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Livori MClinPharm AC, Ademi Z, Ilomäki J, Pol D, Morton JI, Bell JS. Use of secondary prevention medications in metropolitan and non-metropolitan areas: an analysis of 41,925 myocardial infarctions in Australia. Eur J Prev Cardiol 2023:zwad360. [PMID: 37987181 DOI: 10.1093/eurjpc/zwad360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/08/2023] [Accepted: 11/16/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND People in remote areas may have more difficulty accessing healthcare following myocardial infarction (MI) than people in metropolitan areas. We determined whether remoteness was associated with initial and 12-month use of secondary prevention medications following MI in Victoria, Australia. METHOD We included all people alive at least 90 days post-discharge following MI between July 2012 and June 2017 in Victoria, Australia (n=41,925). We investigated dispensing of P2Y12 inhibitors (P2Y12i), statins, ACE-inhibitors or angiotensin receptor blockers (ACEI/ARBs), and beta-blockers within 90 days post-discharge. We estimated 12-month medication use using proportion of days covered (PDC). Remoteness was determined using the Accessibility/Remoteness Index of Australia (ARIA). Data were analyzed using adjusted parametric regression models stratified by STEMI and NSTEMI. RESULTS There were 10,819 STEMI admissions and 31,106 NSTEMI admissions. Following adjustment across NSTEMI and STEMI, there were no medication classes dispensed in the 90-days post-discharge that differed in a clinically significant way from the least remote (ARIA=0) to the most remote (ARIA=4.8) areas. The largest difference for NSTEMI were ACEi/ARB, with 71%(95%CI 70-72%) versus 80%(76%-83%). For STEMI, it was statins with 89%(88-90%) versus 95%(91-97%). Predicted PDC for STEMI and NSTEMI were not clinically significant across remoteness, with the largest difference in NSTEMI being P2Y12i with 48%(47-50%) versus 55%(51-59%), and in STEMI it was ACEi/ARB with 68%(67-69%) versus 76%(70-80%). CONCLUSION Remoteness does not appear to be a clinically significant driver for medication use following MI. Possible differences in cardiovascular outcomes in metropolitan and non-metropolitan areas are not likely to be explained by access to secondary prevention medications.
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Affiliation(s)
- Adam C Livori MClinPharm
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical, Sciences, Monash University, Melbourne, VIC, Australia
- Grampians Health, Ballarat, VIC, Australia
| | - Zanfina Ademi
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical, Sciences, Monash University, Melbourne, VIC, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Monash Data Futures Institute, Monash University, Melbourne, VIC, Australia
| | - Jenni Ilomäki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical, Sciences, Monash University, Melbourne, VIC, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Derk Pol
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Jedidiah I Morton
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical, Sciences, Monash University, Melbourne, VIC, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical, Sciences, Monash University, Melbourne, VIC, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Monash Data Futures Institute, Monash University, Melbourne, VIC, Australia
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2
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Moady G, Ovdat T, Rubinshtein R, Eitan A, Daud E, Arow Z, Atar S. The impact of on-site cardiac surgical backup on clinical outcomes of acute coronary syndrome-analysis of the ACSIS national registry. Front Cardiovasc Med 2023; 10:1207473. [PMID: 37727307 PMCID: PMC10505675 DOI: 10.3389/fcvm.2023.1207473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 08/21/2023] [Indexed: 09/21/2023] Open
Abstract
Background The availability of advanced technologies for mechanical support in hospitals with on-site cardiac surgery (CS), along with the ability to perform urgent coronary artery bypass graft (CABG) surgery, may result in improved clinical outcomes in patients with acute coronary syndrome (ACS). Methods We conducted a retrospective analysis of the bi-annually Acute Coronary Syndrome Israeli Survey (ACSIS) registry from the year 2000 to 2020, performed in hospitals with and without CS. Mortality rates and major adverse cardiac and cerebrovascular events (MACCE) rates are reported. We evaluated two periods of the study-early (2000-2010) vs. late (2011-2020). Propensity score matching was performed to reduce bias between the two groups. Results The study included 16,979 patients (52.3% in the on-site CS group). Patients in the on-site CS group were more likely to undergo percutaneous coronary intervention (PCI), (odds ratio [OR], 1.26 [95% CI, 1.18-1.35]; p < 0.001) and CABG [OR, 1.91 (95%CI, 1.63-2.24); P < 0.001], and patients in hospitals without on-site CS had higher 30-day MACCE [OR, 1.17 (95% CI, 1.07-1.27); p < 0.0005]. Overall, there was no difference in 1-year mortality (hazard ratio [HR], 0.98 [95% CI, 0.89-1.08]; p = 0.71) between the groups. During the late period of the study, patients in the group without on-site CS had lower 30-day mortality [OR, 0.69 (95% CI, 0.49-0.97); P = 0.04], yet with no difference in 1-year mortality [HR, 0.81 (95% CI, 0.65-1.01); p = 0.07]. Conclusions The availability of on-site CS resulted in variations in treatment modality, yet it did not affect the clinical outcomes of ACS. A trend to a better short-term outcomes was noted in hospitals without CS during the late period of the study, which warrants further investigation.
