Listening to the heart-brain talk: persistent depressive symptoms are associated with hsCRP in apparently healthy individuals at high risk for coronary artery disease
Bibliographic record
Abstract
BACKGROUND: This study examined whether mild-to-moderate depressive symptoms are associated with increased high-sensitivity C-reactive protein (hsCRP) and interleukin 6 (IL-6) levels in apparently healthy individuals at high risk for coronary artery disease. We investigated in individuals whether: (1) current depressive symptoms were associated with increased hsCRP and IL-6 levels; (2) persistent depressive symptoms at two time points 6 months apart were associated with hsCRP and IL-6; and (3), sex-based differences in inflammation were a function of depressive symptoms. METHODS: We measured depressive symptoms (twice), hsCRP, and IL-6 (follow-up time point) in 84 apparently healthy individuals (52% women) at high cardiac risk. RESULTS: Patients with persistent depressive symptoms had higher hsCRP, compared to participants without persistent symptoms (5.55 vs. 1.70 mg/l, p < 0.05, 95% CI 0.11 to 1.09, d = 0.67). Participants with current depressive symptoms had higher hsCRP (3.99 vs. 1.70 mg/l, p = 0.059) than those without symptoms. Findings remained unchanged after controlling for covariates. Women had higher adjusted hsCRP than men (2.91 vs. 1.87 mg/l, p < 0.001). When we entered depressive symptoms, the model remained significant, with a significant interaction between sex and symptoms: women with depressive symptoms had higher hsCRP than men with depressive symptoms and than women without symptoms (6.75 vs. 1.11 mg/l). The hypothesized differences were not observed with respect to IL-6, after controlling for body mass index (95% CI-0.77 to 0.73). CONCLUSIONS: Before a first ischaemic coronary event, persistent mild-to-moderate depressive symptoms were associated with increased hsCRP. Women with depressive symptoms had higher hsCRP than men with symptoms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".