Hachamovitch Rory, Hayes Sean, Friedman John D, Cohen Ishac, Shaw Leslee J, Germano Guido, Berman Daniel S
Division of Cardiovascular Medicine, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA.
J Am Coll Cardiol. 2003 Apr 16;41(8):1329-40. doi: 10.1016/s0735-1097(03)00125-6.
The aim of this study was to determine the predictors of risk and the temporal characteristics of risk associated with normal myocardial perfusion single photon emission computed tomography (MPS).
No empiric data exist regarding predictors of risk after normal MPS and their temporal characteristics.
Follow-up (mean: 665 +/- 200 days, 96% complete) of 7,376 consecutive patients with normal exercise or adenosine MPS identified 78 hard events (HE) (45 cardiac deaths, 33 non-fatal myocardial infarction; 1.1% cumulative HE rate, 0.6%/year). Cox proportional hazards analysis was used to identify predictors of HE. Parametric survival analysis was used to model predicted time to HE.
The HE rates were greater in patients with versus without previous coronary artery disease (CAD). The Cox proportional hazards model identified pharmacologic stress, known CAD, diabetes mellitus (DM), male gender, and increasing age, with interactions between stress type and previous CAD (lower risk in patients without previous CAD undergoing exercise stress vs. all others) and between DM and gender (higher risk in DM females vs. all others) as the model most predictive of HE. The highest risk subgroups had a maximal event rate of 1.4% to 1.8%/year. Parametric survival models revealed that in patients without previous CAD the level of risk was uniform with time, but in patients with known CAD, risk increased with time (e.g., risk in the first year was less than in the second year, hence, a dynamic temporal component of risk was present).
Multiple clinical factors add incremental prognostic value in patients with normal MPS, affecting their risk and its temporal pattern, and may alter the appropriate timing of repeat testing, hence establishing the existence of a "warranty" period for normal MPS studies.
本研究旨在确定与正常心肌灌注单光子发射计算机断层扫描(MPS)相关的风险预测因素及其时间特征。
关于正常MPS后风险预测因素及其时间特征尚无经验数据。
对7376例连续的运动或腺苷MPS正常的患者进行随访(平均:665±200天,96%完成随访),确定了78例严重事件(HE)(45例心源性死亡,33例非致命性心肌梗死;累积HE发生率1.1%,每年0.6%)。采用Cox比例风险分析确定HE的预测因素。使用参数生存分析对预测的HE发生时间进行建模。
有既往冠状动脉疾病(CAD)的患者HE发生率高于无既往CAD的患者。Cox比例风险模型确定了药物负荷试验、已知CAD、糖尿病(DM)、男性和年龄增长,以及负荷试验类型与既往CAD之间的相互作用(无既往CAD的患者进行运动负荷试验的风险低于其他所有患者)和DM与性别之间的相互作用(DM女性的风险高于其他所有患者)是最能预测HE的模型。风险最高的亚组每年最大事件发生率为1.4%至1.8%。参数生存模型显示,在无既往CAD的患者中,风险水平随时间保持一致,但在已知CAD的患者中,风险随时间增加(例如,第一年的风险低于第二年,因此存在风险的动态时间成分)。
多种临床因素在MPS正常的患者中增加了预后价值,影响其风险及其时间模式,并可能改变重复检测的合适时机,从而确定了正常MPS研究“质保期”的存在。