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Aims: Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF‐related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early‐stage intervention, since haemodynamic congestion precedes clinical symptoms. Methods: The BioMEMS study, a substudy of the MONITOR‐HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR‐HF trial were collected at baseline, 3‐, 6‐, and 12‐month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS‐HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death. Conclusion: Since the prognostic value of single baseline measurements of biomarkers like N‐terminal pro‐B‐type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively. [ABSTRACT FROM AUTHOR]

Aims: N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP), high‐sensitivity troponin T (hs‐TnT) and soluble suppression of tumorigenesis‐2 (sST2) predict outcome in chronic heart failure (HF). We assessed the influence of age on circulating levels and prognostic significance of these biomarkers. Methods and results: Individual data from 5301 patients with chronic HF and NT‐proBNP, hs‐TnT, and sST2 data were evaluated. Patients were stratified according to age: <60 years (n = 1332, 25%), 60–69 years (n = 1628, 31%), 70–79 years (n = 1662, 31%), and ≥ 80 years (n = 679, 13%). Patients (median age 66 years, 75% men, median left ventricular ejection fraction 28%, 64% with ischaemic HF) had median NT‐proBNP 1564 ng/L, hs‐TnT 21 ng/L, and sST2 29 ng/mL. Age independently predicted NT‐proBNP and hs‐TnT, but not sST2. The best NT‐proBNP and hs‐TnT cut‐offs for 1‐year and 5‐year all‐cause and cardiovascular mortality and 1‐ to 12‐month HF hospitalization increased with age, while the best sST2 cut‐offs did not. When stratifying patients according to age‐ and outcome‐specific cut‐offs, this stratification yielded independent prognostic significance over NT‐proBNP levels only, or the composite of NT‐proBNP and hs‐TnT, and improved risk prediction for most endpoints. Finally, absolute NT‐proBNP, hs‐TnT, and sST2 levels predicted outcomes independent of age, sex, left ventricular ejection fraction category, ethnic group, and other variables. Conclusions: Soluble ST2 is less influenced by age than NT‐proBNP or hs‐TnT; all these biomarkers predict outcome regardless of age. The use of age‐ and outcome‐specific cut‐offs of NT‐proBNP, hs‐TnT and sST2 allows more accurate risk stratification than NT‐proBNP alone or the combination of NT‐proBNP and hs‐TnT. [ABSTRACT FROM AUTHOR]

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.) [ABSTRACT FROM AUTHOR]

Background: Soluble suppression of tumorigenesis-2 (sST2) is a biomarker related to inflammation and fibrosis.Objectives: This study assessed the independent prognostic value of sST2 in chronic heart failure (HF).Methods: Individual patient data from studies that assessed sST2 for risk prediction in chronic HF, together with N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity troponin T (hs-TnT), were retrieved.Results: A total of 4,268 patients were evaluated (median age 68 years, 75% males, 65% with ischemic HF, 87% with left ventricular ejection fraction [LVEF] <40%). NT-proBNP, hs-TnT, and sST2 were 1,360 ng/l (interquartile interval: 513 to 3,222 ng/l), 18 ng/l (interquartile interval: 9 to 33 ng/l), and 27 ng/l (interquartile interval: 20 to 39 ng/l), respectively. During a 2.4-year median follow-up, 1,319 patients (31%) experienced all-cause death (n = 932 [22%] for cardiovascular causes). Among the 4,118 patients (96%) with available data, 1,029 (24%) were hospitalized at least once for worsening HF over 2.2 years. The best sST2 cutoff for the prediction of all-cause and cardiovascular death and HF hospitalization was 28 ng/ml, with good performance at Kaplan-Meier analysis (log-rank: 117.6, 61.0, and 88.6, respectively; all p < 0.001). In a model that included age, sex, body mass index, ischemic etiology, LVEF, New York Heart Association functional class, glomerular filtration rate, HF medical therapy, NT-proBNP, and hs-TnT, the risk of all-cause death, cardiovascular death, and HF hospitalization increased by 26%, 25%, and 30%, respectively, per each doubling of sST2. sST2 retained its independent prognostic value across most population subgroups.Conclusions: sST2 yielded strong, independent predictive value for all-cause and cardiovascular mortality, and HF hospitalization in chronic HF, and deserves consideration to be part of a multimarker panel together with NT-proBNP and hs-TnT. [ABSTRACT FROM AUTHOR]

