BIOlogy Study To TAilored Treatment In Chronic Heart Failure Research Articles

Multiomics Analysis Provides Novel Pathways Related to Progression of Heart Failure

BackgroundDespite major advances in pharmacological treatment for patients with heart failure, residual mortality remains high. This suggests that important pathways are not yet targeted by current heart failure therapies. ObjectivesWe sought integration of genetic, transcriptomic, and proteomic data in a large cohort of patients with heart failure to detect major pathways related to progression of heart failure leading to death. MethodsWe used machine learning methodology based on stacked generalization framework and gradient boosting algorithms, using 54 clinical phenotypes, 403 circulating plasma proteins, 36,046 transcript expression levels in whole blood, and 6 million genomic markers to model all-cause mortality in 2,516 patients with heart failure from the BIOSTAT-CHF (Systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure) study. Results were validated in an independent cohort of 1,738 patients. ResultsThe mean age of the patients was 70 years (Q1-Q3: 61-78 years), 27% were female, median N-terminal pro–B-type natriuretic peptide was 4,275 ng/L (Q1-Q3: 2,360-8,486 ng/L), and 7% had heart failure with preserved ejection fraction. During a median follow-up of 21 months, 657 (26%) of patients died. The 4 major pathways with a significant association to all-cause mortality were: 1) the PI3K/Akt pathway; 2) the MAPK pathway; 3) the Ras signaling pathway; and 4) epidermal growth factor receptor tyrosine kinase inhibitor resistance. Results were validated in an independent cohort of 1,738 patients. ConclusionsA systems biology approach integrating genomic, transcriptomic, and proteomic data identified 4 major pathways related to mortality. These pathways are related to decreased activation of the cardioprotective ERBB2 receptor, which can be modified by neuregulin.

Systemic oxidative stress associates with disease severity and outcome in patients with new-onset or worsening heart failure

BackgroundOxidative stress may be a key pathophysiological mediator in the development and progression of heart failure (HF). The role of serum-free thiol concentrations, as a marker of systemic oxidative stress, in HF remains largely unknown.ObjectiveThe purpose of this study was to investigate associations between serum-free thiol concentrations and disease severity and clinical outcome in patients with new-onset or worsening HF.MethodsSerum-free thiol concentrations were determined by colorimetric detection in 3802 patients from the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF). Associations between free thiol concentrations and clinical characteristics and outcomes, including all-cause mortality, cardiovascular mortality, and a composite of HF hospitalization and all-cause mortality during a 2-years follow-up, were reported.ResultsLower serum-free thiol concentrations were associated with more advanced HF, as indicated by worse NYHA class, higher plasma NT-proBNP (P < 0.001 for both) and with higher rates of all-cause mortality (hazard ratio (HR) per standard deviation (SD) decrease in free thiols: 1.253, 95% confidence interval (CI): 1.171–1.341, P < 0.001), cardiovascular mortality (HR per SD: 1.182, 95% CI: 1.086–1.288, P < 0.001), and the composite outcome (HR per SD: 1.058, 95% CI: 1.001–1.118, P = 0.046).ConclusionsIn patients with new-onset or worsening HF, a lower serum-free thiol concentration, indicative of higher oxidative stress, is associated with increased HF severity and poorer prognosis. Our results do not prove causality, but our findings may be used as rationale for future (mechanistic) studies on serum-free thiol modulation in heart failure.Graphical abstractAssociations of serum-free thiol concentrations with heart failure severity and outcomes

Clinical implications of low estimated protein intake in patients with heart failure.

BackgroundA higher protein intake has been associated with a higher muscle mass and lower mortality rates in the general population, but data about protein intake and survival in patients with heart failure (HF) are lacking.MethodsWe studied the prevalence, predictors, and clinical outcome of estimated protein intake in 2516 patients from the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT‐CHF) index cohort. Protein intake was calculated in spot urine samples using a validated formula [13.9 + 0.907 * body mass index (BMI) (kg/m2) + 0.0305 * urinary urea nitrogen level (mg/dL)]. Association with mortality was assessed using multivariable Cox regression models. All findings were validated in an independent cohort.ResultsWe included 2282 HF patients (mean age 68 ± 12 years and 27% female). Lower estimated protein intake in HF patients was associated with a lower BMI, but with more signs of congestion. Mortality rate in the lowest quartile was 32%, compared with 18% in the highest quartile (P < 0.001). In a multivariable model, lower estimated protein intake was associated with a higher risk of death compared with the highest quartile [hazard ratio (HR) 1.50; 95% confidence interval (CI) 1.03–2.18, P = 0.036 for the lowest quartile and HR 1.46; 95% CI 1.00–2.18, P = 0.049 for the second quartile].ConclusionsAn estimated lower protein intake was associated with a lower BMI, but signs of congestion were more prevalent. A lower estimated protein intake was independently associated with a higher mortality risk.

