Insights on prevalence and incidence of anemia and rapid up-titration of oral heart failure treatment from the STRONG-HF study.

BACKGROUND: Anemia is one of the most frequent comorbidities in patients with heart failure (HF), which potentially can interfere with the effect of guideline-recommended HF medical therapy and can be associated with the use of neurohormonal blockers. AIM: The aim of this analysis was to determine the prevalence and changes of anemia status in the STRONG-HF study, its association with clinical endpoints, and possible interaction of the presence of anemia with the efficacy and safety of high-intensity HF treatment. METHODS: The design and main results of the study have been previously described. Patients were randomized within 2 days prior to anticipated hospital discharge after HF worsening in a 1:1 fashion to either high-intensity care (HIC) or usual care (UC). Baseline characteristics, clinical and safety outcomes, and treatment effect of HIC vs. UC on the primary and secondary outcomes were compared in groups based on baseline anemia. In addition, dynamics of hemoglobin during the study follow-up and predictors of incident anemia at 90 days were investigated. RESULTS: The proportion of anemia in 1077 STRONG-HF patients at enrollment was 27.2%, while at 90 days, it changed to 32.1%. The primary composite outcome occurred in 18.2% of patients without baseline anemia, and 22.5% of patients with baseline anemia (unadjusted HR 1.27; 95% CI 0.90-1.80), a difference that did not reach statistical significance. However, patients with baseline anemia had significantly less improvement of EQ-VAS questionnaire values from baseline to day 90 (adjusted LS-Mean difference -2.34 (-4.37, -0.31), P = 0.02). During the study, anemia developed in 19.4 and 14.6% in HIC and UC groups, respectively. The opposite phenomenon-recovery of anemia-occurred in 27.6 and 28.8% in HIC and UC groups (P = 0.1379). The predictors of incident anemia at 90 days were male sex, geographical region other than Europe, ischemic etiology, higher glucose, and elevated uric acid at baseline. The percentages of optimal doses of renin-angiotensin system inhibitors, beta-blockers, and mineralocorticoid receptor antagonists were not different between anemic and non-anemic patients. High-intensity care strategy did not increase rate of incident anemia at 90 days and reduced the rate of primary and secondary endpoints regardless of baseline hemoglobin. CONCLUSION: Hemoglobin level and status of anemia have a dynamic nature in the acute HF patients in the post-discharge period dependent on multiple factors. High-intensity HF treatment is safe and beneficial regardless of baseline hemoglobin level and presence of anemia. The improvement of quality of life is significantly lower in anemic HF patients implying specific attention to correction of this condition.

Impact of age on clinical outcomes and response to serelaxin in patients with acute heart failure: An analysis from the RELAX-AHF-2 trial.

AIMS: Acute heart failure (AHF) is a major cause of hospitalizations and death in the elderly. However, elderly patients are often underrepresented in randomized clinical trials. We analysed the impact of age on clinical outcomes and response to treatment in patients enrolled in Relaxin in Acute Heart Failure (RELAX-AHF-2), a study that included older patients than in previous AHF trials. METHODS AND RESULTS: The RELAX-AHF-2 randomized patients admitted for AHF to infusion of serelaxin or placebo. We examined the association of pre-specified clinical outcomes and treatment effect according to age categories [(years): <65 (n = 1411), 65-74 (n = 1832), 75-79 (n = 1222), 80-84 (n = 1156) and ≥85 (n = 924)]. The mean age of the 6545 patients enrolled in RELAX-AHF-2 was 73.0 ± 11 years. The risk of all-cause and cardiovascular (CV) death (all p < 0.001) as well as the composite endpoint of CV death or heart failure/renal failure rehospitalization through 180 days (p = 0.002) and hospital discharge through day 60 (p = 0.013) were all directly associated with age categories. Age remained independently associated with outcomes after adjustment for clinical confounders and the results were consistent when age was analysed continuously. No clinically significant change in treatment effects of serelaxin was observed across age categories for the pre-specified endpoints (interaction p > 0.05). CONCLUSION: Elderly patients are at higher risk of short- and long-term CV outcomes after a hospitalization for AHF. Further efforts are needed to improve CV outcomes in this population.

