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© 2018 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ) Background: Increased access to reperfusion for ST elevation myocardial infarction (STEMI) has contributed to reduced mortality internationally. We describe temporal trends in pre-hospital care, in-hospital management and outcomes of the STEMI population in Australia. Methods: Temporal trends with multiple regression analysis on the management and outcomes of STEMI patients enrolled across 46 Australian hospitals in the Australian cohort of the Global Registry of Acute Coronary Events (GRACE) and the Cooperative National Registry of Acute Coronary Care Guideline Adherence and Clinical Events (CONCORDANCE) between February 1999 and August 2016. Results: 4,110 patients were treated for STEMI, mean age 62.5 ± 13.7years (SD). The median door-to-balloon time of primary percutaneous coronary intervention (PPCI) decreased by 11 minutes (p < 0.01) although there was no increase in rates of PPCI (p = 0.35). Access to non-primary PCI increased by 39% (p < 0.01), provisioning of fibrinolysis decreased by 13% (p < 0.01) and the median door-to-needle time of 35 minutes remained unchanged (p = 0.09). Prescription of medical therapies in-hospital remained high, and at discharge there was an increase in prescription of statins (p < 0.01); aspirin including antiplatelets (p < 0.01), beta blockers (p = 0.023) and ACE/ARB (p = 0.02). The occurrence of any in-hospital adverse clinical events declined by 78% (p < 0.01) albeit, there was no reduction in mortality in-hospital (p = 0.84) or within 6 months (p = 0.81). Conclusions: Over time, there has been increased access to non-primary PCI; shorter door-to-balloon times for PPCI; less adverse events in-hospital and fewer readmissions for unplanned revascularisation without the realisation of reduced mortality in-hospital or at 6 months. Trial registration: CONCORDANCE Registry ACTRN: 1261400088

Background Despite guideline recommendation of dual antiplatelet therapy (DAPT) in treating ACS, DAPT is underutilized. Our objective was to determine independent predictors of DAPT non-prescription in ACS and describe pattern of DAPT prescription over time. Methods Patients presenting to 41 Australian hospitals with an ACS diagnosis between 2009 and 2016 were stratified according to discharge prescription with DAPT and single antiplatelet therapy (SAPT) or no antiplatelet therapy. Multiple stepwise logistic regression, accounting for within hospital clustering, was used to determine the independent predictors of DAPT non-prescription, defined as discharge with SAPT alone or no antiplatelet agent. Results 8939 patients survived to discharge with an ACS diagnosis. Of these, 6294 (70.4%) patients were discharged on DAPT, 2154 (24.1%) on SAPT and 491 (5.5%) on no antiplatelet agent. Independent predictors of DAPT non-prescription in the overall cohort were: in-hospital CABG (OR 0.09, 95%CI 0.05–0.14), discharge with warfarin (0.10 (0.07–0.14)), in hospital major bleeding (0.48 (0.34–0.67), diagnosis of unstable angina (0.35, (0.27–0.45)), non-ST-elevation myocardial infarction (0.67 (0.57–0.78)) [both vs. ST-segment elevation myocardial infarction], in hospital atrial arrhythmia (0.72 (0.60–0.86)), history of hypertension (0.83 (0.73–0.94)) and GRACE high risk (0.83 (0.71–0.98)). There was an increase in prescription of DAPT and a shift towards ticagrelor over clopidogrel for ACS from 2013 to 2016 (p < 0.0001), but no overall change in the frequency of DAPT prescription over the entire study period. Conclusion This study revealed high-risk ACS subgroups who do not receive optimal DAPT. Strategies are necessary to bridge the treatment gap in ACS antiplatelet management.