Clinical impact of changes in mitral regurgitation severity after medical therapy optimization in heart failure

BackgroundFew data are available regarding changes in mitral regurgitation (MR) severity with guideline-recommended medical therapy (GRMT) in heart failure (HF). Our aim was to evaluate the evolution and impact of MR after GRMT in the Biology study to Tailored treatment in chronic heart failure (BIOSTAT-CHF).MethodsA retrospective post-hoc analysis was performed on HF patients from BIOSTAT-CHF with available data on MR status at baseline and at 9-month follow-up after GRMT optimization. The primary endpoint was a composite of all-cause death or HF hospitalization.ResultsAmong 1022 patients with data at both time-points, 462 (45.2%) had moderate-severe MR at baseline and 360 (35.2%) had it at 9-month follow-up. Regression of moderate-severe MR from baseline to 9 months occurred in 192/462 patients (41.6%) and worsening from baseline to moderate-severe MR at 9 months occurred in 90/560 patients (16.1%). The presence of moderate-severe MR at 9 months, independent from baseline severity, was associated with an increased risk of the primary endpoint (unadjusted hazard ratio [HR], 2.03; 95% confidence interval [CI], 1.57–2.63; p < 0.001), also after adjusting for the BIOSTAT-CHF risk-prediction model (adjusted HR, 1.85; 95% CI 1.43–2.39; p < 0.001). Younger age, LVEF ≥ 50% and treatment with higher ACEi/ARB doses were associated with a lower likelihood of persistence of moderate-severe MR at 9 months, whereas older age was the only predictor of worsening MR.ConclusionsAmong patients with HF undergoing GRMT optimization, ACEi/ARB up-titration and HFpEF were associated with MR improvement, and the presence of moderate-severe MR after GRMT was associated with worse outcome.Graphical abstract

Surrogate markers of gut dysfunction are related to heart failure severity and outcome–from the BIOSTAT-CHF consortium

The contribution of gut dysfunction to heart failure (HF) pathophysiology is not routinely assessed. We sought to investigate whether biomarkers of gut dysfunction would be useful in assessment of HF (eg, severity, adverse outcomes) and risk stratification. A panel of gut-related biomarkers including metabolites of the choline/carnitine- pathway (acetyl-L-carnitine, betaine, choline, γ-butyrobetaine, L-carnitine and trimethylamine-N-oxide [TMAO]) and the gut peptide, Trefoil factor-3 (TFF-3), were investigated in 1,783 patients with worsening HF enrolled in the systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF) cohort and associations with HF severity and outcomes, and use in risk stratification were assessed. Metabolites of the carnitine-TMAO pathway (acetyl-L-carnitine, γ-butyrobetaine, L-carnitine, and TMAO) and TFF-3 were associated with the composite outcome of HF hospitalization or all-cause mortality at 3 years (hazards ratio [HR] 2.04-2.93 [95% confidence interval {CI} 1.30-4.71] P≤ .002). Combining the carnitine-TMAO metabolites with TFF-3, as a gut dysfunction panel, showed a graded association; a greater number of elevated markers was associated with higher New York Heart Association class (P< .001), higher plasma concentrations of B-type natriuretic peptide (P< .001), and worse outcome (HR 1.90-4.58 [95% CI 1.19-6.74] P≤ 0.008). Addition of gut dysfunction biomarkers to the contemporary BIOSTAT HF risk model also improved prediction for the aforementioned composite outcome (C-statistics P≤ .011, NRI 13.5-21.1 [95% CI 2.7-31.9] P≤ .014). A panel of biomarkers of gut dysfunction showed graded association with severity of HF and adverse outcomes. Biomarkers as surrogate markers are potentially useful for assessment of gut dysfunction to HF pathophysiology and in risk stratification.

