, Jafar, Tazeen H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894117/
https://www.ncbi.nlm.nih.gov/pubmed/31801468
http://dx.doi.org/10.1186/s12882-019-1643-0
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author Wang, Yeli
Nguyen, Francis Ngoc Hoang Long
Allen, John C.
Lew, Jasmine Quan Lan
Tan, Ngiap Chuan
Jafar, Tazeen H.
author_facet Wang, Yeli
Nguyen, Francis Ngoc Hoang Long
Allen, John C.
Lew, Jasmine Quan Lan
Tan, Ngiap Chuan
Jafar, Tazeen H.
author_sort Wang, Yeli
collection PubMed
description BACKGROUND: Patients with chronic kidney disease (CKD) are at high risk of end-stage kidney disease (ESKD). The Kidney Failure Risk Equation (KFRE), which predicts ESKD risk among patients with CKD, has not been validated in primary care clinics in Southeast Asia (SEA). Therefore, we aimed to (1) evaluate the performance of existing KFRE equations, (2) recalibrate KFRE for better predictive precision, and (3) identify optimally feasible KFRE thresholds for nephrologist referral and dialysis planning in SEA. METHODS: All patients with CKD visiting nine primary care clinics from 2010 to 2013 in Singapore were included and applied 4-variable KFRE equations incorporating age, sex, estimated glomerular filtration rate (eGFR), and albumin-to-creatinine ratio (ACR). ESKD onset within two and five years were acquired via linkage to the Singapore Renal Registry. A weighted Brier score (the squared difference between observed vs predicted ESKD risks), bias (the median difference between observed vs predicted ESKD risks) and precision (the interquartile range of the bias) were used to select the best-calibrated KFRE equation. RESULTS: The recalibrated KFRE (named Recalibrated Pooled KFRE SEA) performed better than existing and other recalibrated KFRE equations in terms of having a smaller Brier score (square root: 2.8% vs. 4.0–9.3% at 5 years; 2.0% vs. 6.1–9.1% at 2 years), less bias (2.5% vs. 3.3–5.2% at 5 years; 1.8% vs. 3.2–3.6% at 2 years), and improved precision (0.5% vs. 1.7–5.2% at 5 years; 0.5% vs. 3.8–4.2% at 2 years). Area under ROC curve for the Recalibrated Pooled KFRE SEA equations were 0.94 (95% confidence interval [CI]: 0.93 to 0.95) at 5 years and 0.96 (95% CI: 0.95 to 0.97) at 2 years. The optimally feasible KFRE thresholds were > 10–16% for 5-year nephrologist referral and > 45% for 2-year dialysis planning. Using the Recalibrated Pooled KFRE SEA, an estimated 82 and 89% ESKD events were included among 10% of subjects at highest estimated risk of ESKD at 5-year and 2-year, respectively. CONCLUSIONS: The Recalibrated Pooled KFRE SEA performs better than existing KFREs and warrants implementation in primary care settings in SEA.
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spelling pubmed-68941172019-12-11 Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia Wang, Yeli Nguyen, Francis Ngoc Hoang Long Allen, John C. Lew, Jasmine Quan Lan Tan, Ngiap Chuan Jafar, Tazeen H. BMC Nephrol Research Article BACKGROUND: Patients with chronic kidney disease (CKD) are at high risk of end-stage kidney disease (ESKD). The Kidney Failure Risk Equation (KFRE), which predicts ESKD risk among patients with CKD, has not been validated in primary care clinics in Southeast Asia (SEA). Therefore, we aimed to (1) evaluate the performance of existing KFRE equations, (2) recalibrate KFRE for better predictive precision, and (3) identify optimally feasible KFRE thresholds for nephrologist referral and dialysis planning in SEA. METHODS: All patients with CKD visiting nine primary care clinics from 2010 to 2013 in Singapore were included and applied 4-variable KFRE equations incorporating age, sex, estimated glomerular filtration rate (eGFR), and albumin-to-creatinine ratio (ACR). ESKD onset within two and five years were acquired via linkage to the Singapore Renal Registry. A weighted Brier score (the squared difference between observed vs predicted ESKD risks), bias (the median difference between observed vs predicted ESKD risks) and precision (the interquartile range of the bias) were used to select the best-calibrated KFRE equation. RESULTS: The recalibrated KFRE (named Recalibrated Pooled KFRE SEA) performed better than existing and other recalibrated KFRE equations in terms of having a smaller Brier score (square root: 2.8% vs. 4.0–9.3% at 5 years; 2.0% vs. 6.1–9.1% at 2 years), less bias (2.5% vs. 3.3–5.2% at 5 years; 1.8% vs. 3.2–3.6% at 2 years), and improved precision (0.5% vs. 1.7–5.2% at 5 years; 0.5% vs. 3.8–4.2% at 2 years). Area under ROC curve for the Recalibrated Pooled KFRE SEA equations were 0.94 (95% confidence interval [CI]: 0.93 to 0.95) at 5 years and 0.96 (95% CI: 0.95 to 0.97) at 2 years. The optimally feasible KFRE thresholds were > 10–16% for 5-year nephrologist referral and > 45% for 2-year dialysis planning. Using the Recalibrated Pooled KFRE SEA, an estimated 82 and 89% ESKD events were included among 10% of subjects at highest estimated risk of ESKD at 5-year and 2-year, respectively. CONCLUSIONS: The Recalibrated Pooled KFRE SEA performs better than existing KFREs and warrants implementation in primary care settings in SEA. BioMed Central 2019-12-04 /pmc/articles/PMC6894117/ /pubmed/31801468 http://dx.doi.org/10.1186/s12882-019-1643-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Yeli
Nguyen, Francis Ngoc Hoang Long
Allen, John C.
Lew, Jasmine Quan Lan
Tan, Ngiap Chuan
Jafar, Tazeen H.
Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia
title Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia
title_full Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia
title_fullStr Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia
title_full_unstemmed Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia
title_short Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia
title_sort validation of the kidney failure risk equation for end-stage kidney disease in southeast asia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894117/
https://www.ncbi.nlm.nih.gov/pubmed/31801468
http://dx.doi.org/10.1186/s12882-019-1643-0
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