Nuclear Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Cardiology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
J Nucl Cardiol. 2020 Oct;27(5):1640-1648. doi: 10.1007/s12350-018-1436-z. Epub 2018 Sep 12.
To test whether phase analysis indices from SPECT-MPI for left ventricular mechanical dyssynchrony (LVMD) are predictors of major adverse cardiac events (MACEs) in long-standing diabetes mellitus (DM).
A total of 136 DM patients with normal perfusion and left ventricular systolic functions were followed up for about two years and divided into two groups according to the presence and the absence of MACEs.
Thirteen (9.5%) patients experienced MACEs during follow-up. Patients experiencing MACEs showed significantly higher phase standard deviation (PSD) and wider phase bandwidth (PBW) than those who did not. Moreover, both PSD and PBW showed significant correlations (r = 0.25 and 0.27; P < 0.05) with duration of DM. Logistic regression analysis revealed significant associations of DM duration, microvascular complications, and LVMD indices for predicting MACEs. Kaplan-Meier event-free survival analysis revealed significantly higher rate of MACEs (Logrank = 10.02; P = 0.001) in patients with high PSD and wide PBW. An overall fit model consisting of high-PSD and wide-PBW group was improved with the addition of microvascular complications (χ = 15.9; P = 0.03) and further by addition of DM duration of ≥ 15 years (χ = 24.3; P = 0.007) as variables.
LVMD indices are novel prognostic markers in diabetic patients with normal perfusion and left ventricular systolic functions and their increases in magnitudes with DM-duration and in the presence of microvascular complications.
检验 SPECT-MPI 左室机械不同步相位分析指标是否能预测长期糖尿病患者的主要不良心脏事件(MACEs)。
对 136 例左心室收缩功能正常且灌注正常的糖尿病患者进行了大约两年的随访,并根据是否发生 MACEs 将其分为两组。
13 例(9.5%)患者在随访期间发生了 MACEs。发生 MACEs 的患者的相位标准差(PSD)和相位带宽(PBW)明显高于未发生 MACEs的患者。此外,PSD 和 PBW 与糖尿病病程均有显著相关性(r=0.25 和 0.27;P<0.05)。Logistic 回归分析显示,糖尿病病程、微血管并发症和左室机械不同步指标与预测 MACEs 有显著相关性。Kaplan-Meier 无事件生存分析显示,PSD 高和 PBW 宽的患者发生 MACEs 的风险显著较高(Logrank=10.02;P=0.001)。在加入微血管并发症(χ2=15.9;P=0.03)和进一步加入糖尿病病程≥15 年(χ2=24.3;P=0.007)后,由 PSD 高和 PBW 宽组成的整体拟合模型得到了改善。
LVMD 指标是糖尿病患者左心室收缩功能正常且灌注正常的新型预后标志物,其随着糖尿病病程的延长和微血管并发症的出现而增大。