Myocardial Infarction Within 30 Days of Discharge From an Emergency Department: A Descriptive Study of Albertan Women
Bibliographic record
Abstract
Background: Cardiovascular diseases (CVDs) are the leading cause of premature death for Canadian women, which may be due partly to a lack of awareness of the presentation of acute coronary events in emergency departments (EDs). To address an identified gap in women's cardiovascular care, we sought to describe the clinical and comorbid factors of women who, following discharge from an ED, suffered a myocardial infarction (MI). Methods: Descriptive analyses were completed on a cohort of women who presented to an ED in Alberta, Canada, between January 1, 2010 and December 31, 2020, were discharged, and within 30 days of their index ED visit, were admitted to the hospital with an MI. The cohort was explored for clinical and comorbid data, ED visits pre-MI, type of MI, and presenting complaint/ primary diagnosis for the index ED visit. Results: 1380 women were included in this analysis with a mean age of 67 (standard deviation ±13) years. The frequencies of hypertension, diabetes, and dyslipidemia among the youngest women, aged 18-45 years, were 47.5%, 31.3%, and 48.8%, respectively. Women across all ages demonstrated a high prevalence of traditional CVD risk factors, and 22% of women presented to an ED 2 or more times within the 30 days pre-MI. Conclusions: Regardless of their age, the women in this cohort had notable CVD risk factors. Future research is required to better understand the phenomenon of women presenting multiple times to an ED pre-MI. Research is needed on life-stage-specific factors of women presenting to EDs pre-MI, to help reduce MI incidence.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".