Longitudinal NT-proBNP: Associations With Echocardiographic Changes and Outcomes in Heart Failure

BACKGROUND

The relationship of serial NT-proBNP (N-terminal pro-B-type natriuretic peptide) measurements with changes in cardiac features and outcomes in heart failure (HF) remains incompletely understood. We determined whether common clinical covariates impact these relationships.

METHODS AND RESULTS

In 2 nationwide observational populations with HF, the relationship of serial NT-proBNP measurements with serial echocardiographic parameters and outcomes was analyzed, further stratified by HF with reduced versus preserved left ventricular ejection fraction, inpatient versus outpatient enrollment, age, obesity, chronic kidney disease, atrial fibrillation, and attainment of ≥50% guideline-recommended doses of renin-angiotensin system inhibitors and β-blockers. Among 1911 patients (mean±SD age, 65.1±13.4 years; 26.6% women; 62% inpatient and 38% outpatient), NT-proBNP declined overall, with more rapid declines among inpatients, those with obesity, those with atrial fibrillation, and those attaining ≥50% guideline-recommended doses. Each doubling of NT-proBNP was associated with increases in left ventricular volume (by 6.1 mL), E/e' (transmitral to mitral annular early diastolic velocity ratio) (by 1.4 points), left atrial volume (by 3.6 mL), and reduced left ventricular ejection fraction (by -2.1%). The effect sizes of these associations were lower among patients with HF with preserved ejection fraction, atrial fibrillation, or advanced age (Pinteraction<0.001). A landmark analysis identified that an SD increase in NT-proBNP over 6 months was associated with a 27% increase in the risk of the composite event of HF hospitalization or all-cause death between 6 months and 2 years (adjusted hazard ratio, 1.27 [95% CI, 1.15-1.40]; P<0.001).

CONCLUSIONS

The relationships between NT-proBNP and structural/functional remodeling differed by age, presence of atrial fibrillation, and HF phenotypes. The association of increased NT-proBNP with increased risk of adverse outcomes was consistent in all subgroups.

Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence

BACKGROUND

Increasing patient loads, healthcare inflation and ageing population have put pressure on the healthcare system. Artificial intelligence and machine learning innovations can aid in task shifting to help healthcare systems remain efficient and cost effective. To gain an understanding of patients' acceptance toward such task shifting with the aid of AI, this study adapted the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), looking at performance and effort expectancy, facilitating conditions, social influence, hedonic motivation and behavioural intention.

METHODS

This was a cross-sectional study which took place between September 2021 to June 2022 at the National Heart Centre, Singapore. One hundred patients, aged ≥ 21 years with at least one heart failure symptom (pedal oedema, New York Heart Association II-III effort limitation, orthopnoea, breathlessness), who presented to the cardiac imaging laboratory for physician-ordered clinical echocardiogram, underwent both echocardiogram by skilled sonographers and the experience of echocardiogram by a novice guided by AI technologies. They were then given a survey which looked at the above-mentioned constructs using the UTAUT2 framework.

RESULTS

Significant, direct, and positive effects of all constructs on the behavioral intention of accepting the AI-novice combination were found. Facilitating conditions, hedonic motivation and performance expectancy were the top 3 constructs. The analysis of the moderating variables, age, gender and education levels, found no impact on behavioral intention.

CONCLUSIONS

These results are important for stakeholders and changemakers such as policymakers, governments, physicians, and insurance companies, as they design adoption strategies to ensure successful patient engagement by focusing on factors affecting the facilitating conditions, hedonic motivation and performance expectancy for AI technologies used in healthcare task shifting.

Treatment effects of empagliflozin in hospitalized heart failure patients across the range of left ventricular ejection fraction - Results from the EMPULSE trial

AIM

The EMPULSE (EMPagliflozin in patients hospitalised with acUte heart faiLure who have been StabilizEd) trial showed that, compared to placebo, the sodium-glucose cotransporter 2 inhibitor empagliflozin (10 mg/day) improved clinical outcomes of patients hospitalized for acute heart failure (HF). We investigated whether efficacy and safety of empagliflozin were consistent across the spectrum of left ventricular ejection fraction (LVEF).

METHODS AND RESULTS

A total of 530 patients hospitalized for acute de novo or decompensated HF were included irrespective of LVEF. For the present analysis, patients were classified as HF with reduced (HFrEF, LVEF ≤40%), mildly reduced (HFmrEF, LVEF 41-49%) or preserved (HFpEF, LVEF ≥50%) ejection fraction at baseline. The primary endpoint was a hierarchical outcome of death, worsening HF events (HFE) and quality of life over 90 days, assessed by the win ratio. Secondary endpoints included individual components of the primary endpoint and safety. Out of 523 patients with baseline data, 354 (67.7%) had HFrEF, 54 (10.3%) had HFmrEF and 115 (22.0%) had HFpEF. The clinical benefit (hierarchical composite of all-cause death, HFE and Kansas City Cardiomyopathy Questionnaire total symptom score) of empagliflozin at 90 days compared to placebo was consistent across LVEF categories (≤40%: win ratio 1.35 [95% confidence interval 1.04, 1.75]; 41-49%: win ratio 1.25 [0.66, 2.37)] and ≥50%: win ratio 1.40 [0.87, 2.23], pinteraction = 0.96) with a favourable safety profile. Results were consistent across individual components of the hierarchical primary endpoint.

CONCLUSION

The clinical benefit of empagliflozin proved consistent across LVEF categories in the EMPULSE trial. These results support early in-hospital initiation of empagliflozin regardless of LVEF.

Toward a Universal Definition of Etiologies in Heart Failure: Categorizing Causes and Advancing Registry Science

Heart failure (HF) is a well-described final common pathway for a broad range of diseases however substantial confusion exists regarding how to describe, study, and track these underlying etiologic conditions. We describe (1) the overlap in HF etiologies, comorbidities, and case definitions as currently used in HF registries led or managed by members of the global HF roundtable; (2) strategies to improve the quality of evidence on etiologies and modifiable risk factors of HF in registries; and (3) opportunities to use clinical HF registries as a platform for public health surveillance, implementation research, and randomized registry trials to reduce the global burden of noncommunicable diseases. Investment and collaboration among countries to improve the quality of evidence in global HF registries could contribute to achieving global health targets to reduce noncommunicable diseases and overall improvements in population health.

Implementing focused echocardiography and AI-supported analysis in a population-based survey in Lesotho: implications for community-based cardiovascular disease care models

In settings where access to expert echocardiography is limited, focused echocardiography, combined with artificial intelligence (AI)-supported analysis, may improve diagnosis and monitoring of left ventricular hypertrophy (LVH). Sixteen nurses/nurse-assistants without prior experience in echocardiography underwent a 2-day hands-on intensive training to learn how to assess parasternal long axis views (PLAX) using an inexpensive hand-held ultrasound device in Lesotho, Southern Africa. Loops were stored on a cloud-drive, analyzed using deep learning algorithms at the University Hospital Basel, and afterwards confirmed by a board-certified cardiologist. The nurses/nurse-assistants obtained 756 echocardiograms. Of the 754 uploaded image files, 628 (83.3%) were evaluable by deep learning algorithms. Of those, results of 514/628 (81.9%) were confirmed by a cardiologist. Of the 126 not evaluable by the AI algorithm, 46 (36.5%) were manually evaluable. Overall, 660 (87.5%) uploaded files were evaluable and confirmed. Following short-term training of nursing cadres, a high proportion of obtained PLAX was evaluable using AI-supported analysis. This could be a basis for AI- and telemedical support in hard-to-reach areas with minimal resources.

Nurse-led home-based detection of cardiac dysfunction by ultrasound: results of the CUMIN pilot study

Aims

Access to echocardiography is a significant barrier to heart failure (HF) care in many low- and middle-income countries. In this study, we hypothesized that an artificial intelligence (AI)-enhanced point-of-care ultrasound (POCUS) device could enable the detection of cardiac dysfunction by nurses in Tunisia.

Methods and results

This CUMIN study was a prospective feasibility pilot assessing the diagnostic accuracy of home-based AI-POCUS for HF conducted by novice nurses compared with conventional clinic-based transthoracic echocardiography (TTE). Seven nurses underwent a one-day training program in AI-POCUS. A total of 94 patients without a previous HF diagnosis received home-based AI-POCUS, POC N-terminal pro-B-type natriuretic peptide (NT-proBNP) testing, and clinic-based TTE. The primary outcome was the sensitivity of AI-POCUS in detecting a left ventricular ejection fraction (LVEF) <50% or left atrial volume index (LAVI) >34 mL/m2, using clinic-based TTE as the reference. Out of seven nurses, five achieved a minimum standard to participate in the study. Out of the 94 patients (60% women, median age 67), 16 (17%) had an LVEF < 50% or LAVI > 34 mL/m2. AI-POCUS provided an interpretable LVEF in 75 (80%) patients and LAVI in 64 (68%). The only significant predictor of an interpretable LVEF or LAVI proportion was the nurse operator. The sensitivity for the primary outcome was 92% [95% confidence interval (CI): 62-99] for AI-POCUS compared with 87% (95% CI: 60-98) for NT-proBNP > 125 pg/mL, with AI-POCUS having a significantly higher area under the curve (P = 0.040).

Conclusion

The study demonstrated the feasibility of novice nurse-led home-based detection of cardiac dysfunction using AI-POCUS in HF patients, which could alleviate the burden on under-resourced healthcare systems.

