Publications by authors named "Sammut E"

Background: Human CD16 monocytes (hCD16 Ms) have proangiogenic properties. We assessed the feasibility, safety and efficacy of hCD16 Ms in a porcine model of myocardial infarction (MI).

Methods And Results: A total of 27 female Large White pigs underwent MI with reperfusion and cardiac magnetic resonance (CMR).

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Sulfide-releasing compounds reduce reperfusion injury by decreasing mitochondria-derived reactive oxygen species production. We previously characterised ammonium tetrathiomolybdate (ATTM), a clinically used copper chelator, as a sulfide donor in rodents. Here we assessed translation to large mammals prior to clinical testing.

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Aims: In ∼5-15% of all cases of acute coronary syndromes (ACS) have unobstructed coronaries on angiography. Cardiac magnetic resonance (CMR) has proven useful to identify in most patients the underlying diagnosis associated with this presentation. However, the role of CMR to reclassify patients from the initial suspected condition has not been clarified.

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In a porcine experimental model of myocardial infarction, a localised, layer-specific, circumferential left ventricular strain metric has been shown to indicate chronic changes in ventricular function post-infarction more strongly than ejection fraction. This novel strain metric might therefore provide useful prognostic information clinically. In this study, existing clinical volume indices, global strains, and the novel, layer-specific strain were calculated for a large human cohort to assess variations in ventricular function and morphology with age, sex, and health status.

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The COVID pandemic has brought many new challenges worldwide, which has impacted on patients with chronic conditions. There is an increasing evidence base suggesting an interaction between chronic heart failure (HF) and COVID-19, and in turn the prognostic impact of co-existence of the two conditions. Patients with existing HF appear more prone to develop severe complications on contracting COVID-19, but the exact prevalence in patients with mild symptoms of COVID-19 not requiring hospital admission is poorly investigated.

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Ventricular-vascular interaction is central in the adaptation to cardiovascular disease. However, cardiomyopathy patients are predominantly monitored using cardiac biomarkers. The aim of this study is therefore to explore aortic function in dilated cardiomyopathy (DCM).

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Initial impetus for action: Maltese Oral Health Care Professionals (OHCP) experienced changes to clinical practice and redeployment during the COVID-19 pandemic. In the early stages, there were few data on the resultant changes to the provision of dental services or their impact on the wellbeing of dental professionals. Solutions Suggested: Two questionnaires were designed to explore different domains in OHCP working on the frontline of the COVID-19 pandemic as well as in other areas/sectors.

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Article Synopsis
  • Scientists are really interested in how inflammation affects heart problems, and they have special tools like Cardiovascular Magnetic Resonance that help them see inflammation without surgery.
  • New methods using tiny particles made of iron can check how immune cells that fight inflammation are working in the heart.
  • Another cool tool called phosphorus magnetic resonance spectroscopy helps doctors understand how energy works in heart cells, which is important for diagnosing various heart diseases.
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To identify predictors of left ventricular remodelling (LVR) post-myocardial infarction (MI) and related molecular signatures, a porcine model of closed-chest balloon MI was used along with serial cardiac magnetic resonance imaging (CMRI) up to 5-6 weeks post-MI. Changes in myocardial strain and strain rates were derived from CMRI data. Tissue proteomics was compared between infarcted and non-infarcted territories.

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A 72-year-old man presented for routine dual chamber pacemaker interrogation 13 years following insertion for sick sinus syndrome. Increased noise, impedance and threshold of the right ventricular (RV) lead were identified. RV capture was maintained with an overall RV pacing burden of 47%.

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Cardiovascular magnetic resonance (CMR) imaging is a versatile tool that has established itself as the reference method for functional assessment and tissue characterisation. CMR helps to diagnose, monitor disease course and sub-phenotype disease states. Several emerging CMR methods have the potential to offer a personalised medicine approach to treatment.

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Background: Quantification of myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) by cardiovascular magnetic resonance (CMR) perfusion requires sampling of the arterial input function (AIF). While variation in the AIF sampling location is known to impact quantification by CMR and positron emission tomography (PET) perfusion, there is no evidence to support the use of a specific location based on their diagnostic accuracy in the detection of coronary artery disease (CAD). This study aimed to evaluate the accuracy of stress MBF and MPR for different AIF sampling locations for the detection of abnormal myocardial perfusion with expert visual assessment as the reference.

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There is increasing literature to suggest numerous subgroups of Brugada syndrome (BrS), including those with ST elevation in the lateral or inferior leads. We present a case of a patient presenting with recurrent collapse and inferior ST elevation degenerating to ventricular fibrillation and ultimately leading to a diagnosis of BrS.

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Non-atherosclerotic abnormalities of vessel calibre, aneurysm and ectasia, are challenging to quantify and are often overlooked in qualitative reporting. Utilising a novel 3-dimensional (3D) quantitative coronary angiography (QCA) application, we have evaluated the characteristics of normal, diabetic and aneurysmal or ectatic coronary arteries. We selected 131 individuals under 50 years-of-age, who had undergone coronary angiography for suspected myocardial ischaemia between 1st January 2011 and 31st December 2015, at the Bristol Heart Institute, Bristol, UK.

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Aims: Healthcare services worldwide have been significantly impacted by the COVID-19 pandemic. Recent reports have shown a decline in hospitalization for emergency cardiac conditions. The impact of the COVID-19 pandemic on hospitalization and particularly mortality due to acute heart failure has not been thoroughly described.

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Purpose: Volume indices and left ventricular ejection fraction (LVEF) are routinely used to assess cardiac function. Ventricular strain values may provide additional diagnostic information, but their reproducibility is unclear. This study therefore compares the repeatability and reproducibility of volumes, volume fraction, and regional ventricular strains, derived from cardiovascular magnetic resonance (CMR) imaging, across three software packages and between readers.

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Background: QTc interval (QTc) prolongation is seen on the post-arrest electrocardiogram (ECG) of many out of hospital cardiac arrest (OHCA) survivors. It remains unclear whether this is a transient phenomenon or a manifestation of an underlying arrhythmic substrate. This observational study assessed the trend of QTc in an unselected group of patients presenting with OHCA.

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Background: Little is known about differences between mini-implants and conventional immediately loaded implants for overdentures.

Objectives: To compare clinical outcomes using two immediately loaded conventional or mini-implants for mandibular overdentures.

Materials And Methods: Edentulous patients receiving either conventional (4.

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Aim: To describe a method of digitally customizing 3D-printed face mask designs using 3D face scans and free software.

Materials And Methods: The procedure of creating customized face masks initially involved importing and aligning STL files of face scans and mask components in free CAD software. The imported mask described in this article is composed of three different STL files (body, filter structure, and grid).

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Background: Quantitative myocardial perfusion cardiac MRI can provide a fast and robust assessment of myocardial perfusion status for the noninvasive diagnosis of myocardial ischemia while being more objective than visual assessment. However, it currently has limited use in clinical practice due to the challenging postprocessing required, particularly the segmentation.

Purpose: To evaluate the efficacy of an automated deep learning (DL) pipeline for image processing prior to quantitative analysis.

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Aim: To determine whether heterogeneity of cardiac scar, as assessed by cardiovascular magnetic resonance (CMR) texture analysis, may provide insight into better risk stratification for patients with previous myocardial infarction (MI).

Materials And Methods: Patients with previous MI (n=76) were followed for a median of 371.5 days after late gadolinium enhancement (LGE) CMR.

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