Young Women With Coronary Artery Disease Exhibit Higher Concentrations of Interleukin‐6 at Baseline and in Response to Mental Stress
Bibliographic record
Abstract
Background Young women with coronary artery disease ( CAD ), a group with high psychosocial burden, were previously shown to have higher levels of interleukin-6 ( IL -6) compared with men of similar age. We sought to examine IL -6 response to acute stress in CAD patients across sex and age, and contrast results to healthy controls and other biomarkers known to increase with mental stress (monocyte chemoattractant protein-1 and matrix metallopeptidase-9) and known limited stress-reactivity (high-sensitivity C-reactive protein). Methods and Results Inflammatory biomarkers were measured at rest and 90 minutes after mental stress (speech task) among 819 patients with CAD and 89 healthy controls. Repeated-measures models were used to investigate age (continuous) and sex differences across time, before and after adjusting for demographics, CAD risk factors, depressive symptoms, medication use, and CAD severity. Among patients with CAD , the mean age was 60 years (range, 25-79) and 31% were women. Younger women with CAD had significantly higher concentrations of IL -6 at rest, 90 minutes after mental stress, as well as a higher response to stress, compared with similarly aged men ( P<0.05 for sex by age interactions). In contrast, IL -6 increased with age, and there were no sex differences in IL -6 levels or response to stress among controls. Inflammatory responses to stress for high-sensitivity C-reactive protein, monocyte chemoattractant protein-1, and matrix metallopeptidase-9 among CAD patients were similar in women and men. Conclusions IL -6 response to mental stress are higher in young women with CAD than men of similar age.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".