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Tom Briffa

Explore the profile of Tom Briffa including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 115
Citations 1487
Followers 0
Related Specialties
Cardiology & Vascular Diseases
Pulmonary Medicine
General Medicine
Top 10 Co-Authors
Julie Redfern
Joseph Hung
Derek P Chew
Robyn Gallagher
Karice Hyun
David Brieger
Lee Nedkoff
Lis Neubeck
Adrian Bauman
Christopher M Reid
Published In
Heart Lung Circ
Int J Cardiol
Heart
BMC Cardiovasc Disord
Am Heart J
Affiliations
Soon will be listed here.
Recent Articles
1.
Re-engineering the clinical approach to suspected cardiac chest pain assessment in the emergency department by expediting research evidence to practice using artficial intelligence. (RAPIDx AI) - a cluster randomised study design
Khan E, Lambrakis K, Briffa T, Cullen L, Karnon J, Papendick C, et al.
Am Heart J . 2025 Feb; PMID: 39993551
Background: Clinical work-up for suspected cardiac chest pain is resource intensive. Despite expectations, high-sensitivity cardiac troponin assays have not made decision making easier. The impact of recently validated rapid triage...
2.
Psychosocial Well-Being and Healthy Eating in Cardiac Rehabilitation: A National Survey of Cardiac Rehabilitation Practitioners Self-Reported Practices
Gauci S, Chaseling G, Cartledge S, West M, Zhang L, Zwack C, et al.
Heart Lung Circ . 2025 Feb; PMID: 39961743
Background: Psychosocial well-being and nutritional counselling are important components of cardiac rehabilitation endorsed by national and international guidelines. However, both areas can be complex for cardiac rehabilitation practitioners to navigate....
3.
Prognostic Implications of Machine Learning Algorithm-Supported Diagnostic Classification of Myocardial Injury Using the Fourth Universal Definition of Myocardial Infarction
Lambrakis K, Khan E, Liao Z, Gerlach J, Nelson A, Goodman S, et al.
Heart Lung Circ . 2025 Feb; PMID: 39947992
Background: With widespread adoption of high-sensitivity troponin assays, more individuals with myocardial injury are now identified, with type 1 myocardial infarction (T1MI) being less common despite having the most well-established...
4.
Heart2Heart: a digital peer support programme for people with heart disease: protocol for a community-based, investigator-blinded randomised controlled trial conducted in Australia
Redfern J, Li E, Maiorana A, Zecchin R, Hyun K, Shi W, et al.
BMJ Open . 2025 Feb; 15(2):e088740. PMID: 39947825
Introduction: Cardiac rehabilitation is known to reduce morbidity and improve quality of life in people living with heart disease, however, adherence, access and completion of these programmes is suboptimal. Peer...
5.
Transitioning to high-sensitivity troponin: 1-year mortality outcomes in patients with suspected acute coronary syndrome presenting to emergency departments
Hickling S, Sanfilippo F, Cullen L, Chew D, Hillis G, Fatovich D, et al.
Heart . 2025 Jan; PMID: 39819623
Background: Switching from a conventional to a high-sensitivity cardiac troponin (hs-cTn) assay enables detection of smaller amounts of myocardial damage, but the clinical benefit is unclear. We investigated whether switching...
6.
Implementation of a data-driven quality improvement program in primary care for patients with coronary heart disease: a mixed methods evaluation of acceptability, satisfaction, barriers and enablers
Hafiz N, Hyun K, Tu Q, Knight A, Chow C, Hespe C, et al.
Aust J Prim Health . 2025 Jan; 31. PMID: 39808521
Background The study aimed to understand the acceptability, satisfaction, uptake, utility and feasibility of a quality improvement (QI) intervention to improve care for coronary heart disease (CHD) patients in Australian...
7.
Comparative Algorithms for Identifying and Counting Hospitalisation Episodes of Care for Coronary Heart Disease Using Administrative Data
Lopez D, Lu J, Sanfilippo F, Katzenellenbogen J, Briffa T, Nedkoff L
Clin Epidemiol . 2025 Jan; 16:921-928. PMID: 39741528
Purpose: Measures of disease burden using hospital administrative data are susceptible to over-inflation if the patient is transferred during their episode of care. We aimed to identify and compare measures...
8.
Machine-Learning for Phenotyping and Prognostication of Myocardial Infarction and Injury in Suspected Acute Coronary Syndrome
Khan E, Lambrakis K, Liao Z, Gerlach J, Briffa T, Cullen L, et al.
JACC Adv . 2024 Oct; 3(9):101011. PMID: 39372465
Background: Clinical work-up for suspected acute coronary syndrome (ACS) is resource intensive. Objectives: This study aimed to develop a machine learning model for digitally phenotyping myocardial injury and infarction and...
9.
Cardiac rehabilitation and secondary prevention of CVD: time to think about cardiovascular health rather than rehabilitation
Redfern J, Gallagher R, Maiorana A, Candelaria D, Hollings M, Gauci S, et al.
NPJ Cardiovasc Health . 2024 Oct; 1(1):22. PMID: 39359645
During the past century, there have been major developments in the medical and surgical treatment of cardiovascular disease (CVD). These advancements have resulted in more people surviving initial events and...
10.
Data-driven collaborative QUality improvement in Cardiac Rehabilitation (QUICR) to increase program completion: protocol for a cluster randomized controlled trial
Candelaria D, Redfern J, ONeil A, Brieger D, Clark R, Briffa T, et al.
BMC Cardiovasc Disord . 2024 Jun; 24(1):302. PMID: 38877422
Background: Coronary heart disease (CHD) is the leading cause of deaths and disability worldwide. Cardiac rehabilitation (CR) effectively reduces the risk of future cardiac events and is strongly recommended in...