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Comparing one-year outcomes of invasive versus medical management of patients with prior coronary artery bypass graft surgery presenting with non-ST elevation myocardial infarction

2021· article· en· W4386660904 on OpenAlexaboutno aff
Mohammad Tariq Ramtoola, John Hartemink, Sheefah Dhuny, Jaimie D. Nathan, H Shabbir, A Shafiq, Shikha Garg

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineConventional PCIPercutaneous coronary interventionMyocardial infarctionMaceInternal medicineAcute coronary syndromeUnstable anginaCardiologyCanadian Cardiovascular SocietyClinical endpointCoronary artery bypass surgeryAnginaSurgeryArteryRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract Background Early percutaneous coronary intervention (PCI) has a Class 1A recommendation for patients with non-ST elevation myocardial infarction (NSTEMI). However, the benefits of this invasive approach in patients with previous coronary artery bypass graft (CABG) surgery are uncertain, as these patients have previously been excluded from pivotal trials. Purpose We hypothesised that routine invasive management in patients with previous CABG presenting with NSTEMI, but otherwise medically stable, carried similar prognostic outcomes to patients who were medically managed. Methods This single centre retrospective observational study screened patients with prior CABG presenting with NSTEMI between January 2015 and December 2019. Patients either underwent coronary angiography with or without PCI at their physician's discretion or received standard acute coronary syndrome (ACS) medical therapy. Follow up time was 365 days from admission date, and clinical, demographic, procedural and outcome data were collected. The primary endpoint was major adverse cardiac events (MACE), a composite of all-cause mortality and rehospitalisation for unstable angina, myocardial infarction, or heart failure. Results The study included 267 patients (mean ±SD age: 72±10 years, 82% male), of whom 80.1% (N=214) underwent cardiac catheterisation, and 19.9% (N=53) only received standard ACS medical therapy. Amongst the invasive group, 65.4% (N=140) received PCI. No one was referred for re-do CABG. At 1-year follow up, the primary composite outcome occurred in 18 (13%) patients in the PCI group, 13 (18%) in those managed conservatively following angiography, and in 27 (51%) patients receiving medical therapy only. Cox regression modelling showed no significant difference in the 1-year primary endpoint amongst those having an angiogram who received PCI versus those treated medically after invasive assessment (HR: 0.75 [95% CI: 0.38–1.48; P=0.412]). Previous revascularisation with PCI (HR: 1.90 [CI, 1.11–3.24; P=0.018]) and chronic kidney disease (CKD) (HR: 2.60 [CI, 1.56–4.34; P<0.001]) at any stage, were the most important predictors of poor outcomes in CABG patients with NSTEMI irrespective of management strategy. Conclusion Patients with previous CABG who are admitted with NSTEMI who were not considered suitable for invasive angiography experienced significantly higher rates of MACE at 1-year follow up. The presence of CKD or previous PCI were key indicators of poor outcomes irrespective of management strategy. Outcomes amongst those deemed fit enough for invasive angiography were similar irrespective of treatment, suggesting that additional non-invasive testing may help further define which patients would benefit from an invasive strategy. Funding Acknowledgement Type of funding sources: None.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.055
GPT teacher head0.302
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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