Explore the vast range of titles available.

ObjectiveHeart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome. We aimed to derive HFpEF phenotype-based groups ('phenogroups') based on clinical and echocardiogram data using machine learning, and to compare clinical characteristics, proteomics and outcomes across the phenogroups.MethodsWe applied model-based clustering to 32 echocardiogram and 11 clinical and laboratory variables collected in stable condition from 320 HFpEF outpatients in the Karolinska-Rennes cohort study (56% female, median 78 years (IQR: 71–83)). Baseline proteomics and the composite end point of all-cause mortality or heart failure (HF) hospitalisation were used in secondary analyses.ResultsWe identified six phenogroups, for which significant differences in the prevalence of concomitant atrial fibrillation (AF), anaemia and kidney disease were observed (p<0.05). Fifteen out of 86 plasma proteins differed between phenogroups (false discovery rate, FDR<0.05), including biomarkers of HF, AF and kidney function. The composite end point was significantly different between phenogroups (log-rank p<0.001), at short-term (100 days), mid-term (18 months) and longer-term follow-up (1000 days). Phenogroup 2 was older, with poorer diastolic and right ventricular function and higher burden of risk factors as AF (85%), hypertension (83%) and chronic obstructive pulmonary disease (30%). In this group a third experienced the primary outcome to 100 days, and two-thirds to 18 months (HR (95% CI) versus phenogroups 1, 3, 4, 5, 6: 1.5 (0.8–2.9); 5.7 (2.6–12.8); 2.9 (1.5–5.6); 2.7 (1.6–4.6); 2.1 (1.2–3.9)).ConclusionsUsing machine learning we identified distinct HFpEF phenogroups with differential characteristics and outcomes, as well as differential levels of inflammatory and cardiovascular proteins.

Background Epicardial adipose tissue (EAT) surrounds the heart and is hypothesised to play a role in the development of heart failure (HF). In this study, we first investigated the differences in gene expression between epicardial adipose tissue (EAT) and subcutaneous adipose tissue (SAT) in patients undergoing elective coronary artery bypass graft (CABG) surgery ( n  = 21; 95% male). Secondly, we examined the association between EAT and SAT in patients at risk for HF stage A ( n  = 12) and in pre-HF patients, who show signs but not symptoms of HF, stage B ( n  = 9). Results The study confirmed a distinct separation between EAT and SAT. In EAT 17 clusters of genes were present, of which several novel gene modules are associated with characteristics of HF. Notably, seven gene modules showed significant correlation to measures of HF, such as end diastolic left ventricular posterior wall thickness, e’ mean , deceleration time and BMI. One module was particularly distinct in EAT when compared to SAT, featuring key genes such as FLT4, SEMA3A, and PTX3, which are implicated in angiogenesis, inflammation regulation, and tissue repair, suggesting a unique role in EAT linked to left ventricular dysfunction. Genetic expression was compared in EAT across all pre-HF and normal phenotypes, revealing small genetic changes in the form of 18 differentially expressed genes in ACC/AHA Stage A vs. Stage B. Conclusions The roles of subcutaneous and epicardial fat are clearly different. We highlight the gene expression difference in search of potential modifiers of HF progress. The true implications of our findings should be corroborated in other studies since HF ACC/AHA stage B patients are common and carry a considerable risk for progression to symptomatic HF.

New or mild heart failure (HF) is mainly caused by left ventricular dysfunction. We hypothesised that gene expression differ between the left (LV) and right ventricle (RV) and secondly by type of LV dysfunction. We compared gene expression through myocardial biopsies from LV and RV of patients undergoing elective coronary bypass surgery (CABG). Patients were categorised based on LV ejection fraction (EF), diastolic function and NT-proBNP into pEF (preserved; LVEF ≥ 45%), rEF (reduced; LVEF < 45%) or normal LV function. Principal component analysis of gene expression displayed two clusters corresponding to LV and RV. Up-regulated genes in LV included natriuretic peptides NPPA and NPPB, transcription factors/coactivators STAT4 and VGLL2, ion channel related HCN2 and LRRC38 associated with cardiac muscle contraction, cytoskeleton, and cellular component movement. Patients with pEF phenotype versus normal differed in gene expression predominantly in LV, supporting that diastolic dysfunction and structural changes reflect early LV disease in pEF. DKK2 was overexpressed in LV of HFpEF phenotype, potentially leading to lower expression levels of β-catenin, α-SMA (smooth muscle actin), and enhanced apoptosis, and could be a possible factor in the development of HFpEF. CXCL14 was down-regulated in both pEF and rEF, and may play a role to promote development of HF.

