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Objective: Heart failure (HF) pathophysiology in patients with obesity may be distinct. To study these features, we identified obesity‐related biomarkers from 4210 circulating proteins in patients with HF with reduced ejection fraction (HFrEF) and examined associations of these proteins with HF prognosis and biological mechanisms. Methods: In 373 patients with trimonthly blood sampling during a median follow‐up of 2.1 (25th–75th percentile: 1.1–2.6) years, we applied an aptamer‐based multiplex approach measuring 4210 proteins in baseline samples and the last two samples before study end. Associations between obesity (BMI > 30 kg/m2) and baseline protein levels were analyzed. Subsequently, associations of serially measured obesity‐related proteins with biological mechanisms and the primary endpoint (PEP; composite of cardiovascular mortality, HF hospitalization, left ventricular assist device implantation, and heart transplantation) were examined. Results: Obesity was identified in 26% (96/373) of patients. A total of 30% (112/373) experienced a PEP (with obesity: 26% [25/96] vs. without obesity: 31% [87/277]). A total of 141/4210 proteins were linked to obesity, reflecting mechanisms of neuron projection development, cell adhesion, and muscle cell migration. A total of 50/141 proteins were associated with the PEP, of which 12 proteins related to atherosclerosis or hypertrophy provided prognostic information beyond clinical characteristics, N‐terminal pro‐B‐type natriuretic peptide, and high‐sensitivity troponin T. Conclusions: Patients with HFrEF and obesity show distinct proteomic profiles compared to patients with HFrEF without obesity. Obesity‐related proteins are independently associated with HF outcome. These proteins carry potential to improve management of obesity‐related HF and could be leads for future research. [ABSTRACT FROM AUTHOR]

Aims: This study aims to provide insight into sex‐specific cardiovascular protein profiles and their associations with adverse outcomes, which may contribute to a better understanding of heart failure (HF) pathophysiology and the optimal use of circulating proteins for prognostication in women and men. Methods and results: In 250 stable patients with HF with reduced ejection fraction (HFrEF), we performed trimonthly blood sampling (median follow‐up: 26 [17–30] months). We selected all baseline samples and two samples closest to the primary endpoint (PEP; composite of cardiovascular death, heart transplantation, left ventricular assist device implantation, and HF hospitalization) or one sample closest to censoring and applied the Olink Cardiovascular III panel. We used linear regression to study sex‐based differences in baseline levels and joint models to study differences in the prognostic value of serially measured proteins. In 66 women and 184 men (mean age of 66 and 67 years, respectively), 21% and 28% reached the PEP, respectively. Mean baseline levels of fatty acid‐binding protein 4, secretoglobin family 3A member 2, paraoxonase 3, and trefoil factor 3 were higher in women (Pinteraction: 0.001, 0.007, 0.018, and 0.049, respectively), while matrix metalloproteinase‐3, interleukin 1 receptor‐like 1, and myoglobin were higher in men (Pinteraction: <0.001, 0.001, and 0.049, respectively), independent of clinical characteristics. No significant differences between sexes were observed in the longitudinal associations of proteins with the PEP. Only peptidoglycan recognition protein 1 showed a suggestive interaction with sex for the primary outcome (Pinteraction = 0.028), without multiple testing correction, and was more strongly associated with adverse outcome in women {hazard ratio [HR] 3.03 [95% confidence interval (CI), 1.42 to 6.68], P = 0.008} compared with men [HR 1.18 (95% CI, 0.84 to 1.66), P = 0.347]. Conclusions: Although multiple cardiovascular‐related proteins show sex differences at baseline, temporal associations with the adverse outcome do not differ between women and men with HFrEF. [ABSTRACT FROM AUTHOR]