Distinguishing heart failure with reduced ejection fraction from heart failure with preserved ejection fraction: A phenomics approach

AIM

Pathophysiological differences between patients with heart failure with preserved (HFpEF) and reduced (HFrEF) ejection fraction (EF) remain unclear. Therefore we used a phenomics approach, integrating selected proteomics data with patient characteristics and cardiac structural and functional parameters, to get insight into differential pathophysiological mechanisms and identify potential treatment targets.

METHODS AND RESULTS

We report data from a representative subcohort of the prospective Singapore Heart Failure Outcomes and Phenotypes (SHOP), including patients with HFrEF (EF <40%, n = 217), HFpEF (EF ≥50%, n = 213), and age- and sex-matched controls without HF (n = 216). We measured 92 biomarkers using a proximity extension assay and assessed cardiac structure and function in all participants using echocardiography. We used multi-block projection to latent structure analysis to integrate clinical, echocardiographic, and biomarker variables. Candidate biomarker targets were cross-referenced with small-molecule and drug databases. The total cohort had a median age of 65 years (interquartile range 60-71), and 50% were women. Protein profiles strongly discriminated patients with HFrEF (area under the curve [AUC] = 0.89) and HFpEF (AUC = 0.94) from controls. Phenomics analyses identified unique druggable inflammatory markers in HFpEF from the tumour necrosis factor receptor superfamily (TNFRSF), which were positively associated with hypertension, diabetes, and increased posterior and relative wall thickness. In HFrEF, interleukin (IL)-8 and IL-6 were possible targets related to lower EF and worsening renal function.

CONCLUSION

We identified pathophysiological mechanisms related to increased cardiac wall thickness parameters and potentially druggable inflammatory markers from the TNFRSF in HFpEF.

Clinical characteristics and prognosis of patients with heart failure and high concentrations of interleukin-17D

AIMS

Heart failure (HF) is associated with cytokine activation and inflammation. Experimental evidence suggests that plasma interleukin-17 (IL-17) is associated with myocardial fibrosis and cardiac dysfunction in HF. IL-17D, a subtype of IL-17 originates from particular tissues such as the heart. However, there is very limited data on the IL-17 cytokine family in patients with HF. Therefore, we investigated the association between circulating IL-17D levels, clinical characteristics and outcome in a large cohort of patients with heart failure.

METHODS AND RESULTS

Plasma IL-17D was measured in 2032 patients with HF from 11 European countries using a proximity extension assay. The primary outcome was a composite of HF hospitalization or all-cause mortality. Patients with higher plasma IL-17D concentrations were more likely to have atrial fibrillation (AF), renal dysfunction and heart failure with preserved ejection fraction (HFpEF) and had higher plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) concentrations (all p < 0.001). IL-17D was not associated with interleukin-6 (IL-6) or C-reactive protein (CRP) concentrations. After adjustment for confounders in a multivariable Cox regression analysis, patients in the highest quartile of plasma IL-17D had a significantly increased risk of the composite outcome of HF hospitalization or all-cause mortality compared to patients in the lowest quartile [Hazard ratio (HR) 1.28, 95% confidence interval (CI) 1.05-1.57].

CONCLUSION

In patients with HF, elevated plasma IL-17D concentrations are associated with higher plasma NT-proBNP concentrations and a higher prevalence of AF and renal dysfunction. High IL-17D concentrations are independently associated with worse outcome.

Incidence and Long-Term Outcomes of Acute Myocardial Infarction Among Survivors of Out-of-Hospital Cardiac Arrest

BACKGROUND

Despite the increasing long-term survival after out-of-hospital cardiac arrest (OHCA), the risk of subsequent acute myocardial infarction (AMI) remains poorly understood. We aimed to determine the incidence, predictors, and long-term outcomes of AMI among survivors of OHCA.

METHODS AND RESULTS

We assembled a retrospective cohort of 882 patients with OHCA who survived to 30 days or discharge from the hospital between 2010 and 2019. Survivors of OHCA had an increased risk of subsequent AMI, defined as AMI occurring 30 days after index OHCA or following discharge from the hospital after OHCA, compared with the general population when matched for age and sex (standardized incidence ratio, 4.64 [95% CI, 3.52-6.01]). Age-specific risks of subsequent AMI for men (standardized incidence ratio, 3.29 [95% CI, 2.39-4.42]) and women (standardized incidence ratio, 6.15 [95% CI, 3.27-10.52]) were significantly increased. A total of 7.2%, 8.3%, and 14.3% of survivors of OHCA had a subsequent AMI at 3 years, 5 years, and end of follow-up, respectively. Age at OHCA (hazard ratio [HR], 1.04 [95% CI, 1.02-1.06]) and past medical history of prior AMI, defined as any AMI preceding or during the index OHCA event (HR, 1.84 [95% CI, 1.05-3.22]), were associated with subsequent AMI, while an initial shockable rhythm was not (HR, 1.00 [95% CI, 0.52-1.94]). Survivors of OHCA with subsequent AMI had a higher risk of death (HR, 1.58 [95% CI, 1.12-2.22]) than those without.

CONCLUSIONS

Survivors of OHCA are at an increased risk of subsequent AMI compared with the general population. Prior AMI, but not an initial shockable rhythm, increases this risk, while subsequent AMI predicts death. Preventive measures for AMI including cardiovascular risk factor control and revascularization may thus improve outcomes in selected patients with cardiac pathogenesis.

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.

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.

Multimorbidity in patients with acute heart failure across world regions and country income levels (REPORT-HF): a prospective, multicentre, global cohort study

BACKGROUND

Multimorbidity (two or more comorbidities) is common among patients with acute heart failure, but comprehensive global information on its prevalence and clinical consequences across different world regions and income levels is scarce. This study aimed to investigate the prevalence of multimorbidity and its effect on pharmacotherapy and prognosis in participants of the REPORT-HF study.

METHODS

REPORT-HF was a prospective, multicentre, global cohort study that enrolled adults (aged ≥18 years) admitted to hospital with a primary diagnosis of acute heart failure from 358 hospitals in 44 countries on six continents. Patients who currently or recently participated in a clinical treatment trial were excluded. Follow-up data were collected at 1-year post-discharge. The primary outcome was 1-year post-discharge mortality. All patients in the REPORT-HF cohort with full data on comorbidities were eligible for the present study. We stratified patients according to the number of comorbidities, and countries by world region and country income level. We used one-way ANOVA, χ2 test, or Mann-Whitney U test for comparisons between groups, as applicable, and Cox regression to analyse the association between multimorbidity and 1-year mortality.

FINDINGS

Between July 23, 2014, and March 24, 2017, 18 553 patients were included in the REPORT-HF study. Of these, 18 528 patients had full data on comorbidities, of whom 11 360 (61%) were men and 7168 (39%) were women. Prevalence rates of multimorbidity were lowest in southeast Asia (72%) and highest in North America (92%). Fewer patients from lower-middle-income countries had multimorbidity than patients from high-income countries (73% vs 85%, p<0·0001). With increasing comorbidity burden, patients received fewer guideline-directed heart failure medications, yet more drugs potentially causing or worsening heart failure. Having more comorbidities was associated with worse outcomes: 1-year mortality increased from 13% (no comorbidities) to 26% (five or more comorbidities). This finding was independent of common baseline risk factors, including age and sex. The population-attributable fraction of multimorbidity for mortality was higher in high-income countries than in upper-middle-income or lower-middle-income countries (for patients with five or more comorbidities: 61% vs 27% and 31%, respectively).

INTERPRETATION

Multimorbidity is highly prevalent among patients with acute heart failure across world regions, especially in high-income countries, and is associated with higher mortality, less prescription of guideline-directed heart failure pharmacotherapy, and increased use of potentially harmful medications.

FUNDING

Novartis Pharma.

TRANSLATIONS

For the Arabic, French, German, Hindi, Mandarin, Russian and Spanish translations of the abstract see Supplementary Materials section.

Proteomic Profiling in Patients With Peripartum Cardiomyopathy: A Biomarker Study of the ESC EORP PPCM Registry

BACKGROUND

Peripartum cardiomyopathy (PPCM) remains an important cause of maternal morbidity and mortality globally. The pathophysiology remains incompletely understood, and the diagnosis is often missed or delayed.

OBJECTIVES

This study explored the serum proteome profile of patients with newly diagnosed PPCM, as compared with matched healthy postpartum mothers, to unravel novel protein biomarkers that would further an understanding of the pathogenesis of PPCM and improve diagnostic precision.

METHODS

Study investigators performed untargeted serum proteome profiling using data-independent acquisition-based label-free quantitative liquid chromatography-tandem mass spectrometry on 84 patients with PPCM, as compared with 29 postpartum healthy controls (HCs). Significant changes in protein intensities were determined with nonpaired Student's t-tests and were further classified by using the Boruta algorithm. The proteins' diagnostic performance was evaluated by area under the curve (AUC) and validated using the 10-fold cross-validation.

RESULTS

Patients with PPCM presented with a mean left ventricular ejection fraction of 33.5% ± 9.3% vs 57.0% ± 8.8% in HCs (P < 0.001). Study investigators identified 15 differentially up-regulated and 14 down-regulated proteins in patients with PPCM compared with HCs. Seven of these proteins were recognized as significant by the Boruta algorithm. The combination of adiponectin, quiescin sulfhydryl oxidase 1, inter-α-trypsin inhibitor heavy chain, and N-terminal pro-B-type natriuretic peptide had the best diagnostic precision (AUC: 0.90; 95% CI: 0.84-0.96) to distinguish patients with PPCM from HCs.

