Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Apr 11;67(1):e36.
doi: 10.1192/j.eurpsy.2024.17.

PsiOvi Staging Model for Schizophrenia (PsiOvi SMS): A New Internet Tool for Staging Patients with Schizophrenia

Affiliations

PsiOvi Staging Model for Schizophrenia (PsiOvi SMS): A New Internet Tool for Staging Patients with Schizophrenia

Clara Martínez-Cao et al. Eur Psychiatry. .

Abstract

Background: One of the challenges of psychiatry is the staging of patients, especially those with severe mental disorders. Therefore, we aim to develop an empirical staging model for schizophrenia.

Methods: Data were obtained from 212 stable outpatients with schizophrenia: demographic, clinical, psychometric (PANSS, CAINS, CDSS, OSQ, CGI-S, PSP, MATRICS), inflammatory peripheral blood markers (C-reactive protein, interleukins-1RA and 6, and platelet/lymphocyte [PLR], neutrophil/lymphocyte [NLR], and monocyte/lymphocyte [MLR] ratios). We used machine learning techniques to develop the model (genetic algorithms, support vector machines) and applied a fitness function to measure the model's accuracy (% agreement between patient classification of our model and the CGI-S).

Results: Our model includes 12 variables from 5 dimensions: 1) psychopathology: positive, negative, depressive, general psychopathology symptoms; 2) clinical features: number of hospitalizations; 3) cognition: processing speed, visual learning, social cognition; 4) biomarkers: PLR, NLR, MLR; and 5) functioning: PSP total score. Accuracy was 62% (SD = 5.3), and sensitivity values were appropriate for mild, moderate, and marked severity (from 0.62106 to 0.6728).

Discussion: We present a multidimensional, accessible, and easy-to-apply model that goes beyond simply categorizing patients according to CGI-S score. It provides clinicians with a multifaceted patient profile that facilitates the design of personalized intervention plans.

Keywords: clinical tool; empirical staging model; multidimensional model; personalized intervention; schizophrenia.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest related to the submitted work.

Figures

Figure 1.
Figure 1.
Flowchart of the algorithm employed in this research. GA Genetic Algorithm.
Figure 2.
Figure 2.
Development of our model using Machine-Learning techniques. CGI-S Clinical Global Impression-Schizophrenia Severity.
Figure 3.
Figure 3.
Variables included in the staging model. PANSS Positive and Negative Syndrome Scale, PANSS-P Positive, PANSS-MNF Marder Negative Factor, PANSS-GP General Psychopathology, CDSS Calgary Depression Scale for Schizophrenia, TMT A Trail Making Test A, BVMT-R Brief Visuospatial Memory Test Revised, MSCEIT Mayer-Salovey-Caruso Emotional Intelligence Test: Managing Emotions, PLR Platelets/lymphocytes Ratio, MLR Monocytes/lymphocytes Ratio, NLR Neutrophils/lymphocytes Ratio; PSP-Total: Personal and Social Performance Total score.

Similar articles

Cited by

References

    1. Woo JJ, Pouget JG, Zai CC, Kennedy JL. The complement system in schizophrenia: Where are we now and what’s next? Mol Psychiatry. 2020;25(1):114–30. 10.1038/s41380-019-0479-0. - DOI - PubMed
    1. Kraguljac NV, McDonald WM, Widge AS, Rodriguez CI, Tohen M, Nemeroff CB. Neuroimaging biomarkers in schizophrenia. Am Jl Psychiatry. 2021;178(6):509–21. 10.1176/appi.ajp.2020.20030340. - DOI - PMC - PubMed
    1. Scott J, Leboyer M, Hickie I, Berk M, Kapczinski F, Frank E, et al. Clinical staging in psychiatry: A cross-cutting model of diagnosis with heuristic and practical value. Br J Psychiatry. 2013;202(4):243–5. 10.1192/bjp.bp.112.110858. - DOI - PubMed
    1. Fusar‐Poli P, McGorry PD, Kane JM. Improving outcomes of first‐episode psychosis: An overview. World Psychiatry. 2017;16(3):251–65. 10.1002/wps.2044. - DOI - PMC - PubMed
    1. Gupta T, Mittal VA. Advances in clinical staging, early intervention, and the prevention of psychosis. F1000Research. 2019;8. 10.12688/f1000research.20346.1. - DOI - PMC - PubMed

Publication types