Aims: This study aimed to investigate the left ventricular (LV) remodelling and long‐term prognosis of patients with new‐onset acute heart failure (HF) with reduced ejection fraction who were pharmacologically managed and survived until hospital discharge. We compared patients with ischaemic and non‐ischaemic aetiology. Methods and results: This cohort study consisted of 111 patients admitted with new‐onset acute HF in the period 2008–2016 [62% non‐ischaemic aetiology, 48% supported by inotropes, vasopressors, or short‐term mechanical circulatory devices, and left ventricular ejection fraction (LVEF) at discharge 28% (interquartile range 22–34)]. LV dimensions, LVEF, and mitral valve regurgitation were used as markers for LV remodelling during up to 3 years of follow‐up. Both patients with non‐ischaemic and ischaemic HF had significant improvement in LVEF (P < 0.001 and P = 0.004, respectively) with significant higher improvement in those with non‐ischaemic HF (17% vs. 6%, P < 0.001). Patients with non‐ischaemic HF had reduction in LV end‐diastolic and end‐systolic diameters (6 and 10 mm, both P < 0.001), but this was not found in those with ischaemic HF [+3 mm (P = 0.09) and +2 mm (P = 0.07), respectively]. During a median follow‐up of 4.6 years, 98 patients (88%) did not reach the composite endpoint of LV assist device implantation, heart transplantation, or all‐cause mortality, with no difference between with ischaemic and non‐ischaemic HF [hazard ratio 0.69 (95% confidence interval 0.19–2.45)]. Conclusions: Patients with new‐onset acute HF with reduced ejection fraction discharged on optimal medical treatment have a good prognosis. We observed a considerable LV remodelling with improvement in LV function and dimensions, starting already at 6 months in patients with non‐ischaemic HF but not in their ischaemic counterparts. [ABSTRACT FROM AUTHOR]

Aims: Evidence on the association of macrophage‐ and neutrophil‐related blood biomarkers with clinical outcome in heart failure patients is limited, and, with the exception of C‐reactive protein, no data exist on their temporal evolution. We aimed to investigate whether temporal patterns of these biomarkers are related to clinical outcome in patients with stable chronic heart failure (CHF). Methods and Results: In 263 patients with CHF, we performed serial plasma measurements of scavenger receptor cysteine‐rich type 1 protein M130 (CD163), tartrate‐resistant acid phosphatase type 5 (TRAP), granulins (GRN), spondin‐1 (SPON1), peptidoglycan recognition protein 1 (PGLYRP1), and tissue factor pathway inhibitor (TFPI). The Cardiovascular Panel III (Olink Proteomics AB, Uppsala, Sweden) was used. During 2.2 years of follow‐up, we collected 1984 samples before the occurrence of the composite primary endpoint (PE) or censoring. For efficiency, we selected 567 samples for the measurements (all baseline samples, the last two samples preceding the PE, and the last sample before censoring in event‐free patients). The relationship between repeatedly measured biomarker levels and the PE was evaluated by joint models. Mean (±standard deviation) age was 67 ± 13 years; 189 (72%) were men; left ventricular ejection fraction (%) was 32 ± 11. During follow‐up, 70 (27%) patients experienced the PE. Serially measured biomarkers predicted the PE in a multivariable model adjusted for baseline clinical characteristics [hazard ratio (95% confidence interval) per 1‐standard deviation change in biomarker]: CD163 [2.07(1.47–2.98), P < 0.001], TRAP [0.62 (0.43–0.90), P = 0.009], GRN [2.46 (1.64–3.84), P < 0.001], SPON1 [3.94 (2.50–6.50), P < 0.001], and PGLYRP1 [1.62 (1.14–2.31), P = 0.006]. Conclusions: Changes in plasma levels of CD163, TRAP, GRN, SPON1, and PGLYRP1 precede adverse cardiovascular events in patients with CHF. [ABSTRACT FROM AUTHOR]

We determined the temporal effects of neurohormonal antagonists and loop diuretics on serially assessed (3‐monthly) cardiorenal biomarkers, functional status, and clinical outcomes in 250 patients with chronic heart failure (CHF) with reduced ejection fraction. In blood, we measured NT‐proBNP, troponin T, C‐reactive protein, creatinine, cystatin C; in urine, N‐acetyl‐beta‐ d‐glucosaminidase and kidney‐injury‐molecule‐1. Angiotensin converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs) were inversely associated with cardiac impairment, inflammation, and renal tubular damage, but not with glomerular dysfunction. Diuretics were associated with worse biomarker profiles and with a hazard ratio for adverse clinical outcome of 1.12 (95% confidence interval: 1.03–1.22) per 40 mg higher doses. ACE‐inhibitors/ARBs were more frequently downtitrated and diuretics more frequently uptitrated in patients who experienced endpoints than in those who did not. In conclusion, a decrease or withholding of ACE‐inhibitors/ARBs solely based on glomerular function is not justified because of the beneficial effects on the heart, inflammation, and renal tubules. Higher and increased diuretic doses mark progression towards endstage CHF. [ABSTRACT FROM AUTHOR]