128 Clinical impact of changes in mitral regurgitation severity after optimization of medical therapy in heart failure: insights from BIOSTAT-CHF

Abstract Aims Few data are available regarding changes in mitral regurgitation (MR) severity with guideline-directed medical therapy (GDMT) in heart failure (HF). We evaluated the evolution and impact of MR after GDMT in the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF). Methods and results A retrospective post hoc analysis was performed on HF patients from BIOSTAT-CHF with available data on MR status at baseline and at 9-month follow-up after GRMT optimization. The primary endpoint was a composite of all-cause death or HF hospitalization. Among 1022 patients with data at both time-points, 462 (45.2%) had moderate-severe MR at baseline and 360 (35.2%) had it at 9-month follow-up. Regression of moderate–severe MR from baseline to 9 months occurred in 192/462 patients (41.6%) and worsening from baseline to moderate–severe MR at 9 months occurred in 90/560 patients (16.1%). The presence of moderate-severe MR at 9 months, independent from baseline severity, was associated with an increased risk of the primary endpoint [unadjusted hazard ratio (HR), 2.03; 95% confidence interval (CI): 1.57–2.63; P &amp;lt; 0.001], also after adjusting for the BIOSTAT-CHF risk-prediction model (adjusted HR: 1.85; 95% CI: 1.43–2.39; P &amp;lt; 0.001). Younger age, LVEF ≥50% and treatment with higher ACEi/ARB doses were associated with a lower likelihood of moderate–severe MR at 9 months, whereas older age was the only predictor of worsening MR. Conclusions Among patients with HF undergoing GDMT optimization, ACEi/ARB up-titration and HFpEF were associated with MR improvement, and the presence of moderate–severe MR after GRMT was associated with worse outcome.

127 SARS-CoV-2 pandemic: post-lockdown subclinic cardiovascular events detected by 12-leads electrocardiogram at Emergency Department

AimsFew data are available regarding changes in mitral regurgitation (MR) severity with guideline-directed medical therapy (GDMT) in heart failure (HF). We evaluated the evolution and impact of MR after GDMT in the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF).Methods and resultsA retrospective post hoc analysis was performed on HF patients from BIOSTAT-CHF with available data on MR status at baseline and at 9-month follow-up after GRMT optimization. The primary endpoint was a composite of all-cause death or HF hospitalization. Among 1022 patients with data at both time-points, 462 (45.2%) had moderate-severe MR at baseline and 360 (35.2%) had it at 9-month follow-up. Regression of moderate–severe MR from baseline to 9 months occurred in 192/462 patients (41.6%) and worsening from baseline to moderate–severe MR at 9 months occurred in 90/560 patients (16.1%). The presence of moderate–severe MR at 9 months, independent from baseline severity, was associated with an increased risk of the primary endpoint [unadjusted hazard ratio (HR), 2.03; 95% confidence interval (CI), 1.57–2.63; P < 0.001], also after adjusting for the BIOSTAT-CHF risk-prediction model (adjusted HR, 1.85; 95% CI, 1.43–2.39; P < 0.001). Younger age, LVEF ≥50% and treatment with higher ACEi/ARB doses were associated with a lower likelihood of moderate–severe MR at 9 months, whereas older age was the only predictor of worsening MR.ConclusionsAmong patients with HF undergoing GDMT optimization, ACEi/ARB up-titration and HFpEF were associated with MR improvement, and the presence of moderate–severe MR after GRMT was associated with worse outcome.127 Figure 1

Impact of mitral regurgitation in patients with worsening heart failure: insights from BIOSTAT-CHF.

AimsFew data regarding the prevalence and prognostic impact of mitral regurgitation (MR) in patients with worsening chronic or new‐onset acute heart failure (HF) are available. We investigated the role of MR in the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT‐CHF).Methods and resultsWe performed a retrospective post‐hoc analysis including patients from both the index and validation BIOSTAT‐CHF cohorts with data regarding MR status. The primary endpoint was a composite of all‐cause death or HF hospitalization. Among 4023 patients included, 1653 patients (41.1%) had moderate–severe MR. Compared to others, patients with moderate–severe MR were more likely to have atrial fibrillation and chronic kidney disease and had larger left ventricular (LV) dimensions, lower LV ejection fraction (LVEF), worse quality of life, and higher plasma concentrations of N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP). A primary outcome event occurred in 697 patients with, compared to 836 patients without, moderate–severe MR [Kaplan–Meier 2‐year estimate: 42.2% vs. 35.3%; hazard ratio (HR) 1.28; 95% confidence interval (CI) 1.16–1.41; log‐rank P < 0.0001]. The association between MR and the primary endpoint remained significant after adjusting for baseline variables and the previously validated BIOSTAT‐CHF risk score (adjusted HR 1.11; 95% CI 1.00–1.23; P = 0.041). Subgroup analyses showed a numerically larger impact of MR on the primary endpoint in patients with lower LVEF, larger LV end‐diastolic diameter, and higher plasma NT‐proBNP.ConclusionsModerate–severe MR is common in patients with worsening chronic or new‐onset acute HF and is strongly associated with outcome, independently of other features related to HF severity.

