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Background and Aim: Quantifying stroke incidence and mortality is crucial for disease surveillance and health system planning. Administrative data offer a cost-effective alternative to "gold standard" population-based studies. However, the optimal methodology for establishing stroke deaths from administrative data remains unclear. We aimed to determine the optimal method for identifying stroke-related deaths in administrative datasets as the fatal component of stroke incidence, comparing counts derived using underlying and all causes of death (CoD)., Method: Using whole-population multijurisdictional person-level linked data from hospital and death datasets from South Australia, the Northern Territory, and Western Australia, we identified first-ever stroke events between 2012 and 2015, using underlying CoD and all CoD to identify fatal stroke counts. We determined the 28-day case fatality for both counts and compared results with gold standard Australian population-based stroke incidence studies., Results: The total number of incident stroke events was 16,150 using underlying CoD and 18,074 using all CoD. Case fatality was 24.7% and 32.7% using underlying and all CoD, respectively. Case fatality using underlying CoD was similar to that observed in four Australian "gold standard" population-based studies (20%-24%)., Conclusions: Underlying CoD generates fatal incident stroke estimates more consistent with population-based studies than estimates based on stroke deaths identified from all-cause fields in death registers., Competing Interests: Conflicts of Interests There are no conflicts of interest to disclose., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: Adults <55 years of age comprise a quarter of all acute coronary syndromes (ACS) hospitalisations. There is a paucity of data characterising this group, particularly sex differences. This study aimed to compare the clinical and risk profile of patients with ACS aged <55 years with older counterparts, and measure short-term outcomes by age and sex., Method: The study population comprised patients with ACS enrolled in the AUS-Global Registry of Acute Coronary Events (GRACE), Cooperative National Registry of Acute Coronary Syndrome Care (CONCORDANCE) and SNAPSHOT ACS registries. We compared clinical features and combinations of major modifiable risk factors (hypertension, smoking, dyslipidaemia, and diabetes) by sex and age group (20-54, 55-74, 75-94 years). All-cause mortality and major adverse events were identified in-hospital and at 6-months., Results: There were 16,658 patients included (22.3% aged 20-54 years). Among them, 20-54 year olds had the highest proportion of ST-elevation myocardial infarction compared with sex-matched older age groups. Half of 20-54 year olds were current smokers, compared with a quarter of 55-74 year olds, and had the highest prevalence of no major modifiable risk factors (14.2% women, 12.7% men) and of single risk factors (27.6% women, 29.0% men), driven by smoking. Conversely, this age group had the highest proportion of all four modifiable risk factors (6.6% women, 4.7% men). Mortality at 6 months in 20-54 year olds was similar between men (2.3%) and women (1.7%), although lower than in older age groups., Conclusions: Younger adults with ACS are more likely to have either no risk factor, a single risk factor, or all four modifiable risk factors, than older patients. Targeted risk factor prevention and management is warranted in this age group., Competing Interests: Conflicts of Interest The funding sources and registry sponsors had no involvement in: the conception or design; collection, analysis, and interpretation of data; in the writing, review, or approval of the manuscript; and, in the decision to submit the manuscript for publication., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Sudden cardiac arrest (SCA) in young people aged 1 to 50 years often occurs with no presenting symptoms or risk factors prompting screening for cardiovascular disease prior to their cardiac arrest. Approximately 3,000 young Australians suffer from sudden cardiac death (SCD) each year, making this a major public health issue. However, there is significant variation in the way incidence is estimated resulting in discrepancy across reporting which impacts our ability to understand and prevent these devastating events. We describe the New South Wales (NSW) Sudden Cardiac Arrest Registry: a retrospective, data linkage study which will identify all SCAs in the young in NSW from 2009 through to June 2022., Objective: To determine the incidence, demographic characteristics and causes of SCA in young people. We will develop an NSW-based registry that will contribute to a greater understanding of SCA including risk factors and outcomes., Methods: The cohort will include all people who experience a SCA in the NSW community aged between 1 to 50 years. Cases will be identified using the following three datasets: the Out of Hospital Cardiac Arrest Register housed at NSW Ambulance, the NSW Emergency Department Data Collection, and the National Coronial Information System. Data from eight datasets will be collected, anonymised and linked for the entire cohort. Analysis will be undertaken and reported using descriptive statistics., Conclusions: The NSW SCA registry will be an important resource for the improved understanding of SCA and inform the widespread impacts it has on individuals, their families and society., (Copyright © 2023 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