CONCLUSIONS

Salient biologic themes related to immune response proteins, inflammation, fibrosis, angiogenesis, apoptosis, and coagulation were predominant in patients with PPCM compared with HCs. These newly identified proteins warrant further evaluation to establish their role in the pathogenesis of PPCM and potential use as diagnostic markers.

Multiomics Analysis Provides Novel Pathways Related to Progression of Heart Failure

BACKGROUND

Despite 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.

OBJECTIVES

We 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.

METHODS

We 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.

RESULTS

The 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.

CONCLUSIONS

A 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.

Examining predictors for 6-month mortality and healthcare utilization for patients admitted for heart failure in the acute care setting

BACKGROUND

Acute heart failure (AHF) is a leading cause of mortality and hospitalization. Past studies reported increased healthcare spending in the last year of life in high-income countries, and this has been characterized as inappropriate healthcare resource utilization. The study aimed to examine potentially (in)appropriate healthcare utilization by comparing healthcare utilization patterns across predicted and observed 6-month mortality among patients admitted for HF.

METHODS

We conducted a retrospective cohort study among patients presenting at the emergency department (ED) of a tertiary hospital with HF as primary diagnosis and admitted after their ED discharge. We used LASSO Cox proportional hazards models to predict 6-month mortality, and estimated healthcare utilization patterns of predicted and observed mortality across inpatient healthcare services.

RESULTS

3946 patients were admitted into the emergency department with a primary diagnosis of HF. From 57 candidate variables, 17 were retained in the final 6- month mortality model (C-statistic 0.66). Patients who died within 6-months of ED admission had longer length of stay (LOS) and less inpatient surgeries than those who survived. Patients with a greater predicted mortality risk were admitted to the ICU more often and had a longer LOS than those with a lower predicted mortality risk.

CONCLUSIONS

There were significant differences in healthcare resource utilization in patients admitted for AHF across predicted versus actual mortality. Lack of information on patients' preferences prevents the estimation of (in)appropriateness. Future studies should account for these considerations to estimate inappropriate healthcare utilization among these patients.

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.

Mineralocorticoid receptor antagonist use and the effects of empagliflozin on clinical outcomes in patients admitted for acute heart failure: Findings from EMPULSE

AIMS

In patients hospitalized for acute heart failure (AHF) empagliflozin produced greater clinical benefit than placebo. Many patients with AHF are treated with mineralocorticoid receptor antagonists (MRAs). The interplay between empagliflozin and MRAs in AHF is yet to be explored. This study aimed to evaluate the efficacy and safety of empagliflozin versus placebo according to MRA use at baseline in the EMPULSE trial (NCT04157751).

METHODS AND RESULTS

In this analysis all comparisons were performed between empagliflozin and placebo, stratified by baseline MRA use. The primary outcome included all-cause death, heart failure events, and a ≥5 point difference in Kansas City Cardiomyopathy Questionnaire (KCCQ) total symptom score at 90 days, assessed using the win ratio (WR). First heart failure hospitalization or cardiovascular death was a secondary outcome. From the 530 patients randomized, 276 (52%) were receiving MRAs at baseline. MRA users were younger, had lower ejection fraction, better renal function, and higher KCCQ scores. The primary outcome showed benefit of empagliflozin irrespective of baseline MRA use (WR 1.46, 95% confidence interval [CI] 1.08-1.97 and WR 1.27, 95% CI 0.93-1.73 in MRA users and non-users, respectively; interaction p = 0.52). The effect of empagliflozin on first heart failure hospitalization or cardiovascular death was not modified by MRA use (hazard ratio [HR] 0.58, 95% CI 0.30-1.11 and HR 0.85, 95% CI 0.47-1.52 in MRA users and non-users, respectively; interaction p = 0.39). Investigator-reported and severe hyperkalaemia events were infrequent (<6%) irrespective of MRA use.

CONCLUSIONS

In patients admitted for AHF, initiation of empagliflozin produced clinical benefit and was well tolerated irrespective of background MRA use. These findings support the early use of empagliflozin on top of MRA therapy in patients admitted for AHF.

Global Variations According to Sex in Patients Hospitalized for Heart Failure in the REPORT-HF Registry

BACKGROUND

Previous reports suggest that risk factors, management, and outcomes of acute heart failure (AHF) may differ by sex, but they rarely extended analysis to low- and middle-income countries.

OBJECTIVES

In this study, the authors sought to analyze sex differences in treatment and outcomes in patients hospitalized for AHF in 44 countries.

METHODS

The authors investigated differences between men and women in treatment and outcomes in 18,553 patients hospitalized for AHF in 44 countries in the REPORT-HF (Registry to Assess Medical Practice With Longitudinal Observation for the Treatment of Heart Failure) registry stratified by country income level, income disparity, and world region. The primary outcome was 1-year all-cause mortality.

RESULTS

Women (n = 7,181) were older than men (n = 11,372), were more likely to have heart failure with preserved left ventricular ejection fraction, had more comorbid conditions except for coronary artery disease, and had more severe signs and symptoms at admission. Coronary angiography, cardiac stress tests, and coronary revascularization were less frequently performed in women than in men. Women with AHF and reduced left ventricular ejection fraction were less likely to receive an implanted device, regardless of region or country income level. Women were more likely to receive treatments that could worsen HF than men (18% vs 13%; P < 0.0001). In countries with low-income disparity, women had better 1-year survival than men. This advantage was lost in countries with greater income disparity (Pinteraction < 0.001).

CONCLUSIONS

Women were less likely to have diagnostic testing or receive guideline-directed care than men. A survival advantage for women was observed only in countries with low income disparity, suggesting that equity of HF care between sexes remains an unmet goal worldwide.

Association Between Diabetes, Chronic Kidney Disease, and Outcomes in People With Heart Failure From Asia

Background

Diabetes mellitus (DM), chronic kidney disease (CKD), and heart failure (HF) are pathophysiologically linked and increasing in prevalence in Asian populations, but little is known about the interplay of DM and CKD on outcomes in HF.

Objectives

This study sought to investigate outcomes in patients with heart failure with preserved ejection fraction (HFpEF) vs heart failure with reduced ejection fraction (HFrEF) in relation to the presence of DM and CKD.

Methods

Using the multinational ASIAN-HF registry, we investigated associations between DM only, CKD only, and DM+CKD with: 1) composite of 1-year mortality or HF hospitalization; and 2) Kansas City Cardiomyopathy Questionnaire scores, according to HF subtype.

Results

In 5,239 patients with HF (74.6% HFrEF, 25.4% HFpEF; mean age 63 years; 29.1% female), 1,107 (21.1%) had DM only, 1,087 (20.7%) had CKD only, and 1,400 (26.7%) had DM+CKD. Compared with patients without DM nor CKD, DM+CKD was associated with 1-year all-cause mortality or HF hospitalization in HFrEF (adjusted HR: 2.07; 95% CI: 1.68-2.55) and HFpEF (HR: 2.37; 95% CI: 1.40-4.02). In HFrEF, DM only and CKD only were associated with 1-year all-cause mortality or HF hospitalization (both HRs: 1.43; 95% CI: 1.14-1.80), while in HFpEF, CKD only (HR: 2.54; 95% CI: 1.46-4.41) but not DM only (HR: 1.01; 95% CI: 0.52-1.95) was associated with increased risk (interaction P < 0.01). Adjusted Kansas City Cardiomyopathy Questionnaire scores were lower in patients with DM+CKD (HFrEF: mean 60.50, SEM 0.77, HFpEF: mean 70.10, SEM 1.06; P < 0.001) than with no DM or CKD (HFrEF: mean 66.00, SEM 0.65; and HFpEF: mean 75.80, SEM 0.99).

Conclusions

Combined DM and CKD adversely effected outcomes independently of HF subtype, with CKD a consistent predictor of worse outcomes. Strategies to prevent and treat DM and CKD in HF are urgently required.

Trajectories of renal biomarkers and new-onset heart failure in the general population: Findings from the PREVEND study

AIMS

Renal dysfunction is one of the most critical risk factors for developing heart failure (HF). However, the association between repeated measures of renal function and incident HF remains unclear. Therefore, this study investigated the longitudinal trajectories of urinary albumin excretion (UAE) and serum creatinine and their association with new-onset HF and all-cause mortality.

METHODS AND RESULTS

Using group-based trajectory analysis, we estimated trajectories of UAE and serum creatinine in 6881 participants from the Prevention of Renal and Vascular End-stage Disease (PREVEND) study and their association with new-onset HF and all-cause death during the 11-years of follow-up. Most participants had stable low UAE or serum creatinine. Participants with persistently higher UAE or serum creatinine were older, more often men, and more often had comorbidities, such as diabetes, a previous myocardial infarction or dyslipidaemia. Participants with persistently high UAE had a higher risk of new-onset HF or all-cause mortality, whereas stable serum creatinine trajectories showed a linear association for new-onset HF and no association with all-cause mortality.

CONCLUSION

Our population-based study identified different but often stable longitudinal patterns of UAE and serum creatinine. Patients with persistently worse renal function, such as higher UAE or serum creatinine, were at a higher risk of HF or mortality.

