Lower Extremity Lymphatic Flow/Drainage Assessment by Indocyanine Green Fluorescent Lymphography in Heart Failure Patients.

The purpose of this study was to present a protocol for visualizing lymphatic flow in patients with heart failure (HF) by using indocyanine green fluorescence lymphography. We studied 37 subjects: 20 patients with acute heart failure (AHF) and lower limb edema, 7 patients with chronic heart failure (CHF) without lower limb edema, and 10 control subjects (no HF, no limb edema). All subjects were assessed at rest, and 11 subjects (6 control and 5 with CHF) were assessed again after a 10-minute walk. The lymph flow was visualized in all selected patients without complications. At rest, there was either no lymph flow or minimal lymph flow in all control subjects and patients with CHF, whereas the majority of patients with AHF demonstrated significant lymph flow. This study describes a new method to visualize/assess lymphatic flow in patients with HF, allowing for continuous, real-time tracking of lymphatic flow in the lower extremity.

Effects of Rapid Uptitration of Neurohormonal Blockade on Effective, Sustainable Decongestion and Outcomes in STRONG-HF.

BACKGROUND: Comprehensive uptitration of neurohormonal blockade targets fundamental mechanisms underlying development of congestion and may be an additional approach for decongestion after acute heart failure (AHF). OBJECTIVES: This hypothesis was tested in the STRONG-HF (Safety, Tolerability, and Efficacy of Rapid Optimization, Helped by N-Terminal Pro-Brain Natriuretic Peptide Testing of Heart Failure Therapies) trial. METHODS: In STRONG-HF, patients with AHF were randomized to the high-intensity care (HIC) arm with fast up-titration of neurohormonal blockade or to usual care (UC). Successful decongestion was defined as an absence of peripheral edema, pulmonary rales, and jugular venous pressure <6 cm. RESULTS: At baseline, the same proportion of patients in both arms had successful decongestion (HIC 48% vs UC 46%; P = 0.52). At day 90, higher proportion of patients in the HIC arm (75%) experienced successful decongestion vs the UC arm (68%) (P = 0.0001). Each separate component of the congestion score was significantly better in the HIC arm (all, P < 0.05). Additional markers of decongestion also favored the HIC: weight reduction (adjusted mean difference: -1.36 kg; 95% CI: -1.92 to -0.79 kg), N-terminal pro-B-type natriuretic peptide level, and lower orthopnea severity (all, P < 0.001). More effective decongestion was achieved despite a lower mean daily dose of loop diuretics at day 90 in the HIC arm. Among patients with successful decongestion at baseline, those in the HIC arm had a significantly better chance of sustaining decongestion at day 90. Successful decongestion in all subjects was associated with a lower risk of 180-day HF readmission or all-cause death (HR: 0.40; 95% CI: 0.27-0.59; P < 0.0001). CONCLUSIONS: In STRONG-HF, intensive uptitration of neurohormonal blockade was associated with more efficient and sustained decongestion at day 90 and a lower risk of the primary endpoint.

Time from admission to randomization and the effect of empagliflozin in acute heart failure: A post-hoc analysis from EMPULSE.

AIMS: Patients hospitalized for acute heart failure (HF) could be enrolled in EMPULSE (NCT04157751) upon haemodynamic stabilization and between 24 h and 5 days after hospital admission. The timing of treatment initiation may influence the efficacy and safety of drugs such as empagliflozin. The aim of this study was to evaluate patient characteristics, clinical events, and treatment effects according to time from admission to randomization. METHODS AND RESULTS: The EMPULSE population was dichotomized by median time from hospital admission to randomization (1-2 days vs. 3-5 days). The primary outcome was a hierarchical composite endpoint of time to all-cause death, number of HF events, time to first HF event, and a ≥5-point difference in Kansas City Cardiomyopathy Questionnaire total symptom score change from baseline after 90 days, analysed using the win ratio (WR) method. Patients randomized later (3-5 days, average time 3.9 days; n = 312) had a higher risk of experiencing clinical events than patients randomized earlier (1-2 days, average time 1.7 days; n = 215). The treatment effect favoured empagliflozin versus placebo in patients randomized later (3-5 days: WR 1.69, 95% confidence interval [CI] 1.26-2.25) but was attenuated in patients randomized earlier (1-2 days: WR 1.04, 95% CI 0.74-1.44) (interaction p = 0.029). A similar pattern was observed for the composite of HF hospitalization or cardiovascular death and all-cause hospitalizations (interaction p < 0.1 for both). The reduction of N-terminal pro-B-type natriuretic peptide levels was more pronounced with empagliflozin among patients randomized later than in patients randomized earlier (interaction p = 0.004). CONCLUSIONS: Among patients hospitalized for acute HF enrolled in EMPULSE, those randomized later after hospital admission (3-5 days) experienced greater clinical benefit with empagliflozin than those randomized earlier (1-2 days). These findings should be confirmed in future studies before clinical application.