Neutrophil-to-lymphocyte ratio and outcomes in patients with new-onset or worsening heart failure with reduced and preserved ejection fraction.

AimsInflammation is thought to play a role in heart failure (HF) pathophysiology. Neutrophil‐to‐lymphocyte ratio (NLR) is a simple, routinely available measure of inflammation. Its relationship with other inflammatory biomarkers and its association with clinical outcomes in addition to other risk markers have not been comprehensively evaluated in HF patients.MethodsWe evaluated patients with worsening or new‐onset HF from the BIOlogy Study to Tailored Treatment in Chronic Heart Failure (BIOSTAT‐CHF) study who had available NLR at baseline. The primary outcome was time to all‐cause mortality or HF hospitalization. Outcomes were validated in a separate HF population.Results1622 patients were evaluated (including 523 ventricular ejection fraction [LVEF] < 40% and 662 LVEF ≥ 40%). NLR was significantly correlated with biomarkers related to inflammation as well as NT‐proBNP. NLR was significantly associated with the primary outcome in patients irrespective of LVEF (hazard ratio [HR] 1.18 per standard deviation increase; 95% confidence interval [CI] 1.11–1.26, P < 0.001). Patients with NLR in the highest tertile had significantly worse outcome than those in the lowest independent of LVEF (<40%: HR 2.75; 95% CI 1.84–4.09, P < 0.001; LVEF ≥ 40%: HR 1.51; 95% CI 1.05–2.16, P = 0.026). When NLR was added to the BIOSTAT‐CHF risk score, there were improvements in integrated discrimination index (IDI) and net reclassification index (NRI) for occurrence of the primary outcome (IDI + 0.009; 95% CI 0.00–0.019, P = 0.030; continuous NRI + 0.112, 95% CI 0.012–0.176, P = 0.040). Elevated NLR was similarly associated with adverse outcome in the validation cohort. Decrease in NLR at 6 months was associated with reduced incidence of the primary outcome (HR 0.75; 95% CI 0.57–0.98, P = 0.036).ConclusionsElevated NLR is significantly associated with elevated markers of inflammation in HF patients and is associated with worse outcome. Elevated NLR might potentially be useful in identifying high‐risk HF patients and may represent a treatment target.

Perceived risk profile and treatment optimization in heart failure: an analysis from BIOlogy Study to TAilored Treatment in chronic heart failure.

BackgroundAchieving target doses of angiotensin‐converting‐enzyme inhibitor/angiotensin‐receptor blockers (ACEi/ARB) and beta‐blockers in heart failure with reduced ejection fraction (HFrEF) is often underperformed. In BIOlogy Study to TAilored Treatment in chronic heart failure (BIOSTAT‐CHF) study, many patients were not up‐titrated for which no clear reason was reported. Therefore, we hypothesized that perceived‐risk profile might influence treatment optimization.MethodsWe studied 2100 patients with HFrEF (LVEF≤40%) to compare the clinical characteristics and adverse events associated with treatment up‐titration (after a 3‐month titration protocol) between; a) patients not reaching target doses for unclear reason; b) patients not reaching target doses due to symptoms and/or side effects; c) patients reaching target doses.ResultsFor ACEi/ARB, (a), (b) and (c) was observed in 51.3%, 25.9% and 22.7% of patients, respectively. For beta‐blockers, (a), (b) and (c) was observed in 67.5%, 20.2% and 12.3% of patients, respectively. By multinomial logistic regression analysis for ACEi/ARB, patients in group (a) and (b) had lower blood pressure and poorer renal function, and patients in group (a) were older and had lower ejection fraction. For beta‐blockers, patients in group (a) and (b) had more severe congestion and lower heart rate. At 9 months, adverse events (i.e., hypotension, bradycardia, renal impairment, and hyperkalemia) occurred similarly among the three groups.ConclusionsPatients in whom clinicians did not give a reason why up‐titration was missed were older and had more co‐morbidities. Patients in whom up‐titration was achieved did not have excess adverse events. However, from these observational findings, the pattern of subsequent adverse events among patients in whom up‐titration was missed cannot be determined.

Quality of life in men and women with heart failure: association with outcome, and comparison between the Kansas City Cardiomyopathy Questionnaire and the EuroQol 5 dimensions questionnaire.

