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Global variations in coronary revascularisation and acute myocardial infarction mortality between 2006-2020: a longitudinal, population-level analysis of 16 high-income nations from the OECD database

2024· article· en· W4403817385 on OpenAlexaboutno aff
Utkarsh Ojha, Dominic C. Marshall, Matthew Hammond‐Haley, J.D. Salciccioli, Joseph Shalhoub, Adam Hartley

Bibliographic record

VenueEuropean Heart Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMyocardial infarctionCardiologyInternal medicinePopulationDatabaseDemographyEnvironmental health

Abstract

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Abstract Background Revascularisation options for ischaemic heart disease (IHD) includes either, percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG). Whilst PCI remains the preferred choice in ST-elevation myocardial infarction (STEMI)(1), several landmark trials have questioned its universal superiority (2,3), thus prompting re-evaluation of guidelines. A wide-scale contemporary overview of revascularisation trends is lacking. Purpose To examine the evolving pattern in PCI and CABG rates, alongside mortality from acute myocardial infarction (AMI) across a group of 16 high-income countries between 2006 and 2020. Methods Standardized PCI and CABG procedure rates alongside AMI age-standardised mortality rate (ASMR) were obtained from the Organisation for Economic Co-operation and Development (OECD) database. Data from 2006-2020 was extracted for; Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Sweden, United Kingdom (UK). Together, these countries are commonly known as the European Union (EU) 15+ and represent a cluster of high-income nations with comparable levels of health expenditure. Procedural trends including the estimated annual percentage change (EAPC) were evaluated using Joinpoint analysis whilst Locally Weighted Scatterplot Smoothing (LOESS) models was used to analysis trends in AMI mortality. Results Over 15 years, 14.0 million PCI and 2.8 million CABG procedures were recorded in total. PCI rates varied amongst nations (Figure 1), however showed an overall increase in 11 countries, led by Finland (+36.0%). The steepest increase was observed in France between 2012-2018 (EAPC 5.4, 95% CI: 4.8 – 6.1). The greatest overall decrease in PCI was observed in Luxemburg (-33.5%). The fastest decrease was seen during 2018-2020 in the UK (EAPC -7.2, 95% CI: -9.7 – -4.6). CABG rates declined overall in 15 countries (Figure 1), with Luxembourg (-71.3%), experiencing the largest fall and showing the steepest decline between 2014-2018 (EAPC -20.7, 95% CI: -28.3 – -12.3). Ireland was the only country to show an increase in CABG rate (+16.3%). Throughout the study period, the PCI-to-CABG ratio increased (Figure 2A), whilst AMI mortality decreased consistently across all countries (Figure 2B). Conclusion Despite evidence supporting CABG over PCI in specific scenarios, CABG rates have declined, and PCI rates have increased. This trend may be influenced by several factors including patient preference for less invasive procedures and advancements in interventional techniques. The varied use of PCI among these nations, alongside a sustained decline in AMI mortality rates, may be expected given the importance of optimal medical therapy in the management of IHD. The results further highlight the significance of factors beyond revascularisation in driving improved outcomes.PCI and CABG rates between 2006 and 2020PCI to CABG ratio and AMI mortality rate

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)0.003
metaresearch head score (Gemma)0.004
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 score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.006
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.049
GPT teacher head0.337
Teacher spread0.288 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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