Rates and predictors of cardiovascular and non-cardiovascular outcomes in heart failure with preserved ejection fraction.

AIMS: The detailed sub-categories of death and hospitalization, and the impact of comorbidities on cause-specific outcomes, remain poorly understood in heart failure (HF) with preserved ejection fraction (HFpEF). We sought to evaluate rates and predictors of cardiovascular (CV) and non-CV outcomes in HFpEF. METHODS: The Karolinska-Rennes study was a bi-national prospective observational study designed to characterize HFpEF (ejection fraction ≥45%). Patients were followed for cause-specific death and hospitalization. Baseline characteristics were pre-selected based on clinical relevance and potential eligibility criteria for HFpEF trials. The associations between characteristics and cause-specific outcomes were assessed with univariable and multivariable Cox regressions. RESULTS: Five hundred thirty-nine patients [56% females; median (inter-quartile range) age 79 (72-84) years; NT-proBNP/BNP 2448 (1290-4790)/429 (229-805) ng/L] were included. Over 1196 patient-years follow-up [median (min, max) 744 days (13-1959)], there were 159 (29%) deaths (13 per 100 patient-years: CV 5.1 per 100, dominated by HF 3.9 per 100; and non-CV 5.8 per 100, dominated by cancer, 2.3 per 100). There were 723 hospitalizations in 338 patients (63%; 60 per 100 patient-years: CV 33 per 100, dominated by HF 17 per 100; and non-CV 27 per 100, dominated by lung disease 5 per 100). Higher age and natriuretic peptides, lower serum natraemia and NYHA class III-IV were independent predictors of CV death; lower serum natraemia, anaemia and stroke of non-CV death; and anaemia and lower serum natraemia of non-CV death or hospitalizations. There were no apparent predictors of CV death or hospitalization. CONCLUSIONS: In a clinical cohort hospitalized and diagnosed with HFpEF, death and hospitalization rates were roughly similar for CV and non-CV causes. CV deaths were predicted primarily by severity of HF; non-CV deaths primarily by anaemia and prior stroke. Lower serum sodium predicted both. Hospitalizations were difficult to predict.

Iron deficiency in new onset heart failure: association with clinical factors and quality of life.

AIMS: The prevalence of iron deficiency (ID) in newly diagnosed heart failure (HF) and the progression of ID in patients after initiation of HF therapy are unknown. We aimed to describe the natural trajectory of ID in patients with new onset HF during the first year after HF diagnosis, assessing associations between ID, clinical factors, and quality of life (QoL). METHODS AND RESULTS: A prospective cohort of patients with new onset HF in hospitals or outpatient clinics at five major hospitals in Stockholm, Sweden, during 2015-2018 were analysed with clinical assessment, electrocardiogram, blood samples including iron levels, Minnesota living with heart failure questionnaire (MLHFQ), and echocardiogram at baseline and after 12 months. Of 547 patients with new-onset HF, 482 (88%) had complete iron data at baseline. Mean age was 70 years (interquartile range 61-77) and 311 (65%) were men; 55% of patients had ejection fraction (EF) ≤ 40%, 19% had EF 41-49%, and 26% had HF with preserved EF (HFpEF). At baseline, 163 patients (34%) had ID defined as ferritin <100 µg/L or ferritin 100-299 µg/L and transferrin saturation <20%. After 12 months of follow-up, 119 (32%) had ID of the 368 patients who had complete iron data both at baseline and after 12 months and did not receive intravenous (i.v.) iron during follow-up. During the first year after HF diagnosis, 19% had persistent ID, 13% developed ID, 11% resolved ID, and 57% never had ID, consequently 24% changed their classification. Anaemia at baseline was the strongest independent predictor of ID 1 year after diagnosis [odds ratio (OR) 3.91, 95% confidence interval (CI) 1.88-8.13, P < 0.001], followed by HF hospitalization (OR 2.21, 95% CI 1.24-3.95, P < 0.01), female sex (OR 2.04, 95% CI 1.25-3.32, P < 0.01), HFpEF (OR 1.96, 95% CI 1.13-3.39, P < 0.05), and diabetes mellitus (OR 1.92, 95% CI 1.06-3.48, P < 0.05). ID was associated with low QoL at baseline (MLHFQ score mean difference 7.4 points, 95% CI 3.1-11.7, P < 0.001), but not at follow-up. CONCLUSIONS: About one third of patients with new onset HF had ID both at the time of HF diagnosis and after 1 year, though a quarter of the patients changed their ID status. Patients with anaemia, HF hospitalization, female gender, HFpEF, or diabetes mellitus at baseline were more likely to have ID after 1 year implying that these should be carefully screened for ID to find those in need of i.v. iron treatment.

