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Aims: Patients with HFrEF and worsening HF events (WHFE) are at particularly high risk and urgently need disease‐modifying therapy. CHART‐HF assessed treatment patterns and reasons for medication decisions among HFrEF patients with and without WHFE. Methods and results: CHART‐HF collected retrospective electronic medical records of outpatients with HF and EF < 45% between 2017–2019 from a nationwide panel of 238 cardiologists (458 patients) and the Geisinger Health System (GHS) medical record (1000 patients). The index visit in the WHFE cohort was the first outpatient cardiologist visit ≤6 months following the WHFE, and in the reference cohort was the last visit in a calendar year without WHFE. Demographic characteristics were similar between patients with and without WHFE in both the nationwide panel and GHS. In the nationwide panel, the proportion of patients with versus without WHFE receiving ≥50% of guideline‐recommended dose on index visit was 35% versus 40% for beta blocker, 74% versus 83% for ACEI/ARB/ARNI, and 48% versus 49% for MRA. The proportion of patients receiving ≥50% of guideline‐recommended dose was lower in the GHS: 29% versus 34% for beta‐blocker, 16% versus 31% for ACEI/ARB/ARNI, and 18% versus 22% for MRA. For patients with and without WHFE, triple therapy on index date was 42% and 44% of patients from the nationwide panel, and 14% and 17% in the GHS. Comparing end of index clinic visit with 12‐month follow‐up in the GHS, the proportion of patients on no GDMT increased from 14% to 28% in the WHFE cohort and from 14 to 21% in the non‐WHFE group. Conclusions: Major gaps in use of GDMT, particularly combination therapy, remain among US HFrEF patients. These gaps persist during longitudinal follow‐up and are particularly large among patients with recent WHFE. [ABSTRACT FROM AUTHOR]

Heart failure (HF) represents a significant global health challenge, characterized by high morbidity and mortality rates, and imposes considerable burdens on healthcare systems and patient quality of life. Traditional management strategies, primarily relying on clinical assessments and standard biomarkers like natriuretic peptides, face limitations due to the heterogeneity of HF. This review aims to delve into the evolving landscape of non-natriuretic biomarkers and the transformative potential of omics technologies, underscoring their roles in advancing HF treatment towards precision medicine. By offering novel insights into the biological underpinnings of HF, including inflammation, myocardial stress, fibrosis, and metabolic disturbances, these advancements facilitate more accurate patient phenotyping and individualized treatment strategies. The integration of non-natriuretic biomarkers and omics technologies heralds a pivotal shift in HF management, enabling a move towards tailored therapeutic interventions. This approach promises to enhance clinical outcomes by improving diagnostic accuracy, risk stratification, and monitoring therapeutic responses. However, challenges such as the variability in biomarker levels, cost-effectiveness, and the standardization of biomarker testing across different healthcare settings pose hurdles to their widespread adoption. Despite these challenges, the promise of precision medicine in HF, driven by these innovative biomarkers and technologies, offers a new horizon for improving patient care and outcomes. This review advocates for the further integration of these advancements into clinical practice, highlighting the need for ongoing research to fully realize their potential in transforming the landscape of heart failure management. [ABSTRACT FROM AUTHOR]

Cardiac diseases form the lion's share of the global disease burden, owing to the paradigm shift to non-infectious diseases from infectious ones. The prevalence of CVDs has nearly doubled, increasing from 271 million in 1990 to 523 million in 2019. Additionally, the global trend for the years lived with disability has doubled, increasing from 17.7 million to 34.4 million over the same period. The advent of precision medicine in cardiology has ignited new possibilities for individually personalized, integrative, and patient-centric approaches to disease prevention and treatment, incorporating the standard clinical data with advanced "omics". These data help with the phenotypically adjudicated individualization of treatment. The major objective of this review was to compile the evolving clinically relevant tools of precision medicine that can help with the evidence-based precise individualized management of cardiac diseases with the highest DALY. The field of cardiology is evolving to provide targeted therapy, which is crafted as per the "omics", involving genomics, transcriptomics, epigenomics, proteomics, metabolomics, and microbiomics, for deep phenotyping. Research for individualizing therapy in heart diseases with the highest DALY has helped identify novel genes, biomarkers, proteins, and technologies to aid early diagnosis and treatment. Precision medicine has helped in targeted management, allowing early diagnosis, timely precise intervention, and exposure to minimal side effects. Despite these great impacts, overcoming the barriers to implementing precision medicine requires addressing the economic, cultural, technical, and socio-political issues. Precision medicine is proposed to be the future of cardiovascular medicine and holds the potential for a more efficient and personalized approach to the management of cardiovascular diseases, contrary to the standardized blanket approach. [ABSTRACT FROM AUTHOR]

