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Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility

INTRODUCTION: Kidney Disease: Improving Global Outcomes (KDIGO) 2012 guidelines classify chronic kidney disease (CKD) risk or prognosis using estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR). We assessed patient characteristics and outcomes according to the...

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Autores principales: James, Glen, Garcia Sanchez, Juan Jose, Carrero, Juan Jesus, Kumar, Supriya, Pecoits-Filho, Roberto, Heerspink, Hiddo J.L., Nolan, Stephen, Lam, Carolyn S.P., Chen, Hungta, Kanda, Eiichiro, Kashihara, Naoki, Arnold, Matthew, Kosiborod, Mikhail N., Lainscak, Mitja, Pollock, Carol, Wheeler, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458998/
https://www.ncbi.nlm.nih.gov/pubmed/36090504
http://dx.doi.org/10.1016/j.ekir.2022.05.033
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author James, Glen
Garcia Sanchez, Juan Jose
Carrero, Juan Jesus
Kumar, Supriya
Pecoits-Filho, Roberto
Heerspink, Hiddo J.L.
Nolan, Stephen
Lam, Carolyn S.P.
Chen, Hungta
Kanda, Eiichiro
Kashihara, Naoki
Arnold, Matthew
Kosiborod, Mikhail N.
Lainscak, Mitja
Pollock, Carol
Wheeler, David C.
author_facet James, Glen
Garcia Sanchez, Juan Jose
Carrero, Juan Jesus
Kumar, Supriya
Pecoits-Filho, Roberto
Heerspink, Hiddo J.L.
Nolan, Stephen
Lam, Carolyn S.P.
Chen, Hungta
Kanda, Eiichiro
Kashihara, Naoki
Arnold, Matthew
Kosiborod, Mikhail N.
Lainscak, Mitja
Pollock, Carol
Wheeler, David C.
author_sort James, Glen
collection PubMed
description INTRODUCTION: Kidney Disease: Improving Global Outcomes (KDIGO) 2012 guidelines classify chronic kidney disease (CKD) risk or prognosis using estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR). We assessed patient characteristics and outcomes according to the KDIGO classification, using data from DISCOVER CKD (NCT04034992). METHODS: Data were extracted from the US integrated Limited Claims and Electronic Health Record Dataset and TriNetX databases, and the UK Clinical Practice Research Datalink linked to Hospital Episode Statistics and Office for National Statistics databases. Eligible patients were aged ≥18 years with CKD, and identified by 2 consecutive eGFR measures (5 to <75 ml/min/1.73 m(2); ≥90 days apart [maximum 730]) from January 2008. Index date was the second eGFR measurement; patients were categorized using the UACR measure closest to the index. Outcomes included patient characteristics, eGFR or UACR measurement frequency, and clinical outcomes per baseline KDIGO classification. RESULTS: Across databases, only 8.6% of patients with 2 eGFR measures had ≥1 UACR measures. Among 123,807 eligible patients, prevalence of heart failure, hypertension, and type 2 diabetes increased with increasing albuminuria. Incidence rates of mortality and adverse cardiovascular and renal outcomes increased with declining baseline eGFR, and particularly with increasing albuminuria. Median number of eGFR and UACR tests per year post-index ranged from 1.6 to 2.5 and 0.5 to 0.6, respectively, across databases; there was no clear increase in UACR testing frequency following the KDIGO 2012 guidelines. CONCLUSION: Albuminuria monitoring is critical for optimal risk stratification in CKD, and our findings highlight an imperative for more regular UACR testing in clinical practice.
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spelling pubmed-94589982022-09-10 Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility James, Glen Garcia Sanchez, Juan Jose Carrero, Juan Jesus Kumar, Supriya Pecoits-Filho, Roberto Heerspink, Hiddo J.L. Nolan, Stephen Lam, Carolyn S.P. Chen, Hungta Kanda, Eiichiro Kashihara, Naoki Arnold, Matthew Kosiborod, Mikhail N. Lainscak, Mitja Pollock, Carol Wheeler, David C. Kidney Int Rep Clinical Research INTRODUCTION: Kidney Disease: Improving Global Outcomes (KDIGO) 2012 guidelines classify chronic kidney disease (CKD) risk or prognosis using estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR). We assessed patient characteristics and outcomes according to the KDIGO classification, using data from DISCOVER CKD (NCT04034992). METHODS: Data were extracted from the US integrated Limited Claims and Electronic Health Record Dataset and TriNetX databases, and the UK Clinical Practice Research Datalink linked to Hospital Episode Statistics and Office for National Statistics databases. Eligible patients were aged ≥18 years with CKD, and identified by 2 consecutive eGFR measures (5 to <75 ml/min/1.73 m(2); ≥90 days apart [maximum 730]) from January 2008. Index date was the second eGFR measurement; patients were categorized using the UACR measure closest to the index. Outcomes included patient characteristics, eGFR or UACR measurement frequency, and clinical outcomes per baseline KDIGO classification. RESULTS: Across databases, only 8.6% of patients with 2 eGFR measures had ≥1 UACR measures. Among 123,807 eligible patients, prevalence of heart failure, hypertension, and type 2 diabetes increased with increasing albuminuria. Incidence rates of mortality and adverse cardiovascular and renal outcomes increased with declining baseline eGFR, and particularly with increasing albuminuria. Median number of eGFR and UACR tests per year post-index ranged from 1.6 to 2.5 and 0.5 to 0.6, respectively, across databases; there was no clear increase in UACR testing frequency following the KDIGO 2012 guidelines. CONCLUSION: Albuminuria monitoring is critical for optimal risk stratification in CKD, and our findings highlight an imperative for more regular UACR testing in clinical practice. Elsevier 2022-06-08 /pmc/articles/PMC9458998/ /pubmed/36090504 http://dx.doi.org/10.1016/j.ekir.2022.05.033 Text en © 2022 International Society of Nephrology. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Research
James, Glen
Garcia Sanchez, Juan Jose
Carrero, Juan Jesus
Kumar, Supriya
Pecoits-Filho, Roberto
Heerspink, Hiddo J.L.
Nolan, Stephen
Lam, Carolyn S.P.
Chen, Hungta
Kanda, Eiichiro
Kashihara, Naoki
Arnold, Matthew
Kosiborod, Mikhail N.
Lainscak, Mitja
Pollock, Carol
Wheeler, David C.
Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility
title Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility
title_full Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility
title_fullStr Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility
title_full_unstemmed Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility
title_short Low Adherence to Kidney Disease: Improving Global Outcomes 2012 CKD Clinical Practice Guidelines Despite Clear Evidence of Utility
title_sort low adherence to kidney disease: improving global outcomes 2012 ckd clinical practice guidelines despite clear evidence of utility
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458998/
https://www.ncbi.nlm.nih.gov/pubmed/36090504
http://dx.doi.org/10.1016/j.ekir.2022.05.033
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