Aims Factors influencing follow‐up referral decisions and their prognostic implications are poorly investigated in patients with heart failure (HF) with reduced (HFrEF), mildly reduced (HFmrEF), and preserved (HFpEF) ejection fraction (EF). We assessed (i) the proportion of, (ii) independent predictors of, and (iii) outcomes associated with follow‐up in specialty vs. primary care across the EF spectrum. Methods and results We analysed 75 518 patients from the large and nationwide Swedish HF registry between 2000–2018. Multivariable logistic regression models were fitted to identify the independent predictors of planned follow‐up in specialty vs. primary care, and multivariable Cox models to assess the association between follow‐up type and outcomes. In this nationwide registry, 48 115 (64%) patients were planned for follow‐up in specialty and 27 403 (36%) in primary care. The median age was 76 [interquartile range (IQR) 67–83] years and 27 546 (36.5%) patients were female. Key independent predictors of planned follow‐up in specialty care included optimized HF care, that is follow‐up in a nurse‐led HF clinic [odds ratio (OR) 4.60, 95% confidence interval (95% CI) 4.41–4.79], use of HF devices (OR 3.99, 95% CI 3.62–4.40), beta‐blockers (OR 1.39, 95% CI 1.32–1.47), renin–angiotensin system/angiotensin‐receptor‐neprilysin inhibitors (OR 1.21, 95% CI 1.15–1.27), and mineralocorticoid receptor antagonists (OR 1.31, 95% CI 1.26–1.37); and more severe HF, that is higher NT‐proBNP (OR 1.13, 95% CI 1.06–1.20) and NYHA class (OR 1.13, 95% CI 1.08–1.19). Factors associated with lower likelihood of follow‐up in specialty care included older age (OR 0.29, 95% CI 0.28–0.30), female sex (OR 0.89, 95% CI 0.86–0.93), lower income (OR 0.79, 95% CI 0.76–0.82) and educational level (OR 0.77, 95% CI 0.73–0.81), higher EF [HFmrEF (OR 0.65, 95% CI 0.62–0.68) and HFpEF (OR 0.56, 95% CI 0.53–0.58) vs. HFrEF], and higher comorbidity burden, such as presence of kidney disease (OR 0.91, 95% CI 0.87–0.95), atrial fibrillation (OR 0.85, 95% CI 0.81–0.89), and diabetes mellitus (OR 0.92, 95% CI 0.88–0.96). A planned follow‐up in specialty care was independently associated with lower risk of all‐cause [hazard ratio (HR) 0.78, 95% CI 0.76–0.80] and cardiovascular death (HR 0.76, 95% CI 0.73–0.78) across the EF spectrum, but not of HF hospitalization (HR 1.06, 95% CI 1.03–1.10). Conclusions In a large nationwide HF population, referral to specialty care was linked with male sex, younger age, lower EF, lower comorbidity burden, better socioeconomic environment and optimized HF care, and associated with better survival across the EF spectrum. Our findings highlight the need for greater and more equal access to HF specialty care and improved quality of primary care.