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Affiliation(s)
- Gassan Moady
- Department of Cardiology, Galilee Medical Center, Nahariya, Israel
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Tal Ovdat
- The Israeli Center of Cardiovascular Research, Tel Hashomer, Israel
| | - Ronen Rubinshtein
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Heart Institute, Edith Wolfson Medical Center, Holon, Israel
| | - Amnon Eitan
- Department of Cardiology, Carmel Medical Center, Haifa, Israel
| | - Elias Daud
- Department of Cardiology, Galilee Medical Center, Nahariya, Israel
| | - Ziad Arow
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Cardiology, Meir Medical Center, Kfar Saba, Israel
| | - Shaul Atar
- Department of Cardiology, Galilee Medical Center, Nahariya, Israel
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
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Qin X, Hung J, Knuiman MW, Briffa TG, Teng THK, Sanfilippo FM. Evidence-based medication adherence among seniors in the first year after heart failure hospitalisation and subsequent long-term outcomes: a restricted cubic spline analysis of adherence-outcome relationships. Eur J Clin Pharmacol 2023; 79:553-567. [PMID: 36853386 PMCID: PMC10039095 DOI: 10.1007/s00228-023-03467-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 02/06/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE Non-adherence to heart failure (HF) medications is associated with poor outcomes. We used restricted cubic splines (RCS) to assess the continuous relationship between adherence to renin-angiotensin system inhibitors (RASI) and β-blockers and long-term outcomes in senior HF patients. METHODS We identified a population-based cohort of 4234 patients, aged 65-84 years, 56% male, who were hospitalised for HF in Western Australia between 2003 and 2008 and survived to 1-year post-discharge (landmark date). Adherence was calculated using the proportion of days covered (PDC) in the first year post-discharge. RCS Cox proportional-hazards models were applied to determine the relationship between adherence and all-cause death and death/HF readmission at 1 and 3 years after the landmark date. RESULTS RCS analysis showed a curvilinear adherence-outcome relationship for both RASI and β-blockers which was linear above PDC 60%. For each 10% increase in RASI and β-blocker adherence above this level, the adjusted hazard ratio for 1-year all-cause death fell by an average of 6.6% and 4.8% respectively (trend p < 0.05) and risk of all-cause death/HF readmission fell by 5.4% and 5.8% respectively (trend p < 0.005). Linear reductions in adjusted risk for these outcomes at PDC ≥ 60% were also seen at 3 years after landmark date (all trend p < 0.05). CONCLUSION RCS analysis showed that for RASI and β-blockers, there was no upper adherence level (threshold) above 60% where risk reduction did not continue to occur. Therefore, interventions should maximise adherence to these disease-modifying HF pharmacotherapies to improve long-term outcomes after hospitalised HF.
