Biomarker-Based Risk Prediction of Incident Heart Failure in Pre-Diabetes and Diabetes.


Journal

JACC. Heart failure
ISSN: 2213-1787
Titre abrégé: JACC Heart Fail
Pays: United States
ID NLM: 101598241

Informations de publication

Date de publication:
03 2021
Historique:
received: 27 08 2020
revised: 21 10 2020
accepted: 27 10 2020
pubmed: 11 1 2021
medline: 25 2 2023
entrez: 10 1 2021
Statut: ppublish

Résumé

This study evaluated the application of a biomarker-based risk score to identify individuals with dysglycemia who are at high risk for incident heart failure (HF) and to inform allocation of effective preventive interventions. Risk stratification tools to identify patients with diabetes and pre-diabetes at highest risk for HF are needed to inform cost-effective allocation of preventive therapies. Whether a biomarker score can meaningfully stratify HF risk is unknown. Participants free of cardiovascular disease from 3 cohort studies (ARIC [Atherosclerosis Risk In Communities], DHS [Dallas Heart Study], and MESA [Multi-Ethnic Study of Atherosclerosis]) were included. An integer-based biomarker score included high-sensitivity cardiac troponin T ≥6 ng/l, N-terminal pro-B-type natriuretic peptide ≥125 pg/ml, high-sensitivity C-reactive protein ≥3 mg/l, and left ventricular hypertrophy by electrocardiography, with 1 point for each abnormal parameter. The 5-year risk of HF was estimated among participants with diabetes and pre-diabetes across biomarker score groups (0 to 4). The primary analysis included 6,799 participants with dysglycemia (diabetes: 33.2%; pre-diabetes: 66.8%). The biomarker score demonstrated good discrimination and calibration for predicting 5- and 10-year HF risk among pre-diabetes and diabetes cohorts. The 5-year risk of HF among subjects with a biomarker score of ≤1 was low and comparable to participants with euglycemia (0.78%). The 5-year risk for HF increased in a graded fashion with an increasing biomarker score, with the highest risk noted among those with scores of ≥3 (diabetes: 12.0%; pre-diabetes: 7.8%). The estimated number of HF events that could be prevented using a sodium-glucose cotransporter-2 inhibitor per 1,000 treated subjects over 5 years was 11 for all subjects with diabetes and ranged from 4 in the biomarker score zero group to 44 in the biomarker score ≥3 group. Among adults with diabetes and pre-diabetes, a biomarker score can stratify HF risk and inform allocation of HF prevention therapies.

Sections du résumé

OBJECTIVES
This study evaluated the application of a biomarker-based risk score to identify individuals with dysglycemia who are at high risk for incident heart failure (HF) and to inform allocation of effective preventive interventions.
BACKGROUND
Risk stratification tools to identify patients with diabetes and pre-diabetes at highest risk for HF are needed to inform cost-effective allocation of preventive therapies. Whether a biomarker score can meaningfully stratify HF risk is unknown.
METHODS
Participants free of cardiovascular disease from 3 cohort studies (ARIC [Atherosclerosis Risk In Communities], DHS [Dallas Heart Study], and MESA [Multi-Ethnic Study of Atherosclerosis]) were included. An integer-based biomarker score included high-sensitivity cardiac troponin T ≥6 ng/l, N-terminal pro-B-type natriuretic peptide ≥125 pg/ml, high-sensitivity C-reactive protein ≥3 mg/l, and left ventricular hypertrophy by electrocardiography, with 1 point for each abnormal parameter. The 5-year risk of HF was estimated among participants with diabetes and pre-diabetes across biomarker score groups (0 to 4).
RESULTS
The primary analysis included 6,799 participants with dysglycemia (diabetes: 33.2%; pre-diabetes: 66.8%). The biomarker score demonstrated good discrimination and calibration for predicting 5- and 10-year HF risk among pre-diabetes and diabetes cohorts. The 5-year risk of HF among subjects with a biomarker score of ≤1 was low and comparable to participants with euglycemia (0.78%). The 5-year risk for HF increased in a graded fashion with an increasing biomarker score, with the highest risk noted among those with scores of ≥3 (diabetes: 12.0%; pre-diabetes: 7.8%). The estimated number of HF events that could be prevented using a sodium-glucose cotransporter-2 inhibitor per 1,000 treated subjects over 5 years was 11 for all subjects with diabetes and ranged from 4 in the biomarker score zero group to 44 in the biomarker score ≥3 group.
CONCLUSIONS
Among adults with diabetes and pre-diabetes, a biomarker score can stratify HF risk and inform allocation of HF prevention therapies.

