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Record W3118893419 · doi:10.1016/j.jacc.2020.11.025

Predictive Value of the Residual SYNTAX Score in Patients With Cardiogenic Shock

2021· article· en· W3118893419 on OpenAlexfundno aff
Olivier Barthélémy, Stéphanie Rouanet, Delphine Brugier, Nicolas Vignolles, Benjamin Bertin, Michel Zeitouni, Paul Guedeney, Marie Hauguel‐Moreau, Georges Hage, Pavel Overtchouk, İbrahim Akın, Steffen Desch, Éric Vicaut, Uwe Zeymer, Hölger Thiele, Gilles Montalescot

Bibliographic record

VenueJournal of the American College of Cardiology · 2021
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsnot available
FundersSorbonne UniversitéServierDeutsche Gesellschaft für Kardiologie-Herz und Kreislaufforschung.Deutsche Stiftung für HerzforschungFédération Française de CardiologieCanada Excellence Research Chairs, Government of CanadaInstitut ServierAbiomedDaiichi-SankyoMedicines CompanySanofiEuropean CommissionSeventh Framework ProgrammeAmerican College of Cardiology FoundationAmgenPfizerAstraZenecaEli Lilly and CompanyBristol-Myers Squibb
KeywordsConventional PCIMedicineCardiologyCardiogenic shockPercutaneous coronary interventionMyocardial infarctionInternal medicineInterquartile rangeRSSCulpritCoronary artery diseaseMaceAcute coronary syndromeClinical endpointRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: In hemodynamically stable patients, complete revascularization (CR) following percutaneous coronary intervention (PCI) is associated with a better prognosis in chronic and acute coronary syndromes. OBJECTIVES: This study sought to assess the extent, severity, and prognostic value of remaining coronary stenoses following PCI, by using the residual SYNTAX score (rSS), in patients with cardiogenic shock (CS) related to myocardial infarction (MI). METHODS: The CULPRIT-SHOCK (Culprit Lesion Only Percutaneous Coronary Intervention [PCI] Versus Multivessel PCI in Cardiogenic Shock) trial compared a multivessel PCI (MV-PCI) strategy with a culprit lesion-only PCI (CLO-PCI) strategy in patients with multivessel coronary artery disease who presented with MI-related CS. The rSS was assessed by a central core laboratory. The study group was divided in 4 subgroups according to tertiles of rSS of the participants, thereby isolating patients with an rSS of 0 (CR). The predictive value of rSS for the 30-day primary endpoint (mortality or severe renal failure) and for 30-day and 1-year mortality was assessed using multivariate logistic regression. RESULTS: Among the 587 patients with an rSS available, the median rSS was 9.0 (interquartile range: 3.0 to 17.0); 102 (17.4%), 100 (17.0%), 196 (33.4%), and 189 (32.2%) patients had rSS = 0, 0 < rSS ≤5, 5 < rSS ≤14, and rSS >14, respectively. CR was achieved in 75 (25.2%; 95% confidence interval [CI]: 20.3% to 30.5%) and 27 (9.3%; 95% CI: 6.2% to 13.3%) of patients treated using the MV-PCI and CLO-PCI strategies, respectively. After multiple adjustments, rSS was independently associated with 30-day mortality (adjusted odds ratio per 10 units: 1.49; 95% CI: 1.11 to 2.01) and 1-year mortality (adjusted odds ratio per 10 units: 1.52; 95% CI: 1.11 to 2.07). CONCLUSIONS: Among patients with multivessel disease and MI-related CS, CR is achieved only in one-fourth of the patients treated using an MV-PCI strategy. and the residual SYNTAX score is independently associated with early and late mortality.

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)0.005
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.198
Teacher spread0.192 · 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".

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Citations37
Published2021
Admission routes1
Has abstractno

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