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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/m 2 ) 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., (© 2024 The Author(s). Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society.)

Circulating proteins may provide insights into the varying biological mechanisms involved in heart failure (HF) with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF). We aimed to identify specific proteomic patterns for HF, by comparing proteomic profiles across the ejection fraction spectrum. We investigated 4210 circulating proteins in 739 patients with normal (Stage A/Healthy) or elevated (Stage B) filling pressures, HFpEF, or ischemic HFrEF (iHFrEF). We found 2122 differentially expressed proteins between iHFrEF-Stage A/Healthy, 1462 between iHFrEF-HFpEF and 52 between HFpEF-Stage A/Healthy. Of these 52 proteins, 50 were also found in iHFrEF vs. Stage A/Healthy, leaving SLITRK6 and NELL2 expressed in lower levels only in HFpEF. Moreover, 108 proteins, linked to regulation of cell fate commitment, differed only between iHFrEF-HFpEF. Proteomics across the HF spectrum reveals overlap in differentially expressed proteins compared to stage A/Healthy. Multiple proteins are unique for distinguishing iHFrEF from HFpEF, supporting the capacity of proteomics to discern between these conditions., (© 2024. The Author(s).)

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 (P interaction : 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 (P interaction : <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 (P interaction  = 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., (© 2023 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Background: Liver dysfunction contributes to worse clinical outcomes in heart failure (HF) patients. However, studies exploring temporal evolutions of liver function parameters in chronic HF (CHF) pa- tients, and their associations with clinical outcome, are scarce. Detailed temporal patterns of alkaline phosphatase (ALP), gamma glutamyl transpeptidase (GGTP), total bilirubin (TBIL) and albumin (ALB) were investigated, and their relation with clinical outcome, in patients with stable CHF with reduced ejection fraction., Methods: Tri-monthly plasma samples were collected from 250 patients during 2.2 (1.4-2.5) years of follow-up. ALP, GGTP, ALB, and TBIL were measured in 749 selected samples and the relationship between repeatedly measured biomarker levels and the primary endpoint (PEP; composite of cardiovas- cular death, heart transplantation, left ventricular assist device implantation, and hospitalization for worsened HF) was evaluated by joint models., Results: Mean age was 66 ± 13 years; 74% were men, 25% in New York Heart Association class III-IV. 66 (26%) patients reached the PEP. Repeatedly measured levels of TBIL, ALP, GGTP, and ALB were associated with the PEP after adjustment for N-terminal prohormone B-type natriuretic peptide and high sensitivity troponin T (hazard ratio [95% confidence interval] per doubling of biomarker level: 1.98 [1.32; 2.95], p = 0.002; 1.84 [1.09; 3.05], p = 0.018, 1.33 [1.08; 1.63], p = 0.006 and 1.14 [1.09; 1.20], p < 0.001, respectively). Serial levels of ALP and GGTP, and slopes of the temporal evolutions of ALB and TBIL, adjusted for clinical variables, were also significantly associated with the PEP., Conclusions: Changes in serum levels of TBIL, ALP, GGTP, and ALB precede adverse cardiovascular events in patients with CHF. These routine liver function parameters may provide additional prognostic information in heart failure with reduced ejection fraction patients in clinical practice.

Background: HFrEF is a heterogenous condition with high mortality. We used serial assessments of 4210 circulating proteins to identify distinct novel protein-based HFrEF subphenotypes and to investigate underlying dynamic biological mechanisms. Herewith we aimed to gain pathophysiological insights and fuel opportunities for personalised treatment., Methods: In 382 patients, we performed trimonthly blood sampling during a median follow-up of 2.1 [IQR:1.1-2.6] years. We selected all baseline samples and two samples closest to the primary endpoint (PEP; composite of cardiovascular mortality, HF hospitalization, LVAD implantation, and heart transplantation) or censoring, and applied an aptamer-based multiplex proteomic approach. Using unsupervised machine learning methods, we derived clusters from 4210 repeatedly measured proteomic biomarkers. Sets of proteins that drove cluster allocation were analysed via an enrichment analysis. Differences in clinical characteristics and PEP occurrence were evaluated., Findings: We identified four subphenotypes with different protein profiles, prognosis and clinical characteristics, including age (median [IQR] for subphenotypes 1-4, respectively:70 [64, 76], 68 [60, 79], 57 [47, 65], 59 [56, 66]years), EF (30 [26, 36], 26 [20, 38], 26 [22, 32], 33 [28, 37]%), and chronic renal failure (45%, 65%, 36%, 37%). Subphenotype allocation was driven by subsets of proteins associated with various biological functions, such as oxidative stress, inflammation and extracellular matrix organisation. Clinical characteristics of the subphenotypes were aligned with these associations. Subphenotypes 2 and 3 had the worst prognosis compared to subphenotype 1 (adjHR (95%CI):3.43 (1.76-6.69), and 2.88 (1.37-6.03), respectively)., Interpretation: Four circulating-protein based subphenotypes are present in HFrEF, which are driven by varying combinations of protein subsets, and have different clinical characteristics and prognosis., Clinical Trial Registration: ClinicalTrials.gov Identifier: NCT01851538https://clinicaltrials.gov/ct2/show/NCT01851538., Funding: EU/EFPIA IMI2JU BigData@Heart grant n°116074, Jaap Schouten Foundation and Noordwest Academie., Competing Interests: Declaration of interests Rachel Ostroff is an employee of Somalogic Inc. with stock options. Jasper J. Brugts has received speaker fees or honoraria for advisory boards from Abbott, Novartis, Astra Zeneca, Vifor and Bayer in the past three years. The other authors have no conflicts of interest to report., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: Studies focusing on sex differences in circulating proteins in patients with heart failure with reduced ejection fraction (HFrEF) are scarce. Insight into sex-specific cardiovascular protein profiles and their associations with the risk of adverse outcomes may contribute to a better understanding of the pathophysiological processes involved in HFrEF. Moreover, it could provide a basis for the use of circulating protein measurements for prognostication in women and men, wherein the most relevant protein measurements are applied in each of the sexes., Methods: In 382 patients with HFrEF, we performed tri-monthly blood sampling (median follow-up: 25 [13-31] 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 censoring. We then applied an aptamer-based multiplex proteomic assay identifying 1105 proteins previously associated with cardiovascular disease. We used linear regression models and gene-enrichment analysis to study sex-based differences in baseline levels. We used time-dependent Cox models to study differences in the prognostic value of serially measured proteins. All models were adjusted for the MAGGIC HF mortality risk score and p-values for multiple testing., Results: In 104 women and 278 men (mean age 62 and 64 years, respectively) cumulative PEP incidence at 30 months was 25% and 35%, respectively. At baseline, 55 (5%) out of the 1105 proteins were significantly different between women and men. The female protein profile was most strongly associated with extracellular matrix organization, while the male profile was dominated by regulation of cell death. The association of endothelin-1 (P interaction  < 0.001) and somatostatin (P interaction  = 0.040) with the PEP was modified by sex, independent of clinical characteristics. Endothelin-1 was more strongly associated with the PEP in men (HR 2.62 [95%CI, 1.98, 3.46], p < 0.001) compared to women (1.14 [1.01, 1.29], p = 0.036). Somatostatin was positively associated with the PEP in men (1.23 [1.10, 1.38], p < 0.001), but inversely associated in women (0.33 [0.12, 0.93], p = 0.036)., Conclusion: Baseline cardiovascular protein levels differ between women and men. However, the predictive value of repeatedly measured circulating proteins does not seem to differ except for endothelin-1 and somatostatin., (© 2023. The Author(s).)

