Title of article :
A Risk-Scoring Model to Predict One-year Major Adverse Cardiac Events after Percutaneous Coronary Intervention
Author/Authors :
Kassaian, Ebrahim Tehran Heart Center - Tehran University of Medical Sciences , Saroukhani, Sepideh Tehran Heart Center - Tehran University of Medical Sciences , Alaeddini, Farshid Tehran Heart Center - Tehran University of Medical Sciences , Salarifar, Mojtaba Tehran Heart Center - Tehran University of Medical Sciences , Capodanno, Davide Cardiovascular Department - Ferrarotto Hospital , Poorhoseini, Hamidreza Tehran Heart Center - Tehran University of Medical Sciences , Lotfi-Tokaldany, Masoumeh Tehran Heart Center - Tehran University of Medical Sciences , Leesar, Massoud A Interventional Cardiology Department, University of Alabama , Aghajani, Hassan Tehran Heart Center - Tehran University of Medical Sciences , Hakki-Kazzazi, Elham Tehran Heart Center - Tehran University of Medical Sciences , Alidoosti, Mohammad Tehran Heart Center - Tehran University of Medical Sciences , Haji-Zeinali, Ali-Mohammad Tehran Heart Center - Tehran University of Medical Sciences , Saifi, Maryam Pediatrics Department - University of Texas Southwestern Medical School , Nematipour, Ebrahim Tehran Heart Center - Tehran University of Medical Sciences
Pages :
9
From page :
167
To page :
175
Abstract :
Background: The aim of the present study was to develop a scoring system for predicting 1-year major adverse cardiac events (MACE), including mortality, target vessel or target lesion revascularization, coronary artery bypass graft surgery, and non-fatal myocardial infarction after percutaneous coronary intervention (PCI). Methods: The data were extracted from a single center PCI registry. The score was created based on the clinical, procedural, and laboratory characteristics of 8206 patients who underwent PCI between April 2004 and October 2009. Consecutive patients undergoing PCI between November 2009 and February 2011 (n= 2875) were included as a validation data set. Results: Diabetes mellitus, increase in the creatinine level, decrease in the left ventricular ejection fraction, presentation with the acute coronary syndrome, number of diseased vessels, primary PCI, PCI on the left anterior descending artery and saphenous vein graft, and stent type and diameter were identified as the predictors of the outcome and used to develop the score (R² = 0.795). The models had adequate goodness of fit (Hosmer-Lemeshow statistic; p value = 0.601) and acceptable ability of discrimination (c-statistics = 0.63). The score categorized the individual patients as low-, moderate-, and high-risk for the occurrence of MACE. The validation of the model indicated a good agreement between the observed and expected risks. Conclusion: An individual risk-scoring system based on both clinical and procedural variables can be used conveniently to predict 1-year MACE after PCI. Risk classification based on this score can assist physicians in decision-making and postprocedural health care. J Teh Univ Heart Ctr 2015;10(4):167-175 This paper should be cited as: Kassaian SE, Saroukhani S, Alaeddini F, Salarifar M, Capodanno D, Poorhoseini H, Lotfi-Tokaldany M, Leesar MA, Aghajani H, Hakki-Kazzazi E, Alidoosti M, Haji-Zeinali AM, Saifi M, Nematipour E. A Risk-Scoring Model to Predict One-year Major Adverse Cardiac Events after Percutaneous Coronary Intervention. J Teh Univ Heart Ctr 2015;10(4):167-175.
Keywords :
Percutaneous coronary intervention , Prognosis , Patient-specific modeling
Journal title :
Astroparticle Physics
Serial Year :
2015
Record number :
2418853
Link To Document :
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