How to tackle therapeutic inertia in heart failure with reduced ejection fraction. A scientific statement of the Heart Failure Association of the ESC.

Guideline-directed medical therapy (GDMT) in patients with heart failure and reduced ejection fraction (HFrEF) reduces morbidity and mortality, but its implementation is often poor in daily clinical practice. Barriers to implementation include clinical and organizational factors that might contribute to clinical inertia, i.e. avoidance/delay of recommended treatment initiation/optimization. The spectrum of strategies that might be applied to foster GDMT implementation is wide, and involves the organizational set-up of heart failure care pathways, tailored drug initiation/optimization strategies increasing the chance of successful implementation, digital tools/telehealth interventions, educational activities and strategies targeting patient/physician awareness, and use of quality registries. This scientific statement by the Heart Failure Association of the ESC provides an overview of the current state of GDMT implementation in HFrEF, clinical and organizational barriers to implementation, and aims at suggesting a comprehensive framework on how to overcome clinical inertia and ultimately improve implementation of GDMT in HFrEF based on up-to-date evidence.

MASLD and MASH at the crossroads of hepatology trials and cardiorenal metabolic trials.

Steatotic liver disease (SLD) is a worldwide public health problem, causing considerable morbidity and mortality. Patients with SLD are at increased risk for major adverse cardiovascular (CV) events, type 2 diabetes mellitus and chronic kidney disease. Conversely, patients with cardiometabolic conditions have a high prevalence of SLD. In addition to epidemiological evidence linking many of these conditions, there is evidence of shared pathophysiological processes. In December 2022, a unique multi-stakeholder, multi-specialty meeting, called MOSAIC (Metabolic multi Organ Science Accelerating Innovation in Clinical Trials) was convened to foster collaboration across metabolic, hepatology, nephrology and CV disorders. One of the goals of the meeting was to consider approaches to drug development that would speed regulatory approval of treatments for multiple disorders by combining liver and cardiorenal endpoints within a single study. Non-invasive tests, including biomarkers and imaging, are needed in hepatic and cardiorenal trials. They can be used as trial endpoints, to enrich trial populations, to diagnose and risk stratify patients and to assess treatment efficacy and safety. Although they are used in proof of concept and phase 2 trials, they are often not acceptable for regulatory approval of therapies. The challenge is defining the optimal combination of biomarkers, imaging and morbidity/mortality outcomes and ensuring that they are included in future trials while minimizing the burden on patients, trialists and trial sponsors. This paper provides an overview of some of the wide array of CV, liver and kidney measurements that were discussed at the MOSAIC meeting.

Diuresis Efficacy in Ambulatory Congested Heart Failure Patients: Intra-patient Comparison of Three Diuretic Regimens (DEA-HF).

BACKGROUND: Limited evidence exists regarding efficacy and safety of diuretic regimens in ambulatory, congestion-refractory, chronic heart failure (CHF) patients. OBJECTIVE: To compare the potency and safety of commonly used diuretic regimens in CHF patients. METHODS: A prospective, randomized, open-label, crossover study conducted in NYHA class II-IV CHF patients, treated in an ambulatory day-care unit. Each patient received 3 different diuretic regimens: intravenous (IV) furosemide 250mg; IV furosemide 250mg plus oral metolazone 5mg; and IV furosemide 250mg plus IV acetazolamide 500mg. Treatments were administered once a week, in one of six randomized sequences. The primary endpoint was total sodium excretion, and the secondary was total urinary volume excreted, both measured for 6 hours post-treatment initiation. RESULTS: A total of 42 patients were recruited. Administration of furosemide plus metolazone resulted in the highest weight of sodium excreted, 4691 mg (95% CI: 4153-5229) compared to furosemide alone 3835 mg (95% CI: 3279-4392), P=0.015 and to furosemide plus acetazolamide 3584 mg (95% CI: 3020-4148), P=0.001. Furosemide plus metolazone resulted in 1.84 liters of urine (95% CI: 1.63-2.05), compared to 1.58 liters (95% CI: 1.37-1.8) P=0.039 collected following administration of furosemide plus acetazolamide and 1.71 liters (95% CI 1.49-1.93) following furosemide alone. The incidence of worsening renal function (WRF) was significantly higher when adding metolazone (41%) to furosemide compared to furosemide alone (17%) and to furosemide plus acetazolamide (2.6%), P<0.001. CONCLUSIONS: In ambulatory CHF patients, furosemide plus metolazone resulted in a significantly higher natriuresis compared to IV furosemide alone or furosemide plus acetazolamide.