AimsWe sought to analyse quality of life (QoL) measures derived from two questionnaires widely used in clinical trials, the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the EuroQoL 5 dimensions (EQ‐5D), and to compare their prognostic value in men and women with heart failure and reduced ejection fraction (HFrEF).Methods and resultsFrom the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT‐CHF) we compared KCCQ and EQ‐5D at baseline and after 9 months in 1276 men and 373 women with new‐onset or worsening symptoms of HFrEF, who were sub‐optimally treated and in whom there was an anticipated up‐titration of guideline‐derived medical therapies. Women had significantly worse baseline QoL (median) as compared with men, both when assessed with KCCQ overall score (KCCQ‐OS, 44 vs. 53, P < 0.001) and EQ‐5D utility score (0.62 vs. 0.73, P < 0.001). QoL improved equally in women and men at follow‐up. All summary measures of QoL were independently associated with all‐cause mortality, with KCCQ‐OS showing the most remarkable association with mortality up to 1 year compared to the EQ‐5D scores (C‐statistic 0.650 for KCCQ‐OS vs. 0.633 and 0.599 for EQ‐5D utility score and EQ‐5D visual analogue scale, respectively). QoL was associated with all outcomes analysed, both in men and women (all P for interaction with sex >0.2).ConclusionAmongst patients with HFrEF, women reported significantly worse QoL than men. QoL was independently associated with subsequent outcome, similarly in men and women. The KCCQ in general, and the KCCQ‐OS in particular, showed the strongest independent association with outcome.

Clinical determinants and prognostic implications of renin and aldosterone in patients with symptomatic heart failure.

AimsActivation of the renin–angiotensin–aldosterone system plays an important role in the pathophysiology of heart failure (HF) and has been associated with poor prognosis. There are limited data on the associations of renin and aldosterone levels with clinical profiles, treatment response, and study outcomes in patients with HF.Methods and resultsWe analysed 2,039 patients with available baseline renin and aldosterone levels in BIOSTAT‐CHF (a systems BIOlogy study to Tailored Treatment in Chronic Heart Failure). The primary outcome was the composite of all‐cause mortality or HF hospitalization. We also investigated changes in renin and aldosterone levels after administration of mineralocorticoid receptor antagonists (MRAs) in a subset of the EPHESUS trial and in an acute HF cohort (PORTO). In BIOSTAT‐CHF study, median renin and aldosterone levels were 85.3 (percentile25–75 = 28–247) μIU/mL and 9.4 (percentile25–75 = 4.4–19.8) ng/dL, respectively. Prior HF admission, lower blood pressure, sodium, poorer renal function, and MRA treatment were associated with higher renin and aldosterone. Higher renin was associated with an increased rate of the primary outcome [highest vs. lowest renin tertile: adjusted‐HR (95% CI) = 1.47 (1.16–1.86), P = 0.002], whereas higher aldosterone was not [highest vs. lowest aldosterone tertile: adjusted‐HR (95% CI) = 1.16 (0.93–1.44), P = 0.19]. Renin and/or aldosterone did not improve the BIOSTAT‐CHF prognostic models. The rise in aldosterone with the use of MRAs was observed in EPHESUS and PORTO studies.ConclusionsCirculating levels of renin and aldosterone were associated with both the disease severity and use of MRAs. By reflecting both the disease and its treatments, the prognostic discrimination of these biomarkers was poor. Our data suggest that the “point” measurement of renin and aldosterone in HF is of limited clinical utility.

Genetic risk and atrial fibrillation in patients with heart failure.

AimsTo study the association between an atrial fibrillation (AF) genetic risk score with prevalent AF and all‐cause mortality in patients with heart failure.Methods and resultsAn AF genetic risk score was calculated in 3759 European ancestry individuals (1783 with sinus rhythm, 1976 with AF) from the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT‐CHF) by summing 97 single nucleotide polymorphism (SNP) alleles (ranging from 0–2) weighted by the natural logarithm of the relative SNP risk from the latest AF genome‐wide association study. Further, we assessed AF risk variance explained by additive SNP variation, and performance of clinical or genetic risk factors, and the combination in classifying AF prevalence. AF was classified as AF or atrial flutter (AFL) at baseline electrocardiogram and/or a history of AF or AFL. The genetic risk score was associated with AF after multivariable adjustment. Odds ratio for AF prevalence per 1‐unit increase genetic risk score was 2.12 (95% confidence interval 1.84–2.45, P = 2.15 × 10−24) in the total cohort, 2.08 (1.72–2.50, P = 1.30 × 10−14) in heart failure with reduced ejection fraction (HFrEF) and 2.02 (1.37–2.99, P = 4.37 × 10−4) in heart failure with preserved ejection fraction (HFpEF). AF‐associated loci explained 22.9% of overall AF SNP heritability. Addition of the genetic risk score to clinical risk factors increased the C‐index by 2.2% to 0.721.ConclusionsThe AF genetic risk score was associated with increased AF prevalence in HFrEF and HFpEF. Genetic variation accounted for 22.9% of overall AF SNP heritability. Addition of genetic risk to clinical risk improved model performance in classifying AF prevalence.

