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Record W4402665320 · doi:10.1093/ehjacc/zuae107

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

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

Bibliographic record

VenueEuropean Heart Journal Acute Cardiovascular Care · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsCanadian VIGOUR CentreUniversity of Alberta
Fundersnot available
KeywordsMedicineResilience (materials science)MEDLINEIntensive care medicineGerontologyLaw

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.349
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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