In:
Catheterization and Cardiovascular Interventions, Wiley, Vol. 89, No. S1 ( 2017-03), p. 534-540
Abstract:
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. © 2017 Wiley Periodicals, Inc.
Type of Medium:
Online Resource
ISSN:
1522-1946
,
1522-726X
Language:
English
Publisher:
Wiley
Publication Date:
2017
detail.hit.zdb_id:
2001555-0
