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Record W2892105291 · doi:10.1093/eurheartj/ehy562

Impact of lesion complexity on peri-procedural adverse events and the benefit of potent intravenous platelet adenosine diphosphate receptor inhibition after percutaneous coronary intervention: core laboratory analysis from 10 854 patients from the CHAMPION PHOENIX trial

2018· article· en· W2892105291 on OpenAlexaff
Gregg W. Stone, Philippe Généreux, Robert A. Harrington, Harvey D. White, C. Michael Gibson, Philippe Gabríel Steg, Christian W. Hamm, Kenneth W. Mahaffey, Matthew J. Price, Jayne Prats, Efthymios Deliargyris, Deepak L. Bhatt

Bibliographic record

VenueEuropean Heart Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsHôpital du Sacré-Cœur de Montréal
FundersMedicines Company
KeywordsMedicinePercutaneous coronary interventionAdverse effectPeriAdenosine diphosphatePlateletAdenosineLesionCardiologyPharmacologyInternal medicinePlatelet aggregationMyocardial infarctionSurgery

Abstract

fetched live from OpenAlex

Aims: In the CHAMPION PHOENIX trial, the potent, rapidly acting, intravenous platelet adenosine diphosphate receptor antagonist cangrelor reduced the 48-h incidence of major adverse cardiac events (MACE; death, myocardial infarction, stent thrombosis, or ischaemia-driven revascularization) compared with a loading dose of clopidogrel in patients undergoing percutaneous coronary intervention (PCI). We sought to determine whether the efficacy of cangrelor during PCI varies in patients with simple vs. complex target lesion coronary anatomy. Methods and results: Blinded angiographic core laboratory analysis was completed in 10 854 of 10 942 (99.2%) randomized patients in CHAMPION PHOENIX (13 418 target lesions). Outcomes were analysed according to the number of angiographic PCI target lesion high-risk features (HRF) present (bifurcation, left main, thrombus, angulated, tortuous, eccentric, calcified, long, or multi-lesion treatment). The number of patients with 0, 1, 2, and ≥3 HRFs was 1817 (16.7%), 3442 (31.7%), 2901 (26.7%), and 2694 (24.8%), respectively. The 48-h MACE rate in clopidogrel-treated patients increased progressively with lesion complexity (from 3.3% to 4.4% to 6.9% to 8.7%, respectively, P < 0.0001). Cangrelor reduced the 48-h rate of MACE by 21% {4.7% vs. 5.9%, odds ratio (OR) [95% confidence interval (95% CI)] 0.79 (0.67, 0.93), P = 0.006} compared with clopidogrel, an effect which was consistent regardless of PCI lesion complexity (Pinteraction = 0.66) and presentation with stable ischaemic heart disease (SIHD) or an acute coronary syndrome (ACS). By multivariable analysis, the number of high-risk PCI characteristics [OR (95% CI) 1.68 (1.20, 2.36), 2.78 (2.00, 3.87), and 3.23 (2.33, 4.48) for 1, 2, and 3 HRFs compared with 0 HRFs, all P < 0.0001] and treatment with cangrelor vs. clopidogrel [OR (95% CI) 0.78 (0.66, 0.92), P = 0.004] were independent predictors of the primary 48-h MACE endpoint. Major bleeding rates were unrelated to lesion complexity and were not increased by cangrelor. Conclusion: Peri-procedural MACE after PCI is strongly dependent on the number of treated high-risk target lesion features. Compared with a loading dose of clopidogrel, cangrelor reduced MACE occurring within 48 h after PCI in patients with SIHD and ACS regardless of baseline lesion complexity. The absolute benefit:risk profile for cangrelor will therefore be greatest during PCI in patients with complex coronary anatomy. Clinicaltrials.gov identifier: NCT01156571.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0020.000

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 head0.027
GPT teacher head0.278
Teacher spread0.251 · 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.

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

Citations67
Published2018
Admission routes1
Has abstractyes

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