Background: Studies on serially measured GDF-15 (growth differentiation factor 15) in acute heart failure (HF) are limited. Moreover, several pathophysiological pathways contribute to HF. Therefore, we aimed to explore the (additional) prognostic value of serially measured GDF-15 using a multi-marker approach to more accurately predict HF risk., Methods: TRIUMPH (Translational Initiative on Unique and Novel Strategies for Management of Patients With Heart Failure) is a prospective cohort of 496 patients with acute HF who were enrolled in 14 hospitals in the Netherlands between 2009 and 2014. Blood sampling was scheduled at 7 moments during 1-year follow-up. GDF-15, NT-proBNP (N-terminal pro-B-type natriuretic peptide), ST2 (suppression of tumorigenicity 2), galectin-3, troponin I, and creatinine were measured in a central laboratory. We associated repeated measurements of these biomarkers with the composite primary end point of all-cause mortality and HF rehospitalization, using multivariable joint modeling., Results: Median age was 74 years, and 37% were women. Median baseline GDF-15 was 4632 pg/mL. The primary end point was reached in 188 (40%) patients. The average estimated GDF-15 level increased weeks before the primary end point was reached. The hazard ratio per 1 SD difference in log-GDF-15 was 2.14 (95% CI, 1.78-2.57) unadjusted, 1.96 (1.49-2.53) after adjustment for clinical confounders and 1.44 (1.05-1.91) when jointly modeled with all biomarkers. The adjusted HRs for NT-proBNP were 2.38 (1.78-3.33) and 1.52 (1.15-2.08), respectively. The multimarker model combining GDF-15, NT-proBNP, and troponin I provided a favorable risk discrimination (area under the curve=0.785)., Conclusions: Sequentially measured GDF-15 independently and dynamically predicts risk of adverse outcomes during 1-year follow-up after index admission for acute HF. NT-proBNP remains a robust predictor among potential candidates. Multiple biomarkers should be considered for stratification in clinical practice., Registration: URL: https://www.trialregister.nl/trial/1783; Unique Identifier: NTR1893. (The trial can be found temporarily at https://trialsearch.who.int/Trial2.aspx?TrialID=NTR1893.).

Background: This study aimed to identify heart failure (HF) subphenotypes using 92 repeatedly measured circulating proteins in 250 patients with heart failure with reduced ejection fraction, and to investigate their clinical characteristics and prognosis., Methods: Clinical data and blood samples were collected tri-monthly until the primary endpoint (PEP) or censoring occurred, with a maximum of 11 visits. The Olink Cardiovascular III panel was measured in baseline samples and the last two samples before the PEP (in 66 PEP cases), or the last sample before censoring (in 184 PEP-free patients). The PEP comprised cardiovascular death, heart transplantation, Left Ventricular Assist Device implantation, and hospitalization for HF. Cluster analysis was performed on individual biomarker trajectories to identify subphenotypes. Then biomarker profiles and clinical characteristics were investigated, and survival analysis was conducted., Results: Clustering revealed three clinically diverse subphenotypes. Cluster 3 was older, with a longer duration of, and more advanced HF, and most comorbidities. Cluster 2 showed increasing levels over time of most biomarkers. In cluster 3, there were elevated baseline levels and increasing levels over time of 16 remaining biomarkers. Median follow-up was 2.2 (1.4-2.5) years. Cluster 3 had a significantly poorer prognosis compared to cluster 1 (adjusted event-free survival time ratio 0.25 (95%CI:0.12-0.50), p < 0.001). Repeated measurements clusters showed incremental prognostic value compared to clusters using single measurements, or clinical characteristics only., Conclusions: Clustering based on repeated biomarker measurements revealed three clinically diverse subphenotypes, of which one has a significantly worse prognosis, therefore contributing to improved (individualized) prognostication., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)

Aims: The relation between non-cardiac comorbidities and health-related quality of life (HRQoL) in patients with heart failure (HF) has been studied to a limited extent. To investigate the HRQoL and their determinants among HF patients with and without comorbidities., Methods and Results: TRIUMPH (TRanslational Initiative on Unique and novel strategies for Management of Patients with Heart failure) is a Dutch prospective, multicentre study enrolling 496 acute HF patients between 2009 and 2014. We included 334 patients who had completed the HRQoL questionnaires at baseline. The HRQoL was measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ) en EuroQuality-of-life five Dimensions (EQ-5D). Comorbidity was defined as having a history of at least one of the following comorbidities: chronic kidney disease, diabetes mellitus, chronic obstructive pulmonary disease (COPD), and/or cerebrovascular accident. Patients with comorbidity (n = 205, 61%) had lower scores on the physical limitation scale and clinical summary score of the KCCQ (P = 0.03 and P = 0.01, respectively). Female sex, COPD, previous HF, increasing body mass index (BMI), elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP), high systolic blood pressure, and the presence of anxiety and/or depression negatively influenced the HRQoL among HF patients with comorbidity. Besides anxiety and depression, we hardly found any other determinant of HRQoL in patients without comorbidity., Conclusion: Heart failure patients without comorbidity had better HRQoL than patients with comorbidity. Sex, previous HF, BMI, COPD, systolic blood pressure, NT-proBNP levels, and also anxiety and depression were determinants of HRQoL in patients with comorbidity. In those without comorbidity, apart from anxiety and depression, no further determinants of HRQoL were found., (© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.)