High-intensity care for GDMT titration.

Heart failure (HF) is a systemic disease associated with a high risk of morbidity, mortality, increased risk of hospitalizations, and low quality of life. Therefore, effective, systemic treatment strategies are necessary to mitigate these risks. In this manuscript, we emphasize the concept of high-intensity care to optimize guideline-directed medical therapy (GDMT) in HF patients. The document highlights the importance of achieving optimal recommended doses of GDMT medications, including beta-blockers, renin-angiotensin-aldosterone inhibitors, mineralocorticoid receptor antagonists, and sodium-glucose cotransporter inhibitors to improve patient outcomes, achieve effective, sustainable decongestion, and improve patient quality of life. The document also discusses potential obstacles to GDMT optimization, such as clinical inertia, physiological limitations, comorbidities, non-adherence, and frailty. Lastly, it also attempts to provide possible future scenarios of high-intensive care that could improve patient outcomes.

Spot urine sodium-to-creatinine ratio surpasses sodium in identifying poor diuretic response in acute heart failure.

AIMS: We aim to identify the most accurate marker for early prediction of poor diuretic response in acute heart failure (AHF) patients with signs of congestion requiring intravenous diuretic treatment. METHODS: In this single-centre, prospective observational study, AHF patients with signs of congestion received a standardized intravenous furosemide dose (1 mg/kg of body weight; 40 mg in bolus and remaining dose in 2 h continuous infusion). Subsequently, we assessed spot urine composition at 2 h post-administration, comparing it with total urine output at 6 h. Various potential urine markers were analysed for predicting urine output using receiver operating characteristic (ROC) curves and logistic regression models. We investigated guideline-recommended markers, including spot urine sodium (UNa+) and its cut-off, and introduced the UNa+/UCr (urine creatinine concentration) ratio adjusting UNa+ for urine dilution. RESULTS: Out of 111 patients (85% males, 66.4 ± 13.9 years old, NTproBNP 7290 [4493-14 582] pg/ml), there were 18 (16%) with a poor diuretic response (cumulative urine output <600 ml during the first 6 h). The mean 6 h cumulative diuresis in patients with poor and good diuretic response was 406 ± 142 and 2114 ± 1164 ml, respectively, P < 0.005. After an initial evaluation of several potential biomarkers, only UNa+, UCr and UNa+/UCr were selected as candidates with the highest predictive value. The cut-off for UNa+ adjusted for urine dilution: UNa+/UCr ratio <0.167 mmol/mg × 10-1 was determined by ROC analysis with the highest area under the curve (95% confidence interval): 0.956 (0.915-0.997), P < 0.001. When compared with the guideline-recommended cut-off (UNa+ <50 mmol/L as a reference, specificity-0.97; sensitivity-0.83), the odds ratio (OR) for UNa+/UCreat to identify a poor diuretic response was 2.5 times greater, regardless of kidney function (OR for estimated glomerular filtration rate in the logistic regression model was 0.978 [0.945-1.013, P = 0.222]). CONCLUSIONS: The UNa+/UCr ratio in a spot urine sample 2 h after intravenous diuretic administration is a simple, highly predictive marker for the identification of AHF patients with poor diuretic response, surpassing guidelines-recommended markers like UNa+.

The role of urine chloride in acute heart failure.