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Affiliation(s)
- Xiwen Qin
- School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Joseph Hung
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Matthew W Knuiman
- School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Tom G Briffa
- School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Tiew-Hwa Katherine Teng
- School of Population and Global Health, University of Western Australia, Perth, WA, Australia
- National Heart Centre Singapore, Singapore, Singapore
| | - Frank M Sanfilippo
- School of Population and Global Health, University of Western Australia, Perth, WA, Australia.
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Beauchamp A, Talevski J, Nicholls SJ, Wong Shee A, Martin C, Van Gaal W, Oqueli E, Ananthapavan J, Sharma L, O'Neil A, Brennan-Olsen SL, Jessup RL. Health literacy and long-term health outcomes following myocardial infarction: protocol for a multicentre, prospective cohort study (ENHEARTEN study). BMJ Open 2022; 12:e060480. [PMID: 35523501 PMCID: PMC9083432 DOI: 10.1136/bmjopen-2021-060480] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Low health literacy is common in people with cardiovascular disease and may be one factor that affects an individual's ability to maintain secondary prevention health behaviours following myocardial infarction (MI). However, little is known about the association between health literacy and longer-term health outcomes in people with MI. The ENhancing HEAlth literacy in secondary pRevenTion of cardiac evENts (ENHEARTEN) study aims to examine the relationship between health literacy and a number of health outcomes (including healthcare costs) in a cohort of patients following their first MI. Findings may provide evidence for the significance of health literacy as a predictor of long-term cardiac outcomes. METHODS AND ANALYSIS ENHEARTEN is a multicentre, prospective observational study in a convenience sample of adults (aged >18 years) with their first MI. A total of 450 patients will be recruited over 2 years across two metropolitan health services and one rural/regional health service in Victoria, Australia. The primary outcome of this study will be all-cause, unplanned hospital admissions within 6 months of index admission. Secondary outcomes include cardiac-related hospital admissions up to 24 months post-MI, emergency department presentations, health-related quality of life, mortality, cardiac rehabilitation attendance and healthcare costs. Health literacy will be observed as a predictor variable and will be determined using the 12-item version of the European Health Literacy Survey (HLS-Q12). ETHICS AND DISSEMINATION Ethics approval for this study has been received from the relevant human research ethics committee (HREC) at each of the participating health services (lead site Monash Health HREC; approval number: RES-21-0000-242A) and Services Australia HREC (reference number: RMS1672). Informed written consent will be sought from all participants. Study results will be published in peer-reviewed journals and collated in reports for participating health services and participants. TRIAL REGISTRATION NUMBER ACTRN12621001224819.
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Affiliation(s)
- Alison Beauchamp
- School of Rural Health, Monash University, Warragul, Victoria, Australia
- Department of Medicine - Western Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jason Talevski
- School of Rural Health, Monash University, Warragul, Victoria, Australia
- Department of Medicine - Western Health, The University of Melbourne, Melbourne, Victoria, Australia
- Institute for Physical Activity and Nutrition Research (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Stephen J Nicholls
- Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University, Clayton, Victoria, Australia
| | - Anna Wong Shee
- Allied Health, Ballarat Health Services - Grampians Health, Ballarat, Victoria, Australia
- Deakin Rural Health, Deakin University, Ballarat, Victoria, Australia
| | - Catherine Martin
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Data Science and AI, Monash University, Melbourne, Victoria, Australia
| | - William Van Gaal
- Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
- Department of Cardiology, The Northern Hospital, Melbourne, Victoria, Australia
| | - Ernesto Oqueli
- School of Medicine, Deakin University, Burwood, Victoria, Australia
- Cardiology, Ballarat Health Services - Grampians Health, Ballarat, Vic, Australia
| | - Jaithri Ananthapavan
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Laveena Sharma
- School of Rural Health, Monash University, Warragul, Victoria, Australia
- Monash Heart, Monash Health, Clayton, Victoria, Australia