The aim of our observational study was to derive a small set out of 92 repeatedly measured biomarkers with optimal predictive capacity for adverse clinical events in heart failure, which could be used for dynamic, individual risk assessment in clinical practice. In 250 chronic HFrEF (CHF) patients, we collected trimonthly blood samples during a median of 2.2 years. We selected 537 samples for repeated measurement of 92 biomarkers with the Cardiovascular Panel III (Olink Proteomics AB). We applied Least Absolute Shrinkage and Selection Operator (LASSO) penalization to select the optimal set of predictors of the primary endpoint (PE). The association between repeatedly measured levels of selected biomarkers and the PE was evaluated by multivariable joint models (mvJM) with stratified fivefold cross validation of the area under the curve (cvAUC). The PE occurred in 66(27%) patients. The optimal set of biomarkers selected by LASSO included 9 proteins: NT-proBNP, ST2, vWF, FABP4, IGFBP-1, PAI-1, PON-3, transferrin receptor protein-1, and chitotriosidase-1, that yielded a cvAUC of 0.88, outperforming the discriminative ability of models consisting of standard biomarkers (NT-proBNP, hs-TnT, eGFR clinically adjusted) - 0.82 and performing equally well as an extended literature-based set of acknowledged biomarkers (NT-proBNP, hs-TnT, hs-CRP, GDF-15, ST2, PAI-1, Galectin 3) - 0.88. Nine out of 92 serially measured circulating proteins provided a multivariable model for adverse clinical events in CHF patients with high discriminative ability. These proteins reflect wall stress, remodelling, endothelial dysfunction, iron deficiency, haemostasis/fibrinolysis and innate immunity activation. A panel containing these proteins could contribute to dynamic, personalized risk assessment.Clinical Trial Registration: 10/05/2013 https://clinicaltrials.gov/ct2/show/NCT01851538?term=nCT01851538&draw=2&rank=1 ., (© 2022. The Author(s).)

Background: High mortality and rehospitalization rates demonstrate that improving risk assessment in heart failure patients remains challenging. Individual temporal evolution of kidney biomarkers is associated with poor clinical outcome in these patients and hence may carry the potential to move towards a personalized screening approach., Methods: In 263 chronic heart failure patients included in the prospective Bio-SHiFT cohort study, glomerular and tubular biomarker measurements were serially obtained according to a pre-scheduled, fixed trimonthly scheme. The primary endpoint (PE) comprised cardiac death, cardiac transplantation, left ventricular assist device implantation or heart failure hospitalization. Personalized scheduling of glomerular and tubular biomarker measurements was compared to fixed scheduling in individual patients by means of a simulation study, based on clinical characteristics of the Bio-SHiFT study. For this purpose, repeated biomarker measurements and the PE were jointly modeled. For personalized scheduling, using this fitted joint model, we determined the optimal time point of the next measurement based on the patient's individual risk profile as estimated by the joint model and the maximum information gain on the patient's prognosis. We compared the schedule's capability of enabling timely intervention before the occurrence of the PE and number of measurements needed., Results: As compared to a pre-defined trimonthly scheduling approach, personalized scheduling of glomerular and tubular biomarker measurements showed similar performance with regard to prognostication, but required a median of 0.4-2.7 fewer measurements per year., Conclusion: Personalized scheduling is expected to reduce the number of patient visits and healthcare costs. Thus, it may contribute to efficient monitoring of chronic heart failure patients and could provide novel opportunities for timely adaptation of treatment., (© 2021. The Author(s).)

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., (© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Aim: To investigate the temporal evolution of plasma proprotein convertase subtilisin/kexin type 9 (PCSK9), low-density lipoprotein receptor (LDLR) and myeloperoxidase (MPO) in relation to clinical outcome in chronic heart failure (CHF). Methodology & results: Trimonthly blood sampling was performed during a median follow-up of 2.2 (IQR 1.4-2.5) years in 263 CHF patients. Seventy patients reached the primary end point (PE) (cardiovascular death, heart transplantation, left ventricular assist device implantation or HF-hospitalization). MPO level was independently associated with the PE; the adjusted (for clinical factors) hazard ratio (aHR) per standard deviation difference in MPO was 1.71 (95% CI: 1.23-2.43) at any time during follow-up. PCSK9 level (HR: 1.45 [1.04-2.06]) and LDLR (HR: 0.66 [0.49-0.87]) were statistical significantly associated with the PE but only in unadjusted analyses. Slope of temporal MPO evolution (aHR: 1.34 [1.12-1.76] per 0.1 standard deviation/year difference in slope) and LDLR (aHR: 0.78 [0.61-0.90]) however, were associated with PE. Conclusion: Temporal patterns of MPO and LDLR are independently associated with clinical outcome in CHF, which illustrates the importance of assessing temporal evolutions. Clinical trial registration information: registered in ClinicalTrials.gov, number NCT01851538. https://clinicaltrials.gov/ct2/show/NCT01851538.

Background: Prognostic models developed in general cohorts with a mixture of heart failure (HF) phenotypes, though more widely applicable, are also likely to yield larger prediction errors in settings where the HF phenotypes have substantially different baseline mortality rates or different predictor-outcome associations. This study sought to use individual participant data meta-analysis to develop an HF phenotype stratified model for predicting 1-year mortality in patients admitted with acute HF., Methods: Four prospective European cohorts were used to develop an HF phenotype stratified model. Cox model with two rounds of backward elimination was used to derive the prognostic index. Weibull model was used to obtain the baseline hazard functions. The internal-external cross-validation (IECV) approach was used to evaluate the generalizability of the developed model in terms of discrimination and calibration., Results: 3577 acute HF patients were included, of which 2368 were classified as having HF with reduced ejection fraction (EF) (HFrEF; EF < 40%), 588 as having HF with midrange EF (HFmrEF; EF 40-49%), and 621 as having HF with preserved EF (HFpEF; EF ≥ 50%). A total of 11 readily available variables built up the prognostic index. For four of these predictor variables, namely systolic blood pressure, serum creatinine, myocardial infarction, and diabetes, the effect differed across the three HF phenotypes. With a weighted IECV-adjusted AUC of 0.79 (0.74-0.83) for HFrEF, 0.74 (0.70-0.79) for HFmrEF, and 0.74 (0.71-0.77) for HFpEF, the model showed excellent discrimination. Moreover, there was a good agreement between the average observed and predicted 1-year mortality risks, especially after recalibration of the baseline mortality risks., Conclusions: Our HF phenotype stratified model showed excellent generalizability across four European cohorts and may provide a useful tool in HF phenotype-specific clinical decision-making.