Background: International Classification of Disease (ICD) codes are central for identifying myocardial infarction (MI) in administrative hospitalisation data, however validation of MI subtype codes is limited. We measured the sensitivity and specificity of ICD-10-AM (Australian Modification) codes for ST-elevation MI (STEMI) and non-STEMI (NSTEMI)., Methods: A sample of MI admissions was obtained from a dataset containing all MI hospitalisations in Western Australia (WA) for 2003, 2008 and 2013. Clinical data were collected from hospital medical records (n=799 patients). Cases were classified by ICD-10-AM codes for STEMI, NSTEMI and unspecified MI, and compared to clinical classification from review of available electrocardiographs (ECGs) and cardiac biomarkers (n=660). Sensitivity and specificity for ICD-10-AM coding versus clinical classification was measured, stratified by calendar year of discharge., Results: The majority of classifiable cases had MI recorded in the principal diagnosis field (STEMI n=293, 84.2%; NSTEMI n=202, 74.3%; unspecified MI n=20, 50.0%). Overall sensitivity of the ICD-10-AM STEMI code was 86.3% (95% CI 81.7-90.0%) and was higher when restricted to MI as a principal versus secondary diagnosis (88.8% vs 66.7%). Comparable values for NSTEMI were 66.7% (95% CI 61.5-71.6%), and 68.8% vs 61.4% respectively. Between 2003 and 2013, sensitivity for both MI subtypes increased: 80.2-89.5% for STEMI, and 51.2-73.8% for NSTEMI. Specificity was high for NSTEMI throughout (88.2% 95% CI 84.1-91.6%), although improving over time for STEMI (68.1-76.4%)., Conclusions: The sensitivity and specificity of ICD-10-AM codes for MI subtypes in hospitalisation data are generally high, particularly for principal diagnosis cases. However, the temporal improvement in sensitivity in coding of MI subtypes, particularly NSTEMI, may necessitate modification to trend studies using administrative hospitalisation data., (Copyright © 2021 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). All rights reserved.)

Cardiovascular diseases (CVD) are leading causes of death and morbidity in Australia and worldwide. Despite improvements in treatment, there remain large gaps in our understanding to prevent, treat and manage CVD events and associated morbidities. This article lays out a vision for enhancing CVD research in Australia through the development of a Big Data system, bringing together the multitude of rich administrative and health datasets available. The article describes the different types of Big Data available for CVD research in Australia and presents an overview of the potential benefits of a Big Data system for CVD research and some of the major challenges in establishing the system for Australia. The steps for progressing this vision are outlined., (Copyright © 2021 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

Background: Community-wide trends data for sudden cardiac death (SCD) are scarce, unlike widely reported declines in cardiovascular disease (CVD) mortality. Using administrative data, we aimed to examine population-level trends in SCD, stratified by sex, age and prior CVD hospitalisation., Methods: Person-linked mortality and hospital morbidity data were used to identify SCD and determine hospitalisation and comorbidity using a 10-year hospitalisation lookback period. Log-linear Poisson regression was used to calculate annual rate changes and rate ratios., Results: In Western Australia, 7160 SCD cases were identified from 1997 to 2010 with males comprising 69%. Overall age-standardised SCD rates decreased by 17% in men and 31% in women from 1997-2001 to 2007-2010. The annual rate reduction was higher in women than men (-4.0%/year versus -2.3%/year; p=0.0039). Significant reductions were observed for 55-69 year-old and 70-84 year-old men and women but not for the 35-54 year-olds. The overall relative risk comparing men to women increased slightly from 2.4 in 1997 to 3.0 in 2010 (trend p=0.0039) but differed across age groups. The relative risk declined in 35-54 year-olds from 5.1 to 3.2 whereas it increased from 2.9 to 3.9 in 55-69 year-olds and 1.9 to 2.3 in 70-84 year-olds. Declining trends in SCD rates were observed in those with and without prior CVD and were similar to CVD mortality trends (-4.9%/year in men and -5.5%/year in women)., Conclusions: Trends in rates of SCD fell in middle to older aged men and women, with and without CVD, and mirrored the fall in fatal CVD. Limited improvement in 35-54 year-olds requires further investigation., (Copyright © 2017 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

Background: Higher mortality following myocardial infarction (MI) is reported in women compared with men with short-term follow-up. Our study aim was to compare long-term gender- and age-specific outcomes following incident MI., Methods: 30-day survivors of incident MI from 2003-2009 were identified from linked administrative data in Western Australia. Outcomes identified were recurrent MI, and cardiovascular and all-cause mortality. Follow-up data was available until 30(th) June 2011. Unadjusted risk out to eight-years was estimated from Kaplan-Meier survival curves, and multivariate Cox regression models were used to estimate relative risk in women compared with men by age group., Results: There were 12,420 30-day survivors of incident MI from 2003-2009 (males 71.2%). Women had higher levels of comorbidities across all age groups compared with men. Unadjusted event risks were higher in women than men overall, underpinned by higher risk of recurrent MI in 55-69 year-old women and of cardiovascular mortality across all age groups in women. Gender differences were generally attenuated after adjustment for demographic factors and comorbidities., Conclusions: This study highlights the elevated risk of cardiovascular events in women compared with men with long-term follow-up, and demonstrates the need for improved long-term secondary prevention in this patient group., (Crown Copyright © 2014. Published by Elsevier B.V. All rights reserved.)