A cross-sectional multicentre study of cardiac risk score use in the management of unstable angina and non-ST-elevation myocardial infarction

BMJ Open

Volumn 5, Issue 11, 2015, Pages

  Engel, Josien ^a   van der Wulp, Ineke ^a   de Bruijne, Martine ^a   Wagner, Cordula ^a,b  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b NETHERLANDS INSTITUTE FOR HEALTH SERVICES RESEARCH   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ANGINA, UNSTABLE; CLINICAL TRIAL; CROSS-SECTIONAL STUDY; DISEASE MANAGEMENT; FEMALE; HEART; HEART FAILURE; HUMAN; MALE; MULTICENTER STUDY; MULTIVARIATE ANALYSIS; MYOCARDIAL INFARCTION; NETHERLANDS; PATHOPHYSIOLOGY; PROCEDURES; RETROSPECTIVE STUDY; RISK ASSESSMENT; STATISTICAL MODEL;

AGED; ANGINA, UNSTABLE; CROSS-SECTIONAL STUDIES; DISEASE MANAGEMENT; FEMALE; HEART; HEART FAILURE; HUMANS; LINEAR MODELS; MALE; MULTIVARIATE ANALYSIS; MYOCARDIAL INFARCTION; NETHERLANDS; RETROSPECTIVE STUDIES; RISK ASSESSMENT;

EID: 85010013701     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/BMJOPEN-2015-008523     Document Type: Article

References (44)