Clinical and utilization outcomes with short stay units vs hospital admission for lower risk decompensated heart failure: a systematic review and meta-analysis.

With over 1 million primary heart failure (HF) hospitalizations annually, nearly 80% of patients who present to the emergency department with decompensated HF (DHF) are hospitalized. Short stay units (SSU) present an alternative to hospitalization, yet the effectiveness of the SSU strategy of care is not well known. This study is to determine the effectiveness of a SSU strategy compared with hospitalization in lower-risk patients with DHF. Our primary outcome was a composite of 30-day mortality and re-hospitalization. Key secondary outcomes included 90-day mortality and re-hospitalization, costs, and 30-day days-alive-and-out-of-hospital (DAOOH). This is a systematic review and meta-analysis, following PRISMA guidelines. MEDLINE, EMBASE, CENTRAL, CINAHL, SCOPUS, and Web of Science were searched from inception through February 2024. Either randomized trials or comparative observational studies were included if they compared outcomes between low-risk ED DHF patients admitted to an SSU (defined as an observation unit with expected stay ≤ 48 h) vs. admitted to the hospital. Two authors independently screened all titles and abstracts and then identified full texts for inclusion. Data extraction and risk of bias assessments were performed by two authors in parallel. The primary outcome was a composite of death or readmission within 30 days, reported as relative risk (RR), where a RR < 1 favored the SSU strategy. Secondary outcomes included 90-day mortality and re-hospitalization, costs, and 1-month days-alive-and-out-of-hospital (DAOOH). Of the 467 articles identified by our search strategy, only 3 full text articles were included. In meta-analysis for the primary outcome of 30-day death or readmission, the RR was 0.95 (95% CI = 0.56 to 1.63; I2 = 0%) for patients randomized to SSU vs hospitalization (2 studies, 241 patients). There were only 2 total deaths at 30 days in the 2 studies (total N = 258) which reported 30-day mortality, both in hospitalized patients. Only one study reported 90-day outcomes, showing no significant differences. Costs were lower in the SSU arm from one study, and 30-day DAOOH also favored SSU based on a single randomized trial. Based on very limited evidence, SSU provides similar efficacy for 30-day and 90-day mortality and readmission compared to hospitalization. An SSU strategy appears safe and may be cost effective.

Rapid Uptitration of Guideline-Directed Medical Therapies in Acute Heart Failure With and Without Atrial Fibrillation.

BACKGROUND: Rapid uptitration of guideline-directed medical therapy (GDMT) before and after discharge in hospitalized heart failure (HF) patients is feasible, is safe, and improves outcomes; whether this is also true in patients with coexistent atrial fibrillation/flutter (AF/AFL) is not known. OBJECTIVES: This study sought to investigate whether rapid GDMT uptitration before and after discharge for HF is feasible, safe and beneficial in patients with and without AF/AFL. METHODS: In this secondary analysis of the STRONG-HF (Safety, Tolerability, and Efficacy of Rapid Optimization, Helped by NT-proBNP Testing, of Heart Failure Therapies) trial, GDMT uptitration and patient outcomes were analyzed by AF/AFL status and type (permanent, persistent, paroxysmal). RESULTS: Among 1,078 patients enrolled in STRONG-HF, 496 (46%) had a history of AF, including 238 assigned to high-intensity care (HIC) and 258 to usual care (UC), and 581 did not have a history of AF/AFL, including 304 assigned to HIC and 277 to UC. By day 90, the average percent optimal dose of neurohormonal inhibitors achieved in the HIC arm was similar in patients with and without AF/AFL, reaching approximately 80% of the optimal dose (average absolute difference between AF/AFL and non-AF/AFL groups: -0.81%; 95% CI: -3.51 to 1.89). All-cause death or HF readmission by day 180 occurred less frequently in the HIC than the UC arm, both in patients with and without AF (adjusted HR: 0.75 [95% CI: 0.48-1.19] in AF vs adjusted HR: 0.50 [95% CI: 0.31-0.79] in non-AF/AFL patients; P for interaction = 0.2107). Adverse event rates were similar in patients with and without AF/AFL. AF/AFL type did not affect either uptitration or patient outcomes. CONCLUSIONS: Nearly half of acute HF patients have AF/AFL history. Rapid GDMT uptitration before and early after discharge is feasible, is safe, and may improve outcomes regardless of AF presence or type. (Safety, Tolerability, and Efficacy of Rapid Optimization, Helped by NT-proBNP Testing, of Heart Failure Therapies [STRONG-HF]; NCT03412201).