In our retrospective study, we aimed to investigate the relationship between urinary chloride (uCl-) and selected clinical and laboratory biomarkers, renal function, and patient outcomes in the acute heart failure (AHF) population. We divided 248 adult patients (≥ 18 years) with AHF into two groups: low uCl- (< 115 mmol/L) and high uCl-. The mean age of the patient group was 70.2 ± 12.6, and 182 patients were male (73.4%). Clinical endpoints included in-hospital mortality, one-year mortality, and a composite endpoint of one-year mortality and rehospitalization for heart failure. Patients were followed up for at least one year. Relevant clinical and baseline biomarker data were collected, including markers concerning inflammation, liver and kidney function, perfusion and congestion, iron status, cardiac remodeling, gasometry, renin and aldosterone. Low uCl- was associated with worse in-hospital outcomes, including higher in-hospital mortality (7.7% vs. 1.4%, p = 0.014), the need for inotropic support (20.19% vs. 2.08%, p ≤ 0.001), worsening of HF during therapy (17.31% vs. 4.86%, p ≤ 0.001), and the need for treatment in an intensive cardiac care unit (33.65% vs. 15.28%, p ≤ 0.001). Low uCl- was a significant predictor of one-year mortality (40.4% vs. 16.7%, p < 0.05) and the composite outcome (HR 2.42, 95% CI 1.43-4.08, p < 0.001). In the multivariable analysis, uCl- was independently associated with the risk of one-year mortality (HR 0.92, 95% CI 0.87-0.98, p < 0.05) and the composite outcome (HR 0.95, 95% CI 0.92-0.99, p < 0.05). Our findings suggest that low uCl- is a marker of more advanced heart failure, activation of the renin-angiotensin-aldosterone system and is related to worse one-year outcomes.

Corticosteroid burst therapy in patients with acute heart failure: Design of the CORTAHF pilot study.

AIMS: Inflammation has emerged as a potential key pathophysiological mechanism in heart failure (HF) in general and acute HF (AHF) specifically, with inflammatory biomarkers shown to be highly predictive of adverse outcomes in these patients. The CORTAHF study builds on both these data and the fact that steroid burst therapy has been shown to be effective in the treatment of respiratory diseases and COVID-19. Our hypothesis is that in patients with AHF and elevated C-reactive protein (CRP) levels without symptoms or signs of infection, a 7-day course of steroid therapy will lead to reduced inflammation and short-term improvement in quality of life and a reduced risk of worsening HF (WHF) events. METHODS AND RESULTS: The study, which is currently ongoing, will include 100 patients with AHF ages 18-85, regardless of ejection fraction, screened within 12 h of presentation. Patients will be included who have NT-proBNP > 1500 pg/mL and CRP > 20 mg/L at screening. Exclusion criteria include haemodynamic instability and symptoms and signs of infection. After signed consent, eligible patients will be randomized according to a central randomization scheme stratified by centre 1:1 to either treatment once daily for 7 days with 40 mg prednisone orally or to standard care. Patients will be assessed at study day 2, day 4 or at discharge if earlier, and at days 7 and 31 at the hospital; and at day 91 through a telephone follow-up. The primary endpoint is the change in CRP level from baseline to day 7, estimated from a mixed model for repeated measures (MMRM) including all measured timepoints, in patients without a major protocol violation. Secondary endpoints include the time to the first event of WHF adverse event, readmission for HF, or death through day 91; and changes to day 7 in EQ-5D visual analogue scale score and utility index. Additional clinical and laboratory measures will be assessed. CONCLUSIONS: The results of the study will add to the knowledge of the role of inflammation in AHF and potentially inform the design of larger studies with possibly longer duration of anti-inflammatory therapies in AHF.

Effectiveness of remote pulmonary artery pressure estimating in heart failure: systematic review and meta-analysis.

Heart failure (HF) poses a significant challenge, often leading to frequent hospitalizations and compromised quality of life. Continuous pulmonary artery pressure (PAP) monitoring offers a surrogate for congestion status in ambulatory HF care. This meta-analysis examines the efficacy of PAP monitoring devices (CardioMEMS and Chronicle) in preventing adverse outcomes in HF patients, addressing gaps in prior randomized controlled trials (RCTs). Five RCTs (2572 participants) were systematically reviewed. PAP monitoring significantly reduced HF-related hospitalizations (RR 0.72 [95% CI 0.6-0.87], p = 0.0006) and HF events (RR 0.86 [95% CI 0.75-0.99], p = 0.03), with no impact on all-cause or cardiovascular mortality. Subgroup analyses highlighted the significance of CardioMEMS and blinded studies. Meta-regression indicated a correlation between prolonged follow-up and increased reduction in HF hospitalizations. The risk of bias was generally high, with evidence certainty ranging from low to moderate. PAP monitoring devices exhibit promise in diminishing HF hospitalizations and events, especially in CardioMEMS and blinded studies. However, their influence on mortality remains inconclusive. Further research, considering diverse patient populations and intervention strategies with extended follow-up, is crucial for elucidating the optimal role of PAP monitoring in HF management.

