Publications by authors named "Peder L Myhre"

Article Synopsis
  • AI is revolutionizing echocardiography by enhancing diagnostic accuracy, efficiency, and overall patient care through advanced applications.
  • The article discusses how AI integrates into the entire echocardiographic process, from obtaining images to analyzing and interpreting results, with the potential to automate tasks and identify disease patterns.
  • It also emphasizes the importance of developing reliable AI systems by ensuring careful validation, following regulations, and maintaining ethical standards, while exploring both the benefits and challenges of implementing AI in clinical settings.
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Aims: The guideline-directed medical therapy (GDMT) sequencing strategy for patients with heart failure (HF) and reduced ejection fraction (HFrEF) underwent a paradigm shift with the 2021 ESC HF guidelines, from stepwise escalation to rapid simultaneous initiation of quadruple therapy. We aimed to assess the temporal trends in the use of GDMT and prognosis for patients with HFrEF.

Methods And Results: Through the Norwegian HF Registry, we obtained data on patients treated at HF outpatient clinics with left ventricular ejection fraction ≤40% from 2016 through 2023 (n = 13 992), including GDMT, HF hospitalisations and mortality.

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Aims: Left ventricular (LV) dysfunction following acute myocardial infarction (AMI) is common even in the absence of signs and symptoms of heart failure (HF). Recent trials of patients with LV dysfunction post-AMI have demonstrated low event rates during follow-up. We aimed to assess the real-world prevalence and outcomes post-AMI, stratified by LV ejection fraction (LVEF) and the presence or absence of HF symptoms.

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Background: Elevated alanine aminotransferase (ALT), aspartate aminotransferase (AST), and total bilirubin (tBil) may reflect congestion and liver dysfunction in acute heart failure (AHF), while lower ALT also associates with sarcopenia.

Objectives: The purpose of this study was to assess ALT, AST, and tBil levels in AHF patients during high-intensity care (HIC) vs usual care (UC) follow-up.

Methods: ALT, AST, and tBil were measured 1 to 2 days predischarge in 1,062 AHF patients, and again after 90 days of either HIC or UC according to the STRONG-HF (Safety, Tolerability and efficacy of Rapid Optimization, helped by NT-proBNP testinG, of Heart Failure therapies) protocol.

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This mini-review highlights the results of the SARAH trial, which evaluated the efficacy of sacubitril/valsartan in preventing subclinical cardiac dysfunction in patients undergoing anthracycline-based chemotherapy. The trial demonstrated a significant reduction in GLS decline in the treatment group compared to placebo. The findings are discussed in context with other trials investigating neurohormonal blockade for the prevention of cancer therapy-related cardiac dysfunction.

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Background: Studies have shown an increased risk of cardiac disease following COVID-19, but how it compares to pneumonia of other etiologies is unclear.

Aims: To determine the incidence and HRs of cardiac disease in patients hospitalised with COVID-19 compared with other viral or bacterial pneumonias.

Methods: Using nationwide registry data, we estimated the incidence of cardiac events after hospitalisation with COVID-19 (n=2082) in February to November 2020 vs hospitalisation with viral (n=9018) or bacterial (n=29 339) pneumonia in 2018-2019.

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Purpose: The clinical benefit of up-titration of metoprolol to a guideline-recommended target dose after myocardial infarction (MI) is unknown. Our aim was to investigate whether variation in metoprolol exposure determined by cytochrome p450 enzyme 2D6 (CYP2D6) influences the occurrence of major adverse cardiovascular events (MACE) and cardiovascular death (CV death) among patients treated with metoprolol after MI.

Method: This Mendelian randomization study was performed using individual-level data from 1554 patients treated with metoprolol after an acute MI.

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Aims: Exercise improves cardiovascular health, but high-volume high-intensity exercise is associated with increased coronary artery calcification (CAC). We aimed to identify predictors of CAC in athletes.

Methods And Results: We assessed the association of traditional and non-traditional cardiovascular risk factors with CAC using linear and logistic regression.

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Background: Higher circulating concentrations of NT-proBNP (N-terminal pro-B-type natriuretic peptide) and high-sensitivity cardiac troponin T (hs-cTnT) and I (hs-cTnI) are associated with left ventricular remodeling and with incident heart failure. The associations of these cardiac biomarkers with changes in cardiac structure and function over time are uncharacterized.