January 2020 at a glance: translational medicine, predictors of outcome and treatments.

Right ventricular dysfunction is a major determinant of the poor prognosis of heart failure (HF) patients.1 Lim and Gustafsson2 summarized physiological interpretation and evidence on pulmonary artery pulsatility index, a parameter assessing right heart function, in patients with advanced HF or cardiogenic shock. Target therapy for transthyretin amyloidosis is one of the main recent achievements in HF treatment.3 Müller et al.4 reviewed evidence about new specific drugs targeting transthyretin amyloidosis and potential future implications. Berulava et al.5 found that about one quarter of the transcripts of healthy mouse and human heart exhibit m6-adenosine methylation (m6A) of RNA. Changes in m6A RNA methylation were related with progression to HF with hypermethylated transcripts mainly linked to processes that control the response to muscle stretch, growth factors and heart morphogenesis. Mice with a cardiomyocyte restricted knockout of the RNA demethylase exhibited impaired cardiac function compared to control mice. Thus, m6A RNA methylation is a new transcription-independent mechanism of translation, is related to HF progression and may be a therapeutic target. Cao et al.6 compared the plasma proteome of HF patients with or without clinical events. They found changes in the proteins related to the glutathione, arginine and proline, and pyruvate metabolism in the patients who died or were rehospitalized, compared with those with a stable clinical course. Ferreira et al.7 used biomarker analysis to compare mechanisms related to cardiovascular (CV) and non-CV death in 2309 patients with HF from the BIOSTAT-CHF (a systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure) study. Troponin predicted CV death, while N-terminal pro-B-type natriuretic peptide levels were associated with both CV and non-CV death. Ageing is an established major determinant of adequacy and adherence to treatment and of survival in patients with HF.8-11 Lainščak et al.12 evaluated age- and sex-related differences in HF management, mortality and hospitalization in the patients enrolled in the ESC HFA EORP HF Long-Term registry. Age >75 years was associated with underutilization of optimal medical therapy and with increased mortality. Different from another recent analysis, showing better survival in women with dilated cardiomyopathy,13 sex was not an independent predictor of increased mortality. Beta-blockers are underused in elderly subjects.8 Stolfo et al.14 investigated the association between beta-blocker use and clinical events in 6562 elderly patients (≥80 years) with HF and reduced ejection fraction in the Swedish HF Registry. Beta-blocker use was associated with a reduced risk of all-cause mortality [hazard ratio (HR) 0.89, 95% confidence interval (CI) 0.79–0.99] and of CV events also in these patients. Type 2 diabetes, or obesity, atrial fibrillation (AF) and HF with preserved ejection fraction (HFpEF) often coexist.15 Studying a cohort of patients with AF, Polovina et al.16 showed that patients with type 2 diabetes had a 85% greater risk of HF events (adjusted HR 1.85, 95% CI 1.51–2.28), including a 45% increased risk for new-onset HF (adjusted HR 1.45, 95% CI 1.17–2.28) and greater risk of all-cause and CV mortality. Among new-onset HF phenotypes, 67% had HFpEF with an adjusted HR of 2.38 (95% CI 1.30–4.58) in patients with diabetes. Consistently, an analysis of patients with AF enrolled in EMPA-REG-OUTCOME showed an increased risk of events in those with AF at baseline. Empagliflozin, compared to placebo, reduced CV death or HF hospitalization consistently also in patients with AF (HR 0.58, 95% CI 0.36–0.92) with similar results for the components of this endpoint, all-cause mortality, new or worsening nephropathy, first introduction of loop diuretics, or occurrence of oedema.17 Machine learning may be used to identify patients responding to HF therapies such as cardiac resynchronization.18 Adler et al.19 used a machine-learning algorithm based on eight easy variables to predict mortality in HF patients. Also Segar et al.20 used machine-learning analysis to identify three phenotypes of HFpEF with different clinical characteristics and outcomes. Both algorithms were externally validated.

