Natriuretic Peptide and High-Sensitivity Troponin for Cardiovascular Risk Prediction in Diabetes: The Atherosclerosis Risk in Communities (ARIC) Study

被引:55
|
作者
Gori, Mauro [1 ,2 ]
Gupta, Deepak K. [1 ,3 ]
Claggett, Brian [1 ]
Selvin, Elizabeth [4 ,5 ,6 ]
Folsom, Aaron R. [7 ]
Matsushita, Kunihiro [8 ]
Bello, Natalie A. [1 ,9 ]
Cheng, Susan [1 ]
Shah, Amil [1 ]
Skali, Hicham [1 ]
Vardeny, Orly [10 ]
Ni, Hanyu [11 ]
Ballantyne, Christie M. [12 ]
Astor, Brad C. [13 ,14 ]
Klein, Barbara E. [15 ]
Aguilar, David [16 ]
Solomon, Scott D. [1 ]
机构
[1] Brigham & Womens Hosp, Div Cardiovasc Med, 75 Francis St, Boston, MA 02115 USA
[2] Azienda Osped Papa Giovanni XXIII Hosp, Cardiovasc Dept, Bergamo, Italy
[3] Vanderbilt Univ, Med Ctr, Dept Med, Vanderbilt Heart & Vasc Inst, Nashville, TN USA
[4] Johns Hopkins Univ, Sch Med, Dept Med, Baltimore, MD 21205 USA
[5] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[6] Johns Hopkins Bloomberg Sch Publ Hlth, Welch Ctr Prevent Epidemiol & Clin Res, Baltimore, MD USA
[7] Univ Minnesota, Div Epidemiol & Community Hlth, Minneapolis, MN USA
[8] Johns Hopkins Univ, Dept Epidemiol, Baltimore, MD USA
[9] NewYork Presbyterian Columbia Univ, Med Ctr, New York, NY USA
[10] Univ Wisconsin, Sch Pharm, Dept Pharm, 425 N Charter St, Madison, WI 53706 USA
[11] Ctr Dis Control & Prevent, Natl Ctr Hlth Stat, Hyattsville, MD USA
[12] Baylor Coll Med, Dept Med, Sect Atherosclerosis & Vasc Med, Houston, TX 77030 USA
[13] Univ Wisconsin, Dept Med, Sch Med & Publ Hlth, Madison, WI USA
[14] Univ Wisconsin, Dept Populat Hlth Sci, Sch Med & Publ Hlth, Madison, WI USA
[15] Univ Wisconsin, Sch Med & Publ Hlth, Dept Ophthalmol & Visual Sci, Madison, WI USA
[16] Baylor Coll Med, Dept Med, Cardiol Sect, Houston, TX 77030 USA
基金
美国国家卫生研究院;
关键词
CORONARY-HEART-DISEASE; MYOCARDIAL-INFARCTION; NT-PROBNP; FAILURE; MORTALITY; MELLITUS; EVENTS; ADULTS; ASSOCIATION; POPULATION;
D O I
10.2337/dc15-1760
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE Cardiovascular disease (CVD) is the major cause of morbidity and mortality in diabetes; yet, heterogeneity in CVD risk has been suggested in diabetes, providing a compelling rationale for improving diabetes risk stratification. We hypothesized that N-terminal prohormone brain natriuretic peptide (NTproBNP) and high-sensitivity troponin T may enhance CVD risk stratification beyond commonly used markers of risk and that CVD risk is heterogeneous in diabetes. RESEARCH DESIGN AND METHODS Among 8,402 participants without prevalent CVD at visit 4 (1996-1998) of the Atherosclerosis Risk in Communities (ARIC) study there were 1,510 subjects with diabetes (mean age 63 years, 52% women, 31% African American, and 60% hypertensive). RESULTS Over a median follow-up of 13.1 years, there were 540 incident fatal/nonfatal CVD events (coronary heart disease, heart failure, and stroke). Both troponin T >= 14 ng/L (hazard ratio [HR] 1.96 [95% CI 1.57-2.46]) and NTproBNP >125 pg/mL (1.61 [1.29-1.99]) were independent predictors of incident CVD events at multivariable Cox proportional hazard models. Addition of circulating cardiac biomarkers to traditional risk factors, abnormal electrocardiogram (ECG), and conventional markers of diabetes complications including retinopathy, nephropathy, and peripheral arterial disease significantly improved CVD risk prediction (net reclassification index 0.16 [95% CI 0.07-0.22]). Compared with individuals without diabetes, subjects with diabetes had 1.6-fold higher adjusted risk of incident CVD. However, participants with diabetes with normal cardiac biomarkers and no conventional complications/abnormal ECG (n = 725 [48%]) were at low risk (HR 1.12 [95% CI 0.95-1.31]), while those with abnormal cardiac biomarkers, alone (n = 186 [12%]) or in combination with conventional complications/abnormal ECG (n = 243 [16%]), were at greater risk (1.99 [1.59-2.50] and 2.80 [2.34-3.35], respectively). CONCLUSIONS Abnormal levels of NTproBNP and troponin T may help to distinguish individuals with high diabetes risk from those with low diabetes risk, providing incremental risk prediction beyond commonly used markers of risk.
引用
收藏
页码:677 / 685
页数:9
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