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Risk Assessment of Kidney Disease Progression and Efficacy of SGLT2 Inhibition in Patients With Type 2 Diabetes

OBJECTIVE: To develop a risk assessment tool to identify patients with type 2 diabetes (T2D) at higher risk for kidney disease progression and who might benefit more from sodium–glucose cotransporter 2 (SGLT2) inhibition. RESEARCH DESIGN AND METHODS: A total of 41,204 patients with T2D from four Thr...

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Autores principales: Moura, Filipe A., Berg, David D., Bellavia, Andrea, Dwyer, Jamie P., Mosenzon, Ofri, Scirica, Benjamin M., Wiviott, Stephen D., Bhatt, Deepak L., Raz, Itamar, Feinberg, Mark W., Braunwald, Eugene, Morrow, David A., Sabatine, Marc S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516252/
https://www.ncbi.nlm.nih.gov/pubmed/37556796
http://dx.doi.org/10.2337/dc23-0492
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author Moura, Filipe A.
Berg, David D.
Bellavia, Andrea
Dwyer, Jamie P.
Mosenzon, Ofri
Scirica, Benjamin M.
Wiviott, Stephen D.
Bhatt, Deepak L.
Raz, Itamar
Feinberg, Mark W.
Braunwald, Eugene
Morrow, David A.
Sabatine, Marc S.
author_facet Moura, Filipe A.
Berg, David D.
Bellavia, Andrea
Dwyer, Jamie P.
Mosenzon, Ofri
Scirica, Benjamin M.
Wiviott, Stephen D.
Bhatt, Deepak L.
Raz, Itamar
Feinberg, Mark W.
Braunwald, Eugene
Morrow, David A.
Sabatine, Marc S.
author_sort Moura, Filipe A.
collection PubMed
description OBJECTIVE: To develop a risk assessment tool to identify patients with type 2 diabetes (T2D) at higher risk for kidney disease progression and who might benefit more from sodium–glucose cotransporter 2 (SGLT2) inhibition. RESEARCH DESIGN AND METHODS: A total of 41,204 patients with T2D from four Thrombolysis In Myocardial Infarction (TIMI) clinical trials were divided into derivation (70%) and validation cohorts (30%). Candidate predictors of kidney disease progression (composite of sustained ≥40% decline in estimated glomerular filtration rate [eGFR], end-stage kidney disease, or kidney death) were selected with multivariable Cox regression. Efficacy of dapagliflozin was assessed by risk categories (low: <0.5%; intermediate: 0.5 to <2%; high: ≥2%) in Dapagliflozin Effect on Cardiovascular Events (DECLARE)-TIMI 58. RESULTS: There were 695 events over a median follow-up of 2.4 years. The final model comprised eight independent predictors of kidney disease progression: atherosclerotic cardiovascular disease, heart failure, systolic blood pressure, T2D duration, glycated hemoglobin, eGFR, urine albumin-to-creatinine ratio, and hemoglobin. The c-indices were 0.798 (95% CI, 0.774–0.821) and 0.798 (95% CI, 0.765–0.831) in the derivation and validation cohort, respectively. The calibration plot slope (deciles of predicted vs. observed risk) was 0.98 (95% CI, 0.93–1.04) in the validation cohort. Whereas relative risk reductions with dapagliflozin did not differ across risk categories, there was greater absolute risk reduction in patients with higher baseline risk, with a 3.5% absolute risk reduction in kidney disease progression at 4 years in the highest risk group (≥1%/year). Results were similar with the 2022 Chronic Kidney Disease Prognosis Consortium risk prediction model. CONCLUSIONS: Risk models for kidney disease progression can be applied in patients with T2D to stratify risk and identify those who experience a greater magnitude of benefit from SGLT2 inhibition.
