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

被引:81
|
作者
Pandey, Ambarish [1 ,2 ]
Vaduganathan, Muthiah [3 ]
Patel, Kershaw, V [1 ,2 ,4 ]
Ayers, Colby [1 ,2 ]
Ballantyne, Christie M. [5 ]
Kosiborod, Mikhail N. [6 ,7 ]
Carnethon, Mercedes [8 ]
DeFilippi, Christopher [9 ]
McGuire, Darren K. [1 ,2 ]
Khan, Sadiya S. [8 ]
Caughey, Melissa C. [10 ,11 ]
de Lemos, James A. [1 ,2 ]
Everett, Brendan M. [12 ,13 ,14 ]
机构
[1] Univ Texas Southwestern Med Ctr Dallas, Dept Internal Med, Div Cardiol, Dallas, TX USA
[2] Parkland Hlth & Hosp Syst, Dallas, TX USA
[3] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Heart & Vasc Ctr, Boston, MA 02115 USA
[4] Houston Methodist DeBakey Heart & Vasc Ctr, Dept Cardiol, Houston, TX USA
[5] Baylor Coll Med, Dept Med, Houston, TX USA
[6] St Lukes Mid Amer Heart Inst, Kansas City, MO USA
[7] Univ Missouri, Kansas City, MO 64110 USA
[8] Northwestern Univ, Dept Prevent Med, Feinberg Sch Med, Chicago, IL USA
[9] Inova Heart & Vasc Inst, Falls Church, VA USA
[10] Univ N Carolina, Joint Dept Biomed Engn, Chapel Hill, NC USA
[11] North Carolina State Univ, Chapel Hill, NC USA
[12] Brigham & Womens Hosp, Dept Med, Div Cardiovasc, Boston, MA USA
[13] Brigham & Womens Hosp, Dept Med, Div Prevent Med, Boston, MA USA
[14] Harvard Med Sch, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
biomarkers; diabetes; pre-diabetes; risk prediction; SGLT-2; inhibitors; ATHEROSCLEROSIS RISK; CARDIOVASCULAR RISK; POPULATION; MORTALITY; GLUCOSE; OUTCOMES;
D O I
10.1016/j.jchf.2020.10.013
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVES This study evaluated the application of a biomarker-based risk score to identify individuals with dys-glycemia 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. (c) 2021 by the American College of Cardiology Foundation.
引用
收藏
页码:215 / 223
页数:9
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