Peripheral sub-inflammation is associated with antidepressant ă consumption in schizophrenia. Results from the multi-center FACE-SZ data ă set
Bibliographic record
Abstract
Objectives: The relation between C-Reactive Protein (CRP), depression a and antidepressant consumption has been well explored in major a depressive disorders but not in schizophrenia, which has a high rate of a depression comorbidity. The objectives of this study were: (i) to a determine the prevalence of abnormal CRP levels, depression and a antidepressant consumption in a multicenter community-dwelling sample of a subjects with schizophrenia (ii) to determine the association between a abnormal CRP levels, depression and antidepressant consumption in a schizophrenia. a Method: 219 stable patients with schizophrenia (mean age=31.6 years, a 75.3% male gender) were systematically included in the multicentre a network of FondaMental Expert Center for schizophrenia (FACESZ) and a assessed with a dedicated electronic medical record including the a Structured Clinical Interview for DSM-IV Axis I Disorders and Calgary a Depression Scale for depression. High sensitivity CRP (hs-CRP) was a measured with an assay using nephelometry (Dade Behring). Abnormal CRP a level was defined by levels > 3 mg/L. Current medication was recorded. a Results: Overall, 63 subjects (28.8%) were found to have abnormal CRP a levels, 43 (20.1%) received a diagnosis of comorbid current depression, a and 51 (31.9%) had ongoing antidepressant treatment. In univariate a analysis, abnormal CRP levels were found to be significantly associated a with body mass index (BMI) (p 0.05). a In a multivariate model, abnormal CRP was associated with antidepressant a consumption independently of other confounding variables (adjusted Odds a Ratio =2.8, 95% confidence interval 1.226.62). Metabolic syndrome was a also independently associated with abnormal CRP (adjusted Odds Ratio = a 2.6, 95% confidence interval 1.01-6.71). a Conclusion: Abnormal CRP levels in schizophrenia were found to be a associated with antidepressant consumption, but not with depression. The a potential mechanisms were discussed. Antidepressant consumption should a be systematically recorded in future studies exploring inflammation in a schizophrenia. Future clinical trials of interventions directed at a lowering the level of CRP and other inflammatory markers are discussed. a (c) 2015 Elsevier BY. All rights reserved.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".