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.

Bereavement scheduling policy for emergency medicine residents: A descriptive pilot study.

Background: The Accreditation Council for Graduate Medical Education has tasked residency programs to prioritize resident wellness, reduce trainee stress, and prevent burnout. Grief and bereavement can significantly impact residents' wellness during difficult clinical training schedules. There are no best practices on how to support residents during this time. Methods: In a split academic county emergency medicine (EM) residency, this pilot study documents a resident-driven change to scheduling practices for bereavement leave. An advisory group of residents, chief residents, and program directors informally polled peer institutions to develop bereavement leave guidelines. Considerations were made to balance resident wellness, education, and patient care in developing a bereavement scheduling policy. Results: The bereavement policy was adopted in January 2023, aiming to "support the resident during a difficult time and reduce concerns around shift coverage" following the death of a family member without impacting sick call. The number of covered days depended on the relationship of the resident to the deceased. Residents covering bereavement days for their peers were financially compensated. During the first 7 months following implementation, five residents utilized the policy. These residents noted this to be the most positive impact on the residency during the past year. Based on resident feedback, the scope was expanded to include grave medical illness of a family member as an implementation criterion. Conclusions: This article outlines the creation, implementation, and benefits of a bereavement scheduling policy within an EM residency. Describing this approach will provide guidance for other residencies to adopt similar wellness-focused strategies.

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.

Patient Comments and Patient Experience Ratings Are Strongly Correlated With Emergency Department Wait Times.

BACKGROUND AND OBJECTIVES: Hospitals and clinicians increasingly are reimbursed based on quality of care through financial incentives tied to value-based purchasing. Patient-centered care, measured through patient experience surveys, is a key component of many quality incentive programs. We hypothesize that operational aspects such as wait times are an important element of emergency department (ED) patient experience. The objectives of this paper are to determine (1) the association between ED wait times and patient experience and (2) whether patient comments show awareness of wait times. METHODS: This is a cross-sectional observational study from January 1, 2019, to December 31, 2020, across 16 EDs within a regional health care system. Patient and operations data were obtained as secondary data through internal sources and merged with primary patient experience data from our data analytics team. Dependent variables are (1) the association between ED wait times in minutes and patient experience ratings and (2) the association between wait times in minutes and patient comments including the term wait (yes/no). Patients rated their "likelihood to recommend (LTR) an ED" on a 0 to 10 scale (categories: "Promoter" = 9-10, "Neutral" = 7-8, or "Detractor" = 0-6). Our aggregate experience rating, or Net Promoter Score (NPS), is calculated by the following formula for each distinct wait time (rounded to the nearest minute): NPS = 100* (# promoters - # detractors)/(# promoters + # neutrals + # detractors). Independent variables for patient age and gender and triage acuity, were included as potential confounders. We performed a mixed-effect multivariate ordinal logistic regression for the rating category as a function of 30 minutes waited. We also performed a logistic regression for the percentage of patients commenting on the wait as a function of 30 minutes waited. Standard errors are adjusted for clustering between the 16 ED sites. RESULTS: A total of 50 833 unique participants completed an experience survey, representing a response rate of 8.1%. Of these respondents, 28.1% included comments, with 10.9% using the term "wait." The odds ratio for association of a 30-minute wait with LTR category is 0.83 [0.81, 0.84]. As wait times increase, the odds of commenting on the wait increase by 1.49 [1.46, 1.53]. We show policy-relevant bubble plot visualizations of these two relationships. CONCLUSIONS: Patients were less likely to give a positive patient experience rating as wait times increased, and this was reflected in their comments. Improving on the factors contributing to ED wait times is essential to meeting health care systems' quality initiatives.