Biologically active adrenomedullin as a marker for residual congestion and early rehospitalization in patients hospitalized for acute heart failure: Data from STRONG-HF.

AIMS: Biologically active adrenomedullin (bio-ADM) is a promising marker of residual congestion. The STRONG-HF trial showed that high-intensity care (HIC) of guideline-directed medical therapy (GDMT) improved congestion and clinical outcomes in heart failure (HF) patients. The association between bio-ADM, decongestion, outcomes and the effect size of HIC of GDMT remains to be elucidated. METHODS AND RESULTS: We measured plasma bio-ADM concentrations in 1005 patients within 2 days prior to anticipated discharge (baseline) and 90 days later. Bio-ADM correlated with most signs of congestion, with the exception of rales. Changes in bio-ADM were strongly correlated with change in congestion status from baseline to day 90 (gamma -0.24; p = 0.0001). Patients in the highest tertile of baseline bio-ADM concentrations were at greater risk than patients in the lowest tertile for the primary outcome of 180-day all-cause mortality or HF rehospitalization (hazard ratio [HR] 2.14, 95% confidence interval [CI] 1.42-3.22) and 180-day HF rehospitalization (HR 2.33, 95% CI 1.38-3.94). Areas under the receiver-operating characteristic curves were 0.5977 (95% CI 0.5561-0.6393), 0.5800 (95% CI 0.5356-0.6243), and 0.6159 (95% CI 0.5711-0.6607) for bio-ADM, N-terminal pro-B-type natriuretic peptide (NT-proBNP) and their combination, respectively, suggesting that both bio-ADM and NT-proBNP provided similarly modest discrimination for this outcome. A trend towards better discrimination by combined bio-ADM and NT-proBNP than NT-proBNP alone was found (p = 0.059). HIC improved the primary outcome, irrespective of baseline bio-ADM concentration (interaction p = 0.37). In contrast to NT-proBNP, the 90-day change in bio-ADM did not differ significantly between HIC and usual care. CONCLUSIONS: Bio-ADM is a marker of congestion and predicts congestion at 3 months after a HF hospitalization. Higher bio-ADM was modestly associated with a higher risk of death and early hospital readmission and may have added value when combined with NT-proBNP.

Empagliflozin in the treatment of heart failure.

Heart failure (HF) affects more than 60 million individuals globally. Empagliflozin is currently approved for type 2 diabetes and chronic HF. Clinical trials have demonstrated that empagliflozin reduces the composite end point of hospitalizations for HF and mortality and improves the quality of life irrespective of left ventricular ejection fraction. Empagliflozin is a once-daily medication with minimal drug-drug interactions and does not require titration. Empagliflozin causes mild weight loss and does not significantly reduce blood pressure. Empagliflozin acts as an enabler for other HF drugs by reducing the risk of hyperkalemia. Empagliflozin is also beneficial for chronic kidney disease which exists commonly with HF. This review outlines the pharmacokinetics, pharmacodynamics, safety, and efficacy of empagliflozin in HF across various sub-groups and settings.

Empagliflozin is a one-daily medication and is an effective glucose-lowering drug for the treatment of diabetes. In recent years, researchers and medical professionals have discovered that empagliflozin may also be used to treat some cardiovascular conditions. Numerous people suffer from myocardial infarction ('heart attack') each year. According to several clinical trials, empagliflozin may slow the course of myocardial infarction and improve clinical outcomes and quality of life. Additionally, empagliflozin does not result in a substantial decrease in blood pressure and can also lead to mild weight loss. Therefore, empagliflozin shows potential as a useful medication for the treatment of myocardial infarction, especially in individuals with diabetes and impaired kidney function.

Titration of Medications After Acute Heart Failure Is Safe, Tolerated, and Effective Regardless of Risk.