In this prospective cohort study of 250 stable heart failure patients with trimonthly blood sampling, we investigated associations of 17 repeatedly measured cytokines and cytokine receptors with clinical outcome during a median follow-up of 2.2 (25th-75th percentile, 1.4-2.5) years. Sixty-six patients reached the primary end point (composite of cardiovascular mortality, heart failure hospitalization, heart transplantation, left ventricular assist device implantation). Repeatedly measured levels of 8 biomarkers correlated with clinical outcomes independent of clinical characteristics. Rates of change over time (slopes of biomarker evolutions) remained independently associated with outcome for 15 biomarkers. Thus, temporal patterns of cytokines and cytokine receptors, in particular tumour necrosis factor ligand superfamily member 13B and interleukin-1 receptor type 1, might contribute to personalized risk assessment., (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)

Aims: To further elucidate the nature of the association between N-terminal pro-B type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-TnT), C-reactive protein (CRP), and clinical outcome, we examined the relationship between serial simultaneous measurements of echocardiographic parameters and these biomarkers in chronic heart failure (CHF) patients., Methods and Results: In 117 CHF patients with ejection fraction ≤50%, NT-proBNP, hs-TnT, and CRP were measured simultaneously with echocardiographic evaluation at 6-month intervals until the end of 30 months follow-up or until an adverse clinical event occurred. Linear mixed effects models were used for data-analysis. Median follow-up was 2.2 years (interquartile range 1.5-2.6). We performed up to six follow-up evaluations with 55% of patients having at least three evaluations performed. A model containing all three biomarkers revealed that doubling of NT-proBNP was associated with a decrease in left ventricular ejection fraction by 1.83 (95% confidence interval -2.63 to -1.03)%, P < 0.0001; relative increase in mitral E/e' ratio by 12 (6-18)%, P < 0.0001; relative increase in mitral E/A ratio by 16 (9-23)%, P < 0.0001; decrease in tricuspid annular plane systolic excursion by 0.66 (-1.27 to -0.05) mm, P = 0.03; rise in tricuspid regurgitation peak systolic gradient by 2.74 (1.43-4.05) mmHg, P = 0.001; and increase in left ventricular and atrial dimensions, P < 0.05. Hs-TnT and CRP showed significant associations with some echocardiographic parameters after adjustment for clinical covariates, but after adjustment for the other biomarkers the associations were not significant., Conclusion: Serum NT-proBNP independently reflects changes in echocardiographic parameters of systolic function, left ventricular filling pressures, estimated pulmonary pressure, and chamber dimensions. Our results support further studies on NT-proBNP as a surrogate marker for haemodynamic congestion and herewith support its potential value for therapy guidance., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.)

Background: It is uncertain that chronic heart failure (CHF) patients are susceptible to renal tubular damage with that of worsening renal function (WRF) preceding clinical outcomes., Hypothesis: Changes in tubular damage biomarkers are stronger predictors of subsequent clinical events than changes in creatinine (Cr), and both have different clinical determinants., Methods: During 2.2 years, we repeatedly simultaneously collected a median of 9 blood and 8 urine samples per patient in 263 CHF patients. We determined the slopes (rates of change) of the biomarker trajectories for plasma (Cr) and urinary tubular damage biomarkers N-acetyl-β-d-glucosaminidase (NAG), and kidney-injury-molecule (KIM)-1. The degree of tubular injury was ranked according to NAG and KIM-1 slopes: increase in neither, increase in either, or increase in both; WRF was defined as increasing Cr slope. The composite endpoint comprised HF-hospitalization, cardiac death, left ventricular assist device placement, and heart transplantation., Results: Higher baseline NT-proBNP and lower eGFR predicted more severe tubular damage (adjusted odds ratio, adj. OR [95%CI, 95% confidence interval] per doubling NT-proBNP: 1.26 [1.07-1.49]; per 10 mL/min/1.73 m 2 eGFR decrease 1.16 [1.03-1.31]). Higher loop diuretic doses, lower aldosterone antagonist doses, and higher eGFR predicted WRF (furosemide per 40 mg increase: 1.32 [1.08-1.62]; spironolactone per 25 mg decrease: 1.76 [1.07-2.89]; per 10 mL/min/1.73 m 2 eGFR increase: 1.40 [1.20-1.63]). WRF and higher rank of tubular injury individually entailed higher risk of the composite endpoint (adjusted hazard ratios, adj. HR [95%CI]: WRF 1.9 [1.1-3.4], tubular 8.4 [2.6-27.9]; when combined risk was highest 15.0 [2.0-111.0])., Conclusion: Slopes of tubular damage and WRF biomarkers had different clinical determinants. Both predicted clinical outcome, but this association was stronger for tubular injury. Prognostic effects of both appeared independent and additive., (© 2020 The Authors. Clinical Cardiology published by Wiley Periodicals, Inc.)

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., (© 2020 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology.)