Aim: We sought to investigate the association of inflammatory biomarkers with incident heart failure (HF) events in patients at different stages of HF. Methods and results: Overall, 1231 study participants undergoing diagnostic coronary and/or peripheral angiography were categorized by Universal Definition of HF (UDHF) stage A (at risk), stage B (pre‐HF), and stages C or D (HF, including end‐stage). Twenty‐four inflammatory biomarkers were collected prior to angiography and unsupervised machine learning categorized levels of inflammation into three groups (low, medium, and high). Cox proportional hazard regression was implemented to assess the associations of inflammation level with incident HF hospitalization in each UDHF stage. Using machine learning, study participants were grouped into low (n = 443), medium (n = 570) and high inflammation categories (n = 230). Significantly higher concentrations of natriuretic peptide, troponin, and soluble ST2 were observed among those with high inflammation levels (p < 0.001). During 3.7 years of follow‐up, 123 (15.1%) HF hospitalizations occurred in stage A/B and 180 (41.8%) HF hospitalizations occurred in stage C/D. In multivariable model considering low inflammation level as a reference, among patients with stage A/B, the hazard ratio (HR) (95% confidence interval [CI]) of incident HF was 2.31 (1.40–3.80) for moderate inflammation level, and 4.16 (2.35–7.37) for high inflammation level. Among patients with stage C/D, the corresponding HR (95% CI) of HF hospitalization was 1.98 (1.28–3.04) for moderate inflammation level, and 2.69 (1.69–4.28) for high inflammation level. Conclusion: Patterns of inflammation severity may have differing prognostic meaning across UDHF stages. [ABSTRACT FROM AUTHOR]

Aims: To define plasma concentrations, determinants, and optimal prognostic cut‐offs of soluble suppression of tumorigenesis‐2 (sST2), high‐sensitivity cardiac troponin T (hs‐cTnT), and N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP) in women and men with chronic heart failure (HF). Methods and results: Individual data of patients from the Biomarkers In Heart Failure Outpatient Study (BIOS) Consortium with sST2, hs‐cTnT, and NT‐proBNP measured were analysed. The primary endpoint was a composite of 1 year cardiovascular death and HF hospitalization. The secondary endpoints were 5 year cardiovascular and all‐cause death. The cohort included 4540 patients (age 67 ± 12 years, left ventricular ejection fraction 33 ± 13%, 1111 women, 25%). Women showed lower sST2 (24 vs. 27 ng/mL, P < 0.001) and hs‐cTnT level (15 vs. 20 ng/L, P < 0.001), and similar concentrations of NT‐proBNP (1540 vs. 1505 ng/L, P = 0.408). Although the three biomarkers were confirmed as independent predictors of outcome in both sexes, the optimal prognostic cut‐off was lower in women for sST2 (28 vs. 31 ng/mL) and hs‐cTnT (22 vs. 25 ng/L), while NT‐proBNP cut‐off was higher in women (2339 ng/L vs. 2145 ng/L). The use of sex‐specific cut‐offs improved risk prediction compared with the use of previously standardized prognostic cut‐offs and allowed to reclassify the risk of many patients, to a greater extent in women than men, and for hs‐cTnT than sST2 or NT‐proBNP. Specifically, up to 18% men and up to 57% women were reclassified, by using the sex‐specific cut‐off of hs‐cTnT for the endpoint of 5 year cardiovascular death. Conclusions: In patients with chronic HF, concentrations of sST2 and hs‐cTnT, but not of NT‐proBNP, are lower in women. Lower sST2 and hs‐cTnT and higher NT‐proBNP cut‐offs for risk stratification could be used in women. [ABSTRACT FROM AUTHOR]

Background: Higher body mass index (BMI) is associated with better outcome compared with normal weight in patients with HF and other chronic diseases. It remains uncertain whether the apparent protective role of obesity relates to the absence of comorbidities. Therefore, we investigated the effect of BMI on outcome in younger patients without co-morbidities as compared to older patients with co-morbidities in a large heart failure (HF) population. Methods: In an individual patient data analysis from pooled cohorts, 5,819 patients with chronic HF and data available on BMI, co-morbidities and outcome were analysed. Patients were divided into four groups based on BMI (i.e. ≤ 18.5 kg/m2, 18.5–25.0 kg/m2; 25.0–30.0 kg/m2; 30.0 kg/m2). Primary endpoints included all-cause mortality and HF hospitalization-free survival. Results: Mean age was 65 ± 12 years, with a majority of males (78%), ischaemic HF and HF with reduced ejection fraction. Frequency of all-cause mortality or HF hospitalization was significantly worse in the lowest two BMI groups as compared to the other two groups; however, this effect was only seen in patients older than 75 years or having at least one relevant co-morbidity, and not in younger patients with HF only. After including medications and N-terminal pro-B-type natriuretic peptide and high-sensitivity cardiac troponin concentrations into the model, the prognostic impact of BMI was largely absent even in the elderly group with co-morbidity. Conclusions: The present study suggests that obesity is a marker of less advanced disease, but does not have an independent protective effect in patients with chronic HF. Categories of BMI are only predictive of poor outcome in patients aged > 75 years or with at least one co-morbidity (bottom), but not in those aged < 75 years without co-morbidities (top). The prognostic effect largely disappears in multivariable analyses even for the former group. These findings question the protective effect of obesity in chronic heart failure (HF). [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]