Eligibility for omecamtiv mecarbil in a real-world heart failure population: Data from the Swedish Heart Failure Registry.

AIMS: We assessed eligibility for omecamtiv mecarbil (OM) in a real-world cohort with heart failure with reduced ejection fraction (HFrEF) according to the selection criteria of the GALACTIC-HF trial (trial scenario) and selected trial´s criteria more likely to impact real-world use (pragmatic scenario). METHODS AND RESULTS: We included 31,015 patients with HFrEF lasting ≥3 months and registered in the Swedish HF registry between 2000-2021. Trial eligibility was calculated by applying all the GALACTIC-HF selection criteria. The pragmatic scenario considered only the New York Heart Association class, history of worsening HF, N-terminal pro-B-type natriuretic peptides (NT-proBNP), blood pressure and renal failure criteria defined as in the trial. Eligibility for OM in chronic HFrEF was 21% and 36% in the trial and pragmatic scenarios, respectively. Eligibility was higher in those with EF<30% (trial: 27%, pragmatic: 44%), in-patients (trial:30%, pragmatic:57%), severe HF (trial: 35%, pragmatic: 60%), NYHA class III-IV (trial: 26%, pragmatic: 45%), and NT-proBNP≥5,000pg/mL (trial: 30%, pragmatic: 51%). The criteria that most limited eligibility were history of a recent worsening HF event (60% eligible in chronic HFrEF), elevated NT-proBNP (82% eligible), and deviating blood pressure (82% eligible). Overall, eligible patients were characterized by more severe HF and higher CV event-rates in both scenarios, and higher comorbidity burden in the pragmatic scenario. CONCLUSION: Approximately 21% of real-world chronic HFrEF patients would be eligible for OM according to the GALACTIC-HF selection criteria, and 36% according to the criteria more likely to affect OM use in clinical practice. Criteria in both scenarios identified a patient-group with severe HF and high CV event-rates.

Cardiac biopsies reveal differences in transcriptomics between left and right ventricle in patients with or without diagnostic signs of heart failure.

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 ß-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.

Previous heart failure hospitalization, spironolactone, and outcomes in heart failure with preserved ejection fraction - a secondary analysis of TOPCAT.

BACKGROUND: Hospitalization for heart failure (HHF) is associated with poor postdischarge outcomes but the role of time since most recent HHF and potential treatment interactions are unknown. We aimed to assess history of and time since previous HHF, associations with composite of cardiovascular (CV) death and total HHF, first HHF and interactions with randomization to spironolactone, in heart failure with preserved ejection fraction. METHODS AND RESULTS: We assessed these objectives using uni- and multivariable regressions and spline analyses in TOPCAT-Americas. Among 1,765 patients, 66% had a previous HHF. Over a median of 2.9 years, 1,064 composite events of CV death or total HHFs occurred. Previous HHF was associated with more severe HF, and was independently associated with the composite outcome (HR 1.26, 95%CI 1.05-1.52, P = .014), and all secondary outcomes. A shorter time since most recent HHF appeared to be associated with subsequent first HHF, but not the composite of CV death or total HHF. Spironolactone had a significant interaction with previous HHF (interaction-P .046). Patients without a previous HHF had a larger effect of spironolactone on the composite outcome (HR 0.63, 95%CI 0.46-0.87, P = .005) than patients with a previous HHF (HR 0.91, 95%CI 0.78-1.06, P = .224). CONCLUSION: In TOPCAT-Americas, previous HHF was associated with CV death and first and total HHF. Duration since most recent HHF seemed to be associated with time to first HHF only. Spironolactone was associated with better outcomes in patients without a previous HHF. This interaction is hypothesis-generating and requires validation in future trials.

Characteristics, management, and outcomes in women and men with congestive heart failure in 40 countries at different economic levels: an analysis from the Global Congestive Heart Failure (G-CHF) registry.

