Key result
A multivariable risk score (PMI score ≥ 10) identified patients at high risk for SCAI-defined periprocedural myocardial infarction after PCI (6.26% vs 1.96% for score < 10; P < 0.001).
Why the study?
What are the independent predictors of SCAI-defined periprocedural myocardial infarction after PCI, and can a risk score accurately predict its occurrence?
Observational (n=3,371)
No
What are the independent predictors of SCAI-defined periprocedural myocardial infarction after PCI, and can a risk score accurately predict its occurrence?
Effect estimate: C-statistic 0.71 (95% CI 0.66-0.76)
Absolute Event Rate: 6.26% vs 1.96%
p-value: p=< 0.001
A novel risk score incorporating age, multivessel treatment, bifurcation treatment, and lesion length can help identify patients at high risk for SCAI-defined periprocedural myocardial infarction after PCI.
May support pre-PCI risk stratification for monitoring; leaves open prospective validation before clinical use.
OBJECTIVES: To investigate the predictors of and generate a risk prediction method for periprocedural myocardial infarction (PMI) after percutaneous coronary intervention (PCI) using the new PMI definition proposed by the Society for Cardiovascular Angiography and Interventions (SCAI). BACKGROUND: The SCAI-defined PMI was found to be associated with worse prognosis than the PMI diagnosed by other definitions. However, few large-sample studies have attempted to predict the risk of SCAI-defined PMI. METHODS: A total of 3,371 patients (3,516 selective PCIs) were included in this single-center retrospective analysis. The diagnostic criteria for PMI were set according to the SCAI definition. All clinical characteristics, coronary angiography findings and PCI procedural factors were collected. Multivariate logistic regression analysis was performed to identify independent predictors of PMI. To evaluate the risk of PMI, a multivariable risk score (PMI score) was constructed with incremental weights attributed to each component variable according to their estimated coefficients. RESULTS: PMI occurred in 108 (3.1%) of all patients. Age, multivessel treatment, at least one bifurcation treatment and total treated lesion length were independent predictors of SCAI-defined PMI. PMI scores ranged from 0 to 20. The C-statistic of PMI score was 0.71 (95% confidence interval: 0.66-0.76). PMI rates increased significantly from 1.96% in the non-high-risk group (PMI score < 10) to 6.26% in the high-risk group (PMI score ≥ 10) (P < 0.001). CONCLUSIONS: Age, multivessel treatment, at least one bifurcation treatment, and total treated lesion length are predictive of PMI. The PMI score could help identify patients at high risk of PMI after PCI.
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Zhang et al. (2017) conducted an observational in Percutaneous coronary intervention (n=3,371). High PMI score (≥ 10) vs. Non-high-risk group (PMI score < 10) was evaluated on SCAI-defined periprocedural myocardial infarction (PMI) (C-statistic 0.71, 95% CI 0.66-0.76, p=< 0.001). A multivariable risk score (PMI score ≥ 10) identified patients at high risk for SCAI-defined periprocedural myocardial infarction after PCI (6.26% vs 1.96% for score < 10; P < 0.001).
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