Relationship of metabolic parameters with the course of the first episode of psychosis – preliminary research
Bibliographic record
Abstract
OBJECTIVES: Cardiometabolic syndromes are the most common causes of complications shortening life expectancy in patients treated for mental disorders, especially schizophrenia. However, how much cardiometabolic risk is related to lifestyle, side-effects of treatment or psychosis is not clear. The aim of this study was a prospective assessment of metabolic changes in young, initially somatically healthy patients diagnosed with the first acute episode of psychosis with no prior pharmacological treatment. METHODS: The study involved 15 young patients (average age of 19.95 ± 6.88 years). Analyses (laboratory and clinical) were performed at the time of admission and after 3 and 12 weeks and included morphology, lipid profile, glucose, inflammation markers, blood pressure (BP), and body mass index (BMI). The severity of clinical symptoms was assessed using the Positive and Negative Syndrome Scale (PANSS), and the cognitive functioning was assessed using the Montreal Cognitive Assessment (MoCA). The duration of untreated psychosis (DUP) was also measured. RESULTS: There was a significant increase in BMI, dyslipidemia, inflammation, and systolic blood pressure after 12 weeks from the start of the treatment, while cortisol level decreased. A negative correlation was observed between PANSS-P (PANSS positivescale) measurements and total cholesterol, PANSS total and low-density lipoprotein, as well as DUPand MoCA. High-density lipoprotein (HDL) correlated positively with DUP, cortisol, monocytes, and white blood cells in the first week. CONCLUSIONS: The results of the study indicate a relationship between the development and treatment of the first acute episode of psychosis and the results of laboratory tests that are indicators of the development of metabolic stress in patients.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".