McGraw Sloane, Romano Simone, Jue Jennifer, Bauml Michael A, Chung Jaehoon, Farzaneh-Far Afshin
Section of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Section of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois; Department of Medicine, University of Verona, Verona, Italy.
Am J Cardiol. 2016 Sep 15;118(6):924-929. doi: 10.1016/j.amjcard.2016.06.031. Epub 2016 Jun 27.
Given the rising costs of imaging, there is increasing pressure to provide evidence for direct additive impact on clinical care. Appropriate use criteria (AUC) were developed to optimize test-patient selection and are increasingly used by payers to assess reimbursement. However, these criteria were created by expert consensus with limited systematic validation. The aims of this study were therefore to determine (1) rates of active clinical change resulting from stress cardiovascular magnetic resonance (CMR) imaging and (2) whether the AUC can predict these changes. We prospectively enrolled 350 consecutive outpatients referred for stress CMR. Categories of "active changes in clinical care" due to stress CMR were predefined. Appropriateness was classified according to the 2013 AUC. Multivariate logistic regression analysis was used to identify factors independently associated with active change. Overall, stress CMR led to an active change in clinical care in about 70% of patients. Rates of change in clinical care did not vary significantly across AUC categories (p = 0.767). In a multivariate model adjusting for clinical variables and AUC, only ischemia (odds ratio [OR] 6.896, 95% CI 2.637 to 18.032, p <0.001), known coronary artery disease (OR 0.300, 95% CI 0.161 to 0.559, p <0.001), and age (OR 0.977, 95% CI 0.954 to 1.000, p = 0.050) independently predicted significant clinical change. In conclusion, stress CMR made a significant impact on clinical management, resulting in active change in clinical care in about 70% of patients. AUC categories were not an independent predictor of clinical change. Clinical change was independently associated with the presence of ischemia, absence of known coronary artery disease, and younger age.
鉴于成像成本不断上升,为临床护理提供直接附加影响的证据的压力越来越大。制定了适当使用标准(AUC)以优化检查患者的选择,并且支付方越来越多地使用这些标准来评估报销情况。然而,这些标准是通过专家共识制定的,系统验证有限。因此,本研究的目的是确定:(1)应激心血管磁共振(CMR)成像导致的临床主动变化率;(2)AUC是否能够预测这些变化。我们前瞻性地纳入了350例连续接受应激CMR检查的门诊患者。预先定义了因应激CMR导致的“临床护理中的主动变化”类别。根据2013年AUC对适用性进行分类。采用多因素逻辑回归分析来确定与主动变化独立相关的因素。总体而言,应激CMR使约70%的患者的临床护理发生了主动变化。临床护理变化率在AUC类别之间没有显著差异(p = 0.767)。在调整临床变量和AUC的多因素模型中,只有心肌缺血(优势比[OR]6.896,95%可信区间2.637至18.032,p<0.001)、已知冠状动脉疾病(OR 0.300,95%可信区间0.161至0.559,p<0.001)和年龄(OR 0.977,95%可信区间0.954至1.000,p = 0.050)独立预测了显著的临床变化。总之,应激CMR对临床管理产生了重大影响,使约70%的患者的临床护理发生了主动变化。AUC类别不是临床变化的独立预测因素。临床变化与心肌缺血的存在、无已知冠状动脉疾病以及较年轻的年龄独立相关。