Early risk stratification of acute myocardial infarction using a simple physiological prognostic scoring system: insights from the REACP study

1. Ibanez, B, James, S, Agewall, S, et al. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: the Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J 2018; 39: 119–177.
Google Scholar | Crossref | Medline | ISI2. Ford, ES, Ajani, UA, Croft, JB, et al. Explaining the decrease in U.S. deaths from coronary disease, 1980–2000. N Engl J Med 2007; 356: 2388–2398.
Google Scholar | Crossref | Medline | ISI3. Peterson, ED, Shah, BR, Parsons, L, et al. Trends in quality of care for patients with acute myocardial infarction in the National Registry of Myocardial Infarction from 1990 to 2006. Am Heart J 2008; 156: 1045–1055.
Google Scholar | Crossref | Medline | ISI4. O’Donoghue, ML, Morrow, DA, Cannon, CP, et al. Multimarker risk stratification in patients with acute myocardial infarction. J Am Heart Assoc 2016; 5: e002586.
Google Scholar | Crossref | Medline | ISI5. Stepinska, J, Lettino, M, Ahrens, I, et al. Diagnosis and risk stratification of chest pain patients in the emergency department: focus on acute coronary syndromes. A position paper of the Acute Cardiovascular Care Association. Eur Heart J Acute Cardiovasc Care 2020; 9: 76–89.
Google Scholar | SAGE Journals | ISI6. Timmis, A. Acute coronary syndromes: risk stratification. Heart 2000; 83: 241–246.
Google Scholar | Crossref | Medline7. Tamis-Holland, JE, Jneid, H, Reynolds, HR, et al. Contemporary diagnosis and management of patients with myocardial infarction in the absence of obstructive coronary artery disease: a scientific statement from the American Heart Association. Circulation 2019; 139: e891–e908.
Google Scholar | Crossref | Medline8. Wong, GC, Welsford, M, Ainsworth, C, et al. 2019 Canadian Cardiovascular Society/Canadian Association of Interventional Cardiology Guidelines on the acute management of ST-elevation myocardial infarction: focused update on regionalization and reperfusion. Can J Cardiol 2019; 35: 107–132.
Google Scholar | Crossref | Medline9. Lim, MJ, Eagle, KA, Gore, JM, et al. Treating patients with acute coronary syndromes with aggressive antiplatelet therapy (from the Global Registry of Acute Coronary Events). Am J Cardiol 2005; 96: 917–921.
Google Scholar | Crossref | Medline10. Hall, M, Bebb, OJ, Dondo, TB, et al. Guideline-indicated treatments and diagnostics, GRACE risk score, and survival for non-ST elevation myocardial infarction. Eur Heart J 2018; 39: 3798–3806.
Google Scholar | Crossref | Medline11. Kontos, MC, Rennyson, SL, Chen, AY, et al. The association of myocardial infarction process of care measures and in-hospital mortality: a report from the NCDR(R). Am Heart J 2014; 168: 766–775.
Google Scholar | Crossref | Medline | ISI12. McNamara, RL, Kennedy, KF, Cohen, DJ, et al. Predicting in-hospital mortality in patients with acute myocardial infarction. J Am Coll Cardiol 2016; 68: 626–635.
Google Scholar | Crossref | Medline13. Jia, Y, Li, D, Cao, Y, et al. Inflammation-based Glasgow Prognostic Score in patients with acute ST-segment elevation myocardial infarction: a prospective cohort study. Medicine (Baltimore) 2018; 97: e13615.
Google Scholar | Crossref | Medline14. Cheng, Y, Li, H, Li, D, et al. Prognostic nutritional index may not be a good prognostic indicator for acute myocardial infarction. Sci Rep 2019; 9: 14717.
Google Scholar | Crossref | Medline15. Abu-Assi, E, Ferreira-González, I, Ribera, A, et al. Do GRACE (Global Registry of Acute Coronary Events) risk scores still maintain their performance for predicting mortality in the era of contemporary management of acute coronary syndromes. Am Heart J 2010; 160: 826–834.e1-3.
