Key result
Global area strain (GAS), global longitudinal strain (GLS), global circumferential strain (GCS), and sST2 levels significantly predicted the severity of coronary artery disease in patients with chronic coronary syndrome, with GAS showing the highest accuracy (AUC 0.980).
Why the study?
There was no definite conclusion regarding the correlation between sST2 levels and complex coronary lesion morphology detected by coronary angiography in chronic coronary syndrome.
Do sST2 levels and 3D speckle-tracking echocardiography predict coronary artery disease severity in patients with chronic coronary syndrome?
Cohort (n=90)
No
Do sST2 levels and 3D speckle-tracking echocardiography predict coronary artery disease severity in patients with chronic coronary syndrome?
Effect estimate: AUC 0.980 (95% CI 0.925 to 0.998)
p-value: p=<0.001
sST2 levels and 3D speckle-tracking echocardiography parameters (GLS, GAS, GCS) are significant predictors of coronary artery disease severity in patients with chronic coronary syndrome.
sST2 and 3D strain parameters may aid noninvasive CAD severity assessment in CCS; leaves open prospective validation before clinical adoption.
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 conclusion about the correlation between sST2 level and a complex coronary lesion morphology detected with coronary angiography (CAG). The purpose of this work was to know sST2 level and 3D speckle-tracking echocardiography as predictor of coronary artery disease (CAD) severity in chronic coronary syndrome (CCS) individuals using Gensini score. This prospective cohort work was performed on 90 participants aging from 18 to 80 years old, both sexes, with stable angina pectoris. Participants had been categorized into three groups: Group I (n = 30): control group scheduled by normal coronary angiography and group II (n = 60): case group which subdivided according to Gensini score into two equal subgroups: IIa: simple lesion (Gensini score < 20) and group IIb: complex lesion (Gensini score of ≥ 20). Plasma sST2 levels were measured in all participants using ELISA technique. 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.
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Setouhi et al. (2024) conducted a cohort in Chronic coronary syndrome (stable angina pectoris) (n=90). sST2 levels and 3D speckle-tracking echocardiography vs. Normal coronary angiography or simple coronary lesions was evaluated on Prediction of severity of CAD (complex lesion, Gensini score ≥ 20) using Global Area Strain (GAS) (AUC 0.980, 95% CI 0.925 to 0.998, p=<0.001). Global area strain (GAS), global longitudinal strain (GLS), global circumferential strain (GCS), and sST2 levels significantly predicted the severity of coronary artery disease in patients with chronic coronary syndrome, with GAS showing the highest accuracy (AUC 0.980).
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