Objective:  This article investigates whether longitudinally measured fibrinolysis factors are associated with cardiac events in patients with chronic heart failure (CHF)., Methods:  A median of 9 (interquartile range [IQR] 5-10) serial, tri-monthly blood samples per patient were prospectively collected in 263 CHF patients during a median follow-up of 2.2 (IQR 1.4-2.5) years. Seventy patients (cases) reached the composite endpoint of cardiac death, heart failure hospitalization, left ventricular assist device, or heart transplantation. From all longitudinal samples, we selected baseline samples in all patients and the last two samples before the event in cases or the last sample available in event-free patients. Herein, we measured plasminogen activator inhibitor 1 (PAI-1), tissue-type plasminogen activator (tPA), urokinase-type plasminogen activator (uPA), and soluble urokinase plasminogen activator surface receptor (suPAR). Associations between temporal biomarker patterns during follow-up and the cardiac event were investigated using a joint model., Results:  Cases were on average older and showed higher New York Heart Association class than those who remained event-free. They also had lower blood pressures, and were more likely to have diabetes, renal failure, and atrial fibrillation. Longitudinally measured PAI-1, uPA, and suPAR were independently associated with adverse cardiac events after correction for clinical characteristics (hazard ratio [95% confidence interval]) per standard deviation increase of 2.09 (1.28-3.45) for PAI-1, 1.91 (1.18-3.24) for uPA, and 3.96 (2.48-6.63) for suPAR. Serial measurements of tPA were not significantly associated with the event after correction for multiple testing., Conclusion:  Longitudinally measured PAI-1, uPA, and suPAR are strongly associated with adverse cardiac events during the course of CHF. If future research confirms our results, these fibrinolytic factors may carry potential for improved, and personalized, heart failure surveillance and treatment monitoring., Competing Interests: None declared., (Georg Thieme Verlag KG Stuttgart · New York.)

Background: We aimed to compare the prognostic value of a single "baseline" echocardiogram with repeated echocardiography in stable chronic heart failure (CHF) patients. We hypothesized that repeated echocardiograms would contain incremental prognostic information., Methods: In the prospective Bio-SHiFT study, we performed 332 echocardiograms in 106 patients during a median follow-up of 2.3 years. The endpoint comprised HF hospitalization, left ventricular (LV) assist device implantation, heart transplantation, and cardiovascular death. We compared hazard ratios (HRs; adjusted for N-terminal pro-brain natriuretic peptide) from Cox models for the first available measurement with HRs from joint models, which model individual trajectories based on the repeated measurements and link these to the time-to-event data., Results: The mean age of the patients was 58.1 years; 78.3% were male, 12.6% had New York Heart Association class >II, all had reduced ejection fraction, and the most common HF etiologies were cardiomyopathies (51%) and ischemia (40%). The endpoint occurred in 25 patients. Both the single measurements and the temporal trajectories were significantly associated with the endpoint (adjusted HR Cox model [95% CI] vs adjusted HR joint model [95% CI]): LV ejection fraction, 1.47 (0.93-2.31) vs 1.77 (1.13-2.93); diastolic LV diameter, 1.64 (1.09-2.47) vs 1.68 (1.12-2.57); systolic LV diameter, 1.72 (1.10-2.69) vs 1.68 (1.13-2.63); systolic left atrial diameter, 1.88 (1.18-3.00) vs 2.60 (1.48-4.97); E/A ratio, 2.73 (1.42-5.26) vs 3.87 (1.75-10.13); and E/e' ratio, 2.30 (1.38-3.84) vs 2.99 (1.68-6.19). None of the trajectories from the investigated parameters showed worsening prior to events., Conclusions: Although single baseline or repeatedly measured echocardiographic parameters were associated with the endpoint, all parameters remained on average stable during the 2.3 years of follow-up in this largely minimally symptomatic CHF cohort. Thus, regular echocardiographic monitoring of systolic or diastolic LV function within this time frame does not carry incremental prognostic information over a single baseline measurement., (Copyright © 2019 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.)

Background Remodeling biomarkers carry high potential for predicting adverse events in chronic heart failure ( CHF ) patients. However, temporal patterns during the course of CHF , and especially the trajectory before an adverse event, are unknown. We studied the prognostic value of temporal patterns of 14 cardiac remodeling biomarker candidates in stable patients with CHF from the Bio-SHiFT (Serial Biomarker Measurements and New Echocardiographic Techniques in Chronic Heart Failure Patients Result in Tailored Prediction of Prognosis) study. Methods and Results In 263 CHF patients, we performed trimonthly blood sampling during a median follow-up of 2.2 years. For the analysis, we selected all baseline samples, the 2 samples closest to the primary end point ( PE ), or the last sample available for end point-free patients. Thus, in 567 samples, we measured suppression of tumorigenicity-2, galectin-3, galectin-4, growth differentiation factor-15, matrix metalloproteinase-2, 3, and 9, tissue inhibitor metalloproteinase-4, perlecan, aminopeptidase-N, caspase-3, cathepsin-D, cathepsin-Z, and cystatin-B. The PE was a composite of cardiovascular mortality, heart transplantation, left ventricular assist device implantation, and HF hospitalization. Associations between repeatedly measured biomarker candidates and the PE were investigated by joint modeling. Median age was 68 (interquartile range: 59-76) years with 72% men; 70 patients reached the PE . Repeatedly measured suppression of tumorigenicity-2, galectin-3, galectin-4, growth differentiation factor-15, matrix metalloproteinase-2 and 9, tissue inhibitor metalloproteinase-4, perlecan, cathepsin-D, and cystatin-B levels were significantly associated with the PE , and increased as the PE approached. The slopes of biomarker trajectories were also predictors of clinical outcome, independent of their absolute level. Associations persisted after adjustment for clinical characteristics and pharmacological treatment. Suppression of tumorigenicity-2 was the strongest predictor (hazard ratio: 7.55 per SD difference, 95% CI : 5.53-10.30), followed by growth differentiation factor-15 (4.06, 2.98-5.54) and matrix metalloproteinase-2 (3.59, 2.55-5.05). Conclusions Temporal patterns of remodeling biomarker candidates predict adverse clinical outcomes in CHF . Clinical Trial Registration URL : http://www.clinicaltrials.gov . Unique identifier: NCT 01851538.

