Elevated C-Reactive Protein and Erythrocyte Sedimentation Rate Correlates with Depression in Psoriasis: A Chinese Cross-Sectional Study
Bibliographic record
Abstract
Purpose: Psoriasis patients often suffers from anxiety and depression. Inflammation, anxiety, and depression have been associated with each other, but the relationship has not been examined in subjects with psoriasis. The primary objective was to investigate the relationship between the C-reactive protein (CRP) and the erythrocyte sedimentation rate (ESR) and depression among patients with psoriasis. Methods: In this case-control, cross-sectional study, 239 individuals with psoriasis and 142 with healthy controls (HCs) were recruited. Psychological as well as clinical, and laboratory data were collected. Results: 50.2% of subjects with psoriasis reported depressive symptoms, compared with 26.8% of HCs. 39.7% and 17.6% observed anxiety symptoms in psoriasis patients and HCs. The odds of anxiety (AOR= 3.123; 95% CI = 1.851-5.269) and depression (AOR= 2.698; 95% CI = 1.690-4.306) were higher in psoriasis patients relative to HCs. Furthermore, the elevated CRP (AOR =2.139; 95% CI = 1.249-3.663) and ESR (AOR =1.827; 95% CI = 1.078-3.096) were the risk factors of depression in patients with psoriasis. The threshold for distinguish psoriasis patients in depression was 3.24 (area under the curve [AUC], 0.605; sensitivity, 0.57; specificity, 0.64) for CRP and 26.5 (AUC, 0.632; sensitivity, 0.52; specificity, 0.73) for ESR. Conclusion: A substantial prevalence of anxiety and depression symptoms was observed in Chinese psoriasis subjects, and the odds were much higher in psoriasis patients relative to HCs. The elevated CRP and ESR level was significantly associated with depression in psoriasis patients. Besides, the discrimination capability of CPR and ESR on depression further indicates the extra value of inflammatory biomarkers in the management of psoriasis patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".