Polypill Eligibility for Patients with Heart Failure with Reduced Ejection Fraction in the ASIAN-HF Registry: A Cross-Sectional Analysis

Background

The rates of guideline-directed medical therapy (GDMT) prescription for heart failure with reduced ejection fraction (HFrEF) in Asia remain sub-optimal. The primary objective of this study was to examine HFrEF polypill eligibility in the context of measured baseline prescription rates of individual components of GDMT among participants with HFrEF in Asia.

Methods

A retrospective analysis of 4,868 patients with HFrEF from the multi-national ASIAN-HF registry was performed, and 3,716 patients were included in the final, complete case analysis. Eligibility for a HFrEF polypill, upon which patients were grouped and characterized, was based on the following: left ventricular systolic dysfunction (LVEF < 40% on baseline echocardiography), systolic blood pressure ≥ 100 mm Hg, heart rate ≥ 50 beats/minute, eGFR ≥ 30 mL/min/1.73 m, and serum potassium ≤ 5.0 mEq/L. Regression analyses were performed to evaluate associations of the baseline sociodemographic factors with HFrEF polypill eligibility.

Results

Among 3,716 patients with HFrEF in the ASIAN-HF registry, 70.3% were eligible for a HFrEF polypill. HFrEF polypill eligibility was significantly higher than baseline rates of triple therapy prescription of GDMT across sex, all studied geographical regions, and income levels. Patients were more likely to be eligible for a HFrEF polypill if they were younger and male, with higher BMI and systolic blood pressure, and less likely to be eligible if they were from Japan and Thailand.

Conclusion

The majority of patients with HFrEF in ASIAN-HF were eligible for a HFrEF polypill and were not receiving conventional triple therapy. HFrEF polypills may be a feasible and scalable implementation strategy to help close the treatment gap among patients with HFrEF in Asia.

Patient-Reported Status and Heart Failure Outcomes in Asia by Sex, Ethnicity, and Socioeconomic Status

Background

In heart failure (HF), symptoms and health-related quality of life (HRQoL) are known to vary among different HF subgroups, but evidence on the association between changing HRQoL and outcomes has not been evaluated.

Objectives

The authors sought to investigate the relationship between changing symptoms, signs, and HRQoL and outcomes by sex, ethnicity, and socioeconomic status (SES).

Methods

Using the ASIAN-HF (Asian Sudden Cardiac Death in Heart Failure) Registry, we investigated associations between the 6-month change in a "global" symptoms and signs score (GSSS), Kansas City Cardiomyopathy Questionnaire overall score (KCCQ-OS), and visual analogue scale (VAS) and 1-year mortality or HF hospitalization.

Results

In 6,549 patients (mean age: 62 ± 13 years], 29% female, 27% HF with preserved ejection fraction), women and those in low SES groups had higher symptom burden but lower signs and similar KCCQ-OS to their respective counterparts. Malay patients had the highest GSSS (3.9) and lowest KCCQ-OS (58.5), and Thai/Filipino/others (2.6) and Chinese patients (2.7) had the lowest GSSS scores and the highest KCCQ-OS (73.1 and 74.6, respectively). Compared to no change, worsening of GSSS (>1-point increase), KCCQ-OS (≥10-point decrease) and VAS (>1-point decrease) were associated with higher risk of HF admission/death (adjusted HR: 2.95 [95% CI: 2.14-4.06], 1.93 [95% CI: 1.26-2.94], and 2.30 [95% CI: 1.51-3.52], respectively). Conversely, the same degrees of improvement in GSSS, KCCQ-OS, and VAS were associated with reduced rates (HR: 0.35 [95% CI: 0.25-0.49], 0.25 [95% CI: 0.16-0.40], and 0.64 [95% CI: 0.40-1.00], respectively). Results were consistent across all sex, ethnicity, and SES groups (interaction P > 0.05).

Conclusions

Serial measures of patient-reported symptoms and HRQoL are significant and consistent predictors of outcomes among different groups with HF and provide the potential for a patient-centered and pragmatic approach to risk stratification.

The win ratio method in heart failure trials: lessons learnt from EMPULSE

AIMS

The EMPULSE trial evaluated the clinical benefit of empagliflozin versus placebo using the stratified win ratio approach in 530 patients with acute heart failure (HF) after initial stabilization. We aim to elucidate how this method works and what it means, thereby giving guidance for use of the win ratio in future trials.

METHODS AND RESULTS

The primary trial outcome is a hierarchical composite of death, number of HF events, time to first HF event, or a ≥5-point difference in Kansas City Cardiomyopathy Questionnaire (KCCQ) total symptom score change at 90 days. In an overall (unstratified) analysis we show how comparison of all 265 x 265 patients pairs contribute to 'wins' for empagliflozin and placebo at all four levels of the hierarchy, leading to an unstratified win ratio of 1.38 (95% confidence interval [CI] 1.11-1.71; p = 0.0036). How such a win ratio should (and should not) be interpreted is then described. The more complex primary analysis using a stratified win ratio is then presented in detail leading to a very similar overall result. Win ratios for de novo acute HF and decompensated chronic HF patients were 1.29 and 1.39, respectively, their weighted combination yielding an overall stratified win ratio of 1.36 (95% CI 1.09-1.68) (p = 0.0054). Alternative ways of including HF events and KCCQ scores in the clinical hierarchy are presented, leading to recommendations for their use in future trials. Specifically, inclusion of both number of HF events and time-to-first HF event appears an unnecessary complication. Also, the use of a 5-point margin for KCCQ score paired comparisons is not statistically necessary.

CONCLUSIONS

The EMPULSE trial findings illustrate how deaths, clinical events and patient-reported outcomes can be integrated into a win ratio analysis strategy that yields clinically meaningful findings of patient benefit. This has implications for future trial designs that recognize the clinical priorities of patient evaluation and the need for efficient progress towards approval of new treatments.

Impact of left ventricular ejection fraction phenotypes on healthcare-resource utilization in hospitalized heart failure: A secondary analysis of REPORT-HF

BACKGROUND

Evidence on healthcare resource utilization (HCRU) for hospitalized patients with heart failure (HF) and reduced (HFrEF), mildly-reduced (HFmrEF) and preserved (HFpEF) left ventricular ejection fraction (LVEF) is limited.

METHODS

We analysed HCRU in relation to LVEF phenotypes, clinical features and in-hospital and 12-month outcomes in 16,943 patients hospitalized for HF in a worldwide registry.

RESULTS

HFrEF was more prevalent (53%) than HFmrEF (17%) or HFpEF (30%). Patients with HFmrEF and HFpEF were older, more often women, with milder symptoms and more comorbidities, but differences were not pronounced. HCRU was high in all three groups; 2 or more in- and out-hospital services were required by 51%, 49% and 52% of patients with HFrEF, HFmrEF and HFpEF, respectively, and ICU by 41%, 41% and 37%, respectively.Hospitalization length was similar (median, 8 days). Discharge prescription of neurohormonal inhibitors was <80% for each agent in HFrEF and only slightly lower in HFmrEF and HFpEF (74% and 67%, respectively for beta-blockers). Compared to HFrEF, 12-month all-cause and cardiovascular mortality were lower for HFmrEF [adjusted hazard ratios, 0.76 (0.68-0.84) and 0.77 (0.68-0.88)] and HFpEF [0.62 (0.56-0.68) and 0.60 (0.53-0.68)]; 12-month HF hospitalization was also lower for HFpEF and HFmrEF (21% and 20% versus 25% for HFrEF). In-hospital mortality, 12-month non-cardiovascular mortality and 12-month all-cause hospitalization were similar among groups.

CONCLUSIONS

In patients hospitalized for HF, overall HCRU was similarly high across LVEF spectrum, reflecting the subtle clinical differences among LVEF phenotypes during hospitalization. Discharge prescription of neurohormonal inhibitors were suboptimal in HFrEF and lower but significant in patients with HFpEF and HFmrEF, who had better long-term cardiovascular outcomes than HFrEF, but similar risk for non-cardiovascular events. This article is protected by copyright. All rights reserved.

Chronic kidney disease begets heart failure and vice versa: temporal associations between heart failure events in relation to incident chronic kidney disease in type 2 diabetes

AIM

To investigate the interplay of incident chronic kidney disease (CKD) and/or heart failure (HF) and their associations with prognosis in a large, population-based cohort with type 2 diabetes (T2DM).

METHODS

Patients aged ≥18 years with new-onset T2DM, without renal disease or HF at baseline, were identified from the territory-wide Clinical Data Analysis Reporting System between 2000 and 2015. Patients were followed up until December 31, 2020 for incident CKD and/or HF and all-cause mortality.

RESULTS

Among 102 488 patients (median age 66 years, 45.7% women, median follow-up 7.5 years), new-onset CKD occurred in 14 798 patients (14.4%), in whom 21.7% had HF. In contrast, among 9258 patients (9.0%) with new-onset HF, 34.6% had CKD. The median time from baseline to incident CKD or HF (4.4 vs. 4.1 years) did not differ. However, the median (interquartile range) time until incident HF after CKD diagnosis was 1.7 (0.5-3.6) years and was 1.2 (0.2-3.4) years for incident CKD after HF diagnosis (P < 0.001). The crude incidence of CKD was higher than that of HF: 17.6 (95% confidence interval [CI] 17.3-17.9) vs. 10.6 (95% CI 10.4-10.9)/1000 person-years, respectively, but incident HF was associated with a higher adjusted-mortality than incident CKD. The presence of either condition (vs. CKD/HF-free status) was associated with a three-fold hazard of death, whereas concomitant HF and CKD conferred a six to seven-fold adjusted hazard of mortality.