| | - Adrienne O'Neil
- Institute for Mental and Physical Health and Clinical Training, Food & Mood Centre, Deakin University, Geelong, Victoria, 3220
| | - Sharon Lee Brennan-Olsen
- School of Health and Social Development, Deakin University - Geelong Waterfront Campus, Geelong, Victoria, Australia
| | - Rebecca Leigh Jessup
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
- Staying Well Programs, Northern Health, Melbourne, Victoria, Australia
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Beauchamp A, Talevski J, Niebauer J, Gutenberg J, Kefalianos E, Mayr B, Sareban M, Kulnik ST. Health literacy interventions for secondary prevention of coronary artery disease: a scoping review. Open Heart 2022; 9:openhrt-2021-001895. [PMID: 35064057 PMCID: PMC8785201 DOI: 10.1136/openhrt-2021-001895] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/05/2022] [Indexed: 01/17/2023] Open
Abstract
Deficits in health literacy are common in patients with coronary artery disease (CAD), and this is associated with increased morbidity and mortality. In this scoping review, we sought to identify health literacy interventions that aimed to improve outcomes in patients with CAD, using a contemporary conceptual model that captures multiple aspects of health literacy. We searched electronic databases for studies published since 2010. Eligible were studies of interventions supporting patients with CAD to find, understand and use health information via one of the following: building social support for health; empowering people with lower health literacy; improving interaction between patients and the health system; improving health literacy capacities of clinicians or facilitating access to health services. Studies were assessed for methodological quality, and findings were analysed through qualitative synthesis. In total, 21 studies were included. Of these, 10 studies aimed to build social support for health; 6 of these were effective, including those involving partners or peers. Five studies targeted interaction between patients and the health system; four of these reported improved outcomes, including through use of teach-back. One study addressed health literacy capacities of clinicians through communication training, and two facilitated access to health services via structured follow-up—all reporting positive outcomes. Health literacy is a prerequisite for CAD patients to self-manage their health. Through use of a conceptual framework to describe health literacy interventions, we identified mechanisms by which patients can be supported to improve health outcomes. Our findings warrant integration of these interventions into routine clinical practice.
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Affiliation(s)
- Alison Beauchamp
- Monash Rural Health, Monash University, Warragul, Victoria, Australia .,Department of Medicine-Western Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jason Talevski
- Monash Rural Health, Monash University, Warragul, Victoria, Australia.,Department of Medicine-Western Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Josef Niebauer
- University Institute of Sports Medicine, Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University, Salzburg, Austria.,Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria
| | - Johanna Gutenberg
- Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.,CAPHRI Department of Health Promotion, Maastricht University, Maastricht, The Netherlands
| | | | - Barbara Mayr
- University Institute of Sports Medicine, Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University, Salzburg, Austria.,Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria
| | - Mahdi Sareban
- University Institute of Sports Medicine, Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University, Salzburg, Austria.,Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria
| | - Stefan Tino Kulnik
- Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.,Faculty of Health, Social Care and Education, Kingston University and St George's, University of London, London, UK