© The Author 2016. Aims Acute coronary syndrome (ACS) is a costly condition for health service provision yet variation in the delivery of care between hospitals persists. A composite measure of adherence with evidence-based clinical-process indicators (CPIs) could better inform hospital performance reporting and clinical outcomes in the management of ACS. Methods Data on 7444 ACS patients from 39 Australian hospitals were used to derive a hospital-specific composite quality score by calculating mean adherence to 14 evidence-based CPIs. Using the generalized estimating equation to account for clustering of patients within hospitals and the GRACE risk score to adjust for differences in presenting risk, we evaluated associations between the hospital-specific composite quality score, in-hospital major adverse events, in-hospital mortality and mortality and readmission for ACS at 6 months. Results Hospitals had a mean adherence of 68.3% (SD 21.7) with the composite quality score. There was significant variation between hospital adherence tertile 1 (79%) and tertile 3 (56%), P, 0.0001. With risk adjustment, there was an association between hospitals with a higher composite quality score and reduced in-hospital adverse events (OR: 0.85, CI: 0.71 - 0.99) and survival at hospital discharge (OR: 0.47; 95% CI: 0.28 - 0.77). There was trending improvement in survival at 6 months (OR 0.48; CI: 0.20 - 1.16) and fewer readmissions to hospital for ACS at 6 months (OR 0.79; CI 0.60 - 1.05). Conclusion The association between the quality composite score and reduced in-hospital events and survival at hospital discharge supports the utility of reporting CPIs in routine hospital performance reporting on the management of ACS.

Background Acute coronary syndrome (ACS) guidelines recommend that patients with chronic kidney disease (CKD) be offered the same therapies as other high-risk ACS patients with normal renal function. Our objective was to describe the gaps in evidence-based care offered to patients with ACS and concomitant CKD. Methods Patients presenting to 41 Australian hospitals with suspected ACS were stratified by presence of CKD (glomerular filtration rate <60 mL/min). Receipt of evidence-based care including, coronary angiography (CA), evidence-based discharge medications (EBMs), and cardiac rehabilitation (CR) referral, were compared between patients with and without CKD. Hospital and clinical factors that predicted receipt of care were determined using multilevel multivariable stepwise logistic regression models. Results Of the 4,778 patients admitted with suspected ACS, 1,227 had CKD. On univariate analyses, patients with CKD were less likely to undergo CA (59.1% vs 85.0%, P <.0001) or receive EBM (69.4% vs 78.7%, P <.0001), or were offered CR (49.5% vs 68.0%, P <.0001). After adjusting for patient characteristics and clustering by hospital, CKD remained an independent predictor of not undergoing CA only (odds ratio 0.48, 95% CI 0.37-0.61). Within the CKD cohort, presenting to a hospital with a catheterization laboratory was the strongest predictor of undergoing CA (odds ratio 3.07, 95% CI 1.91-4.93). Conclusion The presence of CKD independently predicts failure to undergo CA but not failure to receive EBM or CR, which is predicted by comorbidities. Among the CKD population, performance of CA is largely determined by admission to a catheterization capable hospital. Targeting these patients through standardization of care across institutions offers opportunities to improve outcomes in this high-risk population.Copyright © 2015 Elsevier Inc. All rights reserved.

Background: Cardiovascular observational registries characterise patients and describe the manner and use of therapeutic strategies. They facilitate analyses on the quality of care among participating institutions and document variations in clinical practice which can be benchmarked against best practice recommendations. The Cooperative National Registry of Acute Coronary care, Guideline Adherence and Clinical Events (CONCORDANCE) is an Australian observational registry that describes management and outcomes in patients with acute coronary syndromes (ACS) and feeds back both performance and outcome measures to participating hospitals. Method(s): The CONCORDANCE registry has been designed within a comparative effectiveness research (CER) framework to collect and report data from hospitals located in geographically diverse regions of Australia. Information including patient demographics, presenting characteristics, past medical history, in-hospital management and outcomes at six months and two years are entered into a web-based database using an electronic clinical record form (eCRF). Individual hospital information is returned to the sites in a real time confidential report detailing information on key performance indicator (KPI) process measures and outcomes benchmarked against the aggregated study cohort. Governance rules ensure data security and protect patient and clinician confidentiality. Consistent with a CER framework, additional characteristics of the registry include: (a) the capacity to evaluate associations between the inter and intra hospital systems and the provision of evidence based care and outcomes, (b) ongoing data collection from representative hospitals which allow spatial and temporal analysis of change in practice and the application of treatment modalities in the real world setting and (c) the provision of a data spine for quality improvement strategies and practical clinical trials. Conclusion(s): The CONCORDANCE registry is a clinician-drive