Hypothermia in patients with cardiac arrest prior to ECMO-VA: Insight from the HYPO-ECMO trial.

AIM: Venoarterial extracorporeal membrane oxygenation (VA-ECMO) has become a common intervention for patients with cardiogenic shock (CS), often complicated by cardiac arrest (CA). Moderate hypothermia (MH) has shown promise in mitigating ischemia-reperfusion injury following CA. The HYPO-ECMO trial aimed to compare the effect of MH versus normothermia in refractory CS rescued by VA-ECMO. The primary aim of this non-predefined post hoc study was to assess the treatment effect of MH in the subgroup of patients with cardiac arrest (CA) within the HYPO-ECMO trial. Additionally, we will evaluate the prognostic significance of CA in these patients. METHODS: This post hoc analysis utilized data from the randomized HYPO-ECMO trial conducted across 20 French cardiac shock care centers between October 2016 and July 2019. Participants included intubated patients receiving VA-ECMO for CS for less than 6 h, with 334 patients completing the trial. Patients were randomized to early MH (33-34 °C) or normothermia (36-37 °C) for 24 h. RESULTS: Of the 334 patients, 159 (48%) experienced preceding CA. Mortality in the CA group was 50.9% at 30 days and 59.1% at 180 days, compared to 42.3% and 51.4% in the no-CA group, respectively (adjusted risk difference [RD] at 30 days, 8.1% [-0.8 to 17.1%], p = 0.074 and RD at 180 days 7.0% [-3.0 to 16.9%], p = 0.17). MH was associated with a significant reduction in primary (RD -13.3% [-16.3 to -0.3%], p = 0.031) and secondary outcomes in the CA group only (p < 0.025 for all), with a significant interaction between MH and CA status for 180-day mortality [p = 0.03]. CONCLUSIONS: This post hoc analysis suggests that MH shows potential for reducing mortality and composite endpoints in patients with cardiac arrest and refractory CS treated with VA-ECMO without an increased risk of severe bleeding or infection. Further research is needed to validate these findings and elucidate underlying mechanisms.

Urinary proteomic signature of mineralocorticoid receptor antagonism by spironolactone: evidence from the HOMAGE trial.

OBJECTIVE: Heart failure (HF) is characterised by collagen deposition. Urinary proteomic profiling (UPP) followed by peptide sequencing identifies parental proteins, for over 70% derived from collagens. This study aimed to refine understanding of the antifibrotic action of spironolactone. METHODS: In this substudy (n=290) to the Heart 'Omics' in Ageing Study trial, patients were randomised to usual therapy combined or not with spironolactone 25-50 mg/day and followed for 9 months. The analysis included 1498 sequenced urinary peptides detectable in ≥30% of patients and carboxyterminal propeptide of procollagen I (PICP) and PICP/carboxyterminal telopeptide of collagen I (CITP) as serum biomarkers of COL1A1 synthesis. After rank normalisation of biomarker distributions, between-group differences in their changes were assessed by multivariable-adjusted mixed model analysis of variance. Correlations between the changes in urinary peptides and in serum PICP and PICP/CITP were compared between groups using Fisher's Z transform. RESULTS: Multivariable-adjusted between-group differences in the urinary peptides with error 1 rate correction were limited to 27 collagen fragments, of which 16 were upregulated (7 COL1A1 fragments) on spironolactone and 11 downregulated (4 COL1A1 fragments). Over 9 months of follow-up, spironolactone decreased serum PICP from 81 (IQR 66-95) to 75 (61-90) µg/L and PICP/CITP from 22 (17-28) to 18 (13-26), whereas no changes occurred in the control group, resulting in a difference (spironolactone minus control) expressed in standardised units of -0.321 (95% CI 0.0007). Spironolactone did not affect the correlations between changes in urinary COL1A1 fragments and in PICP or the PICP/CITP ratio. CONCLUSIONS: Spironolactone decreased serum markers of collagen synthesis and predominantly downregulated urinary collagen-derived peptides, but upregulated others. The interpretation of these opposite UPP trends might be due to shrinking the body-wide pool of collagens, explaining downregulation, while some degree of collagen synthesis must be maintained to sustain vital organ functions, explaining upregulation. Combining urinary and serum fibrosis markers opens new avenues for the understanding of the action of antifibrotic drugs. TRIAL REGISTRATION NUMBER: NCT02556450.