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.

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).

Impact of Rapid Up-Titration of Guideline-Directed Medical Therapies on Quality of Life: Insights From the STRONG-HF Trial.

BACKGROUND: This analysis provides details on baseline and changes in quality of life (QoL) and its components as measured by EQ-5D-5L questionnaire, as well as association with objective outcomes, applying high-intensity heart failure (HF) care in patients with acute HF. METHODS: In STRONG-HF trial (Safety, Tolerability, and Efficacy of Rapid Optimization, Helped by NT-proBNP Testing, of Heart Failure Therapies) patients with acute HF were randomized just before discharge to either usual care or a high-intensity care strategy of guideline-directed medical therapy up-titration. Patients ranked their state of health on the EQ-5D visual analog scale score ranging from 0 (the worst imaginable health) to 100 (the best imaginable health) at baseline and at 90 days follow-up. RESULTS: In 1072 patients with acute HF with available assessment of QoL (539/533 patients assigned high-intensity care/usual care) the mean baseline EQ-visual analog scale score was 59.2 (SD, 15.1) with no difference between the treatment groups. Patients with lower baseline EQ-visual analog scale (meaning worse QoL) were more likely to be women, self-reported Black and non-European (P<0.001). The strongest independent predictors of a greater improvement in QoL were younger age (P<0.001), no HF hospitalization in the previous year (P<0.001), lower NYHA class before hospital admission (P<0.001) and high-intensity care treatment (mean difference, 4.2 [95% CI, 2.5-5.8]; P<0.001). No statistically significant heterogeneity in the benefits of high-intensity care was seen across patient subgroups of different ages, with left ventricular ejection fraction above or below 40%, NT-proBNP (N-terminal pro-B-type natriuretic peptide) and systolic blood pressure above or below the median value. The treatment effect on the primary end point did not vary significantly across baseline EQ-visual analog scale (Pinteraction=0.87). CONCLUSIONS: Early up-titration of guideline-directed medical therapy significantly improves all dimensions of QoL in patients with HF and improves prognosis regardless of baseline self-assessed health status. The likelihood of achieving optimal doses of HF medications does not depend on baseline QoL. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03412201.

Blood pressure and intensive treatment up-titration after acute heart failure hospitalization: Insights from the STRONG-HF trial.

AIMS: A high-intensity care (HIC) strategy with rapid guideline-directed medical therapy (GDMT) up-titration and close follow-up visits improved outcomes, compared to usual care (UC), in patients recently hospitalized for acute heart failure (AHF). Hypotension is a major limitation to GDMT implementation. We aimed to assess the impact of baseline systolic blood pressure (SBP) on the effects of HIC versus UC and the role of early SBP changes in STRONG-HF. METHODS AND RESULTS: A total of 1075 patients hospitalized for AHF with SBP ≥100 mmHg were included in STRONG-HF. For the purpose of this post-hoc analysis, patients were stratified by tertiles of baseline SBP (<118, 118-128, and ≥129 mmHg) and, in the HIC arm, by tertiles of changes in SBP from the values measured before discharge to those measured at 1 week after discharge (≥2 mmHg increase, ≤7 mmHg decrease to <2 mmHg increase, and ≥8 mmHg decrease). The primary endpoint was 180-day heart failure rehospitalization or death. The effect of HIC versus UC on the primary endpoint was independent of baseline SBP evaluated as tertiles (pinteraction = 0.77) or as a continuous variable (pinteraction = 0.91). In the HIC arm, patients with increased, stable and decreased SBP at 1 week reached 83.5%, 76.2% and 75.3% of target doses of GDMT at day 90. The risk of the primary endpoint was not significantly different between patients with different SBP changes at 1 week (adjusted p = 0.46). CONCLUSIONS: In STRONG-HF, the benefits of HIC versus UC were independent of baseline SBP. Rapid GDMT up-titration was performed also in patients with an early SBP drop, resulting in similar 180-day outcome as compared to patients with stable or increased SBP.