Abstract Aims At present, the clinical burden of hypokalaemia and hyperkalaemia among European heart failure patients, and relationships between serum potassium and adverse clinical outcomes in this population, is not well characterized. The aim of this study was to investigate associations between mortality, major adverse cardiac events, and renin–angiotensin–aldosterone system inhibitor (RAASi) discontinuation across serum potassium levels, in a UK cohort of incident heart failure patients. Methods and results This was a retrospective observational cohort study of newly diagnosed heart failure patients listed in the Clinical Practice Research Datalink, with a first record of heart failure (index date) between 2006 and 2015. Hypokalaemia and hyperkalaemia episodes were defined as the number of serum potassium measurements exceeding each threshold (<3.5, ≥5.0, ≥5.5, and ≥6.0 mmol/L), without such a measurement in the preceding 7 days. Risk equations developed using Poisson generalized estimating equations were utilized to estimate adjusted incident rate ratios (IRRs) relating serum potassium and clinical outcomes (death, major adverse cardiac event, and RAASi discontinuation). Among 21,334 eligible heart failure patients, 1969 (9.2%), 7648 (35.9%), 2725 (12.8%), and 763 (3.6%) experienced episodes of serum potassium <3.5, ≥5.0, ≥5.5, and ≥6.0 mmol/L, respectively. The adjusted IRRs for mortality exhibited a U-shaped association pattern with serum potassium. Relative to the reference category (4.5 to <5.0 mmol/L), adjusted IRRs for mortality were estimated as 1.98 (95% confidence interval: 1.69–2.33), 1.23 (1.12–1.36), 1.35 (1.14–1.60), and 3.02 (2.28–4.02), for patients with serum potassium <3.5, ≥5.0 to <5.5, ≥5.5 to <6.0, and ≥6.0 mmol/L, respectively. The adjusted IRRs for major adverse cardiac events demonstrated a non-statistically significant relationship with serum potassium. Discontinuation of RAASi therapy exhibited a J-shaped trend in association with serum potassium. Compared with the reference category (4.5 to <5.0 mmol/L), adjusted IRRs were estimated as 1.07 (0.89–1.28) in patients with serum potassium <3.5 mmol/L, increasing to 1.32 (1.14–1.53) and 2.19 (1.63–2.95) among those with serum potassium ≥5.5 to <6.0 and ≥6.0 mmol/L, respectively. Conclusions In UK patients with new onset heart failure, both hypokalaemia and hyperkalaemia were associated with increased mortality risk, and hyperkalaemia was associated with increased likelihood of RAASi discontinuation. Our results demonstrate the potential importance of serum potassium monitoring for heart failure outcomes and management.

Background To address a current paucity of European data, this study developed equations to predict risks of mortality, major adverse cardiac events (MACE) and renin angiotensin-aldosterone system inhibitor (RAASi) discontinuation using time-varying serum potassium and other covariates, in a UK cohort of chronic kidney disease (CKD) patients. Methods This was a retrospective observational study of adult CKD patients listed on the Clinical Practice Research Datalink, with a first record of CKD (stage 3a–5, pre-dialysis) between 2006 and 2015. Patients with heart failure at index were excluded. Risk equations developed using Poisson Generalized Estimating Equations were utilised to estimate adjusted incident rate ratios (IRRs) between serum potassium and adverse outcomes, and identify other predictive clinical factors. Results Among 191,964 eligible CKD patients, 86,691 (45.16%), 30,629 (15.96%) and 9440 (4.92%) experienced at least one hyperkalaemia episode, when defined using serum potassium concentrations 5.0–< 5.5 mmol/L, 5.5–< 6.0 mmol/L and ≥ 6.0 mmol/L, respectively. Relative to the reference category (4.5 to < 5.0 mmol/L), adjusted IRRs for mortality and MACE exhibited U-shaped associations with serum potassium, with age being the most important predictor of both outcomes ( P  < 0.0001). A J-shaped association between serum potassium and RAASi discontinuation was observed; estimated glomerular filtration rate was most predictive of RAASi discontinuation ( P  < 0.0001). Conclusions Hyperkalaemia was associated with increased mortality and RAASi discontinuation risk. These risk equations represent a valuable tool to predict clinical outcomes among CKD patients; and identify those likely to benefit from strategies that treat hyperkalaemia, prevent RAASi discontinuation, and effectively manage serum potassium levels.

