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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., Competing Interests: Conflict of interest AM has received grants from Roche Diagnostics, Abbott Laboratories, 4TEEN4, and Windtree Therapeutics; honoraria for lectures from Roche Diagnostics, Bayer, and MSD; is a consultant for Corteria Pharmaceuticals, S-form Pharma, FIRE-1, Implicity, 4TEEN4, and Adrenomed; and is coinventor of a patent on combination therapy for patients having acute or persistent dyspnoea. BD, MB, CE, MN, KT, GC are employees of Momentum Research, which has received grants for research from Abbott Laboratories, Amgen, Celyad, Cirius Therapeutics, Corteria Pharmaceuticals, Heart Initiative, Sanofi, Windtree Therapeutics, and XyloCor Therapeutics. BD and GC are directors of Heart Initiative, a non-profit organisation. MAd has received speaker fees from Abbott Vascular and Medtronic. JC has received personal fees from Novartis, AstraZeneca, Boehringer Ingelheim, Roche Diagnostics, and Pfizer. AC-S has received honoraria for lectures or consultancy from AstraZeneca, Novartis, Vifor, Bayer, Merck, Sanofi, Abbott, and Boehringer Ingelheim. OC received grants from Servier. AD works for the Faculty of Medicine, Eduardo Mondlane University (Maputo, Mozambique), which received research grants from the Heart Initiative for their participation in this study. RD has received supporting fees for coordination of STRONG-HF trial activities. GF has received lecture fees or was a committee member for trials and registries sponsored by Bayer, Vifor, Boehringer Ingelheim, Medtronic, Servier and Amgen. CSPL is supported by a Clinician Scientist Award from the National Medical Research Council of Singapore; has received research support from Bayer and Roche Diagnostics; has served as consultant or on the Advisory Board/ Steering Committee/ Executive Committee for Actelion, Alleviant Medical, Allysta Pharma, Amgen, AnaCardio AB, Applied Therapeutics, AstraZeneca, Bayer, Boehringer Ingelheim, Boston Scientific, Cytokinetics, Darma Inc., EchoNous Inc, Eli Lilly, Impulse Dynamics, Intellia Therapeutics, Ionis Pharmaceutical, Janssen Research & Development LLC, Medscape/WebMD Global LLC, Merck, Novartis, Novo Nordisk, Prosciento Inc, Radcliffe Group Ltd., Redcardio Inc, ReCor Medical, Roche Diagnostics, Sanofi, Siemens Healthcare Diagnostics and Us2.ai; and serves as co-founder & non-executive director of Us2.ai. MP has received personal fees from Abbott Laboratories, AstraZeneca, Boehringer Ingelheim, Novartis, Roche Diagnostics and Vifor Pharma. PSP has received grants or research contracts from American Heart Association, Roche, Siemens, Ortho Diagnostics, Abbott, Beckman Coulter, and Siemens; consulting fees from Roche; honoraria from WebMD; and he has financial interest in The Heart Course. KS has received grants from Medtronic, Servier, and Amylam and honoraria from MSD, Novartis, and Sanofi. AAV has received consultancy fees or research support from AstraZeneca, Bayer, BMS, Boehringer Ingelheim, Cytokinetics, Myocardia, Merck, Novartis, Novo Nordisk, and Roche Diagnostics. All other authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Aims: Aims were to evaluate (1) reclassification of patients from heart failure with mildly reduced (HFmrEF) to reduced (HFrEF) ejection fraction when an EF = 40% was considered as HFrEF, (2) role of EF digit bias, ie, EF reporting favouring 5% increments; (3) outcomes in relation to missing and biased EF reports, in a large multinational HF registry., Methods and Results: Of 25,154 patients in the European Society of Cardiology (ESC) HF Long-Term registry, 17% had missing EF and of those with available EF, 24% had HFpEF (EF≥50%), 21% HFmrEF (40%-49%) and 55% HFrEF (<40%) according to the 2016 ESC guidelines´ classification. EF was "exactly" 40% in 7%, leading to reclassifying 34% of the HFmrEF population defined as EF = 40% to 49% to HFrEF when applying the 2021 ESC Guidelines classification (14% had HFmrEF as EF = 41% to 49% and 62% had HFrEF as EF≤40%). EF was reported as a value ending with 0 or 5 in ∼37% of the population. Such potential digit bias was associated with more missing values for other characteristics and higher risk of all-cause death and HF hospitalization. Patients with missing EF had higher risk of all-cause and CV mortality, and HF hospitalization compared to those with recorded EF., Conclusions: Many patients had reported EF = 40%. This led to substantial reclassification of EF from old HFmrEF (40%-49%) to new HFrEF (≤40%). There was considerable digit bias in EF reporting and missing EF reporting, which appeared to occur not at random and may reflect less rigorous overall care and worse outcomes., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: In international trials, glucagon-like protein-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT2Is) were effective in improving cardiovascular (CV) outcomes., Methods: We assessed the effect of GLP-1RAs and