Risk Stratification With the Use of Coronary Computed Tomographic Angiography in Patients With Nonobstructive Coronary Artery Disease

被引:22
|
作者
Taron, Jana [1 ,2 ]
Foldyna, Borek [1 ]
Mayrhofer, Thomas [1 ,3 ]
Osborne, Michael T. [1 ,4 ]
Meyersohn, Nandini [1 ]
Bittner, Daniel O. [5 ]
Puchner, Stefan B. [1 ,6 ]
Emami, Hamed [7 ]
Lu, Michael T. [1 ]
Ferencik, Maros [1 ,8 ]
Pagidipati, Neha J. [9 ]
Douglas, Pamela S. [9 ]
Hoffmann, Udo [1 ]
机构
[1] Harvard Med Sch, Cardiovasc Imaging Res Ctr, Massachusetts Gen Hosp, Boston, MA 02115 USA
[2] Univ Hosp Freiburg, Dept Radiol, Freiburg, Germany
[3] Stralsund Univ Appl Sci, Sch Business Studies, Stralsund, Germany
[4] Harvard Med Sch, Massachusetts Gen Hosp, Cardiol Div, Boston, MA 02115 USA
[5] Friedrich Alexander Univ Erlangen Nurnberg, Univ Hosp Erlangen, Dept Cardiol, Erlangen, Germany
[6] Med Sch Vienna, Dept Biomed Imaging & Image Guided Therapy, Vienna, Austria
[7] Univ Michigan, Cardiovasc Ctr, Ann Arbor, MI 48109 USA
[8] Oregon Hlth & Sci Univ, Knight Cardiovasc Inst, Portland, OR 97201 USA
[9] Duke Univ, Duke Clin Res Inst, Sch Med, Durham, NC USA
基金
美国国家卫生研究院;
关键词
computed tomographic angiography; nonobstructive coronary artery disease; risk stratification; STABLE CHEST-PAIN; PROGNOSTIC VALUE; CT ANGIOGRAPHY; ATHEROSCLEROTIC PLAQUE;
D O I
10.1016/j.jcmg.2021.03.019
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVES The purpose of this study was to develop a risk prediction model for patients with nonobstructive CAD. BACKGROUND Among stable chest pain patients, most cardiovascular (CV) events occur in those with nonobstructive coronary artery disease (CAD). Thus, developing tailored risk prediction approaches in this group of patients, including CV risk factors and CAD characteristics, is needed. METHODS In PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) computed tomographic angiography patients, a core laboratory assessed prevalence of CAD (nonobstructive 1% to 49% left main or 1% to 69% stenosis any coronary artery), degree of stenosis (minimal: 1% to 29%; mild: 30% to 49%; or moderate: 50% to 69%), high-risk plaque (HRP) features (positive remodeling, low-attenuation plaque, and napkin-ring sign), segment involvement score (SIS), and coronary artery calcium (CAC). The primary end point was an adjudicated composite of unstable angina pectoris, nonfatal myocardial infarction, and death. Cox regression analysis determined independent predictors in nonobstructive CAD. RESULTS Of 2,890 patients (age 61.7 years, 46% women) with any CAD, 90.4% (n = 2,614) had nonobstructive CAD (mean age 61.6 yrs, 46% women, atherosclerotic cardiovascular disease [ASCVD] risk 16.2%). Composite events were independently predicted by ASCVD risk (hazard ratio [HR]: 1.03; p = 0.001), degree of stenosis (30% to 69%; HR: 1.91; p = 0.011), and presence of >= 2 HRP features (HR: 2.40; p = 0.008). Addition of >= 2 HRP features to: 1) ASCVD and CAC; 2) ASCVD and SIS; or 3) ASCVD and degree of stenosis resulted in a statistically significant improvement in model fit (p = 0.0036; p = 0.0176; and p = 0.0318; respectively). Patients with ASCVD >= 7.5%, any HRP, and mild/moderate stenosis had significantly higher event rates than those who did not meet those criteria (3.0% vs. 6.2%; p = 0.007). CONCLUSIONS Advanced coronary plaque features have incremental value over total plaque burden for the discrimination of clinical events in low-risk stable chest pain patients with nonobstructive CAD. This may be a first step to improve prevention in this cohort with the highest absolute risk for CV events. (C) 2021 by the American College of Cardiology Foundation.
引用
收藏
页码:2186 / 2195
页数:10
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