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276 result(s) for "Emdin, Michele"
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Biomarkers for the diagnosis and management of heart failure
Heart failure (HF) is a significant cause of morbidity and mortality worldwide. Circulating biomarkers reflecting pathophysiological pathways involved in HF development and progression may assist clinicians in early diagnosis and management of HF patients. Natriuretic peptides (NPs) are cardioprotective hormones released by cardiomyocytes in response to pressure or volume overload. The roles of B-type NP (BNP) and N-terminal pro-B-type NP (NT-proBNP) for diagnosis and risk stratification in HF have been extensively demonstrated, and these biomarkers are emerging tools for population screening and as guides to the start of treatment in subclinical HF. On the contrary, conflicting evidence exists on the role of NPs as a guide to HF therapy. Among the other biomarkers, high-sensitivity troponins and soluble suppression of tumorigenesis-2 are the most promising biomarkers for risk stratification, with independent value to NPs. Other biomarkers evaluated as predictors of adverse outcome are galectin-3, growth differentiation factor 15, mid-regional pro-adrenomedullin, and makers of renal dysfunction. Multi-marker scores and genomic, transcriptomic, proteomic, and metabolomic analyses could further refine HF management.
Cheyne–Stokes Respiration, Chemoreflex, and Ticagrelor-Related Dyspnea
Patients who receive ticagrelor may have dyspnea, particularly at night. This agent can induce an increased chemosensitivity to hypercapnia that normalizes when the drug is discontinued. To the Editor: Dyspnea is a common side effect of the P2Y12-receptor antagonist ticagrelor in patients who receive this drug after an acute coronary syndrome. 1 , 2 Symptoms develop in a dose-dependent fashion and usually disappear on discontinuation of ticagrelor and with reductions in plasma levels of the drug. 1 , 2 The mechanism of this side effect, which is unrelated to negative effects on cardiac and pulmonary function, is unknown. 2 Here we describe the case of a patient (Patient 1) who was hospitalized for non–ST-segment elevation myocardial infarction. After the patient underwent complete revascularization for three-vessel coronary artery disease, double antiplatelet therapy . . .
Oxidative stress and inflammation: determinants of anthracycline cardiotoxicity and possible therapeutic targets
Chemotherapy with anthracycline-based regimens remains a cornerstone of treatment of many solid and blood tumors but is associated with a significant risk of cardiotoxicity, which can manifest as asymptomatic left ventricular dysfunction or overt heart failure. These effects are typically dose-dependent and cumulative and may require appropriate screening strategies and cardioprotective therapies in order to minimize changes to anticancer regimens or even their discontinuation. Our current understanding of cardiac damage by anthracyclines includes a central role of oxidative stress and inflammation. The identification of these processes through circulating biomarkers or imaging techniques might then be helpful for early diagnosis and risk stratification. Furthermore, therapeutic strategies relieving oxidative stress and inflammation hold promise to prevent heart failure development or at least to mitigate cardiac damage, although further evidence is needed on their efficacy, either alone or as part of combination therapies with neurohormonal antagonists, which are the current adopted standard.
Sex differences in transthyretin cardiac amyloidosis
Transthyretin cardiac amyloidosis (ATTR-CA) is a progressive disease characterized by the deposition of abnormal transthyretin protein fibrils in the heart, leading to cardiac dysfunction. Recent evidence suggests that sex differences may play a significant role in various steps of ATTR-CA, including clinical presentation, diagnostic challenges, disease progression, and treatment outcomes. ATTR-CA predominantly affects men, whereas women are older at presentation. Women generally present with a history of heart failure with preserved ejection fraction and/or carpal tunnel syndrome. When indexed, left ventricular (LV) wall thickness is equal, or even increased, than men. Women also have smaller LV cavities, more preserved ejection fractions, and apparently a slightly worse right ventricular and diastolic function. Given the under-representation on women in clinical trials, no data regarding sex influence on the treatment response are currently available. Finally, it seems there are no differences in overall prognosis, even if premenopausal women may have a certain level of myocardial protection. Genetic variations, environmental factors, and hormonal changes are considered as potential contributors to observed disparities. Understanding sex differences in ATTR-CA is vital for accurate diagnosis and management. By considering these differences, clinicians can improve diagnostic accuracy, tailor treatments, and optimize outcomes for both sexes with ATTR-CA.
Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance
Background Cardiovascular magnetic resonance (CMR) is part of the diagnostic work-up for cardiac amyloidosis (CA). Deep learning (DL) is an application of artificial intelligence that may allow to automatically analyze CMR findings and establish the likelihood of CA. Methods 1.5 T CMR was performed in 206 subjects with suspected CA (n = 100, 49% with unexplained left ventricular (LV) hypertrophy; n = 106, 51% with blood dyscrasia and suspected light-chain amyloidosis). Patients were randomly assigned to the training (n = 134, 65%), validation (n = 30, 15%), and testing subgroups (n = 42, 20%). Short axis, 2-chamber, 4-chamber late gadolinium enhancement (LGE) images were evaluated by 3 networks (DL algorithms). The tags “amyloidosis present” or “absent” were attributed when the average probability of CA from the 3 networks was ≥ 50% or < 50%, respectively. The DL strategy was compared to a machine learning (ML) algorithm considering all manually extracted features (LV volumes, mass and function, LGE pattern, early blood-pool darkening, pericardial and pleural effusion, etc.), to reproduce exam reading by an experienced operator. Results The DL strategy displayed good diagnostic accuracy (88%), with an area under the curve (AUC) of 0.982. The precision (positive predictive value), recall score (sensitivity), and F1 score (a measure of test accuracy) were 83%, 95%, and 89% respectively. A ML algorithm considering all CMR features had a similar diagnostic yield to DL strategy (AUC 0.952 vs. 0.982; p = 0.39). Conclusions A DL approach evaluating LGE acquisitions displayed a similar diagnostic performance for CA to a ML-based approach, which simulates CMR reading by experienced operators.
Relative Efficacy of Sacubitril-Valsartan, Vericiguat, and SGLT2 Inhibitors in Heart Failure with Reduced Ejection Fraction: a Systematic Review and Network Meta-Analysis
BackgroundSacubitril/valsartan, vericiguat, and the sodium-glucose co-transporter-2 inhibitors (SGLT2i) dapagliflozin and empagliflozin proved effective in phase 3 trials on heart failure with reduced ejection fraction (HFrEF).MethodsWe compared the treatment arms (sacubitril/valsartan, vericiguat, and SGLT2i) with the respective control arms (standard-of-care [SOC]) through a network meta-analysis of the phase 3 trials (PARADIGM-HF, VICTORIA, DAPA-HF, EMPEROR-Reduced), a phase 2 trial on vericiguat and the HFrEF subgroup of DECLARE-TIMI 58.ResultsThere was a trend towards decreased risk of cardiovascular (CV) death or HF hospitalization with SGLT2i than sacubitril/valsartan (HR 0.92, 95% CI 0.81 to 1.05) and vericiguat (HR 0.83, 95% CI 0.73 to 0.94). A non-significant effect of SGLT2i on CV mortality compared to sacubitril/valsartan (HR 1.04, 95% CI 0.88 to 1.24) and vericiguat (HR 0.88, 95% CI 0.63 to 1.22) was found. SGLT2i demonstrated the greatest effect on HF hospitalization (HR 0.69, 95% CI 0.62 to 0.77) over the SOC, as well as a significant benefit over vericiguat (HR 0.77, 95% CI 0.66 to 0.89), but not over sacubitril/valsartan (HR 0.87, 95% CI 0.75 to 1.02). SGLT2i were ranked as the most effective therapy, followed by sacubitril/valsartan and vericiguat.ConclusionsBased on an indirect comparison, SGLT2i therapy is not associated with a significantly lower risk of CV death or HF hospitalization or CV death alone compared to sacubitril/valsartan or vericiguat. The risk of HF hospitalization does not differ significantly between patients on SGLT2i or sacubitril/valsartan, while dapagliflozin is superior to vericiguat.Registration NumberPROSPERO ID 186351.
Deep-learning-based cardiac amyloidosis classification from early acquired pet images
The objective of the present work was to evaluate the potential of deep learning tools for characterizing the presence of cardiac amyloidosis from early acquired PET images, i.e. 15 min after [18F]-Florbetaben tracer injection. 47 subjects were included in the study: 13 patients with transthyretin-related amyloidosis cardiac amyloidosis (ATTR-CA), 15 patients with immunoglobulin light-chain amyloidosis (AL-CA), and 19 control-patients (CTRL). [18F]-Florbetaben PET/CT images were acquired in list mode and data was sorted into a sinogram, covering a time interval of 5 min starting 15 min after the injection. The resulting sinogram was reconstructed using OSEM iterative algorithm. A deep convolutional neural network (CAclassNet) was designed and implemented, consisting of five 2D convolutional layers, three fully connected layers and a final classifier returning AL, ATTR and CTRL scores. A total of 1107 2D images (375 from AL-subtype patients, 312 from ATTR-subtype, and 420 from Controls) have been considered in the study and used to train, validate and test the proposed network. CAclassNet cross-validation resulted with train error mean ± sd of 2.001% ± 0.96%, validation error of 4.5% ± 2.26%, and net accuracy of 95.49% ± 2.26%. Network test error resulted in a mean ± sd values of 10.73% ± 0.76%. Sensitivity, specificity, and accuracy evaluated on the test dataset were respectively for AL-CA sub-type: 1, 0.912, 0.936; for ATTR-CA: 0.935, 0.897, 0.972; for control subjects: 0.809, 0.971, 0.909. In conclusion, the proposed CAclassNet model seems very promising as an aid for the clinician in the diagnosis of CA from cardiac [18F]-Florbetaben PET images acquired a few minutes after the injection.
