The Incremental Prognostic Value of Hyperemic Coronary Flow Velocity in Patients with Angina and Nonobstructive Coronary Artery Disease
Quande Liu , Guihua Jiang , Mingjun Xu , Jichen Pan , Chenghu Guo , Yichun Zhou , Meng Zhang , Yu Zhang , Yun Zhang , Mengmeng Li , Mei Zhang
MedComm ›› 2026, Vol. 7 ›› Issue (4) : e70731
Risk stratification in patients with angina and nonobstructive coronary arteries (ANOCA) remains suboptimal. Coronary flow velocity reserve (CFVR) is prognostic but susceptible to hemodynamic variability; we evaluated whether hyperemic coronary flow velocity (hCFV) improves risk prediction. We analyzed 246 consecutively enrolled ANOCA patients and an independent validation cohort (n = 135). Transthoracic Doppler of the mid-distal LAD quantified CFVR and hCFV. The primary end point was major adverse cardiovascular events (MACE). During a median follow-up of 28.8 months, 27 patients (10.9%) experienced MACE. Both CFVR and hCFV were significantly associated with MACE. Among patients with CFVR < 2.5, hCFV ≤ 0.44 m/s independently predicted MACE (adjusted HR 6.6, p = 0.001). A combined CFVR-hCFV scheme yielded graded risk of MACE (Group A: CFVR ≥ 2.5; Group B: CFVR < 2.5 with hCFV > 0.44 m/s; Group C: CFVR < 2.5 with hCFV ≤ 0.44 m/s), with Group C exhibiting the highest risk of MACE (35.5% vs. 6.3%, 10.5%, p < 0.01). Adding reduced hCFV to a model including clinical risk factors and CFVR improved prediction (IDI 0.05, p = 0.011; NRI 0.23, p = 0.0023) and was confirmed in the validation cohort. Reduced hCFV provides incremental prognostic value beyond CFVR and offers a practical approach to identify high-risk ANOCA patients.
angina with nonobstructive coronary arteries / coronary flow velocity reserve / coronary microvascular dysfunction / hyperemic coronary flow velocity / transthoracic Doppler echocardiography
| [1] |
GBD 2015 Mortality and Causes of Death Collaborators. (2016). Global, Regional, and National Life Expectancy, All-Cause Mortality, and Cause-Specific Mortality for 249 Causes of Death, 1980-2015: A Systematic Analysis for the Global Burden of Disease Study 2015. Lancet 388, 1459–1544. |
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
2026 The Author(s). MedComm published by Sichuan International Medical Exchange & Promotion Association (SCIMEA) and John Wiley & Sons Australia, Ltd.
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