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Enregistrement W4402665320 · doi:10.1093/ehjacc/zuae107

Resilience and renewal: charting the future of cardiovascular care in a changing world

2024· article· en· W4402665320 sur OpenAlexaff
Pascal Vranckx, David A. Morrow, Sean van Diepen, Frederik H. Verbrugge

Notice bibliographique

RevueEuropean Heart Journal Acute Cardiovascular Care · 2024
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealth Systems, Economic Evaluations, Quality of Life
Établissements canadiensCanadian VIGOUR CentreUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicineResilience (materials science)MEDLINEIntensive care medicineGerontologyLaw

Résumé

récupéré en direct d'OpenAlex

In this month’s edition of the European Heart Journal: Acute Cardiovascular Care, we engage with some of the most critical issues facing contemporary acute cardiovascular medicine, including cardiogenic shock (CS), out-of-hospital cardiac arrest (OHCA), and the pressing need for sustainable practices in our healthcare systems. As we navigate these complex challenges, the insights shared by esteemed authors in this issue illuminate pathways towards improved patient outcomes and enhanced healthcare delivery. At the forefront of this edition, Mahmoud Ismayl et al.,1 present a nationwide study analysing outcomes of 16 072 patients with aortic stenosis (AS) complicated by CS who underwent either transcatheter aortic valve replacement (TAVR) or surgical aortic valve replacement (SAVR) from 2016 to 2021. The findings reveal a notable increase in the use of TAVR, which rose from 29.5 to 46.5% during this period. Importantly, TAVR was associated with significantly lower odds of stroke (adjusted mean(a)OR 0.59), acute kidney injury (AKI) (aOR 0.79), and major bleeding (aOR 0.54). Although there was an increase in vascular complications (aOR 1.55), in-hospital mortality and 90-day readmissions were comparable between the two interventions. Furthermore, TAVR resulted in shorter hospital stays and reduced total costs, reinforcing its position as a viable treatment option for high-risk patients with AS complicated by CS. Ismayl’s study not only highlights the increasing adoption of TAVR but also underscores the need for randomized controlled studies, which could ultimately help to refine our understanding of optimal management strategies for these patients. Christian Jung contributes significantly to the discourse on acute myocardial infarction (AMI) and CS through his Bayesian reanalysis of the CULPRIT-SHOCK trial.2 This analysis meticulously investigates the optimal revascularization strategy for patients with AMI, CS, and multivessel disease. By employing three types of priors—non-informative, skeptical, and enthusiastic—Jung’s findings yield a median relative risk of 0.82, indicating a 95% probability of benefit for the culprit-lesion-only percutaneous coronary intervention (PCI) approach compared to immediate multivessel PCI. Notably, subgroup analyses reveal stronger effects among males, non-diabetic patients, and those with non-anterior STEMI. While secondary outcomes suggest potential benefits in reducing mortality and renal replacement therapy needs, the study also highlights increased risks for recurrent myocardial infarction (MI) and urgent revascularization. This nuanced understanding underscores the necessity for personalized risk-benefit assessments in clinical practice, illustrating the value of Bayesian methods in interpreting complex trial data to enhance decision-making in high-risk populations.3 The outcomes for survivors of OHCA are thoroughly explored by Christopher Fordyce et al.,4 who utilizes data from the British Columbia Cardiac Arrest Registry (2009–16). Among 1325 survivors, the study demonstrates that those with a reversible ischaemic cause exhibit the highest 3-year event-free survival rate of 91%, compared to only 62% for those with reversible non-ischaemic causes. Multivariable analyses reveal a significantly lower risk of adverse outcomes for reversible ischaemic causes (HR 0.52) and a higher risk for non-ischaemic causes (HR 1.53). These findings emphasize the potential importance of identifying reversible causes in OHCA patients, suggesting that withholding implantable cardioverter-defibrillator (ICD) implantation in reversible ischaemic cases is safe. Conversely, heightened attention is warranted for patients with non-ischaemic causes. Fordyce’s research not only sheds light on the long-term outcomes of OHCA survivors but also calls for a more refined approach to their management. In a comprehensive analysis of the epidemiology of CS within a cardiac intensive care unit (CICU) setting, David Berg et al.5 utilizes the Shock Academic Research Consortium (SHARC) definitions to classify distinct patient populations. The study includes data from 8974 patients meeting CS criteria from 2017 to 2023, and the authors report that 65% had isolated CS and 17% had mixed shock. Among the 5869 patients diagnosed with CS, 27% had acute myocardial infarction-related CS (AMI-CS), 59% had heart failure-related CS (HF-CS), and 14% had secondary CS. The in-hospital mortality rates varied significantly, with mixed CS exhibiting the highest mortality at 48%, followed by AMI-CS at 41%. Berg’s study highlights the utility of SHARC definitions in identifying distinct CS subpopulations with varying clinical outcomes, ultimately informing clinical practice and future research directions. The risk of sudden cardiac death (SCD) following early-onset MI is explored by Serena Bricoli,6 who leverages a large cohort of 2000 patients under the age of 45 and followed for a median of 19.9 years. Among these patients, 195 experienced SCD, with higher occurrences in males who were hypertensive, diabetic, and had a history of thromboembolic events. Key independent predictors identified through multivariable analysis include diabetes, hypertension, previous thromboembolic events, a high Syntax score, and a lower left ventricular ejection fraction (LVEF) post-MI. Notably, SCD often emerged as the first clinical event after MI, highlighting the significant risk it poses to this population, potentially linked to progressive coronary atherosclerosis. Bricoli’s findings underscore the need for proactive monitoring and targeted interventions for individuals at risk. Amidst these critical advancements in cardiovascular care, we must also address the looming threat of climate change, which poses unprecedented challenges to health systems worldwide. In their pivotal work, ‘Crisis at the Heart: Unravelling the Unseen Threat—Climate Change’s Provocative Impact on Acute Cardiac and Critical Care’, Munzel et al.7 highlight how the accelerating climate emergency exacerbates cardiovascular risks, intensifying acute cardiac events and straining critical care resources. The authors call for urgent global adaptation and preparedness within healthcare systems to mitigate the adverse effects of climate change on cardiovascular health. This urgent message serves as a clarion call for healthcare professionals to integrate sustainability into their practice. We also invite our readers to explore this month’s statistical spotlight, which delves into best practices and clinical guidance in extension studies for revascularization in left main coronary artery disease. Understanding the intricacies of statistical analysis not only enhances the quality of clinical research but also informs evidence-based practice, ultimately driving improvements in patient care. Together, let us advance our understanding and practice in cardiovascular care, paving the way for better outcomes in an increasingly complex world. Enjoy! Pascal Vranckx, David Morrow, Sean van Diepen, Frederik Verbrugge editors. The authors did not receive funding for the submitted work. 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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,012
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0040,013
Communication savante0,0170,023
Science ouverte0,0020,009
Intégrité de la recherche0,0080,018
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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 Opus0,112
Tête enseignante GPT0,349
Écart entre enseignants0,238 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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