Aims: Concentrations of insulin‐like growth factor binding protein‐7 (IGFBP7) have been linked to abnormal cardiac structure and function in patients with chronic heart failure (HF), but cardiovascular correlates of the biomarker in patients with more acute presentations are lacking. We aimed to determine the relationship between IGFBP7 concentrations and cardiac structure and to evaluate the impact of IGFBP7 on the diagnosis of acute HF among patients with acute dyspnoea. Methods and results: In this pre‐specified subgroup analysis of the International Collaborative of N‐terminal pro‐B‐type Natriuretic Peptide Re‐evaluation of Acute Diagnostic Cut‐Offs in the Emergency Department (ICON‐RELOADED) study, we included 271 patients with and without acute HF. All patients presented to an emergency department with acute dyspnoea, had blood samples for IGFBP7 measurement, and detailed echocardiographic evaluation. Higher IGFBP7 concentrations were associated with numerous cardiac abnormalities, including increased left atrial volume index (LAVi; r = 0.49, P < 0.001), lower left ventricular ejection fraction (r = −0.27, P < 0.001), lower right ventricular fractional area change (r = −0.31, P < 0.001), and higher tissue Doppler E/e′ ratio (r = 0.44, P < 0.001). In multivariable linear regression analyses, increased LAVi (P = 0.01), lower estimated glomerular filtration rate (P = 0.008), higher body mass index (P = 0.001), diabetes (P = 0.009), and higher concentrations of amino‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP, P = 0.02) were independently associated with higher IGFBP7 concentrations regardless of other variables. Furthermore, IGFBP7 (odds ratio = 12.08, 95% confidence interval 2.42–60.15, P = 0.02) was found to be independently associated with the diagnosis of acute HF in the multivariable logistic regression analysis. Conclusions: Among acute dyspnoeic patients with and without acute HF, increased IGFBP7 concentrations are associated with a range of cardiac structure and function abnormalities. Independent association with increased LAVi suggests elevated left ventricular filling pressure is an important trigger for IGFBP7 expression and release. IGFBP7 may enhance the diagnosis of acute HF. [ABSTRACT FROM AUTHOR]

Learning objectives: After participating in this activity, learners should be better able to: • Identify the relationships between depression, anxiety, and heart failure (HF). • Assess methods for accurately diagnosing depression and anxiety disorders in patients with HF. • Evaluate current evidence for treatment of anxiety and depression in patients with HF. Background: In patients with heart failure (HF), depression and anxiety disorders are common and associated with adverse outcomes such as reduced adherence to treatment, poor function, increased hospitalizations, and elevated mortality. Despite the adverse impact of these disorders, anxiety and depression remain underdiagnosed and undertreated in HF patients. Methods: We performed a targeted literature review to (1) identify associations between depression, anxiety, and HF, (2) examine mechanisms mediating relationships between these conditions and medical outcomes, (3) identify methods for accurately diagnosing depression and anxiety disorders in HF, and (4) review current evidence for treatments of these conditions in this population. Results: Both depression and anxiety disorders are associated with the development and progression of HF, including increased rates of mortality, likely mediated through both physiologic and behavioral mechanisms. Given the overlap between cardiac and psychiatric symptoms, accurately diagnosing depression or anxiety disorders in HF patients can be challenging. Adherence to formal diagnostic criteria and utilization of a clinical interview are the best courses of action in the evaluation process. There is limited evidence for the efficacy of pharmacologic and psychotherapy in patients with HF. However, cognitive-behavioral therapy has been shown to improve mental health outcomes in patients with HF, and selective serotonin reuptake inhibitors appear safe in this cohort. Conclusions: Depression and anxiety disorders in HF patients are common, underrecognized, and linked to adverse outcomes. Further research to improve detection and develop effective treatments for these disorders in HF patients is badly needed. [ABSTRACT FROM AUTHOR]

