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Record W4396769264 · doi:10.1093/ehjacc/zuae043

Unveiling new horizons: revolutionary insights into acute myocarditis and optimal mechanical circulatory support timing

2024· article· en· W4396769264 on OpenAlexaff
Pascal Vranckx, David A. Morrow, Sean van Diepen, Frederik H. Verbrugge

Bibliographic record

VenueEuropean Heart Journal Acute Cardiovascular Care · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsUniversity of Alberta Hospital
Fundersnot available
KeywordsMedicineCirculatory systemMyocarditisCardiologyAcute myocarditisInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Welcome to the May edition of the European Heart Journal: Acute Cardiovascular Care with an exhilarating fusion of groundbreaking research and enlightening educational content. Schelldorfer et al.1 shine a spotlight on the often overlooked burden of uncomplicated acute myocarditis. Their nationwide study exposes an eye-opening 40-fold higher rate of cardiovascular events in patients with myocarditis compared to controls over a median follow-up of 39 months. Pending external validation, this finding may signal a paradigm shift in managing this seemingly low-risk population, advocating for heightened awareness and more effective therapeutic interventions. Buda et al.2 embark on a pioneering journey into the optimal timing of mechanical circulatory support (MCS) in acute myocardial infarction complicated by cardiogenic shock (AMI-CS). Their meticulous observational analysis of over 100 000 patients suggests advantages of early MCS, offering fewer complications, shorter hospital stays, reduced costs, and heightened survival rates. Their findings re-enforce what many clinicians feel reflect contemporary best practices, and their results have the potential to sculpt more efficacious treatment strategies. Notwithstanding, the results of completed temporary MCS trials have been disappointing, and ongoing trials help reshape our treatment of AMI-CS. Also, in this issue, Waldauf et al.3 delve into the association between antiarrhythmic medications on supraventricular arrhythmias (SVAs) in septic shock patients. Their study uncovers nuanced insights, suggesting propafenone’s dominance in patients without left atrial dilatation and amiodarone’s effectiveness in those with dilated left atria. This tailored approach may pave a promising path for optimizing outcomes in critically ill patients, seamlessly integrating critical care medicine and cardiology. Krittanawong et al.4 present a meticulous analysis of spontaneous coronary artery dissection (SCAD), with a specific focus on its occurrence during pregnancy (P-SCAD). Leveraging a robust cohort of over 20 000 female SCAD patients, their study illuminates reduced mortality rates, yet increased 30-day readmission rates in P-SCAD patients. These findings advocate for personalized management strategies, marking a significant leap forward in understanding pregnancy-associated cardiovascular pathology. Lastly, Golino et al.5 report real-world insights into the prognostic significance of eosinophil counts in ST-segment elevation myocardial infarction (STEMI) patients. Their study hints that low eosinophil levels may be a potential prognostic marker, highlighting the need for further exploration into eosinophils’ therapeutic potential and mechanisms in cardiovascular disease. In our educational series, Davide Capodanno’s paper on perioperative myocardial infarction (PMI) offers profound insights into this increasingly recognized clinical phenomenon. With meticulous detail, Capodanno navigates through the complexities of PMI definitions, shedding light on critical unmet needs and offering valuable insights into mitigation strategies. There is a ripe opportunity for an update on the universal definition of myocardial infarction! We believe that this edition of EHJ-ACVC will prove to be enlightening and informative. None declared.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.029
GPT teacher head0.288
Teacher spread0.259 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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