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

Author:

Malachias Marcus V. B.12ORCID,Jhund Pardeep S.3ORCID,Claggett Brian L.1,Wijkman Magnus O.14ORCID,Bentley‐Lewis Rhonda5,Chaturvedi Nishi6,Desai Akshay S.1,Haffner Steven M.7,Parving Hans‐Henrik8,Prescott Margaret F.9,Solomon Scott D.1,De Zeeuw Dick10,McMurray John J. V.3ORCID,Pfeffer Marc A.1ORCID

Affiliation:

1. Cardiovascular Division Brigham & Women’s Hospital Harvard Medical School Boston MA

2. Faculdade Ciências Médicas de Minas Gerais Fundação Educacional Lucas Machado Belo Horizonte Minas Gerais Brazil

3. Institute of Cardiovascular and Medical Sciences University of Glasgow United Kingdom

4. Department of Internal Medicine and Department of Health, Medicine and Caring Sciences Linköping University Norrköping Sweden

5. Massachusetts General Hospital Harvard Medical School Boston MA

6. MRC Unit for Lifelong Health and Ageing at UCL Institute for Cardiovascular Sciences University College London London United Kingdom

7. Department of Medicine and Clinical Epidemiology University of Texas Health Science Center San Antonio TX

8. Department of Medical Endocrinology Rigshospitalet University of Copenhagen Denmark

9. Novartis Pharma New Jersey NJ

10. Department of Clinical Pharmacy and Pharmacology University Medical Center Groningen University of Groningen the Netherlands

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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