Short-Stay Units vs Routine Admission From the Emergency Department in Patients With Acute Heart Failure: The SSU-AHF Randomized Clinical Trial.

Importance: More than 80% of patients who present to the emergency department (ED) with acute heart failure (AHF) are hospitalized. With more than 1 million annual hospitalizations for AHF in the US, safe and effective alternatives are needed. Care for AHF in short-stay units (SSUs) may be safe and more efficient than hospitalization, especially for lower-risk patients, but randomized clinical trial data are lacking. Objective: To compare the effectiveness of SSU care vs hospitalization in lower-risk patients with AHF. Design, Setting, and Participants: This multicenter randomized clinical trial randomly assigned low-risk patients with AHF 1:1 to SSU or hospital admission from the ED. Patients received follow-up at 30 and 90 days post discharge. The study began December 6, 2017, and was completed on July 22, 2021. The data were analyzed between March 27, 2020, and November 11, 2023. Intervention: Randomized post-ED disposition to less than 24 hours of SSU care vs hospitalization. Main Outcomes and Measures: The study was designed to detect at least 1-day superiority for a primary outcome of days alive and out of hospital (DAOOH) at 30-day follow-up for 534 participants, with an allowance of 10% participant attrition. Due to the COVID-19 pandemic, enrollment was truncated at 194 participants. Before unmasking, the primary outcome was changed from DAOOH to an outcome with adequate statistical power: quality of life as measured by the 12-item Kansas City Cardiomyopathy Questionnaire (KCCQ-12). The KCCQ-12 scores range from 0 to 100, with higher scores indicating better quality of life. Results: Of the 193 patients enrolled (1 was found ineligible after randomization), the mean (SD) age was 64.8 (14.8) years, 79 (40.9%) were women, and 114 (59.1%) were men. Baseline characteristics were balanced between arms. The mean (SD) KCCQ-12 summary score between the SSU and hospitalization arms at 30 days was 51.3 (25.7) vs 45.8 (23.8) points, respectively (P = .19). Participants in the SSU arm had 1.6 more DAOOH at 30-day follow-up than those in the hospitalization arm (median [IQR], 26.9 [24.4-28.8] vs 25.4 [22.0-27.7] days; P = .02). Adverse events were uncommon and similar in both arms. Conclusions and Relevance: The findings show that the SSU strategy was no different than hospitalization with regard to KCCQ-12 score, superior for more DAOOH, and safe for lower-risk patients with AHF. These findings of lower health care utilization with the SSU strategy need to be definitively tested in an adequately powered study. Trial Registration: ClinicalTrials.gov Identifier: NCT03302910.

The prognostic value of improving congestion on lung ultrasound during treatment for acute heart failure differs based on patient characteristics at admission.