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Aims: While heart failure with preserved (HFpEF) and reduced ejection fraction (HFrEF) are well described, determinants and outcomes of heart failure with mid-range ejection fraction (HFmrEF) remain unclear. We sought to examine clinical and biochemical predictors of incident HFmrEF in the community.Methods and Results: We pooled data from four community-based longitudinal cohorts, with ascertainment of new heart failure (HF) classified into HFmrEF [ejection fraction (EF) 41-49%], HFpEF (EF ≥50%), and HFrEF (EF ≤40%). Predictors of incident HF subtypes were assessed using multivariable Cox models. Among 28 820 participants free of HF followed for a median of 12 years, there were 200 new HFmrEF cases, compared with 811 HFpEF and 1048 HFrEF. Clinical predictors of HFmrEF included age, male sex, systolic blood pressure, diabetes mellitus, and prior myocardial infarction (multivariable adjusted P ≤ 0.003 for all). Biomarkers that predicted HFmrEF included natriuretic peptides, cystatin-C, and high-sensitivity troponin (P ≤ 0.0004 for all). Natriuretic peptides were stronger predictors of HFrEF [hazard ratio (HR) 2.00 per 1 standard deviation increase, 95% confidence interval (CI) 1.81-2.20] than of HFmrEF (HR 1.51, 95% CI 1.20-1.90, P = 0.01 for difference), and did not differ in their association with incident HFmrEF and HFpEF (HR 1.56, 95% CI 1.41-1.73, P = 0.68 for difference). All-cause mortality following the onset of HFmrEF was worse than that of HFpEF (50 vs. 39 events per 1000 person-years, P = 0.02), but comparable to that of HFrEF (46 events per 1000 person-years, P = 0.78).Conclusions: We found overlap in predictors of incident HFmrEF with other HF subtypes. In contrast, mortality risk after HFmrEF was worse than HFpEF, and similar to HFrEF. [ABSTRACT FROM AUTHOR]

Aims: Previous analyses suggest that heart failure (HF) therapy guided by (N-terminal pro-)brain natriuretic peptide (NT-proBNP) might be dependent on left ventricular ejection fraction, age and co-morbidities, but the reasons remain unclear.Methods and Results: To determine interactions between (NT-pro)BNP-guided therapy and HF with reduced [ejection fraction (EF) ≤45%; HF with reduced EF (HFrEF), n = 1731] vs. preserved EF [EF > 45%; HF with preserved EF (HFpEF), n = 301] and co-morbidities (hypertension, renal failure, chronic obstructive pulmonary disease, diabetes, cerebrovascular insult, peripheral vascular disease) on outcome, individual patient data (n = 2137) from eight NT-proBNP guidance trials were analysed using Cox-regression with multiplicative interaction terms. Endpoints were mortality and admission because of HF. Whereas in HFrEF patients (NT-pro)BNP-guided compared with symptom-guided therapy resulted in lower mortality [hazard ratio (HR) = 0.78, 95% confidence interval (CI) 0.62-0.97, P = 0.03] and fewer HF admissions (HR = 0.80, 95% CI 0.67-0.97, P = 0.02), no such effect was seen in HFpEF (mortality: HR = 1.22, 95% CI 0.76-1.96, P = 0.41; HF admissions HR = 1.01, 95% CI 0.67-1.53, P = 0.97; interactions P < 0.02). Age (74 ± 11 years) interacted with treatment strategy allocation independently of EF regarding mortality (P = 0.02), but not HF admission (P = 0.54). The interaction of age and mortality was explained by the interaction of treatment strategy allocation with co-morbidities. In HFpEF, renal failure provided strongest interaction (P < 0.01; increased risk of (NT-pro)BNP-guided therapy if renal failure present), whereas in HFrEF patients, the presence of at least two of the following co-morbidities provided strongest interaction (P < 0.01; (NT-pro)BNP-guided therapy beneficial only if none or one of chronic obstructive pulmonary disease, diabetes, cardiovascular insult, or peripheral vascular disease present). (NT-pro)BNP-guided therapy was harmful in HFpEF patients without hypertension (P = 0.02).Conclusion: The benefits of therapy guided by (NT-pro)BNP were present in HFrEF only. Co-morbidities seem to influence the response to (NT-pro)BNP-guided therapy and may explain the lower efficacy of this approach in elderly patients. [ABSTRACT FROM AUTHOR]

Highly sensitive troponin (hsTn) assays may predict cardiovascular (CV) events and left ventricular (LV) remodeling in patients with heart failure (HF). In this study, 99 subjects with LV systolic dysfunction (LVSD) were followed 10 ± 3 months with serial measurement of hsTnI by a novel method. hsTnI was detectable in all subjects and was above the 99th percentile of a normal population in 56.7 %. Supramedian baseline hsTnI concentration was associated with higher-risk clinical features and shorter time-to-first event ( p = 0.008). Across serial measurements, more time spent ≤10.9 pg/mL was associated with a lower CV event rate after adjustment (odds ratio (OR) = 0.81; p = 0.008); rising hsTnI also predicted progressive LV remodeling. In conclusion, hsTnI detected significant myocardial necrosis in a majority of patients with chronic HF due to LVSD and when measured serially, provided independent risk information for poor CV outcomes and deleterious LV remodeling. [ABSTRACT FROM AUTHOR]