CONCLUSION

Cardiorenal complications are common and are associated with high mortality risk among patients with new-onset T2DM. Close surveillance of these dual complications is crucial to reduce the burden of disease.

Development and validation of echocardiography-based machine-learning models to predict mortality

BACKGROUND

Echocardiography (echo) based machine learning (ML) models may be useful in identifying patients at high-risk of all-cause mortality.

METHODS

We developed ML models (ResNet deep learning using echo videos and CatBoost gradient boosting using echo measurements) to predict 1-year, 3-year, and 5-year mortality. Models were trained on the Mackay dataset, Taiwan (6083 echos, 3626 patients) and validated in the Alberta HEART dataset, Canada (997 echos, 595 patients). We examined the performance of the models overall, and in subgroups (healthy controls, at risk of heart failure (HF), HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF)). We compared the models' performance to the MAGGIC risk score, and examined the correlation between the models' predicted probability of death and baseline quality of life as measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ).

FINDINGS

Mortality rates at 1-, 3- and 5-years were 14.9%, 28.6%, and 42.5% in the Mackay cohort, and 3.0%, 10.3%, and 18.7%, in the Alberta HEART cohort. The ResNet and CatBoost models achieved area under the receiver-operating curve (AUROC) between 85% and 92% in internal validation. In external validation, the AUROCs for the ResNet (82%, 82%, and 78%) were significantly better than CatBoost (78%, 73%, and 75%), for 1-, 3- and 5-year mortality prediction respectively, with better or comparable performance to the MAGGIC score. ResNet models predicted higher probability of death in the HFpEF and HFrEF (30%-50%) subgroups than in controls and at risk patients (5%-20%). The predicted probabilities of death correlated with KCCQ scores (all p < 0.05).

INTERPRETATION

Echo-based ML models to predict mortality had good internal and external validity, were generalizable, correlated with patients' quality of life, and are comparable to an established HF risk score. These models can be leveraged for automated risk stratification at point-of-care.

FUNDING

Funding for Alberta HEART was provided by an Alberta Innovates - Health Solutions Interdisciplinary Team Grant no. AHFMRITG 200801018. P.K. holds a Canadian Institutes of Health Research (CIHR) Sex and Gender Science Chair and a Heart & Stroke Foundation Chair in Cardiovascular Research. A.V. and V.S. received funding from the Mitacs Globalink Research Internship.

Phenomapping in heart failure with preserved ejection fraction: insights, limitations, and future directions

Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous entity with complex pathophysiology and manifestations. Phenomapping is the process of applying statistical learning techniques to patient data to identify distinct subgroups based on patterns in the data. Phenomapping has emerged as a technique with potential to improve the understanding of different HFpEF phenotypes. Phenomapping efforts have been increasing in HFpEF over the past several years using a variety of data sources, clinical variables, and statistical techniques. This review summarizes methodologies and key takeaways from these studies, including consistent discriminating factors and conserved HFpEF phenotypes. We argue that phenomapping results to date have had limited implications for clinical care and clinical trials, given that the phenotypes, as currently described, are not reliably identified in each study population and may have significant overlap. We review the inherent limitations of aggregating and utilizing phenomapping results. Lastly, we discuss potential future directions, including using phenomapping to optimize the likelihood of clinical trial success or to drive discovery in mechanisms of the disease process of HFpEF.

Titration of medications and outcomes in multi-ethnic heart failure cohorts (with reduced ejection fraction) from Singapore and New Zealand

AIMS

We investigated titration patterns of angiotensin-converting enzyme inhibitors (ACEis)/angiotensin receptor blockers (ARBs) and beta-blockers, quality of life (QoL) over 6 months, and associated 1 year outcome [all-cause mortality/heart failure (HF) hospitalization] in a real-world population with HF with reduced ejection fraction (HFrEF).

METHODS AND RESULTS

Participants with HFrEF (left ventricular ejection fraction <40%) from a prospective multi-centre study were examined for use and dose [relative to guideline-recommended maintenance dose (GRD)] of ACEis/ARBs and beta-blockers at baseline and 6 months. 'Stay low' was defined as <50% GRD at both time points, 'stay high' as ≥50% GRD, and 'up-titrate' and 'down-titrate' as dose trajectories. Among 1110 patients (mean age 63 ± 13 years, 16% women, 26% New York Heart Association Class III/IV), 714 (64%) were multi-ethnic Asians from Singapore and 396 were from New Zealand (mainly European ethnicity). Baseline use of either ACEis/ARBs or beta-blockers was high (87%). Loop diuretic was prescribed in >80% of patients, mineralocorticoid receptor antagonist in about half of patients, and statins in >90% of patients. At baseline, only 11% and 9% received 100% GRD for each drug class, respectively, with about half (47%) achieving ≥50% GRD for ACEis/ARBs or beta-blockers. At 6 months, a large majority remained in the 'stay low' category, one third remained in 'stay high', whereas 10-16% up-titrated and 4-6% down-titrated. Patients with lower (vs. higher) N-terminal pro-beta-type natriuretic peptide levels were more likely to be up-titrated or be in 'stay high' for ACEis/ARBs and beta-blockers (P = 0.002). Ischaemic aetiology, prior HF hospitalization, and enrolment in Singapore (vs. New Zealand) were independently associated with higher odds of 'staying low' (all P < 0.005) for prescribed doses of ACEis/ARBs and beta-blockers. Adjusted for inverse probability weighting, ≥100% GRD for ACEis/ARBs [hazard ratio (HR) = 0.42; 95% confidence interval (CI) 0.24-0.73] and ≥50% GRD for beta-blockers (HR = 0.58; 95% CI 0.37-0.90) (vs. Nil) were associated with lower hazards for 1 year composite outcome. Country of enrolment did not modify the associations of dose categories with 1 year composite outcome. Higher medication doses were associated with greater improvements in QoL.

CONCLUSIONS

Although HF medication use at baseline was high, most patients did not have these medications up-titrated over 6 months. Multiple clinical factors were associated with changes in medication dosages. Further research is urgently needed to investigate the causes of lack of up-titration of HF therapy (and its frequency), which could inform strategies for timely up-titration of HF therapy based on clinical and biochemical parameters.

Incidence, Clinical Correlates, and Prognostic Impact of Dementia in Heart Failure: A Population-Based Cohort Study

Background

Heart failure (HF) may increase the risk of dementia via shared risk factors.

Objectives

The authors investigated the incidence, types, clinical correlates, and prognostic impact of dementia in a population-based cohort of patients with index HF.

Methods

The previously territory-wide database was interrogated to identify eligible patients with HF (N = 202,121) from 1995 to 2018. Clinical correlates of incident dementia and their associations with all-cause mortality were assessed using multivariable Cox/competing risk regression models where appropriate.

Results

Among a total cohort aged ≥18 years with HF (mean age 75.3 ± 13.0 years, 51.3% women, median follow-up 4.1 [IQR: 1.2-10.2] years), new-onset dementia occurred in 22,145 (11.0%), with age-standardized incidence rate of 1,297 (95% CI: 1,276-1,318) per 10,000 in women and 744 (723-765) per 10,000 in men. Types of dementia were Alzheimer's disease (26.8%), vascular dementia (18.1%), and unspecified dementia (55.1%). Independent predictors of dementia included: older age (≥75 years, subdistribution hazard ratio [SHR]: 2.22), female sex (SHR: 1.31), Parkinson's disease (SHR: 1.28), peripheral vascular disease (SHR: 1.46), stroke (SHR: 1.24), anemia (SHR: 1.11), and hypertension (SHR: 1.21). The population attributable risk was highest for age ≥75 years (17.4%) and female sex (10.2%). New-onset dementia was independently associated with increased risk of all-cause mortality (adjusted SHR: 4.51; P < 0.001).

Conclusions

New-onset dementia affected more than 1 in 10 patients with index HF over the follow-up, and portended a worse prognosis in these patients. Older women were at highest risk and should be targeted for screening and preventive strategies.

Heart Failure and Multimorbidity in Asia

PURPOSE OF THE REVIEW

Multimorbidity, the presence of two or more comorbidities, is common in patients with heart failure (HF) and worsens clinical outcomes. In Asia, multimorbidity has become the norm rather than the exception. Therefore, we evaluated the burden and unique patterns of comorbidities in Asian patients with HF.

RECENT FINDINGS

Asian patients with HF are almost a decade younger than Western Europe and North American patients. However, over two in three patients have multimorbidity. Comorbidities usually cluster due to the close and complex links between chronic medical conditions. Elucidating these links may guide public health policies to address risk factors. In Asia, barriers in treating comorbidities at the patient, healthcare system and national level hamper preventative efforts. Asian patients with HF are younger yet have a higher burden of comorbidities than Western patients. A better understanding of the unique co-occurrence of medical conditions in Asia can improve the prevention and treatment of HF.