Google Scholar | Crossref | Medline16. Ezra, AA, Nanette, KW, Ralph, GB, et al. 2014 AHA/ACC Guideline for the management of patients with non-ST-elevation acute coronary syndromes: executive summary a report of the American College of Cardiology/American Heart Association task force on practice guidelines. Circulation 2014; 130: 2354–2394.
Google Scholar | Crossref | Medline17. Ohman, EM, Topol, EJ, Califf, RM, et al. An analysis of the cause of early mortality after administration of thrombolytic therapy. The Thrombolysis Angioplasty in Myocardial Infarction Study Group. Coron Artery Dis 1993; 4: 957–964.
Google Scholar | Crossref | Medline | ISI18. Kazuo, K, Takeshi, K, Masaharu, I, et al. JCS 2018 Guideline on diagnosis and treatment of acute coronary syndrome. Circ J 2019; 83: 1085–1196.
Google Scholar | Crossref | Medline19. Scruth, EA, Page, K, Cheng, E, et al. Risk determination after an acute myocardial infarction: review of 3 clinical risk prediction tools. Clin Nurse Spec 2012; 26: 35–41.
Google Scholar | Crossref | Medline20. Granger, CB, Goldberg, RJ, Dabbous, O, et al. Predictors of hospital mortality in the global registry of acute coronary events. Arch Intern Med 2003; 163: 2345–2353.
Google Scholar | Crossref | Medline21. Gensini, GG. A more meaningful scoring system for determining the severity of coronary heart disease. Am J Cardiol 1983; 51: 606.
Google Scholar | Crossref | Medline | ISI22. Pencina, MJ, D’Agostino, RS, Steyerberg, EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 2011; 30: 11–21.
Google Scholar | Crossref | Medline | ISI23. Jiang, X, Osl, M, Kim, J, et al. Calibrating predictive model estimates to support personalized medicine. J Am Med Inform Assoc 2012; 19: 263–274.
Google Scholar | Crossref | Medline24. Fitzgerald, M, Saville, BR, Lewis, RJ. Decision curve analysis. JAMA 2015; 313: 409–410.
Google Scholar | Crossref | Medline25. Antman, EM, Cohen, M, Bernink, PJ, et al. The TIMI risk score for unstable angina/non-ST elevation MI: a method for prognostication and therapeutic decision making. JAMA 2000; 284: 835–842.
Google Scholar | Crossref | Medline | ISI26. Chin, CT, Chen, AY, Wang, TY, et al. Risk adjustment for in-hospital mortality of contemporary patients with acute myocardial infarction: the acute coronary treatment and intervention outcomes network (ACTION) registry – get with the guidelines (GWTG) acute myocardial infarction mortality model and risk score. Am Heart J 2011; 161: 113–122.e2.
Google Scholar | Medline27. Sakakura, K, Kubo, N, Ako, J, et al. Peak C-reactive protein level predicts long-term outcomes in type B acute aortic dissection. Hypertension 2010; 55: 422–429.
Google Scholar | Crossref | Medline | ISI28. Jia, Y, Gao, Y, Li, D, Cao, Y, et al. Geriatric nutritional risk index score predicts clinical outcome in patients with acute ST-segment elevation myocardial infarction. J Cardiovasc Nurs. Epub ahead of print 18 April 2020. DOI: 10.1097/JCN.0000000000000674
Google Scholar29. Li, D, Yu, J, Zeng, R, et al. Neutrophil count is associated with risks of cardiovascular diseases. J Am Coll Cardiol 2017; 70: 911–912.
Google Scholar | Crossref | Medline30. Li, DZ, Yu, J, Du, RS, et al. Thrombo-inflammatory status and prognosis of acute type A aortic dissection. Herz 2016; 41: 250–251.
Google Scholar | Crossref | Medline31. Li, D, Ye, L, Yu, J, et al. Significance of the thrombo-inflammatory status-based novel prognostic score as a useful predictor for in-hospital mortality of patients with type B acute aortic dissection. Oncotarget 2017; 8: 79315–79322.
Google Scholar | Crossref | Medline

留言 (0)

沒有登入
gif