Cardiovascular and non-cardiovascular death distinction: the utility of troponin beyond N-terminal pro-B-type natriuretic peptide. Findings from the BIOSTAT-CHF study.

Heart failure (HF) patients are at high-risk of cardiovascular (CV) events, including CV death. Nonetheless, a substantial proportion of these patients die from non-CV causes. Identifying patients at higher risk for each individual event may help selecting patients for clinical trials and tailoring cardiovascular therapies. The aims of the present study are to: (i) characterize patients according to CV vs. non-CV death; (ii) develop models for the prediction of the respective events; (iii) assess the models' performance to differentiate CV from non-CV death. This study included 2309 patients with HF from the BIOSTAT-CHF (a systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure) study. Competing-risk models were used to assess the best combination of variables associated with each cause-specific death. Results were validated in an independent cohort of 1738 HF patients. The best model to predict CV death included low blood pressure, estimated glomerular filtration rate ≤ 60 mL/min, peripheral oedema, previous HF hospitalization, ischaemic HF, chronic obstructive pulmonary disease, elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP), and troponin (c-index=0.73). The non-CV death model incorporated age > 75 years, anaemia and elevated NT-proBNP (c-index=0.71). Both CV and non-CV death rose by quintiles of the risk scores; yet these models allowed the identification of patients in whom absolute CV death rates clearly outweigh non-CV death ones. These findings were externally replicated, but performed worse in a less severely diseased population. Risk models for predicting CV and non-CV death allowed the identification of patients at higher absolute risk of dying from CV causes (vs. non-CV ones). Troponin helped in predicting CV death only, whereas NT-proBNP helped in the prediction of both CV and non-CV death. These findings can be useful both for tailoring therapies and for patient selection in HF trials in order to attain CV event enrichment.

February 2019 at a glance: pathophysiology, exercise capacity, diuretics and valve disease.

February 2019 at a glance: pathophysiology, exercise capacity, diuretics and valve disease.

Association with outcomes and response to treatment of trimethylamine N-oxide in heart failure: results from BIOSTAT-CHF.

Association of elevated circulating levels of trimethylamine N-oxide (TMAO) with adverse outcomes in patients with heart failure (HF) has been described. However, response of TMAO levels to treatment and medications has not been investigated. Therefore, we investigated whether TMAO levels are responsive to guideline-recommended treatment and medications, and further reflect changes in outcomes. TMAO levels were investigated in the systems BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF), which addressed response to guideline-recommended pharmacological treatment. TMAO levels in 2234 patients with new-onset or progressively worsening HF showed strong associations with adverse events (mortality and/or rehospitalisation) at 1, 2 and 3 years [hazard ratio (HR) 1.37-1.51, P ≤ 0.019). Analysis of 972 patients with plasma available at both enrolment and follow-up visit showed reductions of B-type natriuretic peptide (BNP) levels with guideline-based treatment (P < 0.001), but not for TMAO levels. Moreover, patients with higher TMAO levels than median before and after treatment showed increased association with adverse outcomes [HR 2.21, 95% confidence interval (CI) 1.43-3.43, P < 0.001] compared to patients with lower than median levels either before or after treatment (HR 1.13, 95% CI 0.63-2.04, P = 0.684 and HR 1.14, 95% CI 0.64-2.03, P = 0.662, respectively). TMAO levels were associated with adverse outcomes (mortality and/or rehospitalisation) in BIOSTAT-CHF, and did not respond to guideline-based pharmacological treatment in contrast to BNP levels which did as expected. Lower TMAO levels were associated with favourable outcome regardless of treatment.

Heart failure in the outpatient versus inpatient setting: findings from the BIOSTAT-CHF study.

