Artificial intelligence and cardiovascular magnetic resonance imaging in myocardial infarction patients.

Cardiovascular magnetic resonance (CMR) is an important cardiac imaging tool for assessing the prognostic extent of myocardial injury after myocardial infarction (MI). Within the context of clinical trials, CMR is also useful for assessing the efficacy of potential cardioprotective therapies in reducing MI size and preventing adverse left ventricular (LV) remodelling in reperfused MI. However, manual contouring and analysis can be time-consuming with interobserver and intraobserver variability, which can in turn lead to reduction in accuracy and precision of analysis. There is thus a need to automate CMR scan analysis in MI patients to save time, increase accuracy, increase reproducibility and increase precision. In this regard, automated imaging analysis techniques based on artificial intelligence (AI) that are developed with machine learning (ML), and more specifically deep learning (DL) strategies, can enable efficient, robust, accurate and clinician-friendly tools to be built so as to try and improve both clinician productivity and quality of patient care. In this review, we discuss basic concepts of ML in CMR, important prognostic CMR imaging biomarkers in MI and the utility of current ML applications in their analysis as assessed in research studies. We highlight potential barriers to the mainstream implementation of these automated strategies and discuss related governance and quality control issues. Lastly, we discuss the future role of ML applications in clinical trials and the need for global collaboration in growing this field

COVID-19: Causes of anxiety and wellbeing support needs of healthcare professionals in the UK: A cross-sectional survey.

BACKGROUND: COVID-19 has caused acute changes in healthcare delivery; this may impact mental health and wellbeing needs of healthcare professionals (HCPs). AIMS: We aimed to identify the causes of anxiety in HCPs during the COVID-19 pandemic, to assess whether HCPs felt they had adequate mental health and wellbeing support and to identify their unmet support needs. METHOD: We used a web-based survey utilising an online tool circulated to UK HCPs over 5 weeks. Self-perceived anxiety levels prior to and during the COVID-19 pandemic were measured on a 10-point Likert-type rating scale. RESULTS: The survey was completed by 558 HCPs. During the pandemic, self-perceived anxiety scores significantly increased from a median of 2 to 7 (paired Wilcoxon signed-rank test; p<0.001). The main reasons were concerns about exposure to SARS-CoV-2 and lack of personal protective equipment. Other wide-ranging reasons were identified. Only 41% of respondents felt there was adequate support. Thematic analysis of what support HCPs wanted identified 13 wide-ranging themes; including effective leadership and peer support. CONCLUSION: Anxiety levels in HCPs significantly increased during the COVID-19 pandemic and the main causes were identified. Many HCPs felt there was inadequate support and identified what support they needed. Implementing effective strategies to support HCPs' unmet wellbeing needs are required as a matter of urgency

Chronic Obstructive Pulmonary Disease as a Predictor of Cardiovascular Risk: A Case-Control Study.

