Metabolic cost of external work: a novel CPET parameter optimises characterisation of exercise performance in obese individuals.

Purpose: Both obesity and cardiorespiratory fitness are crucial determinants of symptoms and prognosis. However, interpreting the gold-standard cardiopulmonary exercise test (CPET) is complicated by increasing body size and varying body composition. We hypothesised that the 'metabolic cost of external work' (or oxygen uptake (ml/min)/workload (Watts); V̇O/W), a body weight-independent determinant of endurance capacity, would reflect metabolic health more accurately than V̇O alone.

Coronary CT angiography evaluation with artificial intelligence for individualized medical treatment of atherosclerosis: a Consensus Statement from the QCI Study Group.

Coronary CT angiography is widely implemented, with an estimated 2.2 million procedures in patients with stable chest pain every year in Europe alone. In parallel, artificial intelligence and machine learning are poised to transform coronary atherosclerotic plaque evaluation by improving reliability and speed.

Socioeconomic status, cardiovascular risk factors and coronary atherosclerosis: a SCOT-HEART trial analysis.

Aims: To investigate the relationship between socioeconomic status, plaque burden on coronary computed tomography angiography (CCTA), management and outcomes.

Methods: In a post-hoc analysis of a multicentre randomised control trial, we assessed associations between socioeconomic status and qualitative (stenosis, adverse plaque characteristics) and quantitative (total plaque, calcified plaque, non-calcified and low attenuation) CCTA plaque features and examined the interaction of socioeconomic status on cardiovascular outcomes.

Results: Socioeconomic status was available in 3948 participants of whom 1989 were randomised to CCTA and 1629 scans were suitable and available for quantitative plaque analysis.

Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.

Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite the development of many cardiac imaging AI algorithms, AI tools are at various stages of development and face challenges for clinical implementation. This scientific statement, endorsed by several societies in the field, provides an overview of the current landscape and challenges of AI applications in cardiac CT and MRI.

Proposed resources required for a comprehensive program for CCT CHD imaging.

Background: Cardiac Computed Tomography (CCT) is increasingly used for evaluation of congenital heart disease (CHD) in patients of all ages. Pediatric and adult congenital heart disease (ACHD) surgical programs require high quality CCT imaging as part of the multimodality imaging support expected of comprehensive care centers. Despite these expectations, there are no benchmarks or defined programmatic elements specific to the performance of CCT in patients with CHD.

Impact of diabetes mellitus on coronary artery plaque characteristics and outcomes in the SCOT-HEART trial.

Background: Diabetes mellitus is an established cardiovascular risk factor. We assessed the impact of diabetes mellitus on quantitative plaque and long-term outcomes in patients with and without diabetes mellitus in the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial.

Methods: Coronary artery calcium (CAC) was assessed on non-contrast computed tomography (CT).

Prevalence and Clinical Correlates of Radiologically Detected Coronary Artery Disease in Chronic Obstructive Pulmonary Disease: A Cross-Sectional Observational Study.

Unrecognized coronary artery disease (CAD) may contribute to adverse outcomes in chronic obstructive pulmonary disease (COPD). Improved identification of at-risk groups could inform better preventive care. We aimed to evaluate the burden and relationships of radiologically detectable CAD in COPD, establish the frequency of occult disease, and examine potential cardiovascular screening methods.

Exercise capacity following SARS-CoV-2 infection is related to changes in cardiovascular and lung function in military personnel.

Background: Since the COVID-19 pandemic, post-COVID syndrome (persistent symptoms/complications lasting >12 weeks) continues to pose medical and economic challenges. In military personnel, where optimal fitness is crucial, prolonged limitations affecting their ability to perform duties has occupational and psychological implications, impacting deployability and retention. Research investigating post-COVID syndrome exercise capacity and cardiopulmonary effects in military personnel is limited.

Intracardiac shunt assessment using CT coronary angiography.

Background: Detection of intracardiac shunts using CT Coronary Angiography (CTCA) is currently based on anatomical demonstration of defects. We assessed a novel technique using a standard CTCA test bolus in detecting shunts independent of anatomical assessment and to provide an estimate of Qp/Qs.

Methods: We retrospectively reviewed 51 CTCAs: twenty-one from patients with known simple left to right intracardiac shunts with contemporaneous functional assessment (using CMR) within 6 months, 20 controls with structurally normal hearts, and 10 patients with shunt repairs.

