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

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-diab...

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Published inJACC. Heart failure Vol. 9; no. 3; pp. 215 - 223
Main Authors Pandey, Ambarish, Vaduganathan, Muthiah, Patel, Kershaw V., Ayers, Colby, Ballantyne, Christie M., Kosiborod, Mikhail N., Carnethon, Mercedes, DeFilippi, Christopher, McGuire, Darren K., Khan, Sadiya S., Caughey, Melissa C., de Lemos, James A., Everett, Brendan M.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.03.2021
Subjects
Online AccessGet full text
ISSN2213-1779
2213-1787
2213-1787
DOI10.1016/j.jchf.2020.10.013

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Abstract 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. [Display omitted]
AbstractList 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. [Display omitted]
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.OBJECTIVESThis 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.BACKGROUNDRisk 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).METHODSParticipants 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.RESULTSThe 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.CONCLUSIONSAmong adults with diabetes and pre-diabetes, a biomarker score can stratify HF risk and inform allocation of HF prevention therapies.
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.
Author Ballantyne, Christie M.
de Lemos, James A.
Carnethon, Mercedes
Everett, Brendan M.
Ayers, Colby
Pandey, Ambarish
Khan, Sadiya S.
McGuire, Darren K.
Kosiborod, Mikhail N.
DeFilippi, Christopher
Vaduganathan, Muthiah
Patel, Kershaw V.
Caughey, Melissa C.
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  surname: Vaduganathan
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  email: mvaduganathan@bwh.harvard.edu
  organization: Brigham and Women’s Hospital Heart and Vascular Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
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  givenname: Kershaw V.
  surname: Patel
  fullname: Patel, Kershaw V.
  organization: Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA
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  organization: Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA
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  organization: Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
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  givenname: Mikhail N.
  surname: Kosiborod
  fullname: Kosiborod, Mikhail N.
  organization: Saint Luke’s Mid America Heart Institute and University of Missouri-Kansas City, Kansas City, Missouri, USA
– sequence: 7
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  surname: Carnethon
  fullname: Carnethon, Mercedes
  organization: Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
– sequence: 8
  givenname: Christopher
  surname: DeFilippi
  fullname: DeFilippi, Christopher
  organization: Inova Heart and Vascular Institute, Falls Church, Virginia, USA
– sequence: 9
  givenname: Darren K.
  surname: McGuire
  fullname: McGuire, Darren K.
  organization: Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA
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  givenname: Sadiya S.
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  givenname: Melissa C.
  surname: Caughey
  fullname: Caughey, Melissa C.
  organization: Joint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, North Carolina, USA
– sequence: 12
  givenname: James A.
  surname: de Lemos
  fullname: de Lemos, James A.
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– sequence: 13
  givenname: Brendan M.
  surname: Everett
  fullname: Everett, Brendan M.
  organization: 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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Issue 3
Keywords pre-diabetes
SGLT-2 inhibitors
ASCVD
biomarkers
ECG
SGLT-2i
BP
CVD
NT-proBNP
hs-cTnT
risk prediction
FPG
diabetes
HF
LVH
Language English
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Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
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Snippet 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...
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SubjectTerms Adult
Biomarkers
diabetes
Diabetes Mellitus, Type 2 - epidemiology
Heart Failure - epidemiology
Humans
pre-diabetes
Prediabetic State - diagnosis
Prediabetic State - epidemiology
Risk Factors
risk prediction
SGLT-2 inhibitors
Sodium-Glucose Transporter 2 Inhibitors
Troponin T
Title Biomarker-Based Risk Prediction of Incident Heart Failure in Pre-Diabetes and Diabetes
URI https://www.clinicalkey.com/#!/content/1-s2.0-S2213177920305916
https://dx.doi.org/10.1016/j.jchf.2020.10.013
https://www.ncbi.nlm.nih.gov/pubmed/33422434
https://www.proquest.com/docview/2476844891
Volume 9
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