Blood pressure in heart failure management and prevention

Hypertension is a leading cause of heart failure and other cardiovascular diseases. Its role in the pathogenesis of heart failure with reduced ejection fraction (HFrEF) differs from that in heart failure with preserved ejection fraction (HFpEF). Moreover, rigorous blood pressure control may reduce the incidence of heart failure. However, once heart failure develops, prognosis is affected by blood pressure, which may differ between patients with and without heart failure. Therefore, the association between guideline-directed medical therapy (GDMT) for heart failure and its uptitration must be considered for blood pressure management and should not be overlooked. Heart failure medications affect the blood pressure and efficacy per baseline blood pressure value. This review discusses the potential mechanisms by which hypertension leads to HFrEF or HFpEF, the impact of hypertension on incident heart failure, and the recommended approaches for blood pressure management in patients with heart failure. Comparison between patients with and without heart failure regarding blood pressure The association between CV events and SBP is linear in patients without heart failure; however, it becomes J-shaped or inverse linear in those with heart failure. The management of BP, including optimal BP or pharmacotherapy, differs between the two populations. ACEi angiotensin-converting enzyme inhibitors, ARB angiotensin II receptor blockers; ARNi angiotensin receptor-neprilysin inhibitors, BB beta-blockers, BP blood pressure, CV cardiovascular, DASH Dietary Approaches to Stop Hypertension, GDMT guideline-directed medical therapy, HF heart failure, HFrEF heart failure with reduced ejection fraction, MRA mineralocorticoid receptor antagonists, SBP systolic blood pressure, SGLT2i sodium-glucose cotransporter 2 inhibitors.

Impact of empagliflozin on decongestion in acute heart failure: the EMPULSE trial

AIMS

Effective and safe decongestion remains a major goal for optimal management of patients with acute heart failure (AHF). The effects of the sodium-glucose cotransporter 2 inhibitor empagliflozin on decongestion-related endpoints in the EMPULSE trial (NCT0415775) were evaluated.

METHODS AND RESULTS

A total of 530 patients hospitalized for AHF were randomized 1:1 to either empagliflozin 10 mg once daily or placebo for 90 days. The outcomes investigated were: weight loss (WL), WL adjusted for mean daily loop diuretic dose (WL-adjusted), area under the curve of change from baseline in N-terminal pro-B-type natriuretic peptide levels, hemoconcentration, and clinical congestion score after 15, 30, and 90 days of treatment. Compared with placebo, patients treated with empagliflozin demonstrated significantly greater reductions in all studied markers of decongestion at all time-points, adjusted mean differences (95% confidence interval) at Days 15, 30, and 90 were: for WL -1.97 (-2.86, -1.08), -1.74 (-2.73, -0.74); -1.53 (-2.75, -0.31) kg; for WL-adjusted: -2.31 (-3.77, -0.85), -2.79 (-5.03, -0.54), -3.18 (-6.08, -0.28) kg/40 mg furosemide i.v. or equivalent; respectively (all P < 0.05). Greater WL at Day 15 (i.e. above the median WL in the entire population) was associated with significantly higher probability for clinical benefit at Day 90 (hierarchical composite of all-cause death, heart failure events, and a 5-point or greater difference in Kansas City Cardiomyopathy Questionnaire total symptom score change from baseline to 90 days) with the win ratio of 1.75 (95% confidence interval 1.37, 2.23; P < 0.0001).

CONCLUSION

Initiation of empagliflozin in patients hospitalized for AHF resulted in an early, effective and sustained decongestion which was associated with clinical benefit at Day 90.

Association of time-to-intravenous furosemide with mortality in acute heart failure: data from REPORT-HF

AIM

Acute heart failure can be a life-threatening medical condition. Delaying administration of intravenous furosemide (time-to-diuretics) has been postulated to increase mortality, but prior reports have been inconclusive. We aimed to evaluate the association between time-to-diuretics and mortality in the international REPORT-HF registry.

METHODS AND RESULTS

We assessed the association of time-to-diuretics within the first 24 h with in-hospital and 30-day post-discharge mortality in 15 078 patients from seven world regions in the REPORT-HF registry. We further tested for effect modification by baseline mortality risk (ADHERE risk score), left ventricular ejection fraction (LVEF) and region. The median time-to-diuretics was 67 (25th-75th percentiles 17-190) min. Women, patients with more signs and symptoms of heart failure, and patients from Eastern Europe or Southeast Asia had shorter time-to-diuretics. There was no significant association between time-to-diuretics and in-hospital mortality (p > 0.1). The 30-day mortality risk increased linearly with longer time-to-diuretics (administered between hospital arrival and 8 h post-hospital arrival) (p = 0.016). This increase was more significant in patients with a higher ADHERE risk score (p_interaction  = 0.008), and not modified by LVEF or geographic region (p_interaction  > 0.1 for both).

CONCLUSION

In REPORT-HF, longer time-to-diuretics was not associated with higher in-hospital mortality. However, we did found an association with increased 30-day mortality, particularly in high-risk patients, and irrespective of LVEF or geographic region.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT02595814.

Characteristics and clinical outcomes of patients with acute heart failure with a supranormal left ventricular ejection fraction

AIM

Recent data suggest that guideline-directed medical therapy of patients with heart failure (HF) with reduced ejection fraction (HFrEF) might improve clinical outcomes in patients with HF up to a left ventricular ejection fraction (LVEF) of 55-65%, whereas patients with higher LVEF do not seem to benefit. Recent data have shown that LVEF may have a U-shaped relation with outcome, with poorer outcome also in patients with supranormal values. This suggests that patients with supranormal LVEF may be a distinctive group of patients.

METHODS AND RESULTS

RELAX-AHF-2 was a multicentre, placebo-controlled trial on the effects of serelaxin on 180-day cardiovascular (CV) mortality and worsening HF at day 5 in patients with acute HF. Echocardiograms were performed at hospital admission in 6128 patients: 155 (2.5%) patients were classified as HF with supranormal ejection fraction (HFsnEF; LVEF >65%), 1440 (23.5%) as HF with preserved ejection fraction (HFpEF; LVEF 50-65%), 1353 (22.1%) as HF with mildly reduced ejection fraction (HFmrEF; LVEF 41-49%) and 3180 (51.9%) as HFrEF (LVEF <40%). Patients with HFsnEF compared to HFpEF were more often women, had higher prevalence of non-ischaemic HF, had lower levels of natriuretic peptides, were less likely to be treated with beta-blockers and had higher blood urea nitrogen plasma levels. All-cause mortality was not statistically different between groups, although patients with HFsnEF had the highest numerical rate. A declining trend was seen in the proportion of 180-day deaths due to CV causes from HFrEF (290/359, 80.8%) to HFsnEF (14/24, 58.3%). The reverse was observed with death from non-CV causes. No treatment effect of serelaxin was observed in any of the subgroups.

CONCLUSIONS

In this study, only 2.5% of patients were classified as HFsnEF. HFsnEF was primarily characterized by female sex, lower natriuretic peptides and a higher risk of non-CV death.

Patient-Reported Versus Physician-Assessed Health Status in Heart Failure With Reduced and Preserved Ejection Fraction From ASIAN-HF Registry

BACKGROUND

We aimed to assess if discordance between patient-reported Kansas City Cardiomyopathy Questionnaire (KCCQ)-overall summary (os) score and physician-assessed New York Heart Association (NYHA) class is common among patients with heart failure (HF) with reduced or preserved ejection fraction, and determine its association with outcomes.

METHODS

A total of 4818 patients with HF were classified according to KCCQ-os score (range 0-100, dichotomized by median value 71.9 into high [good] versus low [bad]) and NYHA class (I/II [good] or III/IV [bad]) as concordant good (low NYHA class, high KCCQ-os score), concordant bad (high NYHA class, low KCCQ-os score), discordant worse NYHA class (high NYHA class, high KCCQ-os score), and discordant worse KCCQ-os score (low NYHA class, low-KCCQ-os score). The composite of HF hospitalization or death at 1 year was compared across groups.

RESULTS

There were 2070 (43.0%) concordant good, 1099 (22.8%) concordant bad, 331 (6.9%) discordant worse NYHA class, and 1318 (27.4%) discordant worse KCCQ-os score patients. Compared with concordant good, adverse outcomes were the highest in concordant bad (HR, 2.7 [95% CI, 2.2-3.5]) followed by discordant worse KCCQ-os score (HR, 1.8 [95% CI, 1.4-2.2]) and discordant worse NYHA class (HR, 1.5 [95% CI, 1.0-2.3]); with no modification by HF phenotype (preserved versus reduced ejection fraction, P_interaction=0.52). At 6 months, 1403 (48%) experienced clinically significant improvement in KCCQ-os score (≥5 points increase over 6 months). Patients with improved KCCQ-os at 6 months (HR, 0.65 [95% CI, 0.47-0.92]) had better outcomes and the association was not modified by HF phenotype (P_interaction=0.40).

CONCLUSIONS

One-third of patients with HF had discordance between patient-reported and clinician-assessed health status, largely attributable to worse patient-reported outcomes. Such discordance, particularly in those with discordantly worse KCCQ, should alert physicians to an increased risk of HF hospitalization and death, and prompt further assessment for potential drivers of worse patient-reported outcomes relative to physicians' assessment.

