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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. Parallel analyses in Atherosclerosis Risk in Communities study participants in mid-life and late-life and in Trøndelag Health Study participants identified 37 proteins consistently associated with incident HF independent of traditional risk factors. Mendelian randomization supported causal effects of 10 on HF, HF risk factors, or left ventricular size and function, including matricellular (e.g. SPON1, MFAP4), senescence-associated (FSTL3, IGFBP7), and inflammatory (SVEP1, CCL15, ITIH3) proteins. Protein co-regulation network analyses identified 5 modules associated with HF risk, two of which were influenced by genetic variants that implicated trans hotspots within the VTN and CFH genes. The pathobiology of heart failure (HF) is incompletely understood. The authors identify 37 circulating proteins and 5 protein modules associated with HF risk, with several demonstrating causal effects on HF, risk factors, or cardiac dysfunction by Mendelian randomization analysis.

A maladaptive inflammatory response has been implicated in the pathogenesis of severe COVID-19. This study aimed to characterize the temporal dynamics of this response and investigate whether severe disease is associated with distinct gene expression patterns. We performed microarray analysis of serial whole blood RNA samples from 17 patients with severe COVID-19, 15 patients with moderate disease and 11 healthy controls. All study subjects were unvaccinated. We assessed whole blood gene expression patterns by differential gene expression analysis, gene set enrichment, two clustering methods and estimated relative leukocyte abundance using CIBERSORT. Neutrophils, platelets, cytokine signaling, and the coagulation system were activated in COVID-19, and this broad immune activation was more pronounced in severe vs. moderate disease. We observed two different trajectories of neutrophil-associated genes, indicating the emergence of a more immature neutrophil phenotype over time. Interferon-associated genes were strongly enriched in early COVID-19 before falling markedly, with modest severity-associated differences in trajectory. In conclusion, COVID-19 necessitating hospitalization is associated with a broad inflammatory response, which is more pronounced in severe disease. Our data suggest a progressively more immature circulating neutrophil phenotype over time. Interferon signaling is enriched in COVID-19 but does not seem to drive severe disease.

To compare the performance of high-sensitivity cardiac troponin I and T (hs-cTnI; hs-cTnT) in diagnosing obstructive coronary artery disease (CAD 50 ) in patients with suspected chronic coronary syndrome (CCS). A total of 706 patients with suspected CCS, referred for Coronary Computed Tomography Angiography, were included. cTn concentrations were measured using the Singulex hs-cTnI (limit of detection [LoD] 0.08 ng/L) and Roche hs-cTnT (LoD 3 ng/L) assays. Obstructive coronary artery disease (CAD 50 ) was defined as ≥ 50% coronary stenosis. Cardiovascular risk was determined by the NORRISK2-score. Median age of the patients was 65 (range 28–87) years, 35% were women. All patients had hs-cTnI concentrations above the LoD (median 1.9 [Q1-3 1.2–3.6] ng/L), 72% had hs-cTnT above the LoD (median 5 [Q1-3 2–11] ng/L). There was a graded relationship between hs-cTn concentrations and coronary artery calcium. Only hs-cTnI remained associated with CAD 50 in adjusted analyses (OR 1.20 95% Confidence Interval [1.05–1.38]), p  = 0.009). The C-statistics for hs-cTnI and hs-cTnT were 0.65 (95% CI [0.60–0.69]) and 0.60 (0.56–0.64). The highest specificity and negative predictive values for CAD 50 were in the lowest NORRISK2-tertile. hs-cTn concentrations provide diagnostic information in patients with suspected CCS, with superior performance of hs-cTnI compared to hs-cTnT in regard to CAD 50 . The diagnostic performance appeared best in those with low cardiovascular risk.

