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 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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".