Association of epicardial adipose tissue with proteomics, coronary flow reserve, cardiac structure and function, and quality of life in heart failure with preserved ejection fraction: insights from the PROMIS-HFpEF study

AIM

Epicardial adipose tissue (EAT) may play a role in the pathophysiology of heart failure with preserved ejection fraction (HFpEF). We investigated associations of EAT with proteomics, coronary flow reserve (CFR), cardiac structure and function, and quality of life (QoL) in the prospective multinational PROMIS-HFpEF cohort.

METHODS AND RESULTS

Epicardial adipose tissue was measured by echocardiography in 182 patients and defined as increased if ≥9 mm. Proteins were measured using high-throughput proximity extension assays. Microvascular dysfunction was evaluated with Doppler-based CFR, cardiac structural and functional indices with echocardiography and QoL by Kansas City Cardiomyopathy Questionnaire (KCCQ). Patients with increased EAT (n = 54; 30%) had higher body mass index (32 [28-40] vs. 27 [23-30] kg/m² ; p < 0.001), lower N-terminal pro-B-type natriuretic peptide (466 [193-1133] vs. 1120 [494-1990] pg/ml; p < 0.001), smaller indexed left ventricular (LV) end-diastolic and left atrial (LA) volumes and tendency to lower KCCQ score. Non-indexed LV/LA volumes did not differ between groups. When adjusted for body mass index, EAT remained associated with LV septal wall thickness (coefficient 1.02, 95% confidence interval [CI] 1.00-1.04; p = 0.018) and mitral E wave deceleration time (coefficient 1.03, 95% CI 1.01-1.05; p = 0.005). Increased EAT was associated with proteomic markers of adipose biology and inflammation, insulin resistance, endothelial dysfunction, and dyslipidaemia but not significantly with CFR.

CONCLUSION

Increased EAT was associated with cardiac structural alterations and proteins expressing adiposity, inflammation, lower insulin sensitivity and endothelial dysfunction related to HFpEF pathology, probably driven by general obesity. Potential local mechanical or paracrine effects mediated by EAT remain to be elucidated.

A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram

This study compares a deep learning interpretation of 23 echocardiographic parameters-including cardiac volumes, ejection fraction, and Doppler measurements-with three repeated measurements by core lab sonographers. The primary outcome metric, the individual equivalence coefficient (IEC), compares the disagreement between deep learning and human readers relative to the disagreement among human readers. The pre-determined non-inferiority criterion is 0.25 for the upper bound of the 95% confidence interval. Among 602 anonymised echocardiographic studies from 600 people (421 with heart failure, 179 controls, 69% women), the point estimates of IEC are all <0 and the upper bound of the 95% confidence intervals below 0.25, indicating that the disagreement between the deep learning and human measures is lower than the disagreement among three core lab readers. These results highlight the potential of deep learning algorithms to improve efficiency and reduce the costs of echocardiography.

Severe early-onset cardiomyopathy and poor prognosis observed in 73 patients with pathogenic KLHL24 variants

Background/Introduction

Pathogenic variants in KLHL24 might cause skin fragility or cardiomyopathy. KLHL24 controls desmin turnover and patients with heterozygous gain-of-function variants (HET-GOF; i.e. overactivity), typically born with epidermolysis bullosa simplex (EBS), can develop dilated cardiomyopathy (DCM), whereas patients with homozygous loss-of-function variants (HOM-LOF) can develop hypertrophic cardiomyopathy (HCM).

Purpose

This study aims to characterize the cardiac phenotype and prognosis of patients with pathogenic KLHL24 variants.

Methods

Observational studies on KLHL24 found in PUBMED were included in this analysis. Patients were stratified according to their genotype and the study outcomes were cardiomyopathy diagnosis and cardiovascular (CV) events. CV events were defined as sudden cardiac death (SCD), death from heart failure (HF) or heart transplantation (HTx). Kaplan-Meier (KM) curves were constructed to visualize the age at diagnosis and CV event free-survival. For the HET-GOF group, this analysis was stratified by sex and log-rank testing was used to test for significant differences in the distribution. To achieve between group balance, the sex-stratified KM curves were weighted for age and cohort.

Results

In total, 73 patients from 14 studies were included in this analysis and Figure 1A shows their geographic distribution. In general, patients have a median age [IQR] of 18 [7–33]), 53% were men, 38% were diagnosed with cardiomyopathy, and 84% were patients with HET-GOF variants. Patients with HOM-LOF variants have a median age of 27 [26–31] and 55% is male (Figure 1B). HOM-LOF variants c.917G&gt;A [p.(Arg306His)] and c.1048G&gt;T [p.(Glu350*)] segregated in 2 Middle Eastern families, reporting 11 patients born from seemingly unaffected consanguineous heterozygous parents. All HOM-LOF patients were diagnosed with HCM before the age of 32 (27, [26–31]; Figure 1C), resulting in 4 CV events (SCD n=3; HTx n=1; Figure 1D). Patients with HET-GOF variants have a median age of 14 [6–33] and 53% were men (Figure 1B). HET-GOF variants c.1A&gt;G, c.1A&gt;T, c.2T&gt;C, c.3G&gt;T, c.3G&gt;A and c.22A&gt;T [p.(Val2_Met29)] segregated with disease in 34 families, reporting 62 patients in 14 countries. All patients with HET-GOF had EBS at birth and 27% was diagnosed with DCM. The probability of diagnosis during lifetime was significantly different (p&lt;0.001, weighted p&lt;0.001) between men (25 [16–34], n=9) and women (45 [31–47], n=8; Figure 1E). In total, 7 CV events (SCD n=1; HF n=4; HTx n=2) were reported for patients with HET-GOF variants. Figure 1F shows the general differences in CV events between sexes (p=0.026, weighted p=0.073). The median age of CV events for men was 20 (n=4) and 54 for women (n=3).

Conclusions

Patients with HOM-LOF variants were diagnosed at an early age with a severe form of HCM. Men with HET-GOF variants were diagnosed with DCM earlier than women. Men also have a higher probability for CV events at a younger age than women.

Funding Acknowledgement

Type of funding sources: Public grant(s) – EU funding. Main funding source(s): European Research Counsel (ERC-2016-STG)

Exploratory proteome profiling in patients with peripartum cardiomyopathy – a biomarker study on the EORP cohort

Background

The diagnosis of peripartum cardiomyopathy (PPCM) remains challenging as heart failure symptoms may also occur during normal pregnancy. This is further aggravated by the absence of biomarkers specific for diagnosis or prognosis of women with PPCM. Indeed, current evidence from the EURObservational Research Programme (EORP) Registry, an ongoing prospective, international, multicentre, observational registry for women with PPCM, report that the time to diagnosis after symptom onset varies from 19.4 to 38.3 days.

Aims

We performed exploratory serum proteome profiling on patients with PPCM, as compared with healthy postpartum mothers, to uncover novel protein biomarkers that would further our understanding of the pathogenesis of the disease and enhance diagnostic evaluation.

Methods

Demographic and clinical data, as well as serum samples were collected from 84 patients with PPCM from seven EORP participating countries and 29 healthy controls (HC) from South Africa. Serum proteomic profiling was conducted using DIA-based label-free quantitative (LFQ) LC-MS at the time of diagnosis from depleted serum samples. Mass spectrometry data were analyzed by Spectronaut v15 using a study-specific spectral library. Proteomic statistical analysis was performed using Perseus version 2.0.3.0 (FDR=0.05; S=0.1).

Results

Patients with PPCM had advanced heart failure (50% had New York Heart Association functional classes III/IV, mean left ventricular ejection fraction [LVEF] of 33.5%±9.3 [vs 57.0±8.8 in HC, p&lt;0.001]). Amongst the 329 proteins that were identified in the serum samples, 17 proteins were significantly differentially upregulated and 18 downregulated in patients with PPCM as compared to the HC (all p&lt;0.05; Figure 1). Adiponectin (log fold change 1.378, p=0.001), pregnancy-specific beta-1-glycoprotein 1 (1.207, p=0.022), disintegrin metalloproteinase domain-containing protein 12 (1.185, p=0.039), peptidyl-prolyl cis-trans isomerase (1.182, p=0.031) and sulfhydryl oxidase 1 (1.101, p=0.004) were among the upregulated proteins, whilst immunoglobulin kappa variable 2–29 (0.856, p=0.029), ficolin-3 (0.898, p=0.001), platelet basic protein (0.917, p=0.006) and thrombospondin-1 (0.930, p=0.043) were among the downregulated. Gene ontology indicated that thrombospondin receptor activity, fibronectin-binding, and vascular endothelial growth factor receptor 2 binding among the most significant regulated molecular functions. The area under the curve (AUC) of the top 10 up-regulated biomarkers ranged from 0.61–0.68 (p&lt;0.05).

Conclusion

Salient biological themes related to immune response proteins, inflammation, fibrosis, angiogenesis, apoptosis, and blood coagulation were identified to be predominant in PPCM versus HC. This indicates the complex pathophysiological mechanisms of PPCM. The newly identified proteins warrant further studies to evaluate their potential use as diagnostic and prognostic markers for PPCM.

Funding Acknowledgement

Type of funding sources: Public grant(s) – EU funding. Main funding source(s): 1. EurObservational Research Programme in conjunction with the Heart Failure Association of the European Society of Cardiology Study Group on Peripartum Cardiomyopathy2. Cape Heart Institute, University of Cape Town, South Africa

Renal effects of empagliflozin in patients hospitalized for acute heart failure: from the EMPULSE trial

AIM

The sodium-glucose cotransporter 2 (SGLT2) inhibitor empagliflozin improved clinical outcomes in patients hospitalized for acute heart failure. In patients with chronic heart failure, SGLT2 inhibitors cause an early decline in estimated glomerular filtration rate (eGFR) followed by a slower eGFR decline over time than placebo. However, the effects of SGLT2 inhibitors on renal function during a hospital admission for acute heart failure remain largely unknown.

