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Enregistrement W4406440066 · doi:10.1093/ehjacc/zuaf009

Looking back, moving forward: a bold start to 2025

2025· article· en· W4406440066 sur OpenAlexaff
Pascal Vranckx, David A. Morrow, Sean van Diepen, Frederik H. Verbrugge

Notice bibliographique

RevueEuropean Heart Journal Acute Cardiovascular Care · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueBiotechnology and Related Fields
Établissements canadiensCanadian VIGOUR CentreUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicinePhysical medicine and rehabilitation

Résumé

récupéré en direct d'OpenAlex

As we usher in 2025, the European Heart Journal: Acute Cardiovascular Care delivers a January issue that exemplifies the transformative spirit of innovation in our field. This first issue of the year sets the stage for progress by spotlighting pivotal research spotlighted the journal in 2024 and forward-thinking ideas that promise to shape the future of acute cardiovascular and intensive care. Among the standout studies featured this month is the GRECO trial by van Gils et al.,1 which explored the potential of acyl-ghrelin to improve cognitive and psychosocial outcomes following out-of-hospital cardiac arrest (OHCA). This meticulously conducted Phase 2 trial enrolled 160 comatose patients randomized to receive acyl-ghrelin or placebo within 12 h post-arrest. While the intervention did not yield statistically significant improvements in cognitive performance, it demonstrated a meaningful reduction in depressive symptoms, achieving a clinically significant difference on the Hospital Anxiety and Depression scale. These findings, though preliminary, highlight the neuroprotective potential of acyl-ghrelin and call for further investigation into its broader role in post-cardiac arrest care. Grand et al.2 provide a secondary Bayesian analysis of the BOX trial, revisiting blood pressure targets for comatose OHCA patients. Their findings, derived from sophisticated statistical models, emphasize the uncertainty surrounding higher mean arterial pressure (MAP) targets, revealing a 33% probability of benefit but a 44% probability of harm for 1 year mortality outcomes. Intriguingly, the analysis identified age-related differences, with younger patients showing increased mortality risks at higher MAP levels. These results underscore the complexity of post-resuscitation care and the need for personalized approaches tailored to individual patient profiles. In another groundbreaking study, Andrei et al.3 critically examined the Venous Excess Ultrasound Grading System (VExUS), a tool designed to evaluate systemic venous congestion in the intensive care unit (ICU). Analysing over 500 haemodynamic evaluations, the study found that higher VExUS grades correlated predominantly with cardiac dysfunction parameters, such as left ventricular E/A ratio and right ventricular S-wave velocity. However, the tool demonstrated limited utility in non-cardiac conditions like sepsis, emphasizing the need for complementary methods to assess congestion in diverse ICU populations. This nuanced analysis offers a roadmap for refining diagnostic strategies and enhancing the management of systemic venous congestion. Kunkel et al.4 provide an illuminating study on sex-specific differences in neurohormonal activation following ST-elevation myocardial infarction (STEMI). Their multicentre investigation revealed that women exhibited significantly higher levels of biomarkers, such as pro-atrial natriuretic peptide and mid-regional pro-adrenomedullin, compared with men, alongside longer treatment delays and higher mortality rates. The findings underscore the prognostic importance of these biomarkers in women, suggesting that distinct physiological and treatment factors contribute to sex disparities in STEMI outcomes. This research serves as a clarion call for tailored approaches to addressing these disparities, ensuring equitable care for all patients. Complementing these original investigations is our signature ‘Best in the Year’ series, which this month focuses on acute cardiac care and heart failure. This curated overview synthesizes the most influential trials and publications from 2024, offering readers a comprehensive snapshot of the year’s progress. By bringing together key findings and expert perspectives, this feature aims to inspire innovation and guide future research efforts. This issue reflects the journal’s enduring commitment to advancing science and improving patient outcomes. By embracing cutting-edge research and addressing the complexities of acute cardiovascular care, it invites readers to be part of a dynamic and transformative journey. Let this January issue serves as a clarion call for innovation, inspiring all of us to tackle the challenges ahead with curiosity, collaboration, and an unwavering dedication to excellence. Together, we can redefine the future of acute cardiovascular medicine. Enjoy reading! The editors team. No funding. No new data were generated or analysed in support of this research.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,590
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,263
Écart entre enseignants0,250 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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