Identification of endophenotypes supporting outcome prediction in hemodialysis patients based on mechanistic markers of statin treatment.

Background: Statins are widely used to reduce the risk of cardiovascular disease (CVD). Patients with end-stage renal disease (ESRD) on hemodialysis have significantly increased risk of developing CVD. Statin treatment in these patients however did not show a statistically significant benefit in large trials on a patient cohort level. Methods: We generated gene expression profiles for statins to investigate the impact on cellular programs in human renal proximal tubular cells and mesangial cells in-vitro. We subsequently selected biomarkers from key statin-affected molecular pathways and assessed these biomarkers in plasma samples from the AURORA cohort, a double-blind, randomized, multi-center study of patients on hemodialysis or hemofiltration that have been treated with rosuvastatin. Patient clusters (phenotypes) were created based on the identified biomarkers using Latent Class Model clustering and the associations with outcome for the generated phenotypes were assessed using Cox proportional hazards regression models. The multivariable models were adjusted for clinical and biological covariates based on previously published data in AURORA. Results: The impact of statin treatment on mesangial cells was larger as compared with tubular cells with a large overlap of differentially expressed genes identified for atorvastatin and rosuvastatin indicating a predominant drug class effect. Affected molecular pathways included TGFB-, TNF-, and MAPK-signaling and focal adhesion among others. Four patient clusters were identified based on the baseline plasma concentrations of the eight biomarkers. Phenotype 1 was characterized by low to medium levels of the hepatocyte growth factor (HGF) and high levels of interleukin 6 (IL6) or matrix metalloproteinase 2 (MMP2) and it was significantly associated with outcome showing increased risk of developing major adverse cardiovascular events (MACE) or cardiovascular death. Phenotype 2 had high HGF but low Fas cell surface death receptor (FAS) levels and it was associated with significantly better outcome at 1 year. Conclusions: In this translational study, we identified patient subgroups based on mechanistic markers of statin therapy that are associated with disease outcome in patients on hemodialysis.

A machine learning-based lung ultrasound algorithm for the diagnosis of acute heart failure.

Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, several imaging protocols currently exist and how to best use LUS remains undefined. We aimed at developing a lung ultrasound-based model for AHF diagnosis using machine learning. Random forest and decision trees were generated using the LUS data (via an 8-zone scanning protocol) in patients with acute dyspnea admitted to the Emergency Department (PLUME study, N = 117) and subsequently validated in an external dataset (80 controls from the REMI study, 50 cases from the Nancy AHF cohort). Using the random forest model, total B-line sum (i.e., in both hemithoraces) was the most significant variable for identifying AHF, followed by the difference in B-line sum between the superior and inferior lung areas. The decision tree algorithm had a good diagnostic accuracy [area under the curve (AUC) = 0.865] and identified three risk groups (i.e., low 24%, high 70%, and very high-risk 96%) for AHF. The very high-risk group was defined by the presence of 14 or more B-lines in both hemithoraces while the high-risk group was described as having either B-lines mostly localized in superior points or in the right hemithorax. Accuracy in the validation cohort was excellent (AUC = 0.906). Importantly, adding the algorithm on top of a validated clinical score and classical definition of positive LUS scanning for AHF resulted in a significant improvement in diagnostic accuracy (continuous net reclassification improvement = 1.21, P < 0.001). Our simple lung ultrasound-based machine learning algorithm features an excellent performance and may constitute a validated strategy to diagnose AHF.

Dietary inflammatory potential and arterial stiffness in a French cohort: Insights from the STANISLAS study.

