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Abstract 10332: Biventricular Function and Shock Severity Predicts Mortality in Cardiac Intensive Care Unit Patients

2021· article· en· W3217776266 on OpenAlexaff
Barry Burstein, Sean van Diepen, Brandon M. Wiley, Nandan S. Anavekar, Jacob C. Jentzer

Bibliographic record

VenueCirculation · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsUniversity of AlbertaUniversity of Toronto
Fundersnot available
KeywordsMedicineCardiologyEjection fractionInternal medicineShock (circulatory)Coronary care unitIntensive care unitLogistic regressionHeart failureMyocardial infarction

Abstract

fetched live from OpenAlex

Introduction: Ventricular dysfunction contributes to shock in cardiac intensive care unit (CICU) patients. We aimed to describe the associations between ventricular dysfunction with in-hospital mortality across the spectrum of shock severity. Hypothesis: Patients with biventricular dysfunction (BVD) have higher mortality at each Society for Cardiovascular Angiography and Intervention (SCAI) shock stage. Methods: We identified CICU patients from 2007 to 2015 with available echocardiography data within 1 day of admission. Left ventricular systolic dysfunction (LVSD) was defined as left ventricular ejection fraction <40% and right ventricular systolic dysfunction (RVSD) as moderate or greater systolic dysfunction by semi-quantitative assessment; BVD included the presence of both LVSD and RVSD. Predictors of in-hospital mortality were determined after adjustment using multivariable logistic regression. Results: We included 3,158 patients with a mean age of 68.2±14.6 years; 51.8% had acute coronary syndromes. LVSD was present in 22.3%, RVSD in 11.8%, and 16.4% had BVD. Hospital mortality increased with SCAI shock stage and was incrementally higher in patients with LVSD, RVSD and BVD across SCAI shock stages (Figure); patients with BVD had higher mortality in each SCAI shock stage. After adjustment, there was no difference in in-hospital mortality for patients with LVSD or RVSD versus those without ventricular dysfunction (p >0.05), but BVD was independently associated with higher in-hospital mortality (adjusted HR 1.815, 95% CI 1.237-2.663, p = 0.0023). Adding ventricular dysfunction to SCAI shock stage increased discrimination for hospital mortality (AUC 0.784 vs. 0.766, p <0.001). Conclusions: Among patients admitted to the CICU, BVD was independently associated with higher hospital mortality after adjustment for shock severity. Echocardiographic assessment may augment clinical risk stratification using the SCAI shock classification.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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