Objective Cardiac troponins T (cTnT) and I (cTnI) are the preferred biomarkers to detect myocardial damage. The present study explores the value of measuring cardiac troponins (cTn) in nursing home residents, by investigating its relation to heart failure and 1-year mortality using 1 cTnT and 2 cTnI assays that are widely used in clinical practice. Design All participants underwent extensive clinical examinations and echocardiographic assessment for the diagnosis of heart failure. cTn was measured using high-sensitive (hs)- cTnT (Roche), hs-cTnI (Abbott), and sensitive cTnI (Beckman) assays. The glomerular filtration rate was estimated (eGFR) using serum creatinine and cystatin C concentrations. Data on all-cause mortality were collected at 1-year follow-up. Participants and Setting Participants were 495 long-term nursing home residents, older than 65 years, of 5 Dutch nursing home organizations. Results Median (IQR) concentrations were 20.6 (17.8–30.6), 6.8 (4.1–12.5), and 4.0 (2.0–8.0) ng/L for hs-cTnT, hs-cTnI, and cTnI, respectively. In total, 79% had elevated hs-cTnT concentrations, whereas only 9% and 5% of hs-cTnI and cTnI concentrations were elevated. Most important and independent determinants for higher hs-cTnT and hs-cTnI concentrations were heart failure and renal dysfunction. Whereas both heart failure (odds ratio [OR] 3.4) and eGFR lower than 60 mL/min/1.73 m 2 (OR 3.6) were equal contributors to higher hs-cTnT concentrations (all P < .001), hs-cTnI and cTnI were less associated with renal dysfunction (OR of, respectively, 1.9 and 2.1; P < .01) in comparison with heart failure (OR 4.3 and 4.7, respectively, P < .001). Furthermore, residents with higher hs-cTnT or hs-cTnI concentrations (fourth quartile) had respectively 4 versus 2 times more risk of 1-year mortality compared with lower concentrations. Conclusion Regardless of their cardiac health, hs-cTnT but not hs-cTnI concentrations were elevated in almost all aged nursing home residents, questioning the use of the current diagnostic cutoff in elderly with high comorbidity. Nonetheless, measuring cardiac troponins, especially hs-cTnT, had a promising role in assessing future risk of mortality. [ABSTRACT FROM AUTHOR]

Objectives: The study aim was to determine the prognostic value of a multimarker strategy for risk-assessment in patients presenting to the emergency department (ED) with dyspnea. Background: Combining biomarkers with different pathophysiological backgrounds may improve risk stratification in dyspneic patients in the ED. Methods: The study prospectively investigated the prognostic value of the biomarkers N-terminal pro–B-type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-cTnT), Cystatin-C (Cys-C), high-sensitivity C-reactive protein (hs-CRP), and Galectin-3 (Gal-3) for 90-day mortality in 603 patients presenting to the ED with dyspnea as primary complaint. Results: hs-CRP, hs-cTnT, Cyst-C, and NT-proBNP were independent predictors of 90-day mortality. The number of elevated biomarkers was highly associated with outcome (odds ratio: 2.94 per biomarker, 95% confidence interval [CI]: 2.29 to 3.78, p < 0.001). A multimarker approach had incremental value beyond a single-marker approach. Our multimarker emergency dyspnea-risk score (MARKED-risk score) incorporating age ≥75 years, systolic blood pressure <110 mm Hg, history of heart failure, dyspnea New York Heart Association functional class IV, hs-cTnT ≥0.04 μg/l, hs-CRP ≥25 mg/l, and Cys-C ≥1.125 mg/l had excellent prognostic performance (area under the curve: 0.85, 95% CI: 0.81 to 0.89), was robust in internal validation analyses and could identify patients with very low (<3 points), intermediate (≥3, <5 points), and high risk (≥5 points) of 90-day mortality (2%, 14%, and 44% respectively; p < 0.001). Conclusions: A multimarker strategy provided superior risk stratification beyond any single-marker approach. The MARKED-risk score that incorporates hs-cTnT, hs-CRP, and Cys-C along with clinical risk factors accurately identifies patients with very low, intermediate, and high risk. [ABSTRACT FROM AUTHOR]