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Record W4392093187 · doi:10.1093/ehjacc/zuae016

March 2024 issue of the<i>European Heart Journal Acute Cardiovascular Care</i>

2024· article· en· W4392093187 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
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity of Alberta Hospital
Fundersnot available
KeywordsMedicineIntensive care medicineCardiology

Abstract

fetched live from OpenAlex

Welcome, esteemed readers, to our March 2024 issue of the European Heart Journal Acute Cardiovascular Care. In this edition, we explore cutting-edge research that promises to reshape our understanding of acute cardiac and intensive care! The spotlight of this edition is Stampe et al.’s1 groundbreaking study that illuminates the path towards a better understanding of survival post-sudden cardiac arrest (SCA). This research casts a light on the critical role of ventricular fibrillation (VF). Stampe et al. have meticulously conducted a distinctive proteomic analysis, delving into VF within 12 h of ST-segment elevation myocardial infarction symptoms. They report 26 associated proteins, including the notable candidates ACTBL2 and F13A1, that open promising avenues that may help unravel the intricate VF proteome. In the spirit of scientific rigour, despite inherent limitations, the authors stress the significance of diverse validations. This collaborative approach not only navigates the challenges posed by the dynamic nature of SCA but also underscores the indispensable need for broader validations in forthcoming investigations. Moving forward, Nakano et al.2 introduce us to a novel research letter addressing triglyceride deposit cardiomyovasculopathy (TGCV), a relatively unknown but emerging cardiovascular disorder with profound implications. The scarcity of real-world data on TGCV’s prevalence is met with a meticulous investigation involving 400 acute coronary syndrome (ACS) patients and 148 ACS patients with diabetes. The study reports a 4.3–5.4% prevalence, associating TGCV with coronary artery disease (CAD) and unveiling potential therapeutic implications. We eagerly anticipate further research on this intriguing topic that promises to deepen our comprehension of its global impact on cardiovascular mortality. Transitioning to the realm of intensive care, Nasu et al.3 take us on a journey into the Impella device’s role in managing fulminant myocarditis. This challenging clinical scenario, often bereft of pharmacological options, is dissected through the lens of the Japanese Registry for Percutaneous Ventricular Assist Devices. The study reports a promising 74.3% survival at 30 days among 269 patients. Adverse events, notably bleeding and renal deterioration, underscore the challenges, prompting a call for further investigation into patient selection and treatment. In a comprehensive examination of sex-specific age variations post–first-time ACS, Earle et al.4 unravels nuanced relationships within a cohort of 63 245 individuals. The findings highlight age-specific sex distinctions, with younger women at heightened risk and older women at diminished risk compared with their male counterparts. Adjusted analysis negates the heightened risk for younger women, emphasizing the importance of recognizing and addressing these age-specific nuances in ACS outcomes. Bringing a capstone to this educational journey, Zuin et al.5 deal with ‘Early predictors of clinical deterioration in intermediate–high risk pulmonary embolism’. Their educational paper is complemented by a clinical consensus statement from the Association for Acute Cardiovascular Care that outlines the diagnostic and treatment pathways for acute right ventricular failure secondary to acutely increased right ventricular afterload (acute cor pulmonale). The document serves as a rallying cry for a unified approach across disciplines, especially in life-threatening conditions. In closing, we extend a warm welcome to Dr Lam’s letter to the editor and encourage our readership to engage with our community, fostering vibrant discussions. Join us on social media for updates and engagement and let us collectively shape the future of acute cardiac and intensive care. Enjoy your reading!

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Research integrity, Insufficient payload (model declined to judge)
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 score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.012
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.021
GPT teacher head0.277
Teacher spread0.256 · 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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