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Time is muscle: uncovering patient behaviour and delays in acute coronary syndrome presentation

2025· article· en· W7128087688 on OpenAlexaffabout
Andrea Lee, S Saboktakin Rizi, L. Avery, E Friesen, K Pineda, J Ducas, S Liu

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsSt. Boniface HospitalUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsAcute coronary syndromePercutaneous coronary interventionIntervention (counseling)Emergency departmentTest (biology)Presentation (obstetrics)Emergency medical servicesSituational ethics

Abstract

fetched live from OpenAlex

Abstract Background Acute coronary syndrome (ACS) is the leading cause of death in Canada, with approximately 70,000 new Canadians diagnosed annually. While delays from first medical contact (FMC) to percutaneous coronary intervention (PCI) have improved significantly, the time from symptom onset (SO) to FMC remains largely unchanged, likely due to complex and poorly understood patient behavioural and situational factors. Purpose Our study aims to characterize patients’ presenting symptoms and identify factors contributing to delays in seeking medical care. By recognizing common themes, we seek to develop targeted public awareness initiatives to highlight key symptoms and promote timely healthcare access. Methods In this single-centre prospective study, we surveyed consecutive admitted ACS patients between May to August 2024. Quantitative data were analyzed using descriptive statistics, while categorical data were assessed with counts and percentages. The Mann-Whitney Test was applied to continuous variables, and chi-square or Fisher’s Exact test were used for categorical variables. Results Among the 117 participants, 75.2% were male, with a median age of 67±11 years. Of those, 50.4% had ST-elevation myocardial infarction, 41.1% had non-ST-elevation myocardial infarction, and 8.5% had unstable angina. The median SO-FMC delay was 90 minutes (IQR 20-450 minutes). The primary reasons were misinterpretation of symptoms as non-cardiac (47%), and the belief that symptoms would improve without intervention (38%). The most common ACS symptoms were chest discomfort (88%), diaphoresis (64%), and shortness of breath (54%). Certain symptom characteristics, such as sudden onset (p=0.001), continuous symptoms (p=0.000006), and diaphoresis (p=0.000002), were associated with earlier presentation. Notably, 55% of patients chose to visit the emergency room rather than activate emergency medical services (EMS), though EMS activation was associated with earlier presentation (p=0.000007). Although 83% of patients were aware of heart attack symptoms, only 28% recognized the urgency conveyed by the phrase "time is muscle." Education by healthcare professionals on ACS symptoms and the importance of EMS was associated with earlier care-seeking (p=0.01). Conclusion In summary, we identified factors contributing to delayed ACS presentation which may be used in targeted education to improve outcomes. These results highlight the need for further public health education and interventions to reduce SO-FMC time and improve ACS outcomes.

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)0.002
metaresearch head score (Gemma)0.013
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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.019
GPT teacher head0.324
Teacher spread0.305 · 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
Published2025
Admission routes2
Has abstractyes

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