Background
Previous studies on the relation of sST2 with atherosclerotic disease mostly focused on the predictive value of sST2 for heart failure. However, there is no definite
Conclusions
sST2 level, GLS, GAS and GCS can significantly predict severity of CAD in CCS.
Results
GLS, GAS, GCS and ST2 can significantly predict severity of CAD in CCS, respectively (P < 0.001 and AUC (95% CI) = 0.949(0.881-0.984), 0.980(0.925 to 0.998), 0.908(0.828 to 0.959) and 0.702(0.597 to 0.794)) at cutoff ≥ - 10, - 21, - 12 and ≥ 10 with 96.67% (82.8% to 99.9%), 96.67% (82.8 to 99.9), 86.67% (69.3 to 96.2) and 63.33% (43.9 to 80.1) sensitivity (95% CI), 76.67% (64.0% to 86.6%), 85.0% (73.4 to 92.9), 73.33% (60.3 to 83.9) and 65.0% (51.6 to 76.9) specificity (95% CI), 67.44%, 76.32%, 61.90% and 47.50% PPV and 97.87%, 98.08%, 91.67% and 78.00%, NPV with accuracy of 83.33%, 88.89%, 77.78% and 64.44%. Conclusions: sST2 level, GLS, GAS and GCS can significantly predict severity of CAD in CCS.