1095 WHICH IS THE BEST MYOCARDIAL WORK INDEX FOR THE PREDICTION OF CORONARY ARTERY DISEASE? A DATA METANALYSIS

Abstract Background Early diagnosis of Coronary Artery Disease (CAD) plays a key role to prevent adverse cardiac events such as myocardial infarction and Left Ventricular (LV) dysfunction. Myocardial Work (MW) indices derived from echocardiographic speckle tracking data in combination with non-invasive blood pressure recordings are able predict CAD even the absence impairments standard parameters. Our aim was compare diagnostic accuracy MW assess intra-observer inter-observer variability through metanalysis. Methods Electronic databases were searched for observational studies evaluating predicting indices. Pooled sensitivity, specificity, Summary Receiver Operating Characteristic (SROC) curves assessed. Results 5 enrolling 501 patients met inclusion criteria. Global Constructive (GCW) had best pooled sensitivity (89%) followed by GLS (84%), Index (GWI) (82%), Efficiency (GWE) (80%) Wasted (GWW) (75%). GWE specificity (78%) GWI (75%), GCW (70%), (68%) GWW (61%). according SROC curves, an Area Under The Curve 0.86 compared 0.84 GWI, 0.83 GWE, 0.79 0.74 (Figure 1). All excellent variability. Conclusions is index proving prediction reproducibility. Figure 1: AUC