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Submitted: 23 Apr 2019
Revision: 01 Jul 2019
Accepted: 22 Jul 2019
ePublished: 07 Aug 2019
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J Cardiovasc Thorac Res. 2019;11(3): 182-188.
doi: 10.15171/jcvtr.2019.31
PMID: 31579457
PMCID: PMC6759620
  Abstract View: 1110
  PDF Download: 743

Original Article

A simple score for the prediction of stent thrombosis in patients with ST elevation myocardial infarction: TIMI risk index

Tufan Çınar 1* ORCID logo, Yavuz Karabağ 2 ORCID logo, Cengiz Burak 2 ORCID logo, Veysel Ozan Tanık 3 ORCID logo, Mahmut Yesin 2 ORCID logo, Metin Çağdaş 2 ORCID logo, İbrahim Rencüzoğulları 2 ORCID logo

1 Health Sciences University, Sultan Abdülhamid Han Training and Research Hospital, Department of Cardiology, Istanbul, Turkey
2 Kafkas University Faculty of Medicine, Department of Cardiology, Kars, Turkey
3 Ankara Dışkapı Yıldırım Beyazıt Training and Research Hospital, Department of Cardiology, Ankara, Turkey
*Corresponding Author: Email: drtufancinar@gmail.com

Abstract

Introduction: The present study aimed to evaluate the potential utility of thrombosis in myocardial infarction (TIMI) risk index (TRI) for the prediction of stent thrombosis (ST) in ST elevation myocardial infarction (STEMI) patients who were treated with primary percutaneous coronary intervention (pPCI).
Methods: This retrospective study was related to the clinical data of 1275 consecutive STEMI patients who underwent pPCI from January 2013 to January 2018. The TRI was calculated for each patient, and the following equation was used; TRI = heart rate x [age/10]2/systolic blood pressure. For the definition of ST, the criteria as proposed by the Academic Research Consortium were applied.
Results: The incidence of ST was 3.2% (n=42 patients) in the study. The median value of the TRI was significantly elevated in patients with ST compared to those without ST (22 [17-32] vs. 16 [11-21], P<0.001, respectively). In a multivariate logistic regression analysis, the TRI was an independent predictor of ST (odds ratio [OR]: 1.061; 95% CI: 1.038-1.085; P<0.001). In a receiver operating characteristic curve analysis, the optimal value of the TRI for the prediction of ST was 25.8 with a sensitivity of 45.2% and a specificity of 86.4%.
Conclusion: The present study finding has demonstrated that the TRI may be an independent predictor of ST in STEMI patients who were treated with pPCI. To the best of our knowledge, this is the first study in the literature in which the TRI and its relationship with ST was evaluated in STEMI patients treated with pPCI.
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