METHODS AND RESULTS

Between 1 and 5 days after a hospitalization for acute heart failure, 530 patients with an eGFR >20 ml/min/1.73 m² were randomized to 10 mg of empagliflozin or placebo and treated for 90 days. Renal function and electrolytes were measured at baseline, and after 15, 30 and 90 days. We evaluated the effect of empagliflozin on eGFR over time and the impact of baseline eGFR on the primary hierarchical outcome of death, worsening heart failure events and quality of life. Mean baseline eGFR was 52.4 ml/min/1.73 m² in the empagliflozin group and 55.7 ml/min/1.73 m² in the placebo group. Empagliflozin caused an initial decline in eGFR (-2 ml/min/1.73 m² at day 15 compared to placebo). At day 90, eGFR was similar between empagliflozin and placebo. Investigator-reported acute renal failure occurred in 7.7% of empagliflozin versus 12.1% of placebo patients. The overall clinical benefit (hierarchical composite of all-cause death, heart failure events and quality of life) of empagliflozin was unaffected by baseline eGFR.

CONCLUSION

In patients hospitalized for acute heart failure, empagliflozin caused an early modest decline in renal function which was no longer evident after 90 days. Acute renal events were similar in both groups. The clinical benefit of empagliflozin was consistent regardless of baseline renal function.

Heart failure with normal LVEF in BIOSTAT-CHF

AIMS

Several studies have shown that heart failure (HF) drug treatment seems to benefit patients with preserved ejection fraction (HFpEF) and a left ventricular ejection fraction (LVEF) up to 55-60% but not with higher LVEF. Certain HF drugs are now indicated in patients with HFpEF and a LVEF below normal. However, not much is known about patients with a normal LVEF. Therefore, we investigated the prevalence, clinical characteristics and outcome of patients with HF and a normal LVEF.

METHODS AND RESULTS

Normal LVEF was defined according to the Recommendations for Cardiac Chamber Quantification from the American Society of Echocardiography as a LVEF ≥62% for men and ≥ 64% for women. Preserved ejection fraction was defined as a LVEF ≥50% and reduced ejection fraction as a LVEF <50%. In the total cohort of 1568 studied patients with heart failure (mean age 73 years; 33.6% female) 57 patients (3.6%) had a normal LVEF. These patients least likely had a previous myocardial infarction (p < 0.001) or diabetes (p = 0.045), had the lowest Left Ventricular End Diastolic Diameter (p < 0.001), the highest rate of previous HF hospitalization in the last year (p = 0.015), the highest cardiac output (p < 0.001) and were most frequently women (p < 0.001). Patients with a normal LVEF had the lowest risk for the primary combined outcome of all-cause mortality and HF hospitalization.

CONCLUSION

Only 3.6% of patients with HF had a sex-adjusted normal LVEF. Despite the sex-adjusted cut-offs they were more frequently female with less ischemic heart disease, higher cardiac output and better clinical outcomes.

Epidemiology and Clinical Features of Heart Failure with Preserved Ejection Fraction

Heart failure (HF) with preserved ejection (HFpEF) constitutes a large and growing proportion of patients with HF around the world, and is now responsible for more than half of all HF cases in ageing societies. While classically described as a condition of elderly, hypertensive women, recent studies suggest heterogeneity in clinical phenotypes involving differential characteristics and pathophysiological mechanisms. Despite a paucity of disease-modifying therapy for HFpEF, an understanding of phenotypic similarities and differences among patients with HFpEF around the world provides the foundation to recognise the clinical condition for early treatment, as well as to identify modifiable risk factors for preventive intervention. This review summarises the epidemiology of HFpEF, its common clinical features and risk factors, as well as differences by age, comorbidities, race/ethnicity and geography.

Effects of Empagliflozin on Symptoms, Physical Limitations, and Quality of Life in Patients Hospitalized for Acute Heart Failure: Results From the EMPULSE Trial

BACKGROUND

Patients hospitalized for acute heart failure experience poor health status, including a high burden of symptoms and physical limitations, and poor quality of life. SGLT2 (sodium-glucose cotransporter 2) inhibitors improve health status in chronic heart failure, but their effect on these outcomes in acute heart failure is not well characterized. We investigated the effects of the SGLT2 inhibitor empagliflozin on symptoms, physical limitations, and quality of life, using the Kansas City Cardiomyopathy Questionnaire (KCCQ) in the EMPULSE trial (Empagliflozin in Patients Hospitalized With Acute Heart Failure Who Have Been Stabilized).

METHODS

Patients hospitalized for acute heart failure were randomized to empagliflozin 10 mg daily or placebo for 90 days. The KCCQ was assessed at randomization and 15, 30, and 90 days. The effects of empagliflozin on the primary end point of clinical benefit (hierarchical composite of all-cause death, heart failure events, and a 5-point or greater difference in KCCQ Total Symptom Score [TSS] change from baseline to 90 days) were examined post hoc across the tertiles of baseline KCCQ-TSS. In prespecified analyses, changes (randomization to day 90) in KCCQ domains, including TSS, physical limitations, quality of life, clinical summary, and overall summary scores were evaluated using a repeated measures model.

RESULTS

In total, 530 patients were randomized (265 each arm). Baseline KCCQ-TSS was low overall (mean [SD], 40.8 [24.0] points). Empagliflozin-treated patients experienced greater clinical benefit across the range of KCCQ-TSS, with no treatment effect heterogeneity (win ratio [95% CIs] from lowest to highest tertile: 1.49 [1.01-2.20], 1.37 [0.94-1.99], and 1.48 [1.00-2.20], respectively; P for interaction=0.94). Beneficial effects of empagliflozin on health status were observed as early as 15 days and persisted through 90 days, at which point empagliflozin-treated patients experienced a greater improvement in KCCQ TSS, physical limitations, quality of life, clinical summary, and overall summary (placebo-adjusted mean differences [95% CI]: 4.45 [95% CI, 0.32-8.59], P=0.03; 4.80 [95% CI, 0.00-9.61], P=0.05; 4.66 [95% CI, 0.32-9.01], P=0.04; 4.85 [95% CI, 0.77-8.92], P=0.02; and 4.40 points [95% CI, 0.33-8.48], P=0.03, respectively).

CONCLUSIONS

Initiation of empagliflozin in patients hospitalized for acute heart failure produced clinical benefit regardless of the degree of symptomatic impairment at baseline, and improved symptoms, physical limitations, and quality of life, with benefits seen as early as 15 days and maintained through 90 days.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT0415775.

P-452 Suboptimal quality of integrated female oncofertility care is associated with a lowered quality of life and more decisional conflict and regret in female cancer survivors

Study question

Is quality of female oncofertility care associated with quality of life, decisional conflict, regret, reproductive concerns, and fertility preservation knowledge in female cancer survivors?

Summary answer

Receiving high-quality integrated female oncofertility care is associated with an improved quality of life, and with less decisional conflict and regret in female cancer survivors.

What is known already

Female adolescent and young adult cancer patients should be informed about their infertility risks due to cancer treatment. However, adherence to oncofertility guidelines is far from optimal. At this moment, it is not known whether adherence to oncofertility guidelines measured with quality indicators is associated with a better quality of life, less decisional conflict, regret, and reproductive concerns in female cancer survivors

Study design, size, duration

A multicenter cross-sectional survey study was conducted to measure the association between quality of oncofertility care and patient-reported outcome measures (PROMs).

Participants/materials, setting, methods

Female AYA cancer survivors (18-40 years) who were diagnosed in 2016 or 2017, and received a (potential) gonadotoxic treatment were eligible to participate. They were recruited from six hospitals across the Netherlands and were asked to fill in a survey. Quality indicators were used to assess quality of care, and validated scales to assess PROMs. Quality indicator and PROM scores were calculated, and associations were analyzed by T-tests and multilevel multivariate analyses

Main results and the role of chance

In total, 121 out of 344 female cancer survivors participated. Female cancer survivors received a suboptimal quality of care with 8 out of 11 quality indicators scoring &lt;90% adherence. Of all patients, 72,7% was informed about their infertility, 51,2% was offered a referral, with 18,8% all aspects were discussed in counselling, and 35,5% received written and/or digital information. When survivors were informed about infertility risks, and were offered fertility preservation counseling, and received digital/written information (i.e. adherence to three quality indicators), their quality of life was highest, and levels of decisional conflict and regret were lowest. Physical quality of life, decision regret, reproductive concerns, and fertility preservation knowledge scores were significantly influenced by female cancer survivor’s age, relationship status, strength of wish to conceive, and type of cancer.

Limitations, reasons for caution

Selection bias could have occurred as we have no insight into reasons for non-responding and we have a low response rate. Furthermore, recall bias could have played a role as patients were asked to fill in questions three to four years after their diagnosis, treatment, and consultation.

Wider implications of the findings

As quality of oncofertility care is suboptimal, strategies should be developed and tailored to the current gaps, and to guideline-specific barriers, to improve quality of care and, importantly, quality of life in female cancer survivors.

Trial registration number

N/A