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NT‐proBNP by Itself Predicts Death and Cardiovascular Events in High‐Risk Patients With Type 2 Diabetes Mellitus

BACKGROUND: NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) improves the discriminatory ability of risk‐prediction models in type 2 diabetes mellitus (T2DM) but is not yet used in clinical practice. We assessed the discriminatory strength of NT‐proBNP by itself for death and cardiovascular eve...

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Autores principales: Malachias, Marcus V. B., Jhund, Pardeep S., Claggett, Brian L., Wijkman, Magnus O., Bentley‐Lewis, Rhonda, Chaturvedi, Nishi, Desai, Akshay S., Haffner, Steven M., Parving, Hans‐Henrik, Prescott, Margaret F., Solomon, Scott D., De Zeeuw, Dick, McMurray, John J. V., Pfeffer, Marc A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792415/
https://www.ncbi.nlm.nih.gov/pubmed/32964800
http://dx.doi.org/10.1161/JAHA.120.017462
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author Malachias, Marcus V. B.
Jhund, Pardeep S.
Claggett, Brian L.
Wijkman, Magnus O.
Bentley‐Lewis, Rhonda
Chaturvedi, Nishi
Desai, Akshay S.
Haffner, Steven M.
Parving, Hans‐Henrik
Prescott, Margaret F.
Solomon, Scott D.
De Zeeuw, Dick
McMurray, John J. V.
Pfeffer, Marc A.
author_facet Malachias, Marcus V. B.
Jhund, Pardeep S.
Claggett, Brian L.
Wijkman, Magnus O.
Bentley‐Lewis, Rhonda
Chaturvedi, Nishi
Desai, Akshay S.
Haffner, Steven M.
Parving, Hans‐Henrik
Prescott, Margaret F.
Solomon, Scott D.
De Zeeuw, Dick
McMurray, John J. V.
Pfeffer, Marc A.
author_sort Malachias, Marcus V. B.
collection PubMed
description BACKGROUND: NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) improves the discriminatory ability of risk‐prediction models in type 2 diabetes mellitus (T2DM) but is not yet used in clinical practice. We assessed the discriminatory strength of NT‐proBNP by itself for death and cardiovascular events in high‐risk patients with T2DM. METHODS AND RESULTS: Cox proportional hazards were used to create a base model formed by 20 variables. The discriminatory ability of the base model was compared with that of NT‐proBNP alone and with NT‐proBNP added, using C‐statistics. We studied 5509 patients (with complete data) of 8561 patients with T2DM and cardiovascular and/or chronic kidney disease who were enrolled in the ALTITUDE (Aliskiren in Type 2 Diabetes Using Cardiorenal Endpoints) trial. During a median 2.6‐year follow‐up period, 469 patients died and 768 had a cardiovascular composite outcome (cardiovascular death, resuscitated cardiac arrest, nonfatal myocardial infarction, stroke, or heart failure hospitalization). NT‐proBNP alone was as discriminatory as the base model for predicting death (C‐statistic, 0.745 versus 0.744, P=0.95) and the cardiovascular composite outcome (C‐statistic, 0.723 versus 0.731, P=0.37). When NT‐proBNP was added, it increased the predictive ability of the base model for death (C‐statistic, 0.779 versus 0.744, P<0.001) and for cardiovascular composite outcome (C‐statistic, 0.763 versus 0.731, P<0.001). CONCLUSIONS: In high‐risk patients with T2DM, NT‐proBNP by itself demonstrated discriminatory ability similar to a multivariable model in predicting both death and cardiovascular events and should be considered for risk stratification. REGISTRATION: URL: https://www.clini​caltr​ials.gov; Unique identifier: NCT00549757.