Aims Previous studies have identified candidate circulating microRNAs (circmiRs) as biomarkers for heart failure (HF) using relatively insensitive arrays, validated in small cohorts. The present study used RNA sequencing to identify novel candidate circmiRs and compared these with previously identified circmiRs in a large, prospective cohort of patients with acute HF (AHF). Methods and results RNA sequencing of plasma from instrumented pigs was used to identify circmiRs produced by myocardium. Production of known myomiRs and microRNA (miR)-1306-5p was identified. The prognostic values of this and 11 other circmiRs were tested in a prospective cohort of 496 AHF patients, from whom blood samples were collected at up to seven time-points during the study's 1-year follow-up. The primary endpoint was the composite of all-cause mortality and HF rehospitalization. In the prospective AHF cohort, 188 patients reached the primary endpoint, and higher values of repeatedly measured miR-1306-5p were positively associated with risk for reaching the primary endpoint at the same time-point [hazard ratio (HR) 4.69, 95% confidence interval (CI) 2.18-10.06], independent of clinical characteristics and NT-proBNP. Baseline miR-1306-5p did not improve model discrimination/reclassification significantly compared with NT-proBNP. For miR-320a, miR-378a-3p, miR-423-5p and miR-1254, associations with the primary endpoint were present after adjustment for age and sex (HR 1.38, 95% CI 1.12-1.70; HR 1.35, 95% CI 1.04-1.74; HR 1.45, 95% CI 1.10-1.92; HR 1.22, 95% CI 1.00-1.50, respectively). Rates of detection of myomiRs miR-208a-3p and miR-499a-5p were very low. Conclusions Repeatedly measured miR-1306-5p was positively associated with adverse clinical outcome in AHF, even after multivariable adjustment including NT-proBNP. However, baseline miR-1306-5p did not add significant discriminatory value to NT-proBNP. Low-abundance, heart-enriched myomiRs are often undetectable, which mandates the development of more sensitive assays. [ABSTRACT FROM AUTHOR]

Background: We aimed to identify patients with subphenotypes of postacute coronary syndrome (ACS) using repeated measurements of high-sensitivity cardiac troponin T, N-terminal pro-B-type natriuretic peptide, high-sensitivity C-reactive protein, and growth differentiation factor 15 in the year after the index admission, and to investigate their association with long-term mortality risk., Methods and Results: BIOMArCS (BIOMarker Study to Identify the Acute Risk of a Coronary Syndrome) was an observational study of patients with ACS, who underwent high-frequency blood sampling for 1 year. Biomarkers were measured in a median of 16 repeated samples per individual. Cluster analysis was performed to identify biomarker-based subphenotypes in 723 patients without a repeat ACS in the first year. Patients with a repeat ACS (N=36) were considered a separate cluster. Differences in all-cause death were evaluated using accelerated failure time models (median follow-up, 9.1 years; 141 deaths). Three biomarker-based clusters were identified: cluster 1 showed low and stable biomarker concentrations, cluster 2 had elevated concentrations that subsequently decreased, and cluster 3 showed persistently elevated concentrations. The temporal biomarker patterns of patients in cluster 3 were similar to those with a repeat ACS during the first year. Clusters 1 and 2 had a similar and favorable long-term mortality risk. Cluster 3 had the highest mortality risk. The adjusted survival time ratio was 0.64 (95% CI, 0.44-0.93; P =0.018) compared with cluster 1, and 0.71 (95% CI, 0.39-1.32; P =0.281) compared with patients with a repeat ACS., Conclusions: Patients with subphenotypes of post-ACS with different all-cause mortality risks during long-term follow-up can be identified on the basis of repeatedly measured cardiovascular biomarkers. Patients with persistently elevated biomarkers have the worst outcomes, regardless of whether they experienced a repeat ACS in the first year.