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Characteristics and Outcomes of Patients With Cardiogenic Shock and Clinically Significant Valvular Heart Disease: From the Critical Care Cardiology Trials Network

2025· article· en· W4407626193 on OpenAlexaff
Anthony Carnicelli, Patrick Miller, David D. Berg, Nijat Aliyev, Carlos L. Alviar, Erin A. Bohula, Sunit‐Preet Chaudhry, Meshe Chonde, Christine Chow, Howard A. Cooper, Lori B. Daniels, Christopher B. Fordyce, Shahab Ghafghazi, Michael Goldfarb, Kari Gorder, Madeleine Hamilton, Ryan R. Keane, Michael Kontos, Jonathan Kusner, Evan Leibner, Daniel B. Loriaux, Venu Menon, Raunak Nair, L. Kristin Newby, Mary-Tiffany Oduah, Michael G. Palazzolo, Harsh Patolia, Jacob B. Pierce, Matthew J Pierce, Brian J. Potter, Alastair Proudfoot, Robert O. Roswell, Gregory Schnell, Jeffrey Shaw, Kiran Sidhu, Shashank S. Sinha, Anubodh S. Varshney, Jason N Katz, Sean van Diepen, David A. Morrow

Bibliographic record

VenueJournal of Cardiac Failure · 2025
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsFoothills Medical CentreUniversity of AlbertaUniversité de MontréalMcGill University Health CentreUniversity of CalgaryMcGill UniversityJewish General HospitalVancouver General Hospital
Fundersnot available
KeywordsMedicineCardiogenic shockCardiologyInternal medicinevalvular heart diseaseDiseaseShock (circulatory)Intensive care medicineMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Cardiogenic shock (CS) can be complicated by severe valvular heart disease (VHD). We analyzed cardiac intensive care unit (CICU) admissions according to VHD status. METHODS AND RESULTS: The Critical Care Cardiology Trials Network is a multicenter network of tertiary CICUs. Centers contributed data from consecutive admissions during 2-month annual snapshots from 2017-2023. CS admissions were classified as having CS attributed to VHD, CS with noncausative VHD or CS without severe VHD. Demographics and therapies were compared. Unadjusted and adjusted odds ratios for in-hospital mortality were calculated. We analyzed 5242 admissions with CS (4.1% attributed to VHD, 18.8% with noncausative VHD, 77.1% without severe VHD). Mitral regurgitation (32.1%) and aortic stenosis (27.9%) were the most common pathologies in CS attributed to VHD. Admissions with CS attributed to VHD more commonly had LVEF ≥ 40% on admission (present in 62.8%, 22.6% and 15.1%, respectively; P < 0.001). Valve intervention was performed in 32.1% of those with CS attributed to VHD. Unadjusted in-hospital mortality in admissions with CS attributed to VHD was 40.0%, compared to 33.4% and 30.3% in the other groups. CONCLUSIONS: VHD is the underlying cause of CS in a minority of CICU admissions but is associated with high in-hospital mortality rates.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.265
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2025
Admission routes1
Has abstractyes

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