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Usefulness of canada acute coronary syndrome risk score for predicting no-/slow-reflow in ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention

2023· article· en· W4388898511 on OpenAlexaboutno aff
En Xie, Q. Li, Zhou Ye, Yanxiang Gao, Jingang Zheng

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyInternal medicinePercutaneous coronary interventionNo reflow phenomenonMyocardial infarctionConventional PCIKillip classThrombolysisAcute coronary syndromeConfidence intervalTIMIClinical endpointFramingham Risk ScoreRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract Background The no-/slow-reflow phenomenon following primary percutaneous coronary intervention (PCI) for ST-elevation myocardial infarction (STEMI) patients is associated with a poor prognosis. Early identification of high-risk patients of no-/slow-reflow is critical. This study sought to evaluate the predictive ability of the Canada Acute Coronary Syndrome (C-ACS) risk score for no-/slow-reflow in these patients. Methods STEMI patients who underwent primary PCI were consecutively enrolled and divided into three groups based on the C-ACS score: 0, 1, and ≥2. The C-ACS score was computed using the four clinical variables evaluated at admission (1 point for each): age ≥75 years, heart rate >100 beats/min, systolic blood pressure <100 mmHg, and Killip class >1. No-/slow-reflow was defined as thrombolysis in myocardial infarction flow grade 0 to 2 after primary PCI. The predictive ability of the C-ACS score for no-/slow-reflow was evaluated by the receiver operating characteristic curve. Results Overall, 834 patients were enrolled, with 109 (13.1%) developing no-/slow-reflow. The incidence of no-/slow-reflow increased from the C-ACS 0 group to C-ACS ≥2 group (10.7% vs 17.7% vs 32.2%, respectively, p<0.001). After multivariable adjustment, the C-ACS score was an independent predictor of no-/slow-reflow (odd ratio 2.623, 95% confidence interval 1.948-3.532, p<0.001). Furthermore, the C-ACS score possessed good discrimination for no-/slow-reflow (area under the curve 0.707, 95% CI 0.653-0.762, p<0.001). Further subgroup analyses indicated a significant interaction of C-ACS score with patient sex (p for interaction =0.011). The independent association between C-ACS score and no-/slow-reflow was only observed in male patients (odd ratio 3.061, 95% confidence interval 1.931-4.852, p<0.001). During a median follow-up duration of 4.3 years, the C-ACS score was independently associated with major adverse cardiovascular events independently of the occurrence of no-/slow-reflow (p for interaction =0.212). Conclusion The C-ACS risk score could independently predict the no-/slow-reflow in STEMI patients undergoing primary PCI, particularly in male patients.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.899
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.297
Teacher spread0.257 · 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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Citations0
Published2023
Admission routes1
Has abstractyes

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