Aims In heart failure (HF) with preserved ejection fraction (HFpEF), microvascular inflammation is proposed as an underlying mechanism. Myeloperoxidase (MPO) is associated with vascular dysfunction and prognosis in congestive HF. Methods and results MPO, MPO‐related biomarkers, and echocardiography were assessed in 86 patients, 4–8 weeks after presentation with acute HF (EF ≥ 45%), and in 46 healthy controls. Patients were followed up for median 579 days (Q1;Q3 276;1178) regarding the composite endpoint all‐cause mortality or HF hospitalization. Patients were 73 years old, 51% were female, EF was 64% (Q1;Q3 58;68), E/e′ was ratio 10.8 (8.3;14.0), and left atrial volume index (LAVI) was 43 mL/m2 (38;52). Controls were 60 (57;62) years old (vs. patients; P < 0.001), 24% were female (P = 0.005), and left ventricular EF was 63% (59;66; P = 0.790). MPO was increased in HFpEF compared with controls, 101 (81;132) vs. 86 (74;101 ng/mL, P = 0.015), as was uric acid 369 (314;439) vs. 289 (252;328 μmol/L, P < 0.001), calprotectin, asymmetric dimethyl arginine (ADMA), and symmetric dimethyl arginine (SDMA), while arginine was decreased. MPO correlated with uric acid (r = 0.26; P = 0.016). In patients with E/e′ > 14, uric acid and SDMA were elevated (421 vs. 344 μM, P = 0.012; 0.54 vs. 0.47 μM, P = 0.039, respectively), and MPO was 121 vs. 98 ng/mL (P = 0.090). The ratios of arginine/ADMA (112 vs. 162; P < 0.001) and ADMA/SDMA (1.36 vs. 1.17; P = 0.002) were decreased in HFpEF patients, suggesting reduced NO availability and increased enzymatic clearance of ADMA, respectively. Uric acid independently predicted the endpoint [hazard ratio (HR) 3.76 (95% CI 1.19–11.85; P = 0.024)] but not MPO [HR 1.48 (95% CI 0.70–3.14; P = 0.304)] or the other biomarkers. Conclusions In HFpEF, MPO‐dependent oxidative stress reflected by uric acid and calprotectin is increased, and SDMA is associated with diastolic dysfunction and uric acid with outcome. This suggests microvascular neutrophil involvement mirroring endothelial dysfunction, a central component of the HFpEF syndrome and a potential treatment target.

Aims Heart failure (HF) with preserved ejection fraction (HFpEF) is associated with cardiovascular (CV) and non‐CV events, but long‐term risk is poorly studied. We assessed incidence and predictors of the long‐term CV and non‐CV events. Methods and results Patients presenting with acute HF, EF ≥ 45%, and N‐terminal pro‐brain natriuretic peptide > 300 ng/L were enrolled in the Karolinska‐Rennes study in 2007–11 and were reassessed after 4–8 weeks in a stable state. Long‐term follow‐up was conducted in 2018. The Fine–Gray sub‐distribution hazard regression was used to detect predictors of CV and non‐CV deaths, investigated separately from baseline acute presentation (demographic data only) and from the 4–8 week outpatient visit (including echocardiographic data). Of 539 patients enrolled [median age 78 (interquartile range: 72–84) years; 52% female], 397 patients were available for the long‐term follow‐up. Over a median follow‐up time from acute presentation of 5.4 (2.1–7.9) years, 269 (68%) patients died, 128 (47%) from CV and 120 (45%) from non‐CV causes. Incidence rates per 1000 patient‐years were 62 [95% confidence interval (CI) 52–74] for CV and 58 (95% CI 48–69) for non‐CV death. Higher age and coronary artery disease (CAD) were independent predictors of CV death, and anaemia, stroke, kidney disease, and lower body mass index (BMI) and sodium concentrations of non‐CV death. From the stable 4–8 week visit, anaemia, CAD, and tricuspid regurgitation (>3.1 m/s) were independent predictors of CV death, and higher age of non‐CV death. Conclusions In patients with acute decompensated HFpEF, over 5 years of follow‐up, nearly two‐thirds of patients died, half from CV and the other half from non‐CV causes. CAD and tricuspid regurgitation were associated with CV death. Stroke, kidney disease, lower BMI, and lower sodium were associated with non‐CV death. Anaemia and higher age were associated with both outcomes. [Correction added on 24 March 2023, after first online publication: In the first sentence of the Conclusions, ‘two‐thirds’ has been inserted before ‘of patients died...’ in this version.]