BACKGROUND AND AIMS: Chronic inflammation plays a key role in arterial stiffness pathogenesis. Dietary components can display anti- or pro-inflammatory properties. Nonetheless, the association between the diet's overall inflammatory potential and arterial stiffness is unclear. This study aimed to assess the association between the diet's overall inflammatory potential and arterial stiffness assessed by carotid-femoral pulse wave velocity (cfPWV). METHODS AND RESULTS: This cross-sectional study included 1307 participants from the STANISLAS family cohort study. Dietary data were collected using a validated food frequency questionnaire. The adapted dietary inflammatory index (ADII) score was calculated to assess the inflammatory potential of the participants' diet. The association of ADII score quartile with cfPWV was assessed using IPW-weighted linear mixed models with random family effect. The median (Q1-Q3) ADII score was 0.45 (-1.57, 2.04). Participants exhibiting higher ADII scores demonstrated elevated energy intake, dietary saturated fat, and ultra-processed foods. Conversely, individuals with lower ADII scores exhibited higher vitamins and omega intakes, and a higher diet quality, as assessed by the DASH score. Despite these observations from the descriptive analyses, ADII score quartiles were not significantly associated with cfPWV (ß(95% CI) were 0.01 (-0.02,0.04) for Q2, 0.02 (-0.01,0.05) for Q3, and 0.02 (-0.01,0.05) for Q4 compared to Q1). CONCLUSION: In this cross-sectional study, participants had a relatively modest consumption of pro-inflammatory foods, no substantial associations were observed between the diet inflammatory potential and arterial stiffness. Further longitudinal studies in larger cohorts are needed to better understand the link between inflammatory diet and arterial stiffness.

Prognostic implication of lung ultrasound in heart failure: pooled analysis of international cohorts.

BACKGROUND: Lung ultrasound (LUS) is often used to assess congestion in heart failure (HF). In this study, we assessed the prognostic role of LUS in HF patients at admission and hospital discharge, and in an out-patient setting and explored whether clinical factors (age, sex, left ventricular ejection fraction (LVEF) and atrial fibrillation) impact the prognostic value of LUS findings. Further, we assessed the incremental prognostic value of LUS on top of AHEAD and MAGGIC clinical risk scores. METHODS AND RESULTS: We pooled data of patients hospitalized for HF or followed-up in out-patient clinics from international cohorts. We enrolled 1,947 patients, at admission (n=578), discharge (n=389) and in out-patient clinic (n=980). Total LUS B-line count was calculated for the 8-zone scanning protocol. The primary outcome was a composite of re-hospitalization for HF and all-cause death. Compared to those in the lower tertiles of B-lines, patients in the highest tertile were older, more likely to have signs of HF and higher NT-proBNP levels. A higher number of B-lines was associated with increased risk of primary outcome at discharge (Tertile3 vs Tertile1: adjustedHR= 5.74 (3.26- 10.12), p<0.0001) and in out-patients (Tertile3 vs Tertile1: adjustedHR= 2.66 (1.08- 6.54), p=0.033). Age and LVEF did not influence the prognostic capacity of LUS in different clinical settings. Adding B-line count to MAGGIC and AHEAD scores improved net reclassification significantly in all three clinical settings. CONCLUSION: A higher number of B-lines in patients with HF was associated with increased risk of morbidity and mortality, regardless of the clinical setting.

Proteomic profiles of left atrial volume and its influence on response to spironolactone: Findings from the HOMAGE trial and STANISLAS cohort.

