Logistic regression to assess the association of plasma inflammatory markers and the development of asthenia in schizophrenia

Logistic regression to assess the association of plasma inflammatory markers and the development of asthenia in schizophrenia

 

Authors

 

A.N. Simonov

Federal State Budgetary Scientific Institution “Mental Health Research Centre”, Moscow, Russian Federation

S.A. Zozulya

Federal State Budgetary Scientific Institution “Mental Health Research Centre”, Moscow, Russian Federation

T.P. Klyushnik

Federal State Budgetary Scientific Institution “Mental Health Research Centre”, Moscow, Russian Federation

 

https://doi.org/10.26617/1810-3111-2023-3(120)-21-28

 

Journal: Siberian Herald of Psychiatry and Addiction Psychiatry. 2023; 3 (120):  21-28.

 

Abstract

Background. Asthenic syndrome, being the most common transnosological syndrome, occurs in 15-30% of cases within various diseases, accompanies infectious (tuberculosis, influenza, COVID-19) and somatic diseases (chronic heart failure, chronic obstructive pulmonary disease), as well as detected in neurological and mental disorders, negatively affecting the clinical outcome of the disease and significantly reducing the quality of life of patients. Objective: with use of logistic regression to assess the relationship between the activity of leukocyte elastase (LE) and α1-proteinase inhibitor (α1-PI) in blood plasma and the development of asthenia in schizophrenia. Material and Methods: a database analysis was carried out, including clinical-psychopathological and socio-demographic indicators (diagnosis according to ICD-10, duration of the disease, psychometric assessment on the PANSS scale and the MFI-20 scale, gender and age of patients) and immunological parameters (enzymatic activity of LE and functional activity of α1-PI in blood plasma). The research sample included indicators of 95 patients (92 men and 3 women) from 22 to 55 years old with paroxysmal-progressive (F20.x1) and continuous (paranoid) (F20.00) forms of schizophrenia. 61 patients were diagnosed with an asthenic symptom complex. Statistical data processing was carried out using the R (R version 3.2.4) and STATA (version 12.1) programs. Results. Based on the analysis, a mathematical model of binary logistic regression was created that connects the probability of developing asthenia in schizophrenia with the activity of LE and α1-PI. This model adequately describes clinical data and has good predictive ability (sensitivity ‒ 93.44%, specificity ‒ 76.47%, AUC ‒ 0.89). Conclusions. The results of the study indicate the possibility of using the developed mathematical model in clinical practice for additional diagnostics and timely therapeutic correction of asthenic syndrome in schizophrenia.

 

Keywords: asthenia, schizophrenia, inflammation, markers, prognosis, binary logistic regression.

 

Article (pdf)

 

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Materials  

 

For citation: Simonov A.N., Zozulya S.A., Klyushnik T.P. Logistic regression to assess the association of plasma inflammatory markers and the development of asthenia in schizophrenia. Siberian Herald of Psychiatry and Addiction Psychiatry.2023; 3 (120): 21-28. https://doi.org/10.26617/1810-3111-2023-3(120)-21-28.

 

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