Purpose: Multiple hormonal and metabolic alterations occur in chronic heart failure (CHF), but their proper monitoring during clinically silent progression of CHF remains challenging. Hence, our objective was to explore whether temporal patterns of six emerging cardiometabolic biomarkers predict future adverse clinical events in stable patients with CHF., Methods: In 263 patients with CHF, we determined the risk of a composite end point of heart failure hospitalization, cardiac death, left ventricular assist device implantation, and heart transplantation in relation to serially assessed blood biomarker levels and slopes (i.e., rate of biomarker change per year). During 2.2 years of follow-up, we repeatedly measured IGF binding proteins 1, 2, and 7 (IGFBP-1, IGFBP-2, IGFBP-7), adipose fatty acid binding protein 4 (FABP-4), resistin, and chemerin (567 samples in total)., Results: Serially measured IGFBP-1, IGFBP-2, IGFBP-7, and FABP-4 levels predicted the end point [univariable hazard ratio (95% CI) per 1-SD increase: 3.34 (2.43 to 4.87), 2.86 (2.10 to 3.92), 2.45 (1.91 to 3.13), and 2.46 (1.88 to 3.24), respectively]. Independently of the biomarkers' levels, their slopes were also strong clinical predictors [per 0.1-SD increase: 1.20 (1.11 to 1.31), 1.27 (1.14 to 1.45), 1.23 (1.11 to 1.37), and 1.27 (1.12 to 1.48)]. All associations persisted after multivariable adjustment for patient baseline characteristics, baseline N-terminal pro-hormone brain natriuretic peptide and cardiac troponin T, and pharmacological treatment during follow-up., Main Conclusions: The temporal patterns of IGFBP-1, IGFBP-2, IGFBP-7, and adipose FABP-4 predict adverse clinical outcomes during outpatient follow-up of patients with CHF and may be clinically relevant as they could help detect more aggressive CHF forms and assess patient prognosis, as well as ultimately aid in designing more effective biomarker-guided therapy.

Background: Renal dysfunction and anaemia are common in patients with acute heart failure (HF). It is not known whether their combined presence has additive prognostic value. We investigated their prognostic value separately and in combination, on prognosis in acute HF patients. Furthermore, we examined whether the improvement in prognosis was comparable between patients with and without renal dysfunction., Methods and Results: This prospective registry includes 1783 patients admitted to the (Intensive) Coronary Care Unit for acute HF in the period of 1985-2008. The outcome measure was the composite of all-cause mortality, heart transplantation and left ventricular assist device implantation. In patients without renal dysfunction, anemia was associated with worse 30-day outcome (HR 2.91; [95% CI 1.69-5.00]), but not with 10-year outcome (HR 1.13 [95% CI 0.93-1.37]). On the contrary, anemia was found to influence prognosis in patients with renal dysfunction, both at 30 days (HR 1.93 [95% CI 1.33-2.80]) and at 10 years (HR 1.27 [95% CI 1.10-1.47]). Over time, the 10-year survival rate improved in patients with preserved renal function (HR 0.73 [95% CI 0.55-0.97]), but not in patients with renal dysfunction., Conclusion: The long-term prognosis of acute HF patients with a preserved renal function was found to have improved significantly. However, the prognosis of patients with renal dysfunction did not change. Anemia was a strong prognosticator for short-term outcome in all patients. In patients with renal dysfunction, anemia was also associated with impaired long-term prognosis., Competing Interests: The authors have declared that no competing interests exist.

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., (© 2017 American Society for Clinical Pharmacology and Therapeutics.)

Renal dysfunction is an important component of chronic heart failure (CHF), but its single assessment does not sufficiently reflect clinically silent progression of CHF prior to adverse clinical outcome. Therefore, we aimed to investigate temporal evolutions of glomerular and tubular markers in 263 stable patients with CHF, and to determine if their patient-specific evolutions during this clinically silent period can dynamically predict clinical outcome. We determined the risk of clinical outcome (composite endpoint of Heart Failure hospitalization, cardiac death, Left Ventricular Assist Device placement, and heart transplantation) in relation to marker levels, slopes and areas under their trajectories. In each patient, the trajectories were estimated using repeatedly measured glomerular markers: creatinine/estimated glomerular filtration rate (eGFR), cystatin C (CysC), and tubular markers: urinary N-acetyl-beta-D-glucosaminidase (NAG) and kidney injury molecule (KIM)-1, plasma and urinary neutrophil gelatinase-associated lipocalin (NGAL). During 2.2 years of follow-up, we collected on average 8 urine and 9 plasma samples per patient. All glomerular markers predicted the endpoint (univariable hazard ratio [95% confidence interval] per 20% increase: creatinine: 1.18[1.07-1.31], CysC: 2.41[1.81-3.41], and per 20% eGFR decrease: 1.13[1.05-1.23]). Tubular markers, NAG, and KIM-1 also predicted the endpoint (NAG: 1.06[1.01-1.11] and KIM-1: 1.08[1.04-1.11]). Larger slopes were the strongest predictors (creatinine: 1.57[1.39-1.84], CysC: 1.76[1.52-2.09], eGFR: 1.59[1.37-1.90], NAG: 1.26[1.11-1.44], and KIM-1: 1.64[1.38-2.05]). Associations persisted after multivariable adjustment for clinical characteristics. Thus, during clinically silent progression of CHF, glomerular and tubular functions deteriorate, but not simultaneously. Hence, patient-specific evolutions of these renal markers dynamically predict clinical outcome in patients with CHF., (Copyright © 2017 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.)

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., (© 2017 The Authors. European Journal of Heart Failure © 2017 European Society of Cardiology.)

Objective: We studied differences in long-term (i.e., 10 year) prognosis among patients with acute heart failure (HF) with and without diabetes over the last three decades. In addition, we investigated whether the degree of prognostic improvement in that period was comparable between patients with and without diabetes., Research Design and Methods: This prospective registry included all consecutive patients aged 18 years and older admitted to the Intensive Coronary Care Unit with acute HF in the period of 1985-2008. A total of 1,810 patients were included; 384 patients (21%) had diabetes. The outcome measure was the composite of all-cause mortality, heart transplantation, and left ventricular assist device implantation after 10-year follow-up., Results: The 10-year outcome in patients with diabetes was significantly worse than in those without diabetes (87% vs. 76%; adjusted hazard ratio [HR] 1.17 [95% CI 1.02-1.33]). Patients admitted in the last decade had a significantly lower 10-year event rate than patients admitted in the first two decades, both among patients without diabetes (adjusted HR 0.86 [95% CI 0.75-0.99]) and patients with diabetes (adjusted HR 0.80 [95% CI 0.63-1.00])., Conclusions: The long-term outcome of patients with diabetes is worse than that of patients without diabetes. However, the long-term prognosis improved over time in both groups. Importantly, this improvement in long-term prognosis was comparable in patients with and without diabetes. Despite these promising results, more awareness for diabetes in patients with acute HF is necessary and there is still need for optimal treatment of diabetes in acute HF., (© 2017 by the American Diabetes Association.)