This is an Accepted Manuscript of an article published by Taylor & Francis in on 13 December 2019, available online: https://doi.org/10.1080/15412555.2019.1694501Chronic obstructive pulmonary disease (COPD) is a complex multi-morbid disorder with significant cardiac mortality. Current cardiovascular risk prediction models do not include COPD. We investigated whether COPD modifies future cardiovascular risk to determine if it should be considered in risk prediction models.Case-control study using baseline data from two randomized controlled trials performed between 2012 and 2015. Of the 90 eligible subjects, 26 COPD patients with lung hyperinflation were propensity matched for 10-year global cardiovascular risk score (QRISK2) with 26 controls having normal lung function. Patients underwent cardiac magnetic resonance imaging, arterial stiffness and lung function measurements. Differences in pulse wave velocity (PWV), total arterial compliance (TAC) and aortic distensibility were main outcome measures.PWV (mean difference 1.0 m/s, 95% CI 0.02-1.92; p = 0.033) and TAC (mean difference -0.27 mL/m2/mmHg, 95% CI 0.39-0.15; p < 0.001) were adversely affected in COPD compared to the control group. The PWV difference equates to an age, sex and risk-factor adjusted increase in relative risk of cardiovascular events and mortality of 14% and 15%, respectively.There were no differences in aortic distensibility. In the whole cohort (n = 90) QRISK2 (β = 0.045, p = 0.005) was associated with PWV in multivariate analysis. The relationship between QRISK2 and PWV were modified by COPD, where the interaction term reached significance (p = 0.014). FEV1 (β = 0.055 (0.027), p = 0.041) and pulse (B = -0.006 (0.002), p = 0.003) were associated with TAC in multivariate analysis.Markers of cardiovascular outcomes are adversely affected in COPD patients with lung hyperinflation compared to controls matched for global cardiovascular risk. Cardiovascular risk algorithms may benefit from the addition of a COPD variable to improve risk prediction and guide management.HAPPY London ClinicalTrials.gov: NCT01911910 and HZC116601; ClinicalTrials.gov: NCT01691885.The COPD trial was funded by GlaxoSmithKline (GSK), London, United Kingdom (HZC116601); SmithKline Beecham Pharma; The HAPPY London Study was funded by The Barts Charity (437/1412), London, United Kingdom

Penetrating aortic ulcer causing intramural haematoma presenting as pericarditis

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Impact of sleep duration and chronotype on cardiac structure and function: the UK Biobank study.

BACKGROUND: Sleep duration and chronotype have been associated with increased morbidity and mortality. We assessed for associations between sleep duration and chronotype on cardiac structure and function. METHODS: UK Biobank participants with CMR data and without known cardiovascular disease were included. Self-reported sleep duration was categorized as short (9 hours/day). Self-reported chronotype was categories as 'definitely morning' or 'definitely evening'. RESULTS: Analysis included 3,903 middle-aged adults: 929 short, 2,924 normal and 50 long sleepers; with 966 definitely-morning and 355 definitely-evening chronotypes. Long sleep was independently associated with lower left ventricular (LV) mass (-4.8, p=0.035), left atrial maximum volume (-8.1%, p=0.041) and right ventricular (RV) end-diastolic volume (-4.8%, p=0.038) compared to those with normal sleep duration. Evening chronotype was independently associated with lower LV end-diastolic volume (-2.4%, p=0.021), RV end-diastolic volume (-3.6%, p=0.0006), RV end systolic volume (-5.1%, p=0.0009), RV stroke volume (RVSV -2.7%, p=0.033), right atrial maximal volume (-4.3%, p=0.011) and emptying fraction (+1.3%, p=0.047) compared to morning chronotype. Sex interactions existed for sleep duration and chronotype and age interaction for chronotype even after considering potential confounders. CONCLUSIONS: Longer sleep duration was independently associated with smaller LV mass, left atrial volume and RV volume. Evening chronotype was independently associated with smaller LV and RV and reduced RV function compared to morning chronotype. Sex interactions exist with cardiac remodeling most evident in males with long sleep duration and evening chronotype. Recommendations for sleep chronotype and duration may need to be individualized based on sex

The role of hand-held ultrasound for cardiopulmonary assessment during a pandemic

During the COVID-19 pandemic, we are likely to see a significant increase in the requests for rapid assessment of cardiac function, due to the frequent pre-existence of cardiac pathologies in patients admitted to hospital, and to the emergence of specific cardiac manifestations of this infection, such as myocarditis, sepsis related cardiomyopathy, stress induced cardiomyopathy and acute coronary syndromes. Hand-held, point-of-care ultrasound (HH-POCUS) is particularly suited for the provision of rapid, focused, integrated assessments of the heart and lungs. We present a review of the indications and protocols for focused HH-POCUS use in an acute setting and formulate proposals for streamlining their application in the COVID-19 context towards guiding optimum management of these patients while at the same time allowing adherence to robust infection control measures to provide safety to both the patient and our clinical staff