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Predicting risk of cardiac events among ST-segment elevation myocardial infarction patients with conservatively managed non-infarct-related artery coronary artery disease: An analysis of the Duke Databank for Cardiovascular Disease.

Publication ,  Journal Article
Hirji, SA; Stevens, SR; Shaw, LK; Campbell, EC; Granger, CB; Patel, MR; Sketch, MH; Wang, TY; Ohman, EM; Peterson, ED; Brennan, JM
Published in: Am Heart J
December 2017

BACKGROUND: Recent randomized evidence has demonstrated benefit with complete revascularization during the index hospitalization for multivessel coronary artery disease ST-segment elevation myocardial infarction (STEMI) patients; however, this benefit likely depends on the risk of future major adverse cardiovascular events (MACE). METHODS: Using data from Duke University Medical Center (2003-2012), we identified those at high risk for 1-year MACE among 664 STEMI patients with conservatively managed non-infarct-related artery (non-IRA) lesions. Using multivariable logistic regression, we identified clinical and angiographic characteristics associated with MACE (death, myocardial infarction, urgent revascularization) to 1 year and developed an integer-based risk prediction model for clinical use. RESULTS: In this cohort (median age 60 years, 30% female), the unadjusted Kaplan-Meier rates for MACE at 30 days and 1 year were 10% and 28%, respectively. Characteristics associated with MACE at 1 year included reduced left ventricular ejection fraction, hypertension, heart failure, higher-risk non-IRA vessels (left main), renal insufficiency, and greater % stenosis of non-IRA lesions. A 15-point risk score including these variables had modest discrimination (C-index 0.67) across a spectrum of subsequent risk (4%-88%) for 1-year MACE. CONCLUSIONS: There is a wide spectrum of risk following primary percutaneous coronary intervention for STEMI patients with multivessel disease. Using readily available clinical characteristics, the expected incidence of MACE by 1 year can be calculated with a simplified risk score, facilitating a tailored approach to clinical care.

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Published In

Am Heart J

DOI

EISSN

1097-6744

Publication Date

December 2017

Volume

194

Start / End Page

116 / 124

Location

United States

Related Subject Headings

  • Thrombolytic Therapy
  • Survival Rate
  • ST Elevation Myocardial Infarction
  • Risk Assessment
  • Retrospective Studies
  • Prognosis
  • Middle Aged
  • Massachusetts
  • Male
  • Humans
 

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Hirji, S. A., Stevens, S. R., Shaw, L. K., Campbell, E. C., Granger, C. B., Patel, M. R., … Brennan, J. M. (2017). Predicting risk of cardiac events among ST-segment elevation myocardial infarction patients with conservatively managed non-infarct-related artery coronary artery disease: An analysis of the Duke Databank for Cardiovascular Disease. Am Heart J, 194, 116–124. https://doi.org/10.1016/j.ahj.2017.08.023
Hirji, Sameer A., Susanna R. Stevens, Linda K. Shaw, Erin C. Campbell, Christopher B. Granger, Manesh R. Patel, Michael H. Sketch, et al. “Predicting risk of cardiac events among ST-segment elevation myocardial infarction patients with conservatively managed non-infarct-related artery coronary artery disease: An analysis of the Duke Databank for Cardiovascular Disease.Am Heart J 194 (December 2017): 116–24. https://doi.org/10.1016/j.ahj.2017.08.023.
Hirji SA, Stevens SR, Shaw LK, Campbell EC, Granger CB, Patel MR, Sketch MH, Wang TY, Ohman EM, Peterson ED, Brennan JM. Predicting risk of cardiac events among ST-segment elevation myocardial infarction patients with conservatively managed non-infarct-related artery coronary artery disease: An analysis of the Duke Databank for Cardiovascular Disease. Am Heart J. 2017 Dec;194:116–124.
Journal cover image

Published In

Am Heart J

DOI

EISSN

1097-6744

Publication Date

December 2017

Volume

194

Start / End Page

116 / 124

Location

United States

Related Subject Headings

  • Thrombolytic Therapy
  • Survival Rate
  • ST Elevation Myocardial Infarction
  • Risk Assessment
  • Retrospective Studies
  • Prognosis
  • Middle Aged
  • Massachusetts
  • Male
  • Humans