1. Fox KA, Steg PG, Eagle KA, et al. GRACE Investigators. Decline in rates of death and heart failure in acute coronary syndromes, 1999-2006. JAMA 2007;297:1892-900.
2. Yeh RW, Sidney S, Chandra M, et al. Population trends in the incidence and outcomes of acute myocardial infarction. N Engl J Med 2010;362:2155-65.
3. Lopez AD, Murray CJ. The global burden of disease. A comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. Cambridge, MA: Harvard University Press, 1996.
4. Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990-2020: Global Burden of Disease Study. Lancet 1997;349:1498-504.
5. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 2006;3:e442.
6. Roe MT, Peterson ED, Newby LK, et al. The influence of risk status on guideline adherence for patients with non-ST-segment elevation acute coronary syndromes. Am Heart J 2006;151:1205-13.
7. Peterson ED, Roe MT, Mulgund J, et al. Association between hospital process performance and outcomes among patients with acute coronary syndromes. JAMA 2006;295:1912-20.
8. Gulati M, Patel S, Jaffe AS, et al. Impact of contemporary guideline compliance on risk stratification models for acute coronary syndromes in The Registry of Acute Coronary Syndromes. Am J Cardiol 2004;94:873-8.
9. Patel MR, Chen AY, Roe MT, et al. A comparison of acute coronary syndrome care at academic and nonacademic hospitals. Am J Med 2007;120:40-6.
10. Hamm CW, Bassand JP, Agewall S, et al. ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: the Task Force for the management of acute coronary syndromes (ACS) in patients presenting without persistent ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J 2011;32:2999-3054.
11. Anderson JL, Adams CD, Antman EM, et al. ACC/AHA 2007 guidelines for the management of patients with unstable angina/non ST-elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 2002 Guidelines for the Management of Patients With Unstable Angina/Non ST-Elevation Myocardial Infarction): developed in collaboration with the American College of Emergency Physicians, the Society for Cardiovascular Angiography and Interventions, and the Society of Thoracic Surgeons: endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation and the Society for Academic Emergency Medicine. Circulation 2007;116:e148-304.
12. Amsterdam EA, Wenger NK, Brindis RG, et al. 2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 2014;130:2354-94.
13. Granger CB, Goldberg RJ, Dabbous O, et al. Predictors of hospital mortality in the global registry of acute coronary events. Arch Intern Med 2003;163:2345-53.
14. Fox KA, Dabbous OH, Goldberg RJ, et al. Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE). BMJ 2006;333:1091.
15. 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;284:835-42.
16. Lagerqvist B, Diderholm E, Lindahl B, et al. FRISC score for selection of patients for an early invasive treatment strategy in unstable coronary artery disease. Heart 2005;91:1047-52.
17. Boersma E, Pieper KS, Steyerberg EW, et al. Predictors of outcome in patients with acute coronary syndromes without persistent ST-segment elevation. Results from an international trial of 9461 patients. The PURSUIT Investigators. Circulation 2000;101:2557-67.
18. Six AJ, Backus BE, Kelder JC. Chest pain in the emergency room: value of the HEART score. Neth Heart J 2008;16:191-6.
19. de Araujo GP, Ferreira J, Aguiar C, et al. TIMI, PURSUIT, and GRACE risk scores: sustained prognostic value and interaction with revascularization in NSTE-ACS. Eur Heart J 2005;26:865-72.
20. Backus BE, Six AJ, Kelder JC, et al. Chest pain in the emergency room: a multicenter validation of the HEART Score. Crit Pathw Cardiol 2010;9:164-9.
21. Yan AT, Yan RT, Tan M, et al. Risk scores for risk stratification in acute coronary syndromes: useful but simpler is not necessarily better. Eur Heart J 2007;28:1072-8.
22. Chew DP, Juergens C, French J, et al. An examination of clinical intuition in risk assessment among acute coronary syndromes patients: observations from a prospective multi-center international observational registry. Int J Cardiol 2014;171:209-16.
23. Manfrini O, Bugiardini R. Barriers to clinical risk scores adoption. Eur Heart J 2007;28:1045-6.
24. Van de Werf F, Ardissino D, Bueno H, et al. Acute coronary syndromes: considerations for improved acceptance and implementation of management guidelines. Expert Rev Cardiovasc Ther 2012;10:489-503.
25. Yan AT, Yan RT, Tan M, et al. In-hospital revascularization and one-year outcome of acute coronary syndrome patients stratified by the GRACE risk score. Am J Cardiol 2005;96:913-16.
26. Yan AT, Yan RT, Tan M, et al. Management patterns in relation to risk stratification among patients with non-ST elevation acute coronary syndromes. Arch Intern Med 2007;167:1009-16.
27. Fox KA, Anderson FA Jr, Dabbous OH, et al. Intervention in acute coronary syndromes: do patients undergo intervention on the basis of their risk characteristics? The Global Registry of Acute Coronary Events (GRACE). DHeart 2007;93:177-82.
28. Heras M, Bueno H, Bardaji A, et al. Magnitude and consequences of undertreatment of high-risk patients with non-ST segment elevation acute coronary syndromes: insights from the DESCARTES Registry. Heart 2006;92:1571-6.
29. Lee CH, Tan M, Yan AT, et al. Use of cardiac catheterization for non-ST-segment elevation acute coronary syndromes according to initial risk: reasons why physicians choose not to refer their patients. Arch Intern Med 2008;168:291-6.
30. Motivala AA, Cannon CP, Srinivas VS, et al. Changes in myocardial infarction guideline adherence as a function of patient risk: an end to paradoxical care? J Am Coll Cardiol 2011;58:1760-5.
31. Tra J, Engel J, van der Wulp I, et al. Monitoring guideline adherence in the management of acute coronary syndrome in hospitals: design of a multicentre study. Neth Heart J 2014;22:346-53.
32. VMSzorg. Optimal care in Acute Coronary Syndromes [Original title in Dutch: Optimale zorg in Acute Coronaire Syndromen]. Dutch National Patient Safety Programme. 2010. Http://www.vmszorg.nl/Themas/ACS
33. van Buuren S, Groothuis-Oudshoorn K. MICE: Multivariate Imputation by Chained Equations in R. J Stat Software 2011;45:1-67.
34. R Core Team. R: a language and environment for statistical computing. 2013. Vienna, Austria, R Foundation for Statistical Computing. http://www.R-project.org
35. McCulloch CE, Searle SR, Neuhaus JM. Generalized, linear, and mixed models. 2nd edn. New Jersey: John Wiley & Sons, 2008.
36. Kumbhani DJ, Fonarow GC, Cannon CP, et al. Predictors of adherence to performance measures in patients with acute myocardial infarction. Am J Med 2013;126:74.e1-9.
37. Scott IA, Harper CM. Guideline-discordant care in acute myocardial infarction: predictors and outcomes. Med J Aust 2002;177:26-31.
38. Allen LA, O'Donnell CJ, Camargo CA Jr, et al. Comparison of long-term mortality across the spectrum of acute coronary syndromes. Am Heart J 2006;151:1065-71.
39. Tran CT, Laupacis A, Mamdani MM, et al. Effect of age on the use of evidence-based therapies for acute myocardial infarction. Am Heart J 2004;148:834-41.
40. Ohman EM, Roe MT, Smith SC Jr, et al. Care of non-ST-segment elevation patients: insights from the CRUSADE national quality improvement initiative. Am Heart J 2004;148:S34-9.
41. Haim M, Battler A, Behar S, et al. Acute coronary syndromes complicated by symptomatic and asymptomatic heart failure: does current treatment comply with guidelines? Am Heart J 2004;147:859-64.
42. Glickman SW, Boulding W, Staelin R, et al. A framework for quality improvement: an analysis of factors responsible for improvement at hospitals participating in the Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the ACC/AHA Guidelines (CRUSADE) quality improvement initiative. Am Heart J 2007;154:1206-20.
43. Cannon CP, Hoekstra JW, Larson DM, et al. A report of quality improvement in the care of patients with acute coronary syndromes. Crit Pathw Cardiol 2011;10:29-34.
44. Grol R, Grimshaw J. From best evidence to best practice: effective implementation of change in patients' care. Lancet 2003;362: 1225-30.