BACKGROUND: Lung ultrasound congestion scoring (LUS-CS) is a congestion severity biomarker. The BLUSHED-AHF trial demonstrated feasibility for LUS-CS-guided therapy in acute heart failure (AHF). We investigated two questions: 1) does change (∆) in LUS-CS from emergency department (ED) to hospital-discharge predict patient outcomes, and 2) is the relationship between in-hospital decongestion and adverse events moderated by baseline risk-factors at admission? METHODS: We performed a secondary analysis of 933 observations/128 patients from 5 hospitals in the BLUSHED-AHF trial receiving daily LUS. ∆LUS-CS from ED arrival to inpatient discharge (scale -160 to +160, where negative = improving congestion) was compared to a primary outcome of 30-day death/AHF-rehospitalization. Cox regression was used to adjust for mortality risk at admission [Get-With-The-Guidelines HF risk score (GWTG-RS)] and the discharge LUS-CS. An interaction between ∆LUS-CS and GWTG-RS was included, under the hypothesis that the association between decongestion intensity (by ∆LUS-CS) and adverse outcomes would be stronger in admitted patients with low-mortality risk but high baseline congestion. RESULTS: Median age was 65 years, GWTG-RS 36, left ventricular ejection fraction 36 %, and ∆LUS-CS -20. In the multivariable analysis ∆LUS-CS was associated with event-free survival (HR = 0.61; 95 % CI: 0.38-0.97), while discharge LUS-CS (HR = 1.00; 95%CI: 0.54-1.84) did not add incremental prognostic value to ∆LUS-CS alone. As GWTG-RS rose, benefits of LUS-CS reduction attenuated (interaction p < 0.05). ∆LUS-CS and event-free survival were most strongly correlated in patients without tachycardia, tachypnea, hypotension, hyponatremia, uremia, advanced age, or history of myocardial infarction at ED/baseline, and those with low daily loop diuretic requirements. CONCLUSIONS: Reduction in ∆LUS-CS during AHF treatment was most associated with improved readmission-free survival in heavily congested patients with otherwise reassuring features at admission. ∆LUS-CS may be most useful as a measure to ensure adequate decongestion prior to discharge, to prevent early readmission, rather than modify survival.

Safety Indicators in Patients Receiving High-intensity Care After Hospital Admission for Acute Heart Failure: The STRONG-HF Trial.

BACKGROUND: Safety, Tolerability and Efficacy of Rapid Optimization, Helped by NT-proBNP Testing, of Heart Failure Therapies (STRONG-HF) demonstrated the safety and efficacy of rapid up-titration of guideline-directed medical therapy (GDMT) with high-intensity care (HIC) compared with usual care in patients hospitalized for acute heart failure (HF). In the HIC group, the following safety indicators were used to guide up-titration: estimated glomerular filtration rate of <30 mL/min/1.73 m2, serum potassium of >5.0 mmol/L, systolic blood pressure (SBP) of <95 mmHg, heart rate of <55 bpm, and N-terminal pro-B-type natriuretic peptide concentration of >10% higher than predischarge values. METHODS AND RESULTS: We examined the impact of protocol-specified safety indicators on achieved dose of GDMT and clinical outcomes. Three hundred thirteen of the 542 patients in the HIC arm (57.7%) met ≥1 safety indicator at any follow-up visit 1-6 weeks after discharge. As compared with those without, patients meeting ≥1 safety indicator had more severe HF symptoms, lower SBP, and higher heart rate at baseline and achieved a lower average percentage of GDMT optimal doses (mean difference vs the HIC arm patients not reaching any safety indicator, -11.0% [95% confidence interval [CI] -13.6 to -8.4%], P < .001). The primary end point of 180-day all-cause death or HF readmission occurred in 15.0% of patients with any safety indicator vs 14.2% of those without (adjusted hazard ratio 0.84, 95% CI 0.48-1.46, P = .540). None of each of the safety indicators, considered alone, was significantly associated with the primary end point, but an SBP of <95 mm Hg was associated with a trend toward increased 180-day all-cause mortality (adjusted hazard ratio 2.68, 95% CI 0.94-7.64, P = .065) and estimated glomerular filtration rate decreased to <30 mL/min/1.73 m2 with more HF readmissions (adjusted hazard ratio 3.60, 95% CI 1.22-10.60, P = .0203). The occurrence of a safety indicator was associated with a smaller 90-day improvement in the EURO-QoL 5-Dimension visual analog scale (adjusted mean difference -3.32 points, 95% CI -5.97 to -0.66, P = .015). CONCLUSIONS: Among patients with acute HF enrolled in STRONG-HF in the HIC arm, the occurrence of any safety indicator was associated with the administration of slightly lower GDMT doses and less improvement in quality of life, but with no significant increase in the primary outcome of 180-day HF readmission or death when appropriately addressed according to the study protocol.