BACKGROUND: There is a paucity of data on the clinical characteristics, management, and outcomes of women compared with men with heart failure in low-income and middle-income countries compared with high-income countries. We examined sex differences in risk factors, clinical characteristics, and treatments, and prospectively assessed the risk of heart failure hospitalisation and mortality in patients with heart failure in 40 high-income, middle-income, and low-income countries. METHODS: Participants aged 18 years or older with heart failure were enrolled from Dec 20, 2016, to Sept 9, 2020 in the prospective Global Congestive Heart Failure (G-CHF) study from 257 centres in 40 high-income, middle-income, and low-income countries. Participants were followed up until May 25, 2023. We recorded the demographic characteristics, medical history, and treatments of participants. We prospectively recorded data on heart failure hospitalisation and mortality by sex in the overall study, according to country economic status, and according to level of left ventricular ejection fraction (LVEF). FINDINGS: 23 341 participants (9119 [39·1%] women and 14 222 [60·1%] men) were recruited and followed up for a mean of 2·6 years (SD 1·4). The mean age of women in the study was 62 years (SD 17) compared with 64 years (14) in men. Fewer women than men had an LVEF of 40% or lower (51·7% women vs 66·2% men). By contrast, more women than men had an LVEF of 50% or higher (33·2% women vs 18·6% men). Hypertensive heart failure was the most common aetiology in women (25·5% women vs 16·8% men), whereas ischaemic heart failure was the most common aetiology in men (45·6% men vs 26·6% women). Signs and symptoms of congestion were more common in women than men: 42·6% of women had a New York Heart Association functional class of III or IV compared with 37·9% of men. The use of heart failure medications and cardiac tests did not differ systematically between the sexes, although implantable cardioverter defibrillator (ICD) implantation was lower among women than men (8·7% women vs 17·2% men). The adjusted risk of heart failure hospitalisation was similar in women and men (women-to-men adjusted hazard ratio [HR] 0·99 [95% CI 0·92-1·05]). This pattern was consistent within groups of countries categorised by economic status, geographical region, and by LVEF level. However, women had a lower adjusted risk of mortality (women-to-men adjusted HR 0·79 [95% CI 0·75-0·84]) despite adjustments for prognostic factors-a pattern which was consistently observed across groups of countries irrespective of economic status, geography, and LVEF levels of patients. INTERPRETATION: The underlying cause of heart failure and ejection fraction phenotype differ between women and men, as do the severity of symptoms. Heart failure treatments (except ICD use) were not consistently in favour of one sex. Paradoxically, while the rates of hospitalisations were similar among women and men, the risk of death was lower among women. These patterns were consistent regardless of the economic status of the countries. The higher mortality among men is unexplained and warrants further study. FUNDING: Bayer.

External validation of a deep learning algorithm for automated echocardiographic strain measurements.

Aims: Echocardiographic strain imaging reflects myocardial deformation and is a sensitive measure of cardiac function and wall-motion abnormalities. Deep learning (DL) algorithms could automate the interpretation of echocardiographic strain imaging. Methods and results: We developed and trained an automated DL-based algorithm for left ventricular (LV) strain measurements in an internal dataset. Global longitudinal strain (GLS) was validated externally in (i) a real-world Taiwanese cohort of participants with and without heart failure (HF), (ii) a core-lab measured dataset from the multinational prevalence of microvascular dysfunction-HF and preserved ejection fraction (PROMIS-HFpEF) study, and regional strain in (iii) the HMC-QU-MI study of patients with suspected myocardial infarction. Outcomes included measures of agreement [bias, mean absolute difference (MAD), root-mean-squared-error (RMSE), and Pearson's correlation (R)] and area under the curve (AUC) to identify HF and regional wall-motion abnormalities. The DL workflow successfully analysed 3741 (89%) studies in the Taiwanese cohort, 176 (96%) in PROMIS-HFpEF, and 158 (98%) in HMC-QU-MI. Automated GLS showed good agreement with manual measurements (mean ± SD): -18.9 ± 4.5% vs. -18.2 ± 4.4%, respectively, bias 0.68 ± 2.52%, MAD 2.0 ± 1.67, RMSE = 2.61, R = 0.84 in the Taiwanese cohort; and -15.4 ± 4.1% vs. -15.9 ± 3.6%, respectively, bias -0.65 ± 2.71%, MAD 2.19 ± 1.71, RMSE = 2.78, R = 0.76 in PROMIS-HFpEF. In the Taiwanese cohort, automated GLS accurately identified patients with HF (AUC = 0.89 for total HF and AUC = 0.98 for HF with reduced ejection fraction). In HMC-QU-MI, automated regional strain identified regional wall-motion abnormalities with an average AUC = 0.80. Conclusion: DL algorithms can interpret echocardiographic strain images with similar accuracy as conventional measurements. These results highlight the potential of DL algorithms to democratize the use of cardiac strain measurements and reduce time-spent and costs for echo labs globally.