The Use and Efficacy of FFR-CT: Real-World Multicenter Audit of Clinical Data With Cost Analysis.

Background: Fractional flow reserve-computed tomography (FFR-CT) is endorsed by UK and U.S. chest pain guidelines, but its clinical effectiveness and cost benefit in real-world practice are unknown.

Computed tomographic angiography in coronary artery disease.

Coronary computed tomographic angiography (CCTA) is becoming the first-line investigation for establishing the presence of coronary artery disease and, with fractional flow reserve (FFR), its haemodynamic significance. In patients without significant epicardial obstruction, its role is either to rule out atherosclerosis or to detect subclinical plaque that should be monitored for plaque progression/regression following prevention therapy and provide risk classification. Ischaemic non-obstructive coronary arteries are also expected to be assessed by non-invasive imaging, including CCTA.

Contemporary cardiovascular computed tomography (CCT) training: Serial surveys of the international CCT community by the Fellow and Resident Leaders of the Society of Cardiovascular Computed Tomography (SCCT) Committee (FiRST) and SCCT Future Leaders Program (FLP).

Background: As cardiovascular computed tomography (CCT) practice evolves, the demand for specialists continues to increase. However, CCT training remains variable globally with limited contemporaneous data to understand this heterogeneity. We sought to understand the role of CCT globally and the training available to underpin its use.

Exercise tolerance, fatigue, mental health, and employment status at 5 and 12 months following COVID-19 illness in a physically trained population.

Failure to recover following severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) may have a profound impact on individuals who participate in high-intensity/volume exercise as part of their occupation/recreation. The aim of this study was to describe the longitudinal cardiopulmonary exercise function, fatigue, and mental health status of military-trained individuals (up to 12-mo postinfection) who feel recovered, and those with persistent symptoms from two acute disease severity groups (hospitalized and community-managed), compared with an age-, sex-, and job role-matched control. Eighty-eight participants underwent cardiopulmonary functional tests at baseline (5 mo following acute illness) and 12 mo; 25 hospitalized with persistent symptoms (hospitalized-symptomatic), 6 hospitalized and recovered (hospitalized-recovered); 28 community-managed with persistent symptoms (community-symptomatic); 12 community-managed, now recovered (community-recovered), and 17 controls.

National Trends in Coronary Artery Disease Imaging: Associations With Health Care Outcomes and Costs.

Background: In 2016, the National Institute for Health and Care Excellence Clinical Guideline Number 95 ("Chest pain of recent onset") (CG95) recommended coronary computed tomography angiography (CCTA) as the first-line test for possible angina.

Objectives: The purpose of this study was to determine the impact of temporal trends in imaging use on outcomes for coronary artery disease (CAD) following the CG95 recommendations.

Methods: Investigations from 2012 to 2018 were extracted from a national database and linked to hospital admission and mortality registries.

Cardiopulmonary, Functional, Cognitive and Mental Health Outcomes Post-COVID-19, Across the Range of Severity of Acute Illness, in a Physically Active, Working-Age Population.

Background: The COVID-19 pandemic has led to significant morbidity and mortality, with the former impacting and limiting individuals requiring high physical fitness, including sportspeople and emergency services.

Methods: Observational cohort study of 4 groups: hospitalised, community illness with on-going symptoms (community-symptomatic), community illness now recovered (community-recovered) and comparison. A total of 113 participants (aged 39 ± 9, 86% male) were recruited: hospitalised (n = 35), community-symptomatic (n = 34), community-recovered (n = 18) and comparison (n = 26), approximately five months following acute illness.

Exercise ECG for Screening in Military Aircrew.

The exercise electrocardiogram (ExECG), or stress test, is a widely used screening tool in occupational medicine designed to detect occult coronary artery disease, and assess performance capacity and cardiovascular fitness. In some guidelines, it is recommended for high-risk occupations in which occult disease could possibly endanger public safety. In aviation medicine, however, there is an ongoing debate on the use and periodicity of ExECG for screening of aircrew.

Altered lung physiology in two cohorts after COVID-19 infection as assessed by computed cardiopulmonography.

The longer-term effects of COVID-19 on lung physiology remain poorly understood. Here, a new technique, computed cardiopulmonography (CCP), was used to study two COVID-19 cohorts (MCOVID and C-MORE-LP) at both ∼6 and ∼12 mo after infection. CCP is comprised of two components.