Optimization of Evidence-Based Heart Failure Medications After an Acute Heart Failure Admission: A Secondary Analysis of the STRONG-HF Randomized Clinical Trial.

Importance: The Safety, Tolerability, and Efficacy of Rapid Optimization, Helped by N-Terminal Pro-Brain Natriuretic Peptide Testing of Heart Failure Therapies (STRONG-HF) trial strived for rapid uptitration aiming to reach 100% optimal doses of guideline-directed medical therapy (GDMT) within 2 weeks after discharge from an acute heart failure (AHF) admission. Objective: To assess the association between degree of GDMT doses achieved in high-intensity care and outcomes. Design, Setting, and Participants: This was a post hoc secondary analysis of the STRONG-HF randomized clinical trial, conducted from May 2018 to September 2022. Included in the study were patients with AHF who were not treated with optimal doses of GDMT before and after discharge from an AHF admission. Data were analyzed from January to October 2023. Interventions: The mean percentage of the doses of 3 classes of HF medications (renin-angiotensin system inhibitors, ß-blockers, and mineralocorticoid receptor antagonists) relative to their optimal doses was computed. Patients were classified into 3 dose categories: low (<50%), medium (≥50% to <90%), and high (≥90%). Dose and dose group were included as a time-dependent covariate in Cox regression models, which were used to test whether outcomes differed by dose. Main Outcome Measures: Post hoc secondary analyses of postdischarge 180-day HF readmission or death and 90-day change in quality of life. Results: A total of 515 patients (mean [SD] age, 62.7 [13.4] years; 311 male [60.4%]) assigned high-intensity care were included in this analysis. At 2 weeks, 39 patients (7.6%) achieved low doses, 254 patients (49.3%) achieved medium doses, and 222 patients (43.1%) achieved high doses. Patients with lower blood pressure and more congestion were less likely to be uptitrated to optimal GDMT doses at week 2. As a continuous time-dependent covariate, an increase of 10% in the average percentage optimal dose was associated with a reduction in 180-day HF readmission or all-cause death (primary end point: adjusted hazard ratio [aHR], 0.89; 95% CI, 0.81-0.98; P = .01) and a decrease in 180-day all-cause mortality (aHR, 0.84; 95% CI, 0.73-0.95; P = .007). Quality of life at 90 days, measured by the EQ-5D visual analog scale, improved more in patients treated with higher doses of GDMT (mean difference, 0.10; 95% CI, -4.88 to 5.07 and 3.13; 95% CI, -1.98 to 8.24 points in the medium- and high-dose groups relative to the low-dose group, respectively; P = .07). Adverse events to day 90 occurred less frequently in participants with HIC who were prescribed higher GDMT doses at week 2. Conclusions and Relevance: Results of this post hoc analysis of the STRONG-HF randomized clinical trial show that, among patients randomly assigned to high-intensity care, achieving higher doses of HF GDMT 2 weeks after discharge was feasible and safe in most patients. Trial Registration: ClinicalTrials.gov Identifier: NCT03412201.

An updated nuclear-physics and multi-messenger astrophysics framework for binary neutron star mergers.

The multi-messenger detection of the gravitational-wave signal GW170817, the corresponding kilonova AT2017gfo and the short gamma-ray burst GRB170817A, as well as the observed afterglow has delivered a scientific breakthrough. For an accurate interpretation of all these different messengers, one requires robust theoretical models that describe the emitted gravitational-wave, the electromagnetic emission, and dense matter reliably. In addition, one needs efficient and accurate computational tools to ensure a correct cross-correlation between the models and the observational data. For this purpose, we have developed the Nuclear-physics and Multi-Messenger Astrophysics framework NMMA. The code allows incorporation of nuclear-physics constraints at low densities as well as X-ray and radio observations of isolated neutron stars. In previous works, the NMMA code has allowed us to constrain the equation of state of supranuclear dense matter, to measure the Hubble constant, and to compare dense-matter physics probed in neutron-star mergers and in heavy-ion collisions, and to classify electromagnetic observations and perform model selection. Here, we show an extension of the NMMA code as a first attempt of analyzing the gravitational-wave signal, the kilonova, and the gamma-ray burst afterglow simultaneously. Incorporating all available information, we estimate the radius of a 1.4M⊙ neutron star to be [Formula: see text] km.

