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Record W4388595667 · doi:10.1093/eurheartj/ehad655.168

Residual ischemia by stress CMR in stable post-STEMI patients. Association with clinical events and implications of guided revascularization

2023· article· en· W4388595667 on OpenAlexaboutno aff
V Marcos Garces, D Iraola-Viana, H Merenciano-Gonzalez, José Gavara, José V. Monmeneu, María P. López‐Lereu, N Pérez, César Ríos‐Navarro, Elena de Dios, Paolo Racugno, Joaquín Cánoves, Gema Miñana, Francisco J. Chorro, Vicente Bodı́

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsnot available
FundersInstituto de Salud Carlos IIIGeneralitat Valenciana
KeywordsMedicineRevascularizationCardiologyInternal medicineIschemiaMyocardial infarctionAnginaMaceCanadian Cardiovascular SocietyPercutaneous coronary intervention

Abstract

fetched live from OpenAlex

Abstract Introduction Stress cardiac magnetic resonance (sCMR) represents a gold standard approach to identify and localize myocardial ischemia. However, in the setting of stable STEMI patients, data on the prognostic implications of residual ischemia as derived from sCMR are scarce. Moreover, the association of sCMR-guided revascularization with angina class improvement and patients’ outcomes is unknown. Objectives To evaluate the implications of residual ischemia and sCMR related revascularization with prognosis and anginal symptoms of STEMI patients after the index event. Material and methods Reperfused, stable STEMI patients submitted to undergo sCMR within the first year after STEMI were included in the registry. We analyzed the association of residual ischemia and sCMR related revascularization with the occurrence of major adverse cardiac events (MACE), comprised of all-cause death, non-fatal myocardial infarction, re-admission for heart failure, or unplanned revascularization. Additionally, we explored the effect of sCMR related revascularization on angina class as derived from the Canadian Cardiovascular Society (CCS) Angina Score. A p-value <0.05 was considered statistically significant. Results The study group was made up of 234 patients who underwent sCMR for evaluation of non-revascularized lesions in the non-culprit arteries (n=139, 59.4%) or assessment of new onset chest pain (n=95, 40.6%). Residual ischemia was noted in a minority of patients (n=63, 26.9%), and most of them presented with mild or moderate ischemic burden (n=56, 88.9% with residual ischemia in ≤5 myocardial segments). During a median follow up of 7.49 [3.03-10.02] years, 78 (33.3%) patients presented MACE. In multivariate analysis, the extent (number of segments) of residual ischemia did not associate with MACE (HR 0.97 [0.83-1.12] per segment, p=0.65). Patients were categorized in 3 groups: Group 1 (G1, no ischemia-no revascularization, n=166), Group 2 (G2, ischemia-no revascularization, n=29), and Group 3 (G3, ischemia-revascularization, n=34). No differences in survival free from MACE were noted between these groups. Most patients (n=192, 84.6%) were in CCS Angina Score Class I before sCMR. Patients in G1 remained asymptomatic or paucisymptomatic during follow-up (CCS II-IV between 4.8 and 9%, p>0.05). In G3, patients were predominantly in CCS II-IV (52.9%) before sCMR, and a significant reduction in anginal symptoms was noted after revascularization (CCS II-IV between 6.5 and 12.1%, p≤0.001). Patients with ischemia on sCMR but no revascularization (G2) depicted higher proportion of patients with CCS II-IV before (24.1%) and after sCMR (13 to 19.2%, p>0.05). Conclusions In STEMI patients evaluated post-discharge in stable phase, residual ischemia as derived from sCMR is usually mild and does not associate with the occurrence of MACE. sCMR-guided revascularization relates to a significant and sustained improvement of anginal symptoms but not to the event rate.Survival free from MACE.Changes in CCS Angina Score.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.029
GPT teacher head0.331
Teacher spread0.302 · 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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