A Noninvasive Arterial Stiffness Index to Estimate the Severity of Coronary Atherosclerosis in Patients Undergoing Coronary Angiography

Author:

Uchida Kotaro1,Chen Lin1ORCID,Minegishi Shintaro1ORCID,Sugawara Takuya1,Sasaki-Nakashima Rie1,Arakawa Kentaro1,Doi Hiroshi1,Kino Tabito1ORCID,Tada Naoki1,Tarumi Sho1,Kawaura Noriyuki1,Tamura Kouichi1,Hibi Kiyoshi2,Ishigami Tomoaki1

Affiliation:

1. Department of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, Yokohama 236-0004, Japan

2. Department of Cardiology, Yokohama City University Hospital, Yokohama 236-0004, Japan

Abstract

The early diagnosis and appropriate treatment of subclinical atherosclerosis before the onset of life-threatening cardiovascular (CV) diseases are major unmet medical needs in current clinical practice. Noninvasive arterial stiffness indices, the arterial velocity–pulse index (AVI) and the arterial pressure–volume index (API) have been associated with CV risks, conventional arterial stiffness indices, and the severity of coronary atherosclerosis. However, few studies have examined the relationship between these indices and the occurrence of CV events. We measured the AVI and API in 113 consecutive patients admitted to Yokohama City University Hospital for cardiac catheterization between June 2015 and March 2016. Patients were followed until September 2022, and the occurrence of CV events was assessed. The mean age was 71.2 ± 10.7 years, and 83 patients (73.5%) were male. In total, 80 patients (70.8%) had hypertension, 87 (77.0%) had dyslipidemia, and 91 (80.5%) had a history of ischemic heart disease (IHD). The mean follow-up duration was 1752 ± 819 days. Patients who received elective percutaneous coronary intervention (PCI) based on the results of coronary angiography (CAG) at the time of enrollment had significantly higher API than those who did not (38.5 ± 12.6, n = 17 vs. 31.3 ± 7.4, n = 96, p = 0.001). The API was independently associated with the risk of elective PCI in multiple logistic regression analysis. In conclusion, the API could be a useful indicator for estimating the need for coronary interventional treatment in patients with a high CV risk.

Publisher

MDPI AG

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