AIMS: High left ventricular filling pressure increases left atrial volume and causes myocardial fibrosis, which may decrease with spironolactone. We studied clinical and proteomic characteristics associated with left atrial volume indexed by body surface area (LAVi), and whether LAVi influences the response to spironolactone on biomarker expression and clinical variables. METHODS AND RESULTS: In the HOMAGE trial, where people at risk of heart failure were randomized to spironolactone or control, we analysed 421 participants with available LAVi and 276 proteomic measurements (Olink) at baseline, month 1 and 9 (mean age 73 ± 6 years; women 26%; LAVi 32 ± 9 ml/m2). Circulating proteins associated with LAVi were also assessed in asymptomatic individuals from a population-based cohort (STANISLAS; n = 1640; mean age 49 ± 14 years; women 51%; LAVi 23 ± 7 ml/m2). In both studies, greater LAVi was significantly associated with greater left ventricular masses and volumes. In HOMAGE, after adjustment and correction for multiple testing, greater LAVi was associated with higher concentrations of matrix metallopeptidase-2 (MMP-2), insulin-like growth factor binding protein-2 (IGFBP-2) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) (false discovery rates [FDR] <0.05). These associations were externally replicated in STANISLAS (all FDR <0.05). Among these biomarkers, spironolactone decreased concentrations of MMP-2 and NT-proBNP, regardless of baseline LAVi (pinteraction > 0.10). Spironolactone also significantly reduced LAVi, improved left ventricular ejection fraction, lowered E/e', blood pressure and serum procollagen type I C-terminal propeptide (PICP) concentration, a collagen synthesis marker, regardless of baseline LAVi (pinteraction > 0.10). CONCLUSION: In individuals without heart failure, LAVi was associated with MMP-2, IGFBP-2 and NT-proBNP. Spironolactone reduced these biomarker concentrations as well as LAVi and PICP, irrespective of left atrial size.

Serial daily lactate levels association with 30-day outcome in cardiogenic shock patients treated with VA-ECMO: a post-hoc analysis of the HYPO-ECMO study.

BACKGROUND: Reliable predictors of outcomes in venoarterial extracorporeal membrane oxygenation (VA-ECMO) therapy are limited. While elevated lactate levels over time have been linked to outcomes in cardiogenic shock (CS), their significance in VA-ECMO-treated patients remains inconclusive. METHODS: We conducted a post hoc analysis of data from the HYPO-ECMO trial, which compared normothermia to moderate hypothermia in CS patients supported by VA-ECMO. We examined daily lactate levels collected over a week to assess their correlation with 30-day mortality. RESULTS: Among the 318 out of 334 patients (95%) with baseline lactate measurements, 66 had normal levels (< 2.2 mmol/l, 21%). No difference was found in lactate course between moderate hypothermia and normothermia groups. Lactate levels were consistently higher in non-survivors at each time point (p = 0.0002). Baseline hyperlactatemia was associated with an increased risk of death (Hazard Ratio [HR]: 1.85 (1.12-3.05), p = 0.016). When considering all time points, lactate levels during the ICU stay were significantly and gradually associated with a higher risk of death (p < 0.0001). In the overall population, a decrease in lactate levels was not linked to 30-day mortality. However, patients with baseline hyperlactatemia exhibited a more significant decrease in lactate levels from day one to seven (p < 0.0001). In this group, survivors had a significantly greater decrease in lactate levels at day 1 compared to non-survivors (63% (48-77) versus 57% (21-75), p = 0.026). Patients experiencing a secondary increase in lactate (24%) had a worse prognosis (Hazard Ratio: 1.78 (1.21-2.61), p = 0.004), regardless of both baseline lactate levels and the occurrence of severe ischemic adverse events (intestinal and/or limb ischemia). CONCLUSIONS: The consistent and significant association between lactate levels, whether assessed at baseline or during ICU treatment, and the risk of mortality underscores the pivotal prognostic relevance of lactate levels in patients with CS undergoing VA-ECMO therapy. The study findings provide some novel insights, regarding the trend profile and the relevance of a second peak during the 7 day period after ECMO start. Trial Registration identifier NCT02754193 registered on 2016-04-12.

Poor in-hospital congestion improvement in acute heart failure patients classified according to LVEF: prognostic implications.