Differences in family caregiver experiences and expectations of end-of-life heart failure care across providers and settings: a systematic literature review
Heart failure impacts patients’ quality of life and life expectancy and significantly affects the daily behaviours and feelings of family caregivers. At the end-of-life, the burden for family caregivers depends on their emotional and sentimental involvement, as well as social costs. Objectives: The aim of this work is to determine whether and how family caregivers’ experiences and expectations vary in relation to the places of care and teams involved in heart failure management. Methods: A systematic literature review was conducted, by screening manuscripts dealing with the experience of Family Care Givers’ (FCGs) of patients with Advanced Heart failure. Methods and results were reported following the PRISMA rules. Papers were searched through three databases (PubMed, Scopus and Web of Science). Seven topics were used to synthetize results by reporting qualitative information and quantitative evidence about the experience of FCGs in places of care and with care teams. Results: Thirty-one papers, dealing with the experience of 814 FCGs, were selected for this systematic review. Most manuscripts came from the USA ( N  = 14) and European countries ( N  = 13) and were based on qualitative methods. The most common care setting and provider profile combination at the end of life was home care ( N  = 22) and multiprofessional teams ( N  = 27). Family caregivers experienced “psychological issues” (48.4%), impact of patients’ condition on their life (38,7%) and “worries for the future” (22.6%). Usually, when family caregivers were unprepared for the future, the care setting was the home, and there was a lack of palliative physicians on the team. Discussion: At the end-of-life, the major needs of chronic patients and their relatives are not health related. And, as we observed, non-health needs can be satisfied by improving some key components of the care management process that could be related to care team and setting of care. Our findings can support the design of new policies and strategies.
The Journey of Human Transthyretin: Synthesis, Structure Stability, and Catabolism
Transthyretin (TTR) is a homotetrameric protein mainly synthesised by the liver and the choroid plexus whose function is to carry the thyroid hormone thyroxine and the retinol-binding protein bound to retinol in plasma and cerebrospinal fluid. When the stability of the tetrameric structure is lost, it breaks down, paving the way for the aggregation of TTR monomers into insoluble fibrils leading to transthyretin (ATTR) amyloidosis, a progressive disorder mainly affecting the heart and nervous system. Several TTR gene mutations have been characterised as destabilisers of TTR structure and are associated with hereditary forms of ATTR amyloidosis. The reason why also the wild-type TTR is intrinsically amyloidogenic in some subjects is largely unknown. The aim of the review is to give an overview of the TTR biological life cycle which is largely unknown. For this purpose, the current knowledge on TTR physiological metabolism, from its synthesis to its catabolism, is described. Furthermore, a large section of the review is dedicated to examining in depth the role of mutations and physiological ligands on the stability of TTR tetramers.
Current and emerging treatment options for transthyretin amyloid cardiomyopathy
Transthyretin amyloidosis (ATTR) is a condition caused by TTR protein misfolding and amyloid deposition, particularly in the heart and nervous system, leading to organ dysfunction. Advances in therapeutic strategies have revolutionised the management of ATTR amyloidosis. Treatments available in clinical practice include TTR stabilisers (tafamidis and acoramidis), which prevent the dissociation of TTR tetramer into monomers and oligomers that subsequently form amyloid fibrils, and gene-silencing therapies (patisiran, inotersen and vutrisiran), which suppress the hepatic synthesis of TTR, which is the amyloid precursor protein. Novel treatment strategies that are at various stages of development include Clustered Regularly Interspaced Short Palindromic Repeats-Cas9 gene-editing technology (nexiguran ziclumeran), which, if successful, offers the prospect of a single-dose treatment, and monoclonal (cormitug and ALXN220) and pan-amyloid antibodies (AT-02) that seek to target and remove amyloid fibrils that have deposited in the myocardium. Amyloid removal remains a significant unmet clinical need, and hence, the ability to promote amyloid degradation and clearance through the use of antiamyloid therapies would represent a groundbreaking advancement in the treatment of ATTR amyloidosis. The success of ATTR-specific disease-modifying therapies has already altered the treatment landscape and changed the perception of ATTR amyloidosis from a progressive and fatal disease to one that is treatable through the availability of highly effective disease-modifying therapies. However, important questions remain, including the long-term safety of these drugs, whether combining therapies with different mechanisms of action has an additive prognostic benefit and how best to monitor the treatment response.