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spelling pubmed-105162522023-09-23 Risk Assessment of Kidney Disease Progression and Efficacy of SGLT2 Inhibition in Patients With Type 2 Diabetes Moura, Filipe A. Berg, David D. Bellavia, Andrea Dwyer, Jamie P. Mosenzon, Ofri Scirica, Benjamin M. Wiviott, Stephen D. Bhatt, Deepak L. Raz, Itamar Feinberg, Mark W. Braunwald, Eugene Morrow, David A. Sabatine, Marc S. Diabetes Care Original Article OBJECTIVE: To develop a risk assessment tool to identify patients with type 2 diabetes (T2D) at higher risk for kidney disease progression and who might benefit more from sodium–glucose cotransporter 2 (SGLT2) inhibition. RESEARCH DESIGN AND METHODS: A total of 41,204 patients with T2D from four Thrombolysis In Myocardial Infarction (TIMI) clinical trials were divided into derivation (70%) and validation cohorts (30%). Candidate predictors of kidney disease progression (composite of sustained ≥40% decline in estimated glomerular filtration rate [eGFR], end-stage kidney disease, or kidney death) were selected with multivariable Cox regression. Efficacy of dapagliflozin was assessed by risk categories (low: <0.5%; intermediate: 0.5 to <2%; high: ≥2%) in Dapagliflozin Effect on Cardiovascular Events (DECLARE)-TIMI 58. RESULTS: There were 695 events over a median follow-up of 2.4 years. The final model comprised eight independent predictors of kidney disease progression: atherosclerotic cardiovascular disease, heart failure, systolic blood pressure, T2D duration, glycated hemoglobin, eGFR, urine albumin-to-creatinine ratio, and hemoglobin. The c-indices were 0.798 (95% CI, 0.774–0.821) and 0.798 (95% CI, 0.765–0.831) in the derivation and validation cohort, respectively. The calibration plot slope (deciles of predicted vs. observed risk) was 0.98 (95% CI, 0.93–1.04) in the validation cohort. Whereas relative risk reductions with dapagliflozin did not differ across risk categories, there was greater absolute risk reduction in patients with higher baseline risk, with a 3.5% absolute risk reduction in kidney disease progression at 4 years in the highest risk group (≥1%/year). Results were similar with the 2022 Chronic Kidney Disease Prognosis Consortium risk prediction model. CONCLUSIONS: Risk models for kidney disease progression can be applied in patients with T2D to stratify risk and identify those who experience a greater magnitude of benefit from SGLT2 inhibition. American Diabetes Association 2023-10 2023-08-09 /pmc/articles/PMC10516252/ /pubmed/37556796 http://dx.doi.org/10.2337/dc23-0492 Text en © 2023 by the American Diabetes Association https://www.diabetesjournals.org/journals/pages/licenseReaders may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license.
spellingShingle Original Article
Moura, Filipe A.
Berg, David D.
Bellavia, Andrea
Dwyer, Jamie P.
Mosenzon, Ofri
Scirica, Benjamin M.
Wiviott, Stephen D.
Bhatt, Deepak L.
Raz, Itamar
Feinberg, Mark W.
Braunwald, Eugene
Morrow, David A.
Sabatine, Marc S.
Risk Assessment of Kidney Disease Progression and Efficacy of SGLT2 Inhibition in Patients With Type 2 Diabetes
title Risk Assessment of Kidney Disease Progression and Efficacy of SGLT2 Inhibition in Patients With Type 2 Diabetes
title_full Risk Assessment of Kidney Disease Progression and Efficacy of SGLT2 Inhibition in Patients With Type 2 Diabetes
title_fullStr Risk Assessment of Kidney Disease Progression and Efficacy of SGLT2 Inhibition in Patients With Type 2 Diabetes
title_full_unstemmed Risk Assessment of Kidney Disease Progression and Efficacy of SGLT2 Inhibition in Patients With Type 2 Diabetes
title_short Risk Assessment of Kidney Disease Progression and Efficacy of SGLT2 Inhibition in Patients With Type 2 Diabetes
title_sort risk assessment of kidney disease progression and efficacy of sglt2 inhibition in patients with type 2 diabetes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516252/
https://www.ncbi.nlm.nih.gov/pubmed/37556796
http://dx.doi.org/10.2337/dc23-0492
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