BACKGROUND: Residual congestion in acute heart failure (AHF) is associated with poor prognosis. However, there is a lack of data on the prognostic value of changes in a combined assessment of in-hospital congestion. The present study sought to assess the association between in-hospital congestion changes and subsequent prognosis according to left ventricular ejection fraction (LVEF) classification. METHODS: Patients (N=244, 80.3±7.6 years, 50.8% male) admitted for acute HF in two European tertiary care centers underwent clinical assessment (congestion score included dyspnea at rest, rales, third heart sound, jugular venous distention, peripheral edema and hepatomegaly; simplified congestion score included rales and peripheral edema), echocardiography, lung ultrasound (LUS) and natriuretic peptides (NP) measurement at admission and discharge. The primary outcome was a composite of all-cause mortality and/or HF re-hospitalization. RESULTS: In the 244 considered patients (95 HF with reduced EF, 57 HF with mildly reduced EF and 92 HF with preserved EF), patients with limited improvement in clinical congestion score (hazard ratio 2.33, 95%CI 1.51 to 3.61, p=0.0001), NP levels (2.29, 95%CI 1.55 to 3.38, p<0.0001) and the number of B-lines (6.44, 95%CI 4.19 to 9.89, p<0.001) had a significantly higher risk of outcome compared to patients experiencing more sizeable decongestion. The same pattern of association was observed when adjusting for confounding factors. A limited improvement in clinical congestion score and in the number of B-lines was related to poor prognosis for all LVEF categories. CONCLUSIONS: In AHF, the degree of congestion reduction assessed over the in-hospital stay period can stratify the subsequent event risk. Limited reduction in both clinical congestion and B-lines number are related to poor prognosis, irrespective of HF subtype.

Long-term changes in cardiac remodelling in prevalent kidney graft recipients.

BACKGROUND: Approximately 15% of kidney transplant (KT) recipients develop de novo heart failure after KT. There are scarce data reporting the long-term changes in cardiac structure and function among KT recipients. Despite the improvement in renal function, transplant-related complications as well as immunosuppressive therapy could have an impact on cardiac remodelling during follow-up. We aimed to describe the long-term changes in echocardiographic parameters in prevalent KT recipients and identify the clinical and laboratory factors associated with these changes. METHODS: A centralised blinded review of two echocardiographic examinations after KT (on average after 17 and 39 months post-KT respectively) was performed among 80 patients (age 50.4 ± 16.2, diabetes 13.8% pre-KT), followed by linear regression to identify clinico-biological factors related to echocardiographic changes. RESULTS: Left atrial volume index (LAVI) increased significantly (34.2 ± 10.8 mL/m2vs. 37.6 ± 15.0 mL/m2, annualised delta 3.1 ± 11.4 mL/m2/year; p = 0.034) while left ventricular ejection fraction (LVEF) decreased (62.1 ± 9.0% vs. 59.7 ± 9.9%, annualised delta -2.7 ± 13.6%/year; p = 0.04). Male sex (ß = 8.112 ± 2.747; p < 0.01), pre-KT hypertension (ß = 9.725 ± 4.156; p < 0.05), graft from expanded criteria donor (ß = 3.791 ± 3.587; p < 0.05), and induction by anti-thymocyte globulin (ß = 7.920 ± 2.974; p = 0.01) were associated with an increase in LAVI during follow-up. Higher haemoglobin (>12.9 g/dL) at the time of the first echocardiography (ß = 6.029 ± 2.967; p < 0.05) and ACEi/ARB therapy (ß = 8.306 ± 3.161; p < 0.05) were associated with an increase in LVEF during follow-up. CONCLUSION: This study confirms the existence of long-term cardiac remodelling after KT despite dialysis cessation, characterised by an increase in LAVI and a decrease in LVEF. A better management of anaemia and using ACEi/ARB therapy may prevent such remodelling.

When to use spironolactone, eplerenone or finerenone in the spectrum of cardiorenal diseases.

Kidney disease frequently coexists with cardiovascular (CV) diseases, and this dual presence significantly amplifies the risk of adverse clinical outcomes. Shared pathophysiological mechanisms and common CV risk factors contribute to the increased expression of mineralocorticoid receptors, which in turn can drive the progression of chronic CV-kidney disorders. The steroidal mineralocorticoid receptor antagonists (MRAs) spironolactone and eplerenone have demonstrated efficacy in improving patient outcomes in cases of heart failure with reduced ejection fraction or after a myocardial infarction, but have limited value in patients with chronic kidney disease. The non-steroidal MRA finerenone has now established itself as a foundational guideline-recommended therapy in patients with diabetic kidney disease. To date, these pharmacological agents have been developed in distinct patient populations. The consequences of their distinct pharmacological profiles necessitate further consideration. They have not undergone testing across the entire spectrum of cardiorenal scenarios, and the evidence base is currently being complemented with ongoing trials. In this review, we aim to synthesize the existing body of evidence and chart the future trajectory for the use of spironolactone, eplerenone and finerenone in improving clinical outcomes across the diverse spectrum of cardiorenal diseases. By consolidating the current state of knowledge, we seek to provide valuable insights for informed decision making in the management of patients with these complex and interconnected conditions.

