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Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers

BACKGROUND: Besides improving glucose control, sodium-glucose co-transporter 2 inhibition with dapagliflozin reduces blood pressure, body weight and urinary albumin:creatinine ratio (UACR) in patients with type 2 diabetes (T2DM). The parameter response efficacy (PRE) score was developed to predict h...

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Autores principales: Idzerda, Nienke M A, Stefansson, Bergur V, Pena, Michelle J, Sjostrom, David C, Wheeler, David C, Heerspink, Hiddo J L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473803/
https://www.ncbi.nlm.nih.gov/pubmed/31005993
http://dx.doi.org/10.1093/ndt/gfz064
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author Idzerda, Nienke M A
Stefansson, Bergur V
Pena, Michelle J
Sjostrom, David C
Wheeler, David C
Heerspink, Hiddo J L
author_facet Idzerda, Nienke M A
Stefansson, Bergur V
Pena, Michelle J
Sjostrom, David C
Wheeler, David C
Heerspink, Hiddo J L
author_sort Idzerda, Nienke M A
collection PubMed
description BACKGROUND: Besides improving glucose control, sodium-glucose co-transporter 2 inhibition with dapagliflozin reduces blood pressure, body weight and urinary albumin:creatinine ratio (UACR) in patients with type 2 diabetes (T2DM). The parameter response efficacy (PRE) score was developed to predict how short-term drug effects on cardiovascular risk markers translate into long-term changes in clinical outcomes. We applied the PRE score to clinical trials of dapagliflozin to model the effect of the drug on kidney and heart failure (HF) outcomes in patients with T2DM and impaired kidney function. METHODS: The relationships between multiple risk markers and long-term outcome were determined in a background population of patients with T2DM with a multivariable Cox model. These relationships were then applied to short-term changes in risk markers observed in a pooled database of dapagliflozin trials (n = 7) that recruited patients with albuminuria to predict the drug-induced changes to kidney and HF outcomes. RESULTS: A total of 132 and 350 patients had UACR >200 mg/g and >30 mg/g at baseline, respectively, and were selected for analysis. The PRE score predicted a risk change for kidney events of −40.8% [95% confidence interval (CI) −51.7 to −29.4) and −40.4% (95% CI −48.4 to −31.1) with dapagliflozin 10 mg compared with placebo for the UACR >200 mg/g and >30 mg/g subgroups. The predicted change in risk for HF events was −27.3% (95% CI −47.7 to −5.1) and −21.2% (95% CI −35.0 to −7.8), respectively. Simulation analyses showed that even with a smaller albuminuria-lowering effect of dapagliflozin (10% instead of the observed 35% in both groups), the estimated kidney risk reduction was still 26.5 and 26.8%, respectively. CONCLUSIONS: The PRE score predicted clinically meaningful reductions in kidney and HF events associated with dapagliflozin therapy in patients with diabetic kidney disease. These results support a large long-term outcome trial in this population to confirm the benefits of the drug on these endpoints.
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spelling pubmed-74738032020-09-09 Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers Idzerda, Nienke M A Stefansson, Bergur V Pena, Michelle J Sjostrom, David C Wheeler, David C Heerspink, Hiddo J L Nephrol Dial Transplant ORIGINAL ARTICLES BACKGROUND: Besides improving glucose control, sodium-glucose co-transporter 2 inhibition with dapagliflozin reduces blood pressure, body weight and urinary albumin:creatinine ratio (UACR) in patients with type 2 diabetes (T2DM). The parameter response efficacy (PRE) score was developed to predict how short-term drug effects on cardiovascular risk markers translate into long-term changes in clinical outcomes. We applied the PRE score to clinical trials of dapagliflozin to model the effect of the drug on kidney and heart failure (HF) outcomes in patients with T2DM and impaired kidney function. METHODS: The relationships between multiple risk markers and long-term outcome were determined in a background population of patients with T2DM with a multivariable Cox model. These relationships were then applied to short-term changes in risk markers observed in a pooled database of dapagliflozin trials (n = 7) that recruited patients with albuminuria to predict the drug-induced changes to kidney and HF outcomes. RESULTS: A total of 132 and 350 patients had UACR >200 mg/g and >30 mg/g at baseline, respectively, and were selected for analysis. The PRE score predicted a risk change for kidney events of −40.8% [95% confidence interval (CI) −51.7 to −29.4) and −40.4% (95% CI −48.4 to −31.1) with dapagliflozin 10 mg compared with placebo for the UACR >200 mg/g and >30 mg/g subgroups. The predicted change in risk for HF events was −27.3% (95% CI −47.7 to −5.1) and −21.2% (95% CI −35.0 to −7.8), respectively. Simulation analyses showed that even with a smaller albuminuria-lowering effect of dapagliflozin (10% instead of the observed 35% in both groups), the estimated kidney risk reduction was still 26.5 and 26.8%, respectively. CONCLUSIONS: The PRE score predicted clinically meaningful reductions in kidney and HF events associated with dapagliflozin therapy in patients with diabetic kidney disease. These results support a large long-term outcome trial in this population to confirm the benefits of the drug on these endpoints. Oxford University Press 2019-04-21 /pmc/articles/PMC7473803/ /pubmed/31005993 http://dx.doi.org/10.1093/ndt/gfz064 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle ORIGINAL ARTICLES
Idzerda, Nienke M A
Stefansson, Bergur V
Pena, Michelle J
Sjostrom, David C
Wheeler, David C
Heerspink, Hiddo J L
Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers
title Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers
title_full Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers
title_fullStr Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers
title_full_unstemmed Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers
title_short Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers
title_sort prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473803/
https://www.ncbi.nlm.nih.gov/pubmed/31005993
http://dx.doi.org/10.1093/ndt/gfz064
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