BACKGROUND: Guideline-directed medical therapy (GDMT) decisions may be less affected by single patient variables such as blood pressure or kidney function and more by overall risk profile. In STRONG-HF (Safety, tolerability and efficacy of up-titration of guideline-directed medical therapies for acute heart failure), high-intensity care (HIC) in the form of rapid uptitration of heart failure (HF) GDMT was effective overall, but the safety, tolerability and efficacy of HIC across the spectrum of HF severity is unknown. Evaluating this with a simple risk-based framework offers an alternative and more clinically translatable approach than traditional subgroup analyses. OBJECTIVES: The authors sought to assess safety, tolerability, and efficacy of HIC according to the simple, powerful, and clinically translatable MAGGIC (Meta-Analysis Global Group in Chronic) HF risk score. METHODS: In STRONG-HF, 1,078 patients with acute HF were randomized to HIC (uptitration of treatments to 100% of recommended doses within 2 weeks of discharge and 4 scheduled outpatient visits over the 2 months after discharge) vs usual care (UC). The primary endpoint was the composite of all-cause death or first HF rehospitalization at day 180. Baseline HF risk profile was determined by the previously validated MAGGIC risk score. Treatment effect was stratified according to MAGGIC risk score both as a categorical and continuous variable. RESULTS: Among 1,062 patients (98.5%) with complete data for whom a MAGGIC score could be calculated at baseline, GDMT use at baseline was similar across MAGGIC tertiles. Overall GDMT prescriptions achieved for individual medication classes were higher in the HIC vs UC group and did not differ by MAGGIC risk score tertiles (interaction nonsignificant). The incidence of all-cause death or HF readmission at day 180 was, respectively, 16.3%, 18.9%, and 23.2% for MAGGIC risk score tertiles 1, 2, and 3. The HIC arm was at lower risk of all-cause death or HF readmission at day 180 (HR: 0.66; 95% CI: 0.50-0.86) and this finding was robust across MAGGIC risk score modeled as a categorical (HR: 0.51; 95% CI: 0.62-0.68 in tertiles 1, 2, and 3; interaction nonsignificant) for all comparisons and continuous (interaction nonsignificant) variable. The rate of adverse events was higher in the HIC group, but this observation did not differ based on MAGGIC risk score tertile (interaction nonsignificant). CONCLUSIONS: HIC led to better use of GDMT and lower HF-related morbidity and mortality compared with UC, regardless of the underlying HF risk profile. (Safety, Tolerability and Efficacy of Rapid Optimization, Helped by NT-proBNP testinG, of Heart Failure Therapies [STRONG-HF]; NCT03412201).

2024 update in heart failure.

In the last years, major progress has occurred in heart failure (HF) management. The 2023 ESC focused update of the 2021 HF guidelines introduced new key recommendations based on the results of the last years of science. First, two drugs, sodium-glucose co-transporter-2 (SGLT2) inhibitors and finerenone, a novel nonsteroidal, selective mineralocorticoid receptor antagonist (MRA), are recommended for the prevention of HF in patients with diabetic chronic kidney disease (CKD). Second, SGLT2 inhibitors are now recommended for the treatment of HF across the entire left ventricular ejection fraction spectrum. The benefits of quadruple therapy in patients with HF with reduced ejection fraction (HFrEF) are well established. Its rapid and early up-titration along with a close follow-up with frequent clinical and laboratory re-assessment after an episode of acute HF (the so-called 'high-intensity care' strategy) was associated with better outcomes in the STRONG-HF trial. Patients experiencing an episode of worsening HF might require a fifth drug, vericiguat. In the STEP-HFpEF-DM and STEP-HFpEF trials, semaglutide 2.4 mg once weekly administered for 1 year decreased body weight and significantly improved quality of life and the 6 min walk distance in obese patients with HF with preserved ejection fraction (HFpEF) with or without a history of diabetes. Further data on safety and efficacy, including also hard endpoints, are needed to support the addition of acetazolamide or hydrochlorothiazide to a standard diuretic regimen in patients hospitalized due to acute HF. In the meantime, PUSH-AHF supported the use of natriuresis-guided diuretic therapy. Further options and most recent evidence for the treatment of HF, including specific drugs for cardiomyopathies (i.e., mavacamten in hypertrophic cardiomyopathy and tafamidis in transthyretin cardiac amyloidosis), device therapies, cardiac contractility modulation and percutaneous treatment of valvulopathies, with the recent finding from the TRILUMINATE Pivotal trial, are also reviewed in this article.

Reduced congestion and improved response to a fluid/sodium challenge in chronic heart failure patients after initiation of sacubitril/valsartan: The NATRIUM-HF study.