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spelling pubmed-77924152021-01-15 NT‐proBNP by Itself Predicts Death and Cardiovascular Events in High‐Risk Patients With Type 2 Diabetes Mellitus Malachias, Marcus V. B. Jhund, Pardeep S. Claggett, Brian L. Wijkman, Magnus O. Bentley‐Lewis, Rhonda Chaturvedi, Nishi Desai, Akshay S. Haffner, Steven M. Parving, Hans‐Henrik Prescott, Margaret F. Solomon, Scott D. De Zeeuw, Dick McMurray, John J. V. Pfeffer, Marc A. J Am Heart Assoc Original Research BACKGROUND: NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) improves the discriminatory ability of risk‐prediction models in type 2 diabetes mellitus (T2DM) but is not yet used in clinical practice. We assessed the discriminatory strength of NT‐proBNP by itself for death and cardiovascular events in high‐risk patients with T2DM. METHODS AND RESULTS: Cox proportional hazards were used to create a base model formed by 20 variables. The discriminatory ability of the base model was compared with that of NT‐proBNP alone and with NT‐proBNP added, using C‐statistics. We studied 5509 patients (with complete data) of 8561 patients with T2DM and cardiovascular and/or chronic kidney disease who were enrolled in the ALTITUDE (Aliskiren in Type 2 Diabetes Using Cardiorenal Endpoints) trial. During a median 2.6‐year follow‐up period, 469 patients died and 768 had a cardiovascular composite outcome (cardiovascular death, resuscitated cardiac arrest, nonfatal myocardial infarction, stroke, or heart failure hospitalization). NT‐proBNP alone was as discriminatory as the base model for predicting death (C‐statistic, 0.745 versus 0.744, P=0.95) and the cardiovascular composite outcome (C‐statistic, 0.723 versus 0.731, P=0.37). When NT‐proBNP was added, it increased the predictive ability of the base model for death (C‐statistic, 0.779 versus 0.744, P<0.001) and for cardiovascular composite outcome (C‐statistic, 0.763 versus 0.731, P<0.001). CONCLUSIONS: In high‐risk patients with T2DM, NT‐proBNP by itself demonstrated discriminatory ability similar to a multivariable model in predicting both death and cardiovascular events and should be considered for risk stratification. REGISTRATION: URL: https://www.clini​caltr​ials.gov; Unique identifier: NCT00549757. John Wiley and Sons Inc. 2020-09-23 /pmc/articles/PMC7792415/ /pubmed/32964800 http://dx.doi.org/10.1161/JAHA.120.017462 Text en © 2020 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
Malachias, Marcus V. B.
Jhund, Pardeep S.
Claggett, Brian L.
Wijkman, Magnus O.
Bentley‐Lewis, Rhonda
Chaturvedi, Nishi
Desai, Akshay S.
Haffner, Steven M.
Parving, Hans‐Henrik
Prescott, Margaret F.
Solomon, Scott D.
De Zeeuw, Dick
McMurray, John J. V.
Pfeffer, Marc A.
NT‐proBNP by Itself Predicts Death and Cardiovascular Events in High‐Risk Patients With Type 2 Diabetes Mellitus
title NT‐proBNP by Itself Predicts Death and Cardiovascular Events in High‐Risk Patients With Type 2 Diabetes Mellitus
title_full NT‐proBNP by Itself Predicts Death and Cardiovascular Events in High‐Risk Patients With Type 2 Diabetes Mellitus
title_fullStr NT‐proBNP by Itself Predicts Death and Cardiovascular Events in High‐Risk Patients With Type 2 Diabetes Mellitus
title_full_unstemmed NT‐proBNP by Itself Predicts Death and Cardiovascular Events in High‐Risk Patients With Type 2 Diabetes Mellitus
title_short NT‐proBNP by Itself Predicts Death and Cardiovascular Events in High‐Risk Patients With Type 2 Diabetes Mellitus
title_sort nt‐probnp by itself predicts death and cardiovascular events in high‐risk patients with type 2 diabetes mellitus
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792415/
https://www.ncbi.nlm.nih.gov/pubmed/32964800
http://dx.doi.org/10.1161/JAHA.120.017462
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