Acyl ghrelin increases cardiac output while preserving right ventricular-pulmonary arterial coupling in heart failure.

AIM: Acyl ghrelin increases cardiac output (CO) in heart failure with reduced ejection fraction (HFrEF). This could impair the right ventricular-pulmonary arterial coupling (RVPAC), both through an increased venous return and right ventricular afterload. We aim to investigate if acyl ghrelin increases CO with or without worsening the right-sided haemodynamics in HFrEF assessed by RVPAC. METHODS AND RESULTS: The Karolinska Acyl ghrelin Trial was a randomized double-blind placebo-controlled trial of acyl ghrelin versus placebo (120-min intravenous infusion) in HFrEF. RVPAC was assessed echocardiographically at baseline and 120 min. ANOVA was used for difference in change between acyl ghrelin versus placebo, adjusted for baseline values. Of the 30 randomized patients, 22 had available RVPAC (acyl ghrelin n = 12, placebo n = 10). Despite a 15% increase in CO in the acyl ghrelin group (from 4.0 (3.5-4.6) to 4.6 (3.9-6.1) L/min, P = 0.003), RVPAC remained unchanged; 5.9 (5.3-7.6) to 6.3 (4.8-7.5) mm·(m/s)-1 , P = 0.372, while RVPAC was reduced in the placebo group, 5.2 (4.3-6.4) to 4.8 (4.2-5.8) mm·(m/s)-1 , P = 0.035. Comparing change between groups, CO increased in the acyl ghrelin group versus placebo (P = 0.036) while RVPAC and the right ventricular pressure gradient remained unchanged. CONCLUSION: Treatment with acyl ghrelin increases CO while preserving or even improving RVPAC in HFrEF, possibly due to increased contractility, reduced PVR and/or reduced left sided filling pressures. These potential effects strengthen the role of acyl ghrelin therapy in HFrEF with right ventricular failure.

Regional differences and coronary microvascular dysfunction in heart failure with preserved ejection fraction.

AIMS: In heart failure with preserved ejection fraction (HFpEF), regional heterogeneity of clinical phenotypes is increasingly recognized, with coronary microvascular dysfunction (CMD) potentially being a common shared feature. We sought to determine the regional differences in clinical characteristics and prevalence of CMD in HFpEF. METHODS AND RESULTS: We analysed clinical characteristics and CMD in 202 patients with stable HFpEF (left ventricular ejection fraction ≥40%) in Finland, Singapore, Sweden, and United States in the multicentre PROMIS-HFpEF study. Patients with unrevascularized macrovascular coronary artery disease were excluded. CMD was assessed using Doppler echocardiography and defined as coronary flow reserve (adenosine-induced vs. resting flow) < 2.5. Patients from Singapore had the lowest body mass index yet highest prevalence of hypertension, dyslipidaemia, and diabetes; patients from Finland and Sweden were oldest, with the most atrial fibrillation, chronic kidney disease, and high smoking rates; and those from United States were youngest and most obese. The prevalence of CMD was 88% in Finland, 80% in Singapore, 77% in Sweden, and 59% in the United States; however, non-significant after adjustment for age, sex, N-terminal pro-brain natriuretic peptide, smoking, left atrial reservoir strain, and atrial fibrillation. Associations between CMD and clinical characteristics did not differ based on region (interaction analysis). CONCLUSIONS: Despite regional differences in clinical characteristics, CMD was present in the majority of patients with HFpEF across different regions of the world with the lowest prevalence in the United States. This difference was explained by differences in patient characteristics. CMD could be a common therapeutic target across regions.

