Wirginia Krzyściak, Marta Szwajca, Natalia Śmierciak, Robert Chrzan, Aleksander Turek, Paulina Karcz, Amira Bryll, Maciej Pilecki, Eva Morava, Anna Ligęzka, Tamas Kozicz, Paulina Mazur, Bogna Batko, Anna Skalniak, Tadeusz Popiela
Identifying disease predictors through advanced statistical models enables the discovery of treatment targets for schizophrenia. In this study, a multifaceted clinical and laboratory analysis was conducted, incorporating magnetic resonance spectroscopy with immunology markers, psychiatric scores, and biochemical data, on a cohort of 45 patients diagnosed with schizophrenia and 51 healthy controls. The aim was to delineate predictive markers for diagnosing schizophrenia. A logistic regression model was used, as utilized to analyze the impact of multivariate variables on the prevalence of schizophrenia...
March 8, 2024: Scientific Reports