The Association Between Major Depression and Levels of Soluble Intercellular Adhesion Molecule 1, Interleukin-6, and C-Reactive Protein in Patients With Recent Acute Coronary Syndromes
Bibliographic record
Abstract
OBJECTIVE: This study was conducted to determine whether or not depression is associated with higher levels of inflammatory markers in patients recovering from acute coronary syndromes. METHOD: Plasma levels of soluble intercellular adhesion molecule 1 (sICAM-1) and interleukin-6 (IL-6) and the serum level of C-reactive protein were measured in 481 patients 2 months after hospitalization for acute coronary syndromes. Diagnosis of major depression was based on the Structured Clinical Interview for DSM-IV. RESULTS: Depressed patients showed significantly higher sICAM-1 levels, a difference that remained significant after adjustment for potential confounders (gender, smoking, presence of metabolic syndrome). Although there was no significant association between depression and IL-6, there was an interaction between depression and statin therapy for levels of C-reactive protein. Depressed patients not taking statins had markedly higher C-reactive protein levels than did nondepressed patients. There was no relationship with depression in those receiving statins. CONCLUSIONS: These results suggest chronic endothelial activation among depressed patients after acute coronary syndromes. Further research is needed to determine whether or not higher levels of sICAM-1 may identify a subgroup of depressed patients at particularly high risk for cardiac events among patients with established coronary artery disease or among those without previous coronary artery disease.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".