Safety of continuing mineralocorticoid receptor antagonist treatment in patients with heart failure with reduced ejection fraction and severe kidney disease: Data from Swedish Heart Failure Registry.

AIMS: Mineralocorticoid receptor antagonists (MRAs) improve outcomes in heart failure with reduced ejection fraction (HFrEF) but remain underused and are often discontinued especially in patients with chronic kidney disease (CKD) due to concerns on renal safety. Therefore, in a real-world HFrEF population we investigated the safety of MRA use, in terms of risk of renal events, any mortality and any hospitalization, across the estimated glomerular filtration rate (eGFR) spectrum including severe CKD. METHODS AND RESULTS: We analysed patients with HFrEF (ejection fraction <40%), not on dialysis, from the Swedish Heart Failure Registry. We performed multivariable logistic regression models to investigate patient characteristics independently associated with MRA use, and univariable and multivariable Cox regression models to assess the associations between MRA use and outcomes. Of 33 942 patients, 17 489 (51%) received MRA, 32%, 45%, 54%, 54% with eGFR <30, 30-44, 45-59 or ≥60 ml/min/1.73 m2 , respectively. An eGFR ≥60 ml/min/1.73 m2 and patient characteristics linked with more severe HF were independently associated with more likely MRA use. In multivariable analyses, MRA use was consistently not associated with a higher risk of renal events (i.e. composite of dialysis/renal death/hospitalization for renal failure or hyperkalaemia) (hazard ratio [HR] 1.04, 95% confidence interval [CI] 0.98-1.10), all-cause death (HR 1.02, 95% CI 0.97-1.08) as well as of all-cause hospitalization (HR 0.99, 95% CI 0.95-1.02) across the eGFR spectrum including also severe CKD. CONCLUSIONS: The use of MRAs in patients with HFrEF decreased with worse renal function; however their safety profile was demonstrated to be consistent across the entire eGFR spectrum.

Personalized lifetime prediction of survival and treatment benefit in patients with heart failure with reduced ejection fraction: The LIFE-HF model.

AIMS: Although trials have proven the group-level effectiveness of various therapies for heart failure with reduced ejection fraction (HFrEF), important differences in absolute effectiveness exist between individuals. We developed and validated the LIFEtime-perspective for Heart Failure (LIFE-HF) model for the prediction of individual (lifetime) risk and treatment benefit in patients with HFrEF. METHODS AND RESULTS: Cox proportional hazards functions with age as the time scale were developed in the PARADIGM-HF and ATMOSPHERE trials (n = 15 415). Outcomes were cardiovascular death, heart failure (HF) hospitalization or cardiovascular death, and non-cardiovascular mortality. Predictors were age, sex, New York Heart Association class, prior HF hospitalization, diabetes mellitus, extracardiac vascular disease, systolic blood pressure, left ventricular ejection fraction, N-terminal pro-B-type natriuretic peptide, and glomerular filtration rate. The functions were combined in life-tables to predict individual overall and HF hospitalization-free survival. External validation was performed in the SwedeHF registry, ASIAN-HF registry, and DAPA-HF trial (n = 51 286). Calibration of 2- to 10-year risk was adequate, and c-statistics were 0.65-0.74. An interactive tool was developed combining the model with hazard ratios from trials to allow estimation of an individual's (lifetime) risk and treatment benefit in clinical practice. Applying the tool to the development cohort, combined treatment with a mineralocorticoid receptor antagonist, sodium-glucose cotransporter 2 inhibitor, and angiotensin receptor-neprilysin inhibitor was estimated to afford a median of 2.5 (interquartile range [IQR] 1.7-3.7) and 3.7 (IQR 2.4-5.5) additional years of overall and HF hospitalization-free survival, respectively. CONCLUSION: The LIFE-HF model enables estimation of lifelong overall and HF hospitalization-free survival, and (lifetime) treatment benefit for individual patients with HFrEF. It could serve as a tool to improve the management of HFrEF by facilitating personalized medicine and shared decision-making.

Patient profiles in heart failure with reduced ejection fraction: Prevalence, characteristics, treatments and outcomes in a real-world heart failure population.

