PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Clinical Variables and Peripheral Biomarkers Associated with Substance-Induced Psychotic Disorder: Which Differences between Alcohol, Cannabis and Psychostimulants?
Version 1
: Received: 17 February 2024 / Approved: 18 February 2024 / Online: 19 February 2024 (14:34:50 CET)
How to cite:
Di Paolo, M.; Calabrese, A.; Nosari, G.; Ciappolino, V.; Cirella, L.; Caldiroli, A.; Capuzzi, E.; Clerici, M.; Buoli, M. Clinical Variables and Peripheral Biomarkers Associated with Substance-Induced Psychotic Disorder: Which Differences between Alcohol, Cannabis and Psychostimulants?. Preprints2024, 2024020962. https://doi.org/10.20944/preprints202402.0962.v1
Di Paolo, M.; Calabrese, A.; Nosari, G.; Ciappolino, V.; Cirella, L.; Caldiroli, A.; Capuzzi, E.; Clerici, M.; Buoli, M. Clinical Variables and Peripheral Biomarkers Associated with Substance-Induced Psychotic Disorder: Which Differences between Alcohol, Cannabis and Psychostimulants?. Preprints 2024, 2024020962. https://doi.org/10.20944/preprints202402.0962.v1
Di Paolo, M.; Calabrese, A.; Nosari, G.; Ciappolino, V.; Cirella, L.; Caldiroli, A.; Capuzzi, E.; Clerici, M.; Buoli, M. Clinical Variables and Peripheral Biomarkers Associated with Substance-Induced Psychotic Disorder: Which Differences between Alcohol, Cannabis and Psychostimulants?. Preprints2024, 2024020962. https://doi.org/10.20944/preprints202402.0962.v1
APA Style
Di Paolo, M., Calabrese, A., Nosari, G., Ciappolino, V., Cirella, L., Caldiroli, A., Capuzzi, E., Clerici, M., & Buoli, M. (2024). Clinical Variables and Peripheral Biomarkers Associated with Substance-Induced Psychotic Disorder: Which Differences between Alcohol, Cannabis and Psychostimulants?. Preprints. https://doi.org/10.20944/preprints202402.0962.v1
Chicago/Turabian Style
Di Paolo, M., Massimo Clerici and Massimiliano Buoli. 2024 "Clinical Variables and Peripheral Biomarkers Associated with Substance-Induced Psychotic Disorder: Which Differences between Alcohol, Cannabis and Psychostimulants?" Preprints. https://doi.org/10.20944/preprints202402.0962.v1
Abstract
Introduction:Substance-induced psychotic disorder (SIPD) is a mental health condition linked to the use of a psychotropic substance whose pathogenesis has not been totally clarified. The present retrospective observational study has the objective to identify differences in clinical features and peripheral biomarkers in SIPD patients according to the main substance of abuse.Methods: A total sample of 218 patients was divided in 3 groups according to the type of consumed substance: alcohol, cannabis and psychostimulants. The 3 groups were compared for continuous variables by one-way analyses of variance (ANOVAs) and for qualitative variables by χ² tests. After removing alcohol-induced psychotic disorder group, the same analyses were repeated. Statistically significant variables from these latter analyses were included in a binary logistic regression model to confirm their reliability as predictors for cannabis- or psychostimulants-induced psychotic disorders. Results: Psychotic cannabis abusers were younger (p<0.01) and had an earlier age at onset (p<0.01). On the contrary, alcohol consumers resulted to have a longer duration of illness (p<0.01), more previous hospitalizations (p=0.04), more frequent medical comorbidity (p<0.01), higher mean Modified Sad Person Scale scores (p<0.01). Finally, psychostimulant abusers had more frequently a lifetime history of poly-substance use disorders (p<0.01). Binary logistic regression revealed that higher mean Brief Psychiatric Rating Scale scores (p<0.01) higher sodium (p=0.012) and haemoglobin(p=0.040) plasma levels were predictors of cannabis misuse in SIPD patients.Conclusions: Different clinical factors and biochemical parameters con be associated to SIPD according to the main substance of abuse, thus requiring a specific management by clinicians.
Medicine and Pharmacology, Psychiatry and Mental Health
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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