Khederlou Hamid, Mohammadi Amirali, Tajik Maryam, Kazemshiroodi Mohamad
Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
J Tehran Heart Cent. 2023 Apr;18(2):129-135. doi: 10.18502/jthc.v18i2.13323.
Myocardial perfusion imaging (MPI) is a noninvasive method with acceptable sensitivity and specificity in diagnosing coronary artery disease (CAD) in moderate-risk patients, including those with CAD risk factors.
The present cross-sectional, prospective study was conducted on 4886 patients from April 2020 through March 2023 at Chamran and Tehran Heart Center hospitals. A questionnaire regarding anthropometric variables, demographic characteristics, CAD risk factors, and MPI findings was designed.
Totally, 2179 patients (44.6%) had abnormal MPI. Patients with abnormal MPI were significantly older than those with normal MPI. Older age (OR, 1.64; 95% CI, 1.2 to 1.72; P<0.001), diabetes mellitus (DM) (OR, 1.36; 95% CI, 1.1 to 1.48; P=0.012), hypertension (OR, 1.24; 95% CI, 1.04 to 1.37; P=0.032), and dyslipidemia (OR, 1.54; 95% CI, 1.25 to 1.8; P<0.001) were associated with abnormal MPI independently. Patients with more CAD risk factors were more likely to have abnormal MPI. Thus, in patients without or at most with 1 risk factor and those with 8 CAD risk factors, the likelihood of abnormal MPI was 3.7% and 76.2%, respectively. The frequency of left ventricular dilation and right ventricular prominence was significantly higher in patients with older age (P<0.001 and P=0.043, respectively), dyslipidemia (P<0.001 and P=0.007, respectively), DM (P<0.001 and P<0.001, respectively), and hypertension (P=0.048 and P=0.057, respectively).
Individuals with CAD risk factors, especially those with older age, DM, hypertension, or dyslipidemia, require meticulous attention during CAD evaluation, particularly via MPI.
心肌灌注成像(MPI)是一种非侵入性方法,在诊断中度风险患者(包括有冠心病危险因素的患者)的冠状动脉疾病(CAD)方面具有可接受的敏感性和特异性。
本横断面前瞻性研究于2020年4月至2023年3月在查姆兰和德黑兰心脏中心医院对4886例患者进行。设计了一份关于人体测量变量、人口统计学特征、CAD危险因素和MPI结果的问卷。
共有2179例患者(44.6%)MPI异常。MPI异常的患者明显比MPI正常的患者年龄大。年龄较大(比值比[OR],1.64;95%置信区间[CI],1.2至1.72;P<0.001)、糖尿病(DM)(OR,1.36;95%CI,1.1至1.48;P=0.012)、高血压(OR,1.24;95%CI,1.04至1.37;P=0.032)和血脂异常(OR,1.54;95%CI,1.25至1.8;P<0.001)分别独立与MPI异常相关。CAD危险因素越多的患者MPI异常的可能性越大。因此,在无或最多有1个危险因素的患者以及有8个CAD危险因素的患者中,MPI异常的可能性分别为3.7%和76.2%。年龄较大的患者(分别为P<0.001和P=0.043)、血脂异常患者(分别为P<0.001和P=0.007)、DM患者(分别为P<0.001和P<0.001)和高血压患者(分别为P=0.048和P=0.057)左心室扩张和右心室突出的发生率明显更高。
有CAD危险因素的个体,尤其是年龄较大、患有DM、高血压或血脂异常的个体,在CAD评估期间,特别是通过MPI进行评估时,需要格外关注。