AIMS: The Heart Failure Association of the European Society of Cardiology has recently proposed to optimize guideline-directed medical treatments according to patient's profiles. The aim of this analysis was to investigate prevalence/characteristics/treatments/outcomes for individual profiles. METHODS AND RESULTS: Patients with heart failure (HF) with reduced ejection fraction (HFrEF) enrolled in the Swedish Heart Failure Registry (SwedeHF) between 2013 and 2021 were considered. Among 108 profiles generated by combining different strata of renal function (by estimated glomerular filtration rate [eGFR]), systolic blood pressure (sBP), heart rate, atrial fibrillation (AF) status and presence of hyperkalaemia, 93 were identified in our cohort. Event rates for a composite of cardiovascular (CV) mortality or first HF hospitalization were calculated for each profile. The nine most frequent profiles accounting for 70.5% of the population had eGFR 30-60 or ≥60 ml/min/1.73 m2 , sBP 90-140 mmHg and no hyperkalaemia. Heart rate and AF were evenly distributed. The highest risk of CV mortality/first HF hospitalization was observed in those with concomitant eGFR 30-60 ml/min/1.73 m2 and AF. We also identified nine profiles with the highest event rates, representing only 5% of the study population, characterized by no hyperkalaemia, even distribution among the sBP strata, predominance of eGFR <30 ml/min/1.73 m2 and AF. The three profiles with eGFR 30-60 ml/min/1.73 m2 also showed sBP <90 mmHg. CONCLUSIONS: In a real-world cohort, most patients fit in a few easily identifiable profiles; the nine profiles at highest risk of mortality/morbidity accounted for only 5% of the population. Our data might contribute to identifying profile-tailored approaches to guide drug implementation and follow-up.

Global Variations in Heart Failure Etiology, Management, and Outcomes.

Importance: Most epidemiological studies of heart failure (HF) have been conducted in high-income countries with limited comparable data from middle- or low-income countries. Objective: To examine differences in HF etiology, treatment, and outcomes between groups of countries at different levels of economic development. Design, Setting, and Participants: Multinational HF registry of 23 341 participants in 40 high-income, upper-middle-income, lower-middle-income, and low-income countries, followed up for a median period of 2.0 years. Main Outcomes and Measures: HF cause, HF medication use, hospitalization, and death. Results: Mean (SD) age of participants was 63.1 (14.9) years, and 9119 (39.1%) were female. The most common cause of HF was ischemic heart disease (38.1%) followed by hypertension (20.2%). The proportion of participants with HF with reduced ejection fraction taking the combination of a ß-blocker, renin-angiotensin system inhibitor, and mineralocorticoid receptor antagonist was highest in upper-middle-income (61.9%) and high-income countries (51.1%), and it was lowest in low-income (45.7%) and lower-middle-income countries (39.5%) (P < .001). The age- and sex- standardized mortality rate per 100 person-years was lowest in high-income countries (7.8 [95% CI, 7.5-8.2]), 9.3 (95% CI, 8.8-9.9) in upper-middle-income countries, 15.7 (95% CI, 15.0-16.4) in lower-middle-income countries, and it was highest in low-income countries (19.1 [95% CI, 17.6-20.7]). Hospitalization rates were more frequent than death rates in high-income countries (ratio = 3.8) and in upper-middle-income countries (ratio = 2.4), similar in lower-middle-income countries (ratio = 1.1), and less frequent in low-income countries (ratio = 0.6). The 30-day case-fatality rate after first hospital admission was lowest in high-income countries (6.7%), followed by upper-middle-income countries (9.7%), then lower-middle-income countries (21.1%), and highest in low-income countries (31.6%). The proportional risk of death within 30 days of a first hospital admission was 3- to 5-fold higher in lower-middle-income countries and low-income countries compared with high-income countries after adjusting for patient characteristics and use of long-term HF therapies. Conclusions and Relevance: This study of HF patients from 40 different countries and derived from 4 different economic levels demonstrated differences in HF etiologies, management, and outcomes. These data may be useful in planning approaches to improve HF prevention and treatment globally.

Myeloperoxidase Inhibition Reverses Biomarker Profiles Associated With Clinical Outcomes in HFpEF.

