Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2025-01-05T16:19:25.595Z Has data issue: false hasContentIssue false
  • English
  • Français

Clinical and genetic predictors of the severity and activity of paranoid schizophrenia

Published online by Cambridge University Press:  23 March 2020

Y. Barylnik ,
E. Kolesnichenko ,
Y. Abrosimova ,
S. Pakhomova ,
D. Samoylova ,
N. Filippova ,
E. Bachilo ,
A. Antonova ,
S. Sizov  and
T. Ledvanova
...Show all authors
E. Kolesnichenko
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
Y. Abrosimova
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
S. Pakhomova
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
D. Samoylova
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
N. Filippova
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
E. Bachilo
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
A. Antonova
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
S. Sizov
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
T. Ledvanova
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia
V. Kuryshev
Affiliation:
Saratov State Medical University, Department of Psychiatry, Narcology, Psychotherapy and Clinical Psychology, Saratov, Russia

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Clinical symptoms, course and outcomes of paranoid schizophrenia are polymorphic. Reliable predictors of severity and activity of schizophrenic process could provide clinicians important prognostic information for adequate and timely implementation of therapeutic and rehabilitative measures. Overall, 206 patients with paranoid schizophrenia were examined. Clinical predictors were collected from hospital records and interviews. BDNF gene Val66Met polymorphism (rs6265 G>A), DRD2 gene C939T polymorphism (rs6275C>T) and 5-HTR2A gene T102C polymorphism (rs6313 T>C) were studied as potential markers of prognosis for paranoid schizophrenia. Results of research testify that the DRD2 gene C939T polymorphism and 5-HTR2A gene T102C polymorphism cannot be used as predictors of the severity and activity of paranoid schizophrenia. The MetMet genotype of BDNF gene Val66Met polymorphism can be used as marker of favorable prognosis for paranoid schizophrenia. Schizoid, epileptoid, psychasthenic and conformal accentuation of personality in the premorbid, early onset of psychosis, paranoid and hallucinatory-paranoid variants of onset predicted more expressed severity of paranoid schizophrenia. These prognostic factors can be taken into account in clinical practice.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
e-Poster Viewing: Schizophrenia and other psychotic disorders
Information
European Psychiatry , Volume 41 , Issue S1: Abstract of the 25th European Congress of Psychiatry , April 2017 , pp. s803
Copyright
Copyright © European Psychiatric Association 2017
Submit a response

Comments

No Comments have been published for this article.