Abstract 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. Methods and results Cohort study of patients with AMI registered in the Norwegian Myocardial Infarction Registry 2013–2022. Outcomes were short- and long-term all-cause mortality. Mortality was assessed by Kaplan–Meier survival curves, Life Table and multivariable Cox regression models. Results Among 70 809 AMI patients (mean age 68.1 ± 12.9 years, 31% female), preserved (≥50%), mildly reduced (41%–49%) and reduced (≤40%) LVEF were present in 63.5%, 23.2% and 13.3%, respectively. Symptomatic HF was present in 3.3%, 28.1% and 63.2% of patients with preserved, mildly reduced and reduced LVEF. For each LVEF category, 1-year cumulative mortality rate from discharge was 3.9%, 7.8% and 17.8% for asymptomatic, and 16.2%, 13.7% and 20.2% for symptomatic patients, respectively. Symptomatic patients discharged alive had higher risk of mortality than asymptomatic: adjusted hazard ratio 1.85 (1.70–2.02) for preserved LVEF, 1.33 (1.25–1.41) for mildly reduced LVEF and 1.15 (1.06–1.24) for reduced LVEF. Conclusions Reduced LVEF in the acute phase of AMI was associated with up to 20% 1-year mortality after discharge, substantially higher than in recent post-MI trials. Symptoms of HF during the index hospitalization were associated with worse outcomes in patients with preserved LVEF but contributed little additive risk for patients with reduced LVEF. Asymptomatic reduced left ventricular ejection fraction (LVEF) in the acute phase of myocardial infarction (AMI) was associated with up to 20% 1-year mortality after discharge, substantially higher than in recent post-MI trials. Symptoms of heart failure (HF) during the index hospitalization was associated with worse outcomes in patients with preserved LVEF but contributed little additive risk for patients with reduced LVEF.

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. Compared to natriuretic peptides (NPs), sST2 concentration is not substantially affected by age, sex, body mass index, kidney function, atrial fibrillation, anemia, or HF etiology, and has low intra-individual variation. Its prognostic role as an independent marker is well reported in the literature. However, there is a gap on its use in combination with NPs, currently the only biomarkers recommended by European and American guidelines for HF management. Reflecting the activation of two distinct biological systems, a benefit from the use of sST2 and NP in combination is advocated. The aim of this review is to report the current scientific knowledge on sST2 in the acute and chronic HF settings with a particular attention to its additive role to natriuretic peptides (NPs).

Heart failure (HF) often coexists with chronic obstructive pulmonary disease (COPD) and is associated with worse outcomes. We aimed to assess the feasibility of detecting vertical artifacts (B-lines) on lung ultrasound (LUS) to identify concurrent HF in patients hospitalized with acute exacerbation of COPD (AECOPD). Second, we wanted to assess the association between B-lines and the risk of rehospitalization for AECOPD or death. In a prospective cohort study, 123 patients with AECOPD underwent 8-zone bedside LUS within 24h after admission. A positive LUS was defined by ≥3 B-lines in ≥2 zones bilaterally. The ability to detect concurrent HF (adjudicated by a cardiologist committee) and association with events were evaluated by logistic- and Cox regression models. Forty-eight of 123 patients with AECOPD (age 75±9 years, 57[46%] men) had concurrent HF. Sixteen (13%) patients had positive LUS, and the prevalence of positive LUS was similar between patients with and without concurrent HF (8[17%] vs 8[11%], respectively, p=0.34). The number of B-lines was higher in concurrent HF: median 10(IQR 6-16) vs 7(IQR 5-12), p=0.03. The sensitivity and specificity for a positive LUS to detect concurrent HF were 17% and 89%, respectively. Positive LUS was not associated with rehospitalization and mortality: Adjusted HR: 0.93(0.49-1.75), p=0.81. LUS did not detect concurrent HF or predict risk in patients with AECOPD.