Background: Several clinical studies have evaluated the association between galectin-3 levels and outcome in patients with heart failure (HF). However, little is known about the predictive value of repeated galectin-3 measurements. This study evaluates the prognostic value of repeated time-dependent galectin-3 measurements in acute HF patients., Methods and Results: In the TRIUMPH (Translational Initiative on Unique and Novel Strategies for Management of Patients with Heart Failure) clinical cohort study, 496 acute HF patients were enrolled in 14 hospitals in The Netherlands, between 2009 and 2014. Repeated blood samples (7) were drawn during 1-year follow-up. Associations between repeated biomarker measurements and the primary end point were assessed using a joint model. Median age was 74 years and 37% were women. The primary end point, composite of all-cause mortality and HF rehospitalization, was reached in 188 patients (40%), during a median follow-up of 325 days (interquartile range 85-401). The median baseline galectin-3 level was 24 ng/mL (interquartile range 18-34). The mean number of galectin-3 measurements available per patient was 4.3. After adjustment for clinical factors and N-terminal pro-brain natriuretic peptide, there was a weak association between baseline galectin-3 and risk of the primary end point. When repeated measurements were taken into account, the adjusted hazard ratio per 1 SD increase of the galectin-3 level (on the log2 scale) at any time point increased to 1.67 (95% confidence interval, 1.24-2.23, P <0.001). After additional adjustment for repeated N-terminal pro-brain natriuretic peptide measurements, the association remained statistically significant., Conclusions: Repeated galectin-3 measurements appeared to be a strong predictor of outcome in acute HF patients, independent of N-terminal pro-brain natriuretic peptide. Hence, galectin-3 may be helpful in clinical practice for prognostication and treatment monitoring., (© 2017 The Authors and Koninklijke Philips. Published on behalf of the American Heart Association, Inc., by Wiley.)

Background: Several clinical studies have evaluated the association between ST2 and outcome in patients with heart failure (HF). However, little is known about the predictive value of frequently measured ST2 levels in patients with acute HF., Objectives: This study sought to describe the prognostic value of baseline and repeated ST2 measurements in patients with acute HF., Methods: In the TRIUMPH (Translational Initiative on Unique and novel strategies for Management of Patients with Heart failure) clinical cohort study, 496 patients with acute HF were enrolled in 14 hospitals in the Netherlands between 2009 and 2014. Repeated blood samples (7) were drawn during 1-year follow-up. ST2 and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels were measured in a central laboratory. The primary endpoint was the composite of all-cause mortality and HF rehospitalization. Associations between repeated biomarker measurements and the primary endpoint were assessed using a joint model., Results: Median age was 74 years, and 37% of patients were women. The primary endpoint was reached in 188 patients (40%) during a median follow-up of 325 days (interquartile range: 85 to 401). The median baseline ST2 level was 71 ng/ml (interquartile range: 46 to 102). After adjustment for clinical factors and NT-proBNP, baseline ST2 was associated with an increased risk of the primary endpoint, and the hazard ratio per 1 SD increase of the baseline ST2 level (on the log 2 scale) was 1.30 (95% confidence interval: 1.08 to 1.56; p = 0.005). When repeated measurements were taken into account, the adjusted hazard ratio per 1 SD increase of the ST2 level (on the log 2 scale) during follow-up increased to 1.85 (95% confidence interval: 1.02 to 3.33; p = 0.044), adjusted for clinical factors and repeated measurements of NT-proBNP. Furthermore, ST2 levels appeared to elevate several weeks before the time of the primary endpoint., Conclusions: Repeated ST2 measurements appeared to be a strong predictor of outcome in patients with acute HF, independent of repeatedly measured NT-proBNP. Hence ST2 may be helpful in clinical practice for prognostication and treatment monitoring. (TRanslational Initiative on Unique and novel strategies for Management of Patients with Heart failure [TRIUMPH]; NTR1893)., (Copyright © 2017 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Background: Several studies have suggested circulating microRNAs (miRs) are associated with heart failure, but these studies were small, and limited to single miR measurements. We examined 7 miRs which were previously linked to heart failure, and tested whether their temporal expression level predicts prognosis in a prospective cohort of chronic heart failure (CHF) patients., Methods and Results: In 2011-2013, 263 CHF patients were included. At inclusion and subsequently every 3months, we measured 7miRs. The primary endpoint (PE) comprised heart failure hospitalization, cardiovascular mortality, cardiac transplantation and LVAD implantation. Associations between temporal miR patterns and the PE were investigated by joint modelling, which combines mixed models with Cox regression. Mean age was 67±13years, 72% were men and 27% NYHA classes III-IV. We obtained 873 blood samples (median 3 [IQR 2-5] per patient). The PE was reached in 41 patients (16%) during a median follow-up of 0.9 [0.6-1.4] years. The temporal pattern of miR-22-3p was independently associated with the PE (HR [95% CI] per doubling of level: 0.64 [0.47-0.77]). The instantaneous change in level (slope of the temporal miR pattern) of miR-22-3p was also independently associated with the PE (HR [95% CI] per doubling of slope: 0.33 [0.20-0.51]). These associations remained statistically significant after adjustment for temporal patterns of NT-proBNP, Troponin T and CRP., Conclusions: The temporal pattern of circulating miR-22-3p contains important prognostic and independent information in CHF patients. This concept warrants further investigation in larger series with extended follow-up., (Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.)

Chemokines are involved in the remodeling of the heart; however, their significance as biomarkers in heart failure is unknown. We observed that circulating CXCR3 receptor chemokines CXCL9 and CXCL10 in a rat model of heart failure were increased 1 week after myocardial infarction. CXCL10 was also increased in both remote and infarcted regions of the heart and remained elevated at 16 weeks; CXCL9 was elevated in the remote area at 1 week. In humans, hierarchical clustering and principal component analysis revealed that circulating CXCL10, MIP-1α, and CD40 ligand were the best indicators for differentiating healthy and heart failure subjects. Serum CXCL10 levels were increased in patients with symptomatic heart failure as indexed by NYHA classification II through IV. The presence of CXCL10, MIP-1α, and CD40 ligand appears to be dominant in patients with advanced heart failure. These findings identify a distinct profile of inflammatory mediators in heart failure patients.

