OBJECTIVE: To determine whether acute risk factors (ARF) and chronic risk factors (CRF) contribute differently to the use of evidence-based treatments (EBT) for patients with acute coronary syndromes (ACS). DESIGN: Data were collected through a prospective audit of patients with ACS. Management was analysed by the presence of acute myocardial risk factors and chronic comorbid risk factors at presentation. SETTING: 39 hospitals across Australia. PATIENTS: 2599 adults presenting with ACS. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Use of EBT, in-hospital and 12-month death, recurrent myocardial infarction and bleeding. RESULTS: The number of ARF and CRF at presentation predicted in-hospital and 12-month death, recurrent myocardial infarction and bleeding. Patients with higher numbers of ARF were more likely to receive EBT (aspirin at presentation, 81.1% for zero ARF to 85.7% for > or =3 ARF, p<0.001; angiography 45.9% to 67.5%, p<0.001; reperfusion for ST elevation 50% to 70%, p = 0.392; beta blocker at discharge 66.5% to 74.4%, p<0.001). Patients with higher numbers of CRF were less likely to receive EBT (aspirin at presentation 90.4% for zero CRF to 68.8% for > or =4 CRF, p<0.001; angiography 78.8% to 24.7%, p<0.001; reperfusion for ST elevation 73.4% to 30%; p<0.001, beta blocker at discharge 75.2% to 55.6%; p<0.001). In multivariate regression analysis, ARF and CRF were the strongest predictors of receiving or failing to receive EBT, respectively. CONCLUSIONS: Patients presenting with many ARF are more likely to receive EBT, while patients presenting with many CRF are less likely to receive them. This has important implications for future quality-improvement efforts.
OBJECTIVE: To determine whether acute risk factors (ARF) and chronic risk factors (CRF) contribute differently to the use of evidence-based treatments (EBT) for patients with acute coronary syndromes (ACS). DESIGN: Data were collected through a prospective audit of patients with ACS. Management was analysed by the presence of acute myocardial risk factors and chronic comorbid risk factors at presentation. SETTING: 39 hospitals across Australia. PATIENTS: 2599 adults presenting with ACS. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Use of EBT, in-hospital and 12-month death, recurrent myocardial infarction and bleeding. RESULTS: The number of ARF and CRF at presentation predicted in-hospital and 12-month death, recurrent myocardial infarction and bleeding. Patients with higher numbers of ARF were more likely to receive EBT (aspirin at presentation, 81.1% for zero ARF to 85.7% for > or =3 ARF, p<0.001; angiography 45.9% to 67.5%, p<0.001; reperfusion for ST elevation 50% to 70%, p = 0.392; beta blocker at discharge 66.5% to 74.4%, p<0.001). Patients with higher numbers of CRF were less likely to receive EBT (aspirin at presentation 90.4% for zero CRF to 68.8% for > or =4 CRF, p<0.001; angiography 78.8% to 24.7%, p<0.001; reperfusion for ST elevation 73.4% to 30%; p<0.001, beta blocker at discharge 75.2% to 55.6%; p<0.001). In multivariate regression analysis, ARF and CRF were the strongest predictors of receiving or failing to receive EBT, respectively. CONCLUSIONS:Patients presenting with many ARF are more likely to receive EBT, while patients presenting with many CRF are less likely to receive them. This has important implications for future quality-improvement efforts.
Authors: Derek P Chew; Karice Hyun; Erin Morton; Matt Horsfall; Graham S Hillis; Clara K Chow; Stephen Quinn; Mario D'Souza; Andrew T Yan; Chris P Gale; Shaun G Goodman; Keith Fox; David Brieger Journal: JAMA Cardiol Date: 2021-03-01 Impact factor: 14.676
Authors: Ronald Huynh; Karice Hyun; Mario D'Souza; Nadarajah Kangaharan; Pratap C Shetty; Justin Mariani; Jens Kilian; Joseph Hung; Mark Ryan; Derek P Chew; David Brieger Journal: Clin Cardiol Date: 2019-06-19 Impact factor: 2.882
Authors: Michael O Falster; Andrea L Schaffer; Andrew Wilson; Arthur Nasis; Louisa R Jorm; Melanie Hay; Kira Leeb; Sallie-Anne Pearson; David Brieger Journal: Intern Med J Date: 2022-02 Impact factor: 2.611