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 in | JACC. Heart failure Vol. 9; no. 3; pp. 215 - 223 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.03.2021
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Subjects | |
Online Access | Get full text |
ISSN | 2213-1779 2213-1787 2213-1787 |
DOI | 10.1016/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.
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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. |
Author_xml | – sequence: 1 givenname: Ambarish surname: Pandey fullname: Pandey, Ambarish organization: Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA – sequence: 2 givenname: Muthiah surname: Vaduganathan fullname: Vaduganathan, Muthiah email: mvaduganathan@bwh.harvard.edu organization: Brigham and Women’s Hospital Heart and Vascular Center, Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA – sequence: 3 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 – sequence: 4 givenname: Colby surname: Ayers fullname: Ayers, Colby organization: Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA – sequence: 5 givenname: Christie M. surname: Ballantyne fullname: Ballantyne, Christie M. organization: Department of Medicine, Baylor College of Medicine, Houston, Texas, USA – sequence: 6 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 givenname: Mercedes 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 – sequence: 10 givenname: Sadiya S. surname: Khan fullname: Khan, Sadiya S. organization: Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA – sequence: 11 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. organization: Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA – 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 |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33422434$$D View this record in MEDLINE/PubMed |
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Keywords | pre-diabetes SGLT-2 inhibitors ASCVD biomarkers ECG SGLT-2i BP CVD NT-proBNP hs-cTnT risk prediction FPG diabetes HF LVH |
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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 |
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