Aims: Heart failure with normal ejection fraction (HFNEF) is a major and growing public health problem, currently representing half of the heart failure burden. Although many studies have investigated the diagnostic and prognostic value of new biomarkers in heart failure, limited data are available on biomarkers other than natriuretic peptides in HFNEF. We performed a systematic review of epidemiological studies on the associations of biomarkers with the occurrence of HFNEF and with the prognosis of HFNEF patients., Methods and Results: Biomarkers examined most extensively in HFNEF include biomarkers of myocyte stress, inflammation, and extracellular matrix remodelling. Some biomarkers have been shown to be increased to a different extent in HFNEF compared with heart failure with reduced ejection fraction (HFREF). Several biomarkers, including biomarkers of myocyte stress, inflammation, extracellular matrix remodelling, growth differentiation factor 15 (GDF-15), cystatin C, resistin, and galectin-3, were associated with development of HFNEF and with clinical outcomes of HFNEF patients in terms of morbidity and mortality., Conclusion: Several biomarkers, including biomarkers of myocyte stress, inflammation, extracellular matrix remodelling, GDF-15, cystatin C, resistin, and galectin-3, appeared to be promising diagnostic and prognostic tools in patients with HFNEF. Investigation of the incremental diagnostic and prognostic value of these biomarkers, or a combination thereof, over established clinical covariates and imaging techniques in large, prospective studies is warranted.

Aims The relation between non-cardiac comorbidities and health-related quality of life (HRQoL) in patients with heart failure (HF) has been studied to a limited extent. To investigate the HRQoL and their determinants among HF patients with and without comorbidities. Methods and results TRIUMPH (TRanslational Initiative on Unique and novel strategies for Management of Patients with Heart failure) is a Dutch prospective, multicentre study enrolling 496 acute HF patients between 2009 and 2014. We included 334 patients who had completed the HRQoL questionnaires at baseline. The HRQoL was measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ) en EuroQuality-of-life five Dimensions (EQ-5D). Comorbidity was defined as having a history of at least one of the following comorbidities: chronic kidney disease, diabetes mellitus, chronic obstructive pulmonary disease (COPD), and/or cerebrovascular accident. Patients with comorbidity (n  = 205, 61%) had lower scores on the physical limitation scale and clinical summary score of the KCCQ (P  = 0.03 and P  = 0.01, respectively). Female sex, COPD, previous HF, increasing body mass index (BMI), elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP), high systolic blood pressure, and the presence of anxiety and/or depression negatively influenced the HRQoL among HF patients with comorbidity. Besides anxiety and depression, we hardly found any other determinant of HRQoL in patients without comorbidity. Conclusion Heart failure patients without comorbidity had better HRQoL than patients with comorbidity. Sex, previous HF, BMI, COPD, systolic blood pressure, NT-proBNP levels, and also anxiety and depression were determinants of HRQoL in patients with comorbidity. In those without comorbidity, apart from anxiety and depression, no further determinants of HRQoL were found. [ABSTRACT FROM AUTHOR]

Cardiovascular inflammation and vascular endothelial dysfunction are involved in chronic heart failure (CHF), and cellular adhesion molecules are considered to play a key role in these mechanisms. We evaluated temporal patterns of 12 blood biomarkers of cell adhesion in patients with CHF. In 263 ambulant patients, serial, tri-monthly blood samples were collected during a median follow-up of 2.2 (1.4–2.5) years. The primary endpoint (PE) was a composite of cardiovascular mortality, HF hospitalization, heart transplantation and implantation of a left ventricular assist device and was reached in 70 patients. We selected the baseline blood samples in all patients, the two samples closest to a PE, or, for event-free patients, the last sample available. In these 567 samples, associations between biomarkers and PE were investigated by joint modelling. The median age was 68 (59–76) years, with 72% men and 74% New York Heart Association class I–II. Repeatedly measured levels of Complement component C1q receptor (C1qR), Cadherin 5 (CDH5), Chitinase-3-like protein 1 (CHI3L1), Ephrin type-B receptor 4 (EPHB4), Intercellular adhesion molecule-2 (ICAM-2) and Junctional adhesion molecule A (JAM-A) were independently associated with the PE. Their rates of change also predicted clinical outcome. Level of CHI3L1 was numerically the strongest predictor with a hazard ratio (HR) (95% confidence interval) of 2.27 (1.66–3.16) per SD difference in level, followed by JAM-A (2.10, 1.42–3.23) and C1qR (1.90, 1.36–2.72), adjusted for clinical characteristics. In conclusion, temporal patterns of C1qR, CDH5, CHI3L1, EPHB4, ICAM2 and JAM-A are strongly and independently associated with clinical outcome in CHF patients. [ABSTRACT FROM AUTHOR]

The purpose of this study was to evaluate the prognostic significance of QRS duration in patients with suspected coronary artery disease (CAD) referred for noninvasive evaluation of myocardial ischemia by dobutamine stress echocardiography. QRS duration is a prognostic marker in patients with previous myocardial infarction and/or heart failure. The relation between QRS duration and outcome of patients without known heart disease has not been evaluated. A total of 1,227 patients (707 men, mean age 61 ± 14 years) with suspected CAD underwent dobutamine stress echocardiography for evaluation of myocardial ischemia. Patients were followed to determine predictors of cardiac events and to assess the incremental significance of QRS duration compared to clinical and dobutamine stress echocardiographic data. During a mean follow-up of 4.2 ± 2.4 years, 280 patients (23%) died (129 cardiac deaths), and 60 (5%) had a nonfatal infarction. Annualized cardiac death rates were 2.0% in patients with QRS duration <120 ms and 4.4% in patients with QRS duration ≥120 ms, respectively (p <0.0001). Annualized event rates for cardiac death/nonfatal infarction were 2.8% in patients with QRS duration <120 ms and 4.8% in patients with QRS duration ≥120 ms (p = 0.0001). Multivariate models identified age, male gender, smoking, QRS duration ≥120 ms, and an abnormal dobutamine stress echocardiogram as independent predictors of cardiac death and the combined end point cardiac death/nonfatal infarction. In conclusion, QRS duration is an independent predictor of cardiac death and cardiac death/nonfatal infarction in patients with suspected CAD. This risk is persistent after adjustment for clinical variables, left ventricular function, and myocardial ischemia. [Copyright &y& Elsevier]