Identifiants

pubmed: 33422434
pii: S2213-1779(20)30591-6
doi: 10.1016/j.jchf.2020.10.013
pii:
doi:

Substances chimiques

Biomarkers 0
Sodium-Glucose Transporter 2 Inhibitors 0
Troponin T 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

215-223

Subventions

Organisme : NIA NIH HHS
ID : R03 AG067960
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100005C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100006C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100007C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100008C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100009C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100010C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100011C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100012C
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001105
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL071739
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95159
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95160
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95161
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95162
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95163
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95164
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95165
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC95169
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002541
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL125247
Pays : United States

Informations de copyright

Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Funding Support and Author Disclosures Dr. Pandey was supported by the Texas Health Resources Clinical Scholarship, Gilead Sciences Research Scholar Program, and the National Institute of Aging GEMSSTAR Grant (1R03AG067960-01). The ARIC study is conducted as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN2 68201100006C, HHSN268201100007C, HHSN268201100008C, HHSN26820 1100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201 100012C). The Dallas Heart Study was funded by a grant from the Donald W. Reynolds Foundation. Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health (award number UL1TR001105) to the University of Texas Southwestern Medical Center. The Multi-Ethnic Study of Atherosclerosis was supported by the National Heart, Lung, and Blood Institute (R01 HL071739 and contracts N01-HC-95159, N01-HC-95160, N01-HC-95161, N01-HC-95162, N01-HC-95163, N01-HC-95164, N01-HC-95165, and N01-C-95169). Dr. Vaduganathan has been supported by the KL2/Catalyst Medical Research Investigator Training award from Harvard Catalyst (NIH/NCATS Award UL 1TR002541); and has served on advisory boards for Amgen, AstraZeneca, Baxter Healthcare, Bayer AG, Boehringer Ingelheim, Cytokinetics, and Relypsa. Dr. Pandey has served on the advisory board of Roche Diagnostics. Dr. Patel was supported by the National Heart, Lung, and Blood Institute T32 postdoctoral training grant (5T32HL125247-03). Dr. Kosiborod has received research grant support from AstraZeneca and Boehringer Ingelheim; has served as a consultant or on advisory boards for Amgen, Applied Therapeutics, Astra Zeneca, Bayer, Boehringer Ingelheim, Eli Lilly, Janssen, Merck (Diabetes), Novo Nordisk, Sanofi, and Vifor Pharma; has received other research support from AstraZeneca and honorarium from AstraZeneca, Boehringer Ingelheim, and Novo Nordisk. Dr. de Lemos has received grant support from Roche Diagnostics and Abbott Diagnostics; and has received consulting fees from Roche Diagnostics, Abbott Diagnostics, Ortho Clinical Diagnostics, Siemen’s Health Care Diagnostics, Quidel Cardiovascular, Inc, Novo Nordisk, Amgen, Regeneron, Eli Lilly, and Esperion. Drs. DeFilippi and de Lemos hold a patent pending (U.S. Patent Number: 15/309,754) entitled: “Methods for Assessing Differential Risk for Developing Heart Failure.” Dr. McGuire has received personal fees for trial leadership from GlaxoSmithKline, Janssen, Lexicon, AstraZeneca, CSL Behring, Sanofi, Boehringer Ingelheim, Merck & Co, Pfizer, Novo Nordisk, Eisai Inc., Esperion, and Lilly USA; and has received personal consultancy fees from AstraZeneca, Lilly USA, Boehringer Ingelheim, Merck & Co, Novo Nordisk, Metavant, Applied Therapeutics, Sanofi, and Afimmune. Dr. Everett has received personal consultancy fees from Amarin, Amgen, Gilead, FDA, Merck & Co., National Institute of Diabetes and Digestive and Kidney Diseases, and Roche Diagnostics outside the present work; and has received significant investigator-initiated grant funding from the National Institute of Heart, Lung, and Blood Institute outside the present work. A full list of participating MESA investigators and institutions can be found at http://www.mesa-nhlbi.org.

Auteurs

Ambarish Pandey (A)

Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA.

Muthiah Vaduganathan (M)

Brigham and Women's Hospital Heart and Vascular Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: mvaduganathan@bwh.harvard.edu.

Kershaw V Patel (KV)

Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA; Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas, USA.

Colby Ayers (C)

Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA.

Christie M Ballantyne (CM)

Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.

Mikhail N Kosiborod (MN)

Saint Luke's Mid America Heart Institute and University of Missouri-Kansas City, Kansas City, Missouri, USA.

Mercedes Carnethon (M)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Christopher DeFilippi (C)

Inova Heart and Vascular Institute, Falls Church, Virginia, USA.

Darren K McGuire (DK)

Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA.

Sadiya S Khan (SS)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Melissa C Caughey (MC)

Joint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, North Carolina, USA.

James A de Lemos (JA)

Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA.

Brendan M Everett (BM)

Divisions of Cardiovascular and Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

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