Early changes in renal function during rapid up-titration of guideline-directed medical therapy following an admission for acute heart failure.

AIM: In this subgroup analysis of STRONG-HF, we explored the association between changes in renal function and efficacy of rapid up-titration of guideline-directed medical therapy (GDMT) according to a high-intensity care (HIC) strategy. METHODS AND RESULTS: In patients randomized to the HIC arm (n = 542), renal function was assessed at baseline and during follow-up visits. We studied the association with clinical characteristics and outcomes of a decrease in estimated glomerular filtration rate (eGFR) at week 1, defined as ≥15% decrease from baseline. Patients in the usual care group (n = 536) were seen at day 90. The treatment effect of HIC versus usual care was independent of baseline eGFR (p-interaction = 0.4809). A decrease in eGFR within 1 week occurred in 77 (15.5%) patients and was associated with more rales on examination (p = 0.004), and a higher New York Heart Association class at the corresponding visit. Following the decrease in eGFR at 1 week, lower average optimal doses of GDMT were prescribed during follow-up (p = 0.0210) and smaller reductions in N-terminal pro-B-type natriuretic peptide occurred (geometrical mean 0.81 in no eGFR decrease vs 1.12 in GFR decrease, p = 0.0003). The rate of heart failure (HF) readmission or death at 180 days was 12.3% in no eGFR decrease versus 18.5% in eGFR decrease (p = 0.2274) and HF readmissions were 7.8% versus 16.6% (p = 0.0496). CONCLUSIONS: In the STRONG-HF study, HIC reduced 180-day HF readmission or death regardless of baseline eGFR. An early decrease in eGFR during rapid up-titration of GDMT was associated with more evidence of congestion, yet lower doses of GDMT during follow-up.

Non-cardiac comorbidities and intensive up-titration of oral treatment in patients recently hospitalized for heart failure: Insights from the STRONG-HF trial.

AIMS: To assess the potential interaction between non-cardiac comorbidities (NCCs) and the efficacy and safety of high-intensity care (HIC) versus usual care (UC) in the STRONG-HF trial, including stable patients with improved but still elevated natriuretic peptides. METHODS AND RESULTS: In the trial, eight NCCs were reported: anaemia, diabetes, renal dysfunction, severe liver disease, chronic obstructive pulmonary disease/asthma, stroke/transient ischaemic attack, psychiatric/neurological disorders, and malignancies. Patients were classified by NCC number (0, 1, 2 and ≥3). The treatment effect of HIC versus UC on the primary endpoint, 180-day death or heart failure (HF) rehospitalization, was compared by NCC number and by each individual comorbidity. Among the 1078 patients, the prevalence of 0, 1, 2 and ≥3 NCCs was 24.3%, 39.8%, 24.5% and 11.4%, respectively. Achievement of full doses of HF therapies at 90 and 180 days in the HIC was similar irrespective of NCC number. In HIC, the primary endpoint occurred in 10.0%, 16.6%, 13.6% and 26.2%, in those with 0, 1, 2 and ≥3 NCCs, respectively, as compared to 19.1%, 25.4%, 23.3% and 26.2% in UC (interaction-p = 0.80). The treatment benefit of HIC versus UC on the primary endpoint did not differ significantly by each individual comorbidity. There was no significant treatment interaction by NCC number in quality-of-life improvement (p = 0.98) or the incidence of serious adverse events (p = 0.11). CONCLUSIONS: In the STRONG-HF trial, NCCs neither limited the rapid up-titration of HF therapies, nor attenuated the benefit of HIC on the primary endpoint. In the context of a clinical trial, the benefit-risk ratio favours the rapid up-titration of HF therapies even in patients with multiple NCCs.