Levels Of Plasma Uric Acid In Schizophrenia
Bibliographic record
Abstract
IntroductionSchizophrenia is a disorder that causes the individual a very high risk of premature death, a high occurrence of positive and negative symptoms and disorganized thoughts and behavior rendering a normal life in society difficult.There is evidence of dysregulation of the antioxidant defense system in schizophreniaAIM : The purpose of the present study was to examine whether uric acid, a potent antioxidant, is reduced in the plasma of patients with schizophrenia.Methods: This was a cross-sectional case-control study conducted between June 2016 and July 2018 on antipsychotic-free schizophrenia patients compared to healthy controls. Patients were hospitalized at the psychiatric C department in Hedi Chaker University Hospital (UH) in Sfax. The diagnosis of schizophrenia was established according to DSM-5 criteria. The symptomsu2019 severity was evaluated according to the positive and negative syndrome scale. Cognitive functions were evaluated according to the Montreal Cognitive Assessment scale.The analysis of uric acid levels was performed in the laboratory of Biochemistry in Habib Bourguiba CHU in Sfax using a colorimetric method by Cobas 6000 (Rocheu00ae)ResultsThis study included 45 patients and 100 male controls. The blood uric acid level was significantly lower in schizophrenia patients compared to controls. (286,07 u00b1 68,9 mmol/l vs 315,8 u00b1 65,6 mmol/l ; p=0,02).There was a significant and negative correlation between uric acid levels and the severity of either negative (PANSS_negative) or positive (PANSS_positive) symptoms. Positive and significant correlations were found between uric acid levels and body mass index (r=0,31; p<0.01).ConclusionThe present findings show that plasma uric acid levels are significantly lower in schizophrenic patients than in normal control subjects, providing further support to the hypothesis that there exist in schizophrenia defects of the antioxidant system
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.069 | 0.030 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.005 | 0.024 |
| Open science | 0.024 | 0.020 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.046 | 0.023 |
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; both teacher heads agree on what is shown here.
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".