Patients with symptomatic heart failure (HF) require additive therapies and have a poor prognosis. However, patient characteristics and clinical outcome between HF patients treated in the outpatient setting vs. those who are hospitalized remain scarce. The BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF) included 2516 patients with symptoms and/or signs of HF: 1694 as inpatients and 822 as outpatients. Compared to ambulatory HF patients, inpatients had higher heart rate, urea, N-terminal pro-brain natriuretic peptide, lower blood pressure, lower estimated glomerular filtration rate, sodium, potassium, high-density lipoprotein cholesterol, had more often peripheral oedema, diabetes, anaemia, and were less often treated with beta-blockers and angiotensin-converting enzyme inhibitors (ACEi). Outpatients had a more frequent history of HF hospitalization and received more frequently beta-blockers and/or ACEi/angiotensin receptor blockers up-titrated to target doses (P < 0.001). Inpatients had higher rates of the primary outcome of death or HF hospitalization: incidence rate per 100 person-years of 33.4 [95% confidence interval (CI) 31.1-35.9] for inpatients vs. 18.5 (95% CI 16.4-21.0) for outpatients; adjusted hazard ratio 1.24 (95% CI 1.07-1.43). Subdividing patients into low, intermediate and high-risk categories, the primary outcome event rates were 14.3 (95% CI 12.3-16.7), 36.6 (95% CI 32.2-41.5), and 71.3 (95% CI 64.4-79.0) for inpatients vs. 8.4 (95% CI 6.6-10.6), 29.8 (95% CI 24.5-36.2), and 43.3 (95% CI 34.7-54.0) for outpatients, respectively. These findings were externally replicated. Marked differences were observed between inpatients and outpatients with HF. Overall, inpatients were sicker and had higher event rates. However, a substantial proportion of outpatients had similar or higher event rates compared to inpatients. These findings suggest that HF outpatients also have poor prognosis and may be the focus of future trials.

Comparing biomarker profiles of patients with heart failure: atrial fibrillation vs. sinus rhythm and reduced vs. preserved ejection fraction.

The clinical correlates and consequences of atrial fibrillation (AF) might be different between heart failure with reduced vs. preserved ejection fraction (HFrEF vs. HFpEF). Biomarkers may provide insights into underlying pathophysiological mechanisms of AF in these different heart failure (HF) phenotypes. We performed a retrospective analysis of the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF), which was an observational cohort. We studied 2152 patients with HFrEF [ejection fraction (EF < 40%)], of which 1419 were in sinus rhythm (SR) and 733 had AF. Another 524 patients with HFpEF (EF ≥50%) were studied, of which 286 in SR and 238 with AF. For the comparison of biomarker profiles, 92 cardiovascular risk markers were measured (Proseek® Olink Cardiovascular III panel). The circulating risk marker pattern observed in HFrEF was different than the pattern in HFpEF: in HFrEF, AF was associated with higher levels of 77 of 92 (84%) risk markers compared to SR; whereas in HFpEF, many more markers were higher in SR than in AF. Over a median follow-up of 21 months, AF was associated with increased mortality risk [multivariable hazard ratio (HR) of 1.27; 95% confidence interval (CI) 1.09-1.48, P = 0.002]; there was no significant interaction between heart rhythm and EF group on outcome. In patients with HFrEF, the presence of AF was associated with a homogeneously elevated cardiovascular risk marker profile. In contrast, in patients with HFpEF, the presence of AF was associated with a more scattered risk marker profile, suggesting differences in underlying pathophysiological mechanisms of AF in these HF phenotypes.

Non-cardiac comorbidities in heart failure with reduced, mid-range and preserved ejection fraction

BackgroundComorbidities play a major role in heart failure. Whether prevalence and prognostic importance of comorbidities differ between heart failure with preserved ejection fraction (HFpEF), mid-range (HFmrEF) or reduced ejection fraction (HFrEF) is unknown. MethodsPatients from index (n = 2516) and validation cohort (n = 1738) of The BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF) were pooled. Eight non-cardiac comorbidities were assessed; diabetes mellitus, thyroid dysfunction, obesity, anaemia, chronic kidney disease (CKD, estimated glomerular filtration rate < 60 mL/min/1.73 m2), COPD, stroke and peripheral arterial disease. Patients were classified based on ejection fraction. The association of each comorbidity with quality of life (QoL), all-cause mortality and hospitalisation was evaluated. ResultsPatients with complete comorbidity data were included (n = 3499). Most prevalent comorbidity was CKD (50%). All comorbidities showed the highest prevalence in HFpEF, except for stroke. Prevalences of HFmrEF were in between the other entities. COPD was the comorbidity associated with the greatest reduction in QoL. In HFrEF, almost all were associated with a significant reduction in QoL, while in HFpEF only CKD and obesity were associated with a reduction. Most comorbidities in HFrEF were associated with an increased mortality risk, while in HFpEF only CKD, anaemia and COPD were associated with higher mortality risks. ConclusionsThe highest prevalence of comorbidities was seen in patients with HFpEF. Overall, comorbidities were associated with a lower QoL, but this was more pronounced in patients with HFrEF. Most comorbidities were associated with higher mortality risks, although the associations with diabetes were only present in patients with HFrEF.