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Dalli LL, Kim J, Cadilhac DA, Greenland M, Sanfilippo FM, Andrew NE, Thrift AG, Grimley R, Lindley RI, Sundararajan V, Crompton DE, Lannin NA, Anderson CS, Whiley L, Kilkenny MF. Greater Adherence to Secondary Prevention Medications Improves Survival After Stroke or Transient Ischemic Attack: A Linked Registry Study. Stroke 2021; 52:3569-3577. [PMID: 34315251 DOI: 10.1161/strokeaha.120.033133] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Although a target of 80% medication adherence is commonly cited, it is unclear whether greater adherence improves survival after stroke or transient ischemic attack (TIA). We investigated associations between medication adherence during the first year postdischarge, and mortality up to 3 years, to provide evidence-based targets for medication adherence. METHODS Retrospective cohort study of 1-year survivors of first-ever stroke or TIA, aged ≥18 years, from the Australian Stroke Clinical Registry (July 2010-June 2014) linked with nationwide prescription refill and mortality data (until August 2017). Adherence to antihypertensive agents, statins, and nonaspirin antithrombotic medications was based on the proportion of days covered from discharge until 1 year. Cox regression with restricted cubic splines was used to investigate nonlinear relationships between medication adherence and all-cause mortality (to 3 years postdischarge). Models were adjusted for age, sex, socioeconomic position, stroke factors, primary care factors, and concomitant medication use. RESULTS Among 8363 one-year survivors of first-ever stroke or TIA (44% aged ≥75 years, 44% female, 18% TIA), 75% were supplied antihypertensive agents. In patients without intracerebral hemorrhage (N=7446), 84% were supplied statins, and 65% were supplied nonaspirin antithrombotic medications. Median adherence was ≈90% for each medication group. Between 1% and 100% adherence, greater adherence to statins or antihypertensive agents, but not nonaspirin antithrombotic agents, was associated with improved survival. When restricted to linear regions above 60% adherence, each 10% increase in adherence was associated with a reduction in all-cause mortality of 13% for antihypertensive agents (hazard ratio, 0.87 [95% CI, 0.81-0.95]), 13% for statins (hazard ratio, 0.87 [95% CI, 0.80-0.95]), and 15% for nonaspirin antithrombotic agents (hazard ratio, 0.85 [95% CI, 0.79-0.93]). CONCLUSIONS Greater levels of medication adherence after stroke or TIA are associated with improved survival, even among patients with near-perfect adherence. Interventions to improve medication adherence are needed to maximize survival poststroke.
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Affiliation(s)
- Lachlan L Dalli
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Central Clinical School, Monash University, VIC, Australia. (L.L.D., J.K., D.A.C., A.G.T., R.G., M.F.K.)
| | - Joosup Kim
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Central Clinical School, Monash University, VIC, Australia. (L.L.D., J.K., D.A.C., A.G.T., R.G., M.F.K.).,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, VIC, Australia (J.K., D.A.C., M.F.K.)
| | - Dominique A Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Central Clinical School, Monash University, VIC, Australia. (L.L.D., J.K., D.A.C., A.G.T., R.G., M.F.K.).,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, VIC, Australia (J.K., D.A.C., M.F.K.)
| | - Melanie Greenland
- Oxford Vaccine Group, Department of Paediatrics, Centre for Clinical Vaccinology and Tropical Medicine, Churchill Hospital, United Kingdom (M.G.).,Nuffield Department of Population Health, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, United Kingdom (M.G.)
| | - Frank M Sanfilippo
- School of Population and Global Health, The University of Western Australia, Perth (F.M.S.)
| | - Nadine E Andrew
- Peninsula Clinical School, Central Clinical School, Monash University, VIC, Australia. (N.E.A.)
| | - Amanda G Thrift
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Central Clinical School, Monash University, VIC, Australia. (L.L.D., J.K., D.A.C., A.G.T., R.G., M.F.K.)
| | - Rohan Grimley
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Central Clinical School, Monash University, VIC, Australia. (L.L.D., J.K., D.A.C., A.G.T., R.G., M.F.K.).,Sunshine Coast Clinical School, School of Medicine, Griffith University, Birtinya, QLD, Australia (R.G.)
| | - Richard I Lindley
- Faculty of Medicine and Health, The University of Sydney, NSW, Australia (R.I.L.)
| | - Vijaya Sundararajan
- Department of Public Health, La Trobe University, Bundoora, VIC, Australia (V.S.)
| | - Douglas E Crompton
- Department of Neurology, Northern Health, Epping, VIC, Australia (D.E.C.)
| | - Natasha A Lannin
- Department of Neuroscience, Central Clinical School, Monash University, VIC, Australia. (N.A.L.).,Alfred Health, Melbourne, VIC, Australia (N.A.L.)
| | - Craig S Anderson
- The George Institute for Global Health, Sydney, NSW, Australia (C.S.A.).,The George Institute for Global Health, Peking University Health Science Center, China (C.S.A.)
| | | | - Monique F Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Central Clinical School, Monash University, VIC, Australia. (L.L.D., J.K., D.A.C., A.G.T., R.G., M.F.K.).,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, VIC, Australia (J.K., D.A.C., M.F.K.)
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