Acute cardiac and intensive care chronicles: navigating the intersection of cardiovascular health, recreational drug use, and beyond!
Bibliographic record
Abstract
Welcome to the Spring edition of the European Heart Journal Acute Cardiovascular Care! We are delighted to present a compelling array of scientific and educational content in this issue. Recreational drug use poses a significant threat to cardiovascular health, as highlighted by Arthur Clement and colleagues in their groundbreaking study featured in this volume (reference). Their multi-centre investigation sheds light on the impact of recreational drug use on the in-hospital prognosis of patients with ST-segment elevation myocardial infarction. The findings underscore the urgent need to address this issue in clinical practice, emphasizing tailored interventions and vigilant monitoring to mitigate adverse cardiovascular outcomes. Furthermore, Zeymer et al. (reference) offer valuable insights from the CULPRIT-SHOCK trial and its registry, highlighting the challenges and opportunities in managing infarct-related cardiogenic shock (CS). Their study emphasizes the pressing need for enhanced care strategies to improve patient outcomes in this critical condition. The study reaffirms the representativeness of trial patients enrolled in trials of infarct-related CS relative to the general population and reports that the extent of coronary artery disease is a primary determinant of 1-year mortality. The inclusion of registry data, covering excluded patients with single-vessel disease, included in the registry but excluded from the trial, provides a comprehensive view of treatment outcomes for infarct-related CS in specialized European centres. In another notable study on this topic, Naumann et al. investigate the impact of off-hour intensive care unit (ICU) admissions on mortality rates among patients experiencing CS. Their findings underscore the importance of comprehensive, protocolized, and consistent patient evaluation and 24/7 risk assessment to optimize outcomes in this high-risk population. Additionally, Shin et al. present compelling findings on the relationship between discharge sequential organ failure assessment scores and unplanned cardiac ICU (CICU) readmissions, highlighting the critical role of pre-discharge risk assessment in guiding interventions to enhance patient outcomes. Moreover, this edition features key insights from the American College of Cardiology 2024 Scientific Sessions, offering perspectives on four late-breaking trials in acute cardiovascular and intensive care presented in Atlanta: the Danish-German Cardiogenic Shock Trial (DanGer Shock), the IVUS-ACS and ULTIMATE-DAPT trials, REDUCE-AMI, and the AEGIS-II Trial assessing the efficacy and safety of CSL112 [apolipoprotein A-I (human)]. Lastly, in our educational series, Pascal Frederiks and colleagues delve into nutrition in critically ill cardiac patients, emphasizing its pivotal role in optimizing care within the CICU. Their recommendations provide valuable guidance for clinicians in managing malnutrition and improving patient outcomes. We hope this edition of EHJ ACVC proves enlightening and informative. Warm regards, Pascal Vranckx MD, David Morrow MD, Sean van Diepen MD, Frederik Verbrugge MD editors None declared.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.047 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.025 | 0.034 |
| Insufficient payload (model declined to judge) | 0.013 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".