SGLT2Is treatment effect on CV endpoints by geographical region in multiple international trials using random effects weighted least squares meta-regressions., Results: The estimated effects of both SGLT2Is and GLP-1RAs on major adverse CV events (MACE) in North America (SGLT2Is n = 12,399, HR 0.90, 95% CI 0.81-1.01; GLP-1RAs n = 12,515, HR 0.95, 95% CI 0.83- 1.09) and in Europe (SGLT2Is n = 19,435, HR 0.93, 95% CI 0.85-1.02; GLP-1RAs n = 22,812, HR 0.88, 95% CI 0.79-0.99) were numerically lower but not statistically different to the rest of the world (ROW) (SGLT2Is n = 15,127, HR 0.83, 95% CI 0.75-0.92, p-value for interaction 0.26; GLP-1RAs n = 17,494, HR 0.82, 95% CI 0.73-0.92, p-value for interaction 0.28). Effects of SGLT2Is on heart failure readmission or CV death varied significantly by region (P = 0.0094). The effect of SGLT2Is was significantly smaller in Europe (n = 18,653, HR 0.86, 95% CI 0.78-0.95) than in the ROW (n = 12,463, HR 0.68, 95% CI 0.61-0.76, P = 0.0024). The smaller effect in North America (n = 9776, HR 0.76, 95% CI 0.66-0.87) did not differ significantly from that in the ROW (P = 0.2370)., Conclusion: The effects of SGLT2Is on HF events are larger in the ROW. Further analyses and studies are needed to better elucidate the differential effects of SGLTIs and GLP-1RAs by geographical regions., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Recent international phase III clinical trials of novel therapies for hospitalized heart failure (HHF) have failed to improve the unacceptably high postdischarge event rate. These large studies have demonstrated notable geographic and site-specific variation in patient profiles and enrollment. Possible contributors to the lack of success in HHF outcome trials include challenges in selecting clinical sites capable of (1) providing adequate numbers of appropriately selected patients and (2) properly executing the study protocol. We propose a "pretrial registry" as a novel tool for improving the efficiency and quality of international HHF trials by focusing on the selection and cultivation of high-quality sites. A pretrial registry may help assess a site's ability to achieve adequate enrollment of the target patient population, integrate protocol requirements into clinical workflow, and accomplish appropriate follow-up. Although such a process would be associated with additional upfront resource investment, this appropriation may be modest in comparison with the downstream costs associated with maintenance of poorly performing sites, failed clinical trials, and the global health and economic burden of HHF. This review is based on discussions between scientists, clinical trialists, and regulatory representatives regarding methods for improving international HHF trials that took place at the United States Food and Drug Administration on January 12th, 2012., (Copyright © 2014 Mosby, Inc. All rights reserved.)

Aims: The objective of the RO-AHFS registry was to evaluate the epidemiology, clinical presentation, inpatient management, and hospital course in a population hospitalized for acute heart failure syndromes., Methods: During a 12-month period, 13 Romanian medical centers enrolled all consecutive patients hospitalized with a primary diagnosis of AHFS. Patients were classified into the following 5 clinical profiles at admission: acute decompensated heart failure, cardiogenic shock, pulmonary edema, right heart failure, and hypertensive heart failure. Statistical significance was assessed using Fisher exact test or the χ(2) test for categorical variables and a 1-way analysis of variance for continuous variables. Independent predictors of in-hospital all-cause mortality (ACM) were identified using a multivariate logistic regression model., Results: A total of 3,224 consecutive patients hospitalized with AHFS were enrolled. The cohort had a mean age of 69.2 ± 11.8 years and 56% were men. The mean left ventricular ejection fraction was 37.7% ± 12.5%. The percentage of patients treated with evidence-based heart failure therapies increased from admission to discharge, but even at discharge, only 56%, 66%, and 54% of patients were on a β-blocker, an angiotensin-converting enzyme inhibitors or an angiotensin receptor blocker, and a mineralocorticoid receptor antagonist, respectively. In-hospital ACM was 7.7% with substantial variation between sites (4.1%-11.0%). Increasing age, inotrope therapy, the presence of life-threatening ventricular arrhythmias, and elevated baseline blood urea nitrogen were all found to be independent risk factors for in-hospital ACM, whereas elevated systolic blood pressure and baseline treatment with a β-blocker had a protective effect., Conclusions: The RO-AHFS study found substantial variation both among sites and between Romania and other European countries. National and regional registries have important clinical implications for patient care and the design and conduct of global clinical trials., (Copyright © 2011 Mosby, Inc. All rights reserved.)