Incidence, angiographic and clinical predictors, and impact of stent thrombosis: a 6-year survey of 6,545 consecutive patients.

OBJECTIVE

We sought to determine the incidence, angiographic predictors, and impact of stent thrombosis (ST).

BACKGROUND

Given the high mortality after ST, this study emphasises the importance of ongoing efforts to identify angiographic predictors of ST.

METHODS

All consecutive patients with angiographically confirmed ST between 2010 and 2016 were 1:4 matched for (1) percutaneous coronary intervention (PCI) indication and (2) index date ±6 weeks to randomly selected controls. Index PCI angiograms were reassessed by two independent cardiologists. A multivariable conditional logistic regression model was built to identify independent predictors of ST.

RESULTS

Of 6,545 consecutive patients undergoing PCI, 55 patients [0.84%, 95% confidence interval (CI) 0.63-1.10%] presented with definite ST. Multivariable logistic regression identified dual antiplatelet therapy (DAPT) non-use as the strongest predictor of ST (odds ratio (OR) 10.9, 95% CI 2.47-48.5, p < 0.001), followed by: stent underexpansion (OR 5.70, 95% CI 2.39-13.6, p < 0.001), lesion complexity B2/C (OR 4.32, 95% CI 1.43-13.1, p = 0.010), uncovered edge dissection (OR 4.16, 95% CI 1.47-11.8, p = 0.007), diabetes mellitus (OR 3.23, 95% CI 1.25-8.36, p = 0.016), and residual coronary artery disease at the stent edge (OR 3.02, 95% CI 1.02-8.92, p = 0.045). ST was associated with increased rates of mortality as analysed by Kaplan-Meier estimates (27.3 vs 11.3%, plog-rank < 0.001) and adjusted Cox proportional-hazard regression (hazard ratio 2.29, 95% CI 1.03-5.10, p = 0.042).

CONCLUSIONS

ST remains a serious complication following PCI with a high rate of mortality. DAPT non-use was associated with the highest risk of ST, followed by various angiographic parameters and high lesion complexity.