Methods: Among 2006 participants in the ARIC prospective cohort study (Atherosclerosis Risk in Communities) who were free of overt cardiovascular disease and underwent echocardiography at study visits 5 (2011- 2013) and 7 (2018-2019), we assessed the associations of NT-proBNP, hs-cTnT, and hs-cTnI concentrations at visit 5 with changes in left ventricular structure and function between visits 5 and 7 (≈7-year change) using multivariable linear regression with the biomarkers modeled as restricted cubic splines.

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Article Synopsis
  • * The rise of technology and global connectivity supports the use of these tools, yet challenges persist in treatment effectiveness, especially in lower-income regions.
  • * To maximize the benefits of digital health tools, it's essential to create supportive systems and clinical frameworks that can be applied worldwide.
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Background: Individuals of South Asian origin have a greater risk of cardiovascular disease after gestational diabetes mellitus (GDM) than European individuals. B-type natriuretic peptide (BNP) and the amino-terminal fragment of its prohormone (NT-proBNP) are commonly used for heart failure screening and diagnosis, but biologically BNP exerts several beneficial cardiovascular effects primarily by counteracting the renin-angiotensin-aldosterone-system. We asked whether ethnic differences in circulating NT-proBNP levels could be explained by the differences in cardiometabolic and inflammatory risk markers?

Methods: We examined 162 South Asian and 107 Nordic women in Norway 1-3 years after GDM with a clinical examination, fasting blood samples and an oral glucose tolerance test.

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Background: Echocardiography is essential in cardiovascular medicine for screening, diagnosis, and monitoring. Artificial intelligence (AI) has the potential to improve echocardiography by reducing variability and analysis time. While 3D echocardiography is becoming more accurate, 2D imaging still dominates clinical care.

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Aims: Functional capacity provides important clinical information in patients with heart failure (HF) and reduced ejection fraction (HFrEF). The 6-min walk test (6MWT) is a simple and inexpensive tool for assessing functional capacity and risk. Although change in 6MWT is frequently used as a surrogate outcome in HF trials, the association with mortality is unclear.

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Background: Cardiac troponins (cTns) and biomarkers of inflammation are elevated in heart failure (HF) and predict cardiovascular risk. Whether these biomarkers associate with risk of ventricular arrhythmias (VAs) is unclear.

Objectives: This study sought to assess whether cTnT, growth differentiation factor 15 (GDF-15), interleukin-6 (IL-6), and C-reactive protein (CRP) concentrations are associated with incident VA.

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Introduction: Secretoneurin (SN) is a novel biomarker that provides prognostic information in patients with cardiovascular disease. In experimental models, SN production is increased in the failing myocardium. Currently, no information is available on SN production in human myocardium.

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Background: COVID-19 has been associated with cardiac troponin T (cTnT) elevations and changes in cardiac structure and function, but the link between cardiac dysfunction and high-sensitive cardiac troponin T (hs-cTnT) in the acute and convalescent phase is unclear.

Objective: To assess whether hs-cTnT concentrations are associated with cardiac dysfunction and structural abnormalities after hospitalization for COVID-19, and to evaluate the performance of hs-cTnT to rule out cardiac pathology.

Methods: Patients hospitalized with COVID-19 had hs-cTnT measured during the index hospitalization and after 3-and 12 months, when they also underwent an echocardiographic study.

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Article Synopsis
  • Echocardiographic strain imaging is important for assessing heart function, and deep learning (DL) algorithms can automate its interpretation.
  • An automated DL-based algorithm for measuring left ventricular strain was trained and validated using datasets from various studies, showing high accuracy compared to manual measurements.
  • The study concluded that DL algorithms can interpret echocardiographic strain images effectively, potentially improving accessibility to cardiac assessments.
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Heart failure (HF) causes substantial morbidity and mortality but its pathobiology is incompletely understood. The proteome is a promising intermediate phenotype for discovery of novel mechanisms. We measured 4877 plasma proteins in 13,900 HF-free individuals across three analysis sets with diverse age, geography, and HF ascertainment to identify circulating proteins and protein networks associated with HF development.

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Soluble (s)ST2 has been proposed as a useful biomarker for heart failure (HF) patient management. Myocardial damage or mechanical stress stimulate sST2 release. ST2 competes with a membrane bound receptor (ST2 ligand, or ST2L) for interleukin-33 (IL-33) binding, inhibiting the effects induced by the ST2L/IL-33 interaction so that excessive sST2 may contribute to myocardial fibrosis and ventricular remodeling.

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