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. We measured the levels of NT-proBNP, high-sensitivity cardiac troponin T, high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), leptin, adiponectin and markers of insulin sensitivity, such as the Matsuda insulin sensitivity index (ISI). Finally, we tried to identify which independent covariate best mediated the ethnic differences in NT-proBNP. Results The mean (SD) age was 35.3 (4.5) years, BMI 29.1 (6.0) kg/m 2 , waist-height ratio 0.60 (0.08) and 164 women (61%) had prediabetes/diabetes. Notably, South Asian women had lower levels of NT-proBNP than Nordic women in both the normoglycemic and prediabetes/diabetes groups (median (IQR) 26  (15–38)  vs. 42 (22–66) ng/L, p  < 0.001). Higher NT-proBNP levels were associated with greater insulin sensitivity in both South Asian and Nordic women ( p  = 0.005 and p  < 0.001). South Asian women had higher levels of hsCRP (median (IQR) 2.2 (1.1–4.4) vs. 1.2 (0.3–4.2) mg/L), IL-6 (2.3 (1.5–3.2) vs. 1.5 (1.5–2.5) pg/mL), leptin (1647 (1176–2480) vs. 1223 (876–2313) pmol/L), and lower adiponectin levels (7.2 (5.3–9.3) vs. 10.0 (7.2–13.5) mg/L) and Matsuda ISI (2.4 (1.7–3.7) vs. 4.2 (2.9–6.1), p all <0.01) than Nordic women. Even after adjusting for these differences, higher NT-proBNP levels remained associated with insulin sensitivity (22% higher NT-proBNP per SD Matsuda ISI, p  = 0.015). Insulin sensitivity and adiponectin mediated 53% and 41% of the ethnic difference in NT-proBNP. Conclusions NT-proBNP levels are lower in South Asian than in Nordic women after GDM. Lower NT-proBNP levels correlate with impaired insulin sensitivity. Lower NT-proBNP levels in South Asian women could, therefore, be attributed to impaired insulin sensitivity rather than total body fat.

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. We aimed to evaluate agreement in measures of left ventricular (LV) volumes and function between human readers, a fully automated AI 2D algorithm, and the 3D Heart Model. A retrospective analysis was conducted on 109 patients who underwent 2D and 3D transthoracic echocardiography. LV end-diastolic and end-systolic volumes (LVEDV, LVESV) and ejection fraction (LVEF) were measured by two operators, a commercially available AI algorithm (US2ai), and the 3D Heart Model. Global longitudinal strain (GLS) was measured by the integrated semi-automated software and the AI algorithm. Outcomes included measures of agreement [bias, limit of agreement and Pearson's correlation (R)]. For LV volume measurements, the AI algorithm was strongly correlated with the average of the human operators (  = 0.89 for LVEDV and  = 0.92 for LVESV), which was higher than between the operators (  = 0.74 and  = 0.84, respectively,  < 0.01). The same trend was seen for measures of reliability with respect to LVEDV, but not LVESV. AI demonstrated comparable performance to human operators in measuring LVEF, while the 3D Heart Model had a weaker correlation and reliability compared with human operators and AI measurements. The correlation between human operators and AI for GLS was only moderate. This study demonstrates AI-based echocardiography as a promising tool for accurately assessing LV volumes and LVEF in clinical practice. AI-based measures demonstrated a significantly lower inter-operator variability, thereby improving the consistency and reliability of these assessments. Moreover, AI may prove particularly effective for conducting retrospective bulk analyses, offering a valuable tool for comprehensive evaluations of past data.

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. A subset also underwent cardiovascular magnetic resonance imaging (CMR) after 6 months. Cardiac abnormalities were defined as left ventricular hypertrophy or dysfunction, right ventricular dysfunction, or CMR late gadolinium. Results We included 189 patients with hs-cTnT concentrations measured during hospitalization for COVID-19, and after 3-and 12 months: Geometric mean (95%CI) 13 (11–15) ng/L, 7 (6–8) ng/L and 7 (6–8) ng/L, respectively. Cardiac abnormalities after 3 months were present in 45 (30%) and 3 (8%) of patients with hs-cTnT ≥ and < 5 ng/L at 3 months, respectively (negative predictive value 92.3% [95%CI 88.5–96.1%]). The performance was similar in patients with and without dyspnea. Hs-cTnT decreased from hospitalization to 3 months (more pronounced in intensive care unit-treated patients) and remained unchanged from 3 to 12 months, regardless of the presence of cardiac abnormalities. Conclusion Higher hs-cTnT concentrations in the convalescent phase of COVID-19 are associated with the presence of cardiac pathology and low concentrations (< 5 ng/L) may support in ruling out cardiac pathology following the infection.