Use of the Win Ratio Analysis in Critical Care Trials.

Composite outcomes are commonly used in critical care trials to estimate the treatment effect of an intervention. A significant limitation of classical analytic approaches is that they assign equal statistical importance to each component in a composite, even if these do not have the same clinical importance (i.e., in a composite of death and organ failure, death is clearly more important). The win ratio (WR) method has been proposed as an alternative for trial outcomes evaluation, as it effectively assesses events based on their clinical relevance (i.e., hierarchical order) by comparing each patient in the intervention group with their counterparts in the control group. This statistical approach is increasingly used in cardiovascular outcome trials. However, WR may be useful to unveil treatment effects also in the critical care setting, because these trials are typically moderately sized, thus limiting the statistical power to detect small differences between groups, and often rely on composite outcomes that include several components of different clinical importance. Notably, the advantages of this approach may be offset by several drawbacks (such as ignoring ties and difficulties in selecting and ranking endpoints) and challenges in appropriate clinical interpretation (i.e., establishing clinical meaningfulness of the observed effect size). In this perspective article, we present some key elements to implementing WR statistics in critical care trials, providing an overview of strengths, drawbacks, and potential applications of this method. To illustrate, we conduct a reevaluation of the HYPO-ECMO (Hypothermia during Venoarterial Extracorporeal Membrane Oxygenation) trial using the WR framework as a case example.

Multi-modality assessment of congestion in acute heart failure: Associations with left ventricular ejection fraction and prognosis.

BACKGROUND: Integrating clinical examination with ultrasound measures of congestion could improve risk stratification in patients hospitalized with acute heart failure (AHF). AIM: To investigate the prevalence of clinical, echocardiographic and lung ultrasound (LUS) signs of congestion according to left ventricular ejection fraction (LVEF) and their association with prognosis in patients with AHF. METHODS: We pooled the data of four cohorts of patients (N = 601, 74.9±10.8 years, 59 % men) with AHF and analysed six features of congestion at enrolment: clinical (peripheral oedema and respiratory rales), biochemical (BNP/NT-proBNP≥median), echocardiographic (inferior vena cava (IVC)≥21 mm, pulmonary artery systolic pressure (PASP)≥40 mmHg, E/e'≥15) and B-lines ≥25 (8-zones) in those with reduced (<40 %, HFrEF), mildly reduced (40-49 %, HFmrEF and preserved (≥50 %HFpEF) LVEF. RESULTS: Compared to patients with HFmrEF (n = 110) and HFpEF (n = 201), those with HFrEF (N = 290) had higher natriuretic peptides, but prevalence of clinical (39 %), echocardiographic (IVC≥21 mm: 56 %, E/e'≥15: 57 %, PASP≥40 mmHg: 76 %) and LUS (48 %) signs of congestion was similar. In multivariable analysis, clinical (HR: 3.24(2.15-4.86), p < 0.001), echocardiographic [(IVC≥21 mm (HR:1.91, 1.21-3.03, p=0.006); E/e'≥15 (HR:1.54, 1.04-2.28, p = 0.031)] and LUS (HR:2.08, 1.34-3.24, p = 0.001) signs of congestion were significantly associated with all-cause mortality and/or HF re-hospitalization. Adding echocardiographic and LUS features of congestion to a model than included age, sex, systolic blood pressure, clinical congestion and natriuretic peptides, improved prediction at 90 and 180 days. CONCLUSIONS: Clinical and ultrasound signs of congestion are highly prevalent in patients with AHF, regardless of LVEF and their combined assessment improves risk stratification.