Department of Nuclear Medicine, University Hospital Ostrava, Ostrava, Czech Republic
Department of Nuclear Medicine,Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, Czech Republic
Kardiol Pol. 2019 Jan 11;77(4):458-464. doi: 10.5603/KP.a2019.0037. Epub 2019 Feb 26.
BACKGROUND Determination of prognosis based on ischemia detection, using single‑photon emission computed tomography myocardial perfusion imaging (SPECT‑MPI), can be challenging in patients with multiple affected coronary arteries. AIMS The aim of the study was to examine the outcomes of SPECT‑MPI combined with the coronary artery calcium score (CACS) to identify predictors of adverse cardiac events (ACEs) in patients for whom ischemia detection may be difficult using SPECT‑MPI. METHODS The study group included 195 patients with a history of chronic kidney disease, suspected ischemic cardiomyopathy, or left bundle branch block. All patients underwent SPECT‑MPI and CACS evaluation. During the follow‑up, ACEs were recorded. Perfusion and functional parameters as well as the CACS were analyzed to find the predictors of ACEs. RESULTS The ACEs were recorded in 58 individuals (29.7%) and were significantly associated with ischemia (P <0.001), abnormal functional parameters (P = 0.04), and higher CACSs (P <0.001). The optimal cutoff value of the CACS to predict an ACE was 530. Cox proportional hazards models revealed that age, mild and severe ischemia, functional abnormalities, and a CACS of 530 or higher were significant predictors of ACEs. In the subgroup of individuals without ischemia, a CACS of 530 or higher was significantly associated with poor outcome, while we recorded only 3 ACEs in these patients when the CACS was lower than 530. CONCLUSIONS The addition of the CACS to SPECT‑MPI improves the identification of patients at higher risk for ACEs, even in individuals for whom SPECT‑MPI is challenging.
使用单光子发射计算机断层心肌灌注成像(SPECT-MPI)检测缺血情况来确定预后可能具有挑战性,尤其是在多支冠状动脉受累的患者中。
本研究旨在检查 SPECT-MPI 与冠状动脉钙评分(CACS)相结合的结果,以确定 SPECT-MPI 检测缺血情况可能困难的患者发生不良心脏事件(ACEs)的预测因素。
研究组纳入了 195 名患有慢性肾脏病、疑似缺血性心肌病或左束支传导阻滞病史的患者。所有患者均接受 SPECT-MPI 和 CACS 评估。在随访期间,记录 ACEs。分析灌注和功能参数以及 CACS,以寻找 ACEs 的预测因素。
58 例患者(29.7%)记录到 ACEs,与缺血(P<0.001)、功能参数异常(P=0.04)和更高的 CACS(P<0.001)显著相关。预测 ACE 的 CACS 的最佳截断值为 530。Cox 比例风险模型显示,年龄、轻度和重度缺血、功能异常以及 CACS 为 530 或更高是 ACEs 的显著预测因素。在无缺血的患者亚组中,CACS 为 530 或更高与不良预后显著相关,而当 CACS 低于 530 时,这些患者仅记录到 3 例 ACEs。
即使对于 SPECT-MPI 检测困难的患者,CACS 与 SPECT-MPI 的联合使用也能更好地识别 ACEs 风险较高的患者。