AIMS: The effects of initiating sacubitril/valsartan in patients with stable heart failure with reduced ejection fraction (HFrEF) on response to fluid and sodium expansion are unknown. METHODS AND RESULTS: We have explored changes in natriuresis, diuresis, and congestion in response to the administration of intravenous fluid/sodium load in patients with HFrEF before as compared to after the initiation of sacubitril/valsartan. At baseline (before sacubitril/valsartan initiation) and 2 and 3 months after the initiation, patients underwent an evaluation that consisted of three phases of 3 h: the rest phase (0-3 h), the load phase (3-6 h) in which 1 L of intravenous Ringer solution was administered, and the diuretic phase (6-9 h) at the beginning of which furosemide was administered. Overall, 216 patients completed the study. In comparison to baseline values, at 2 and 3 months after sacubitril/valsartan initiation, patients' diuresis and natriuresis in response to Ringer administration significantly increased (mean difference: 38.8 [17.38] ml, p = 0.0040, and 9.6 [2.02] mmol, p < 0.0001, respectively). Symptoms and signs of congestion after the fluid/sodium challenge were significantly decreased at months 2 and 3 compared to baseline. Compared to baseline, there was also an increment of natriuresis after furosemide administration on sacubitril/valsartan (9.8 [5.13] mmol, p = 0.0167). There was a significant decrease in body weight in subsequent visits when compared to baseline values (-0.50 [-12.7, 7.4] kg at 2 months, and -0.75 [-15.9, 7.5] kg at 3 months; both p < 0.0001). CONCLUSIONS: The initiation of sacubitril/valsartan in HFrEF patients was associated with improvements in natriuresis, diuresis, and weight loss and better clinical adaptation to potentially decongestive stressors.

Characteristics, treatment, and outcomes of early vs. late enrollees of the STRONG-HF trial.

BACKGROUND: The STRONG-HF trial showed that high-intensity care (HIC) consisting of rapid up-titration of guideline-directed medical therapy (GDMT) and close follow-up reduced all-cause death or heart failure (HF) readmission at 180 days compared to usual care (UC). We hypothesized that significant differences in patient characteristics, management, and outcomes over the enrolment period may exist. METHODS: Two groups of the 1,078 patients enrolled in STRONG-HF were created according to the order of enrolment within center. The early group consisted of the first 10 patients enrolled at each center (N = 342) and the late group consisted of the following patients (N = 736). RESULTS: Late enrollees were younger, had more frequently reduced ejection fraction, slightly lower NT-proBNP and creatinine levels compared with early enrollees. The primary outcome occurred less frequently in early compared to late enrollees (15% vs. 21%, aHR 0.65, 95% CI 0.42-0.99, P = .044). No treatment-by-enrolment interaction was seen in respect to the average percentage of optimal dose of GDMT after randomization, which was consistently higher in early and late patients randomized to HIC compared to UC. The higher use of renin-angiotensin-inhibitors in the HIC arm was more pronounced in the late enrollees both after randomization (interaction-P = .013) and at 90 days (interaction-P < .001). No interaction was observed for safety events. Patients randomized late to UC displayed a trend toward more severe outcomes (26% vs. 16%, P = .10), but the efficacy of HIC showed no interaction with the enrolment group (aHR 0.77, 95% CI 0.35-1.67 in early and 0.58, 95% CI 0.40-0.83 in late enrollees, adjusted interaction-P = .51) with similar outcomes in the HIC arm in late and early enrollees (16% vs. 13%, P = .73). CONCLUSIONS: Late enrollees have different clinical characteristics and higher event rates compared to early enrollees. GDMT implementation in the HIC arm robustly achieved similar doses with consistent efficacy in early and late enrollees, mitigating the higher risk of adverse outcome in late enrollees. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03412201.

Prognostic implications of volume status assessed by blood volume analysis in ambulatory heart failure.

The prognostic implications of intravascular volume status assessed by blood volume analysis (BVA) in ambulatory heart failure (HF) remain uncertain. The incremental benefits of assessing volume status, beyond the well-established filling pressures, in predicting HF outcomes are unknown.

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.

Application of machine learning in predicting frailty syndrome in patients with heart failure.

Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require innovative systems to help medical personnel tailor and optimize their treatment and care. Traditional methods of diagnosing FS in patients could be more satisfactory. Healthcare personnel in clinical settings use a combination of tests and self-reporting to diagnose patients and those at risk of frailty, which is time-consuming and costly. Modern medicine uses artificial intelligence (AI) to study the physical and psychosocial domains of frailty in cardiac patients with HF. This paper aims to present the potential of using the AI approach, emphasizing machine learning (ML) in predicting frailty in patients with HF. Our team reviewed the literature on ML applications for FS and reviewed frailty measurements applied to modern clinical practice. Our approach analysis resulted in recommendations of ML algorithms for predicting frailty in patients. We also present the exemplary application of ML for FS in patients with HF based on the Tilburg Frailty Indicator (TFI) questionnaire, taking into account psychosocial variables.