BACKGROUND: Systemic microvascular dysfunction and inflammation are postulated to play a pathophysiologic role in heart failure with preserved ejection fraction (HFpEF). OBJECTIVES: This study aimed to identify biomarker profiles associated with clinical outcomes in HFpEF and investigate how inhibition of the neutrophil-derived reactive oxygen species-producing enzyme, myeloperoxidase, affects these biomarkers. METHODS: Using supervised principal component analyses, the investigators assessed the associations between baseline plasma proteomic Olink biomarkers and clinical outcomes in 3 independent observational HFpEF cohorts (n = 86, n = 216, and n = 242). These profiles were then compared with the biomarker profiles discriminating patients treated with active drug vs placebo in SATELLITE (Safety and Tolerability Study of AZD4831 in Patients With Heart Failure), a double-blind randomized 3-month trial evaluating safety and tolerability of the myeloperoxidase inhibitor AZD4831 in HFpEF (n = 41). Pathophysiological pathways were inferred from the biomarker profiles by interrogation of the Ingenuity Knowledge Database. RESULTS: TNF-R1, TRAIL-R2, GDF15, U-PAR, and ADM were the top individual biomarkers associated with heart failure hospitalization or death, and FABP4, HGF, RARRES2, CSTB, and FGF23 were associated with lower functional capacity and poorer quality of life. AZD4831 downregulated many markers (most significantly CDCP1, PRELP, CX3CL1, LIFR, VSIG2). There was remarkable consistency among pathways associated with clinical outcomes in the observational HFpEF cohorts, the top canonical pathways being associated with tumor microenvironments, wound healing signaling, and cardiac hypertrophy signaling. These pathways were predicted to be downregulated in AZD4831 relative to placebo-treated patients. CONCLUSIONS: Biomarker pathways that were most strongly associated with clinical outcomes were also the ones reduced by AZD4831. These results support the further investigation of myeloperoxidase inhibition in HFpEF.

Hyponatraemia and changes in natraemia during hospitalization for acute heart failure and associations with in-hospital and long-term outcomes - from the ESC-HFA EORP Heart Failure Long-Term Registry.

AIMS: To comprehensively assess hyponatraemia in acute heart failure (AHF) regarding prevalence, associations, hospital course, and post-discharge outcomes. METHODS AND RESULTS: Of 8298 patients in the European Society of Cardiology Heart Failure Long-Term Registry hospitalized for AHF with any ejection fraction, 20% presented with hyponatraemia (serum sodium <135 mmol/L). Independent predictors included lower systolic blood pressure, estimated glomerular filtration rate (eGFR) and haemoglobin, along with diabetes, hepatic disease, use of thiazide diuretics, mineralocorticoid receptor antagonists, digoxin, higher doses of loop diuretics, and non-use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers and beta-blockers. In-hospital death occurred in 3.3%. The prevalence of hyponatraemia and in-hospital mortality with different combinations were: 9% hyponatraemia both at admission and discharge (hyponatraemia Yes/Yes, in-hospital mortality 6.9%), 11% Yes/No (in-hospital mortality 4.9%), 8% No/Yes (in-hospital mortality 4.7%), and 72% No/No (in-hospital mortality 2.4%). Correction of hyponatraemia was associated with improvement in eGFR. In-hospital development of hyponatraemia was associated with greater diuretic use and worsening eGFR but also more effective decongestion. Among hospital survivors, 12-month mortality was 19% and adjusted hazard ratios (95% confidence intervals) were for hyponatraemia Yes/Yes 1.60 (1.35-1.89), Yes/No 1.35 (1.14-1.59), and No/Yes 1.18 (0.96-1.45). For death or heart failure hospitalization they were 1.38 (1.21-1.58), 1.17 (1.02-1.33), and 1.09 (0.93-1.27), respectively. CONCLUSION: Among patients with AHF, 20% had hyponatraemia at admission, which was associated with more advanced heart failure and normalized in half of patients during hospitalization. Admission hyponatraemia (possibly dilutional), especially if it did not resolve, was associated with worse in-hospital and post-discharge outcomes. Hyponatraemia developing during hospitalization (possibly depletional) was associated with lower risk.

Long-term outcomes in heart failure with preserved ejection fraction: Predictors of cardiac and non-cardiac mortality.

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.].