Predictive effect of Bayes discrimination in the level of serum protein factors and cognitive dysfunction in schizophrenia
10.3760/cma.j.cn371468-20200914-01717
- VernacularTitle:Bayes判别在精神分裂症血清蛋白因子水平与认知功能障碍中的预测作用
- Author:
Minmin KANG
;
Zhengyuan HUANG
;
Hongxu CHEN
;
Peng XIONG
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2021;30(1):33-38
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the correlation between serum protein factor level and clinical symptoms and cognitive impairment in patients with schizophrenia and to predict the degree of cognitive impairment, so as to provide an auxiliary method for clinical evaluation of cognitive impairment severity and prognosis of schizophrenia.Methods:From September 2017 to April 2019, 71 schizophrenic patients diagnosed in the First Affiliated Hospital of Kunming Medical University were selected as the patient group, and 65 healthy volunteers from the physical examination center of the same hospital were selected as the control group.The concentrations of tumor necrosis factor α(TNF-α), brain-derived neurotrophic factor(BDNF) and calcium-binding protein β(S100β) in peripheral blood were detected by ELISA method.Cognitive function was evaluated by MATRICS consensus cognitive battery(MCCB) cognitive assessment.The clinical symptoms of patients were evaluated by positive and negative syndrome scale(PANSS) scale.SPSS 20.0 software was used for statistical analysis, independent sample t-test was used for comparison between groups, and Pearson correlation analysis was used for the relationship between serum protein factor level and cognitive function and clinical symptoms.In order to objectively predict, evaluate and verify the severity of cognitive impairment in schizophrenia, Bayes discriminant function was established with serum protein factor concentration and PANSS total score as independent variables and the defect degree of cognitive factors in MCCB as dependent variables. Results:The serum TNF-α((63.2±25.2)pg/L vs (31.4±14.3)pg/L) and S100β((68.0±26.4)pg/L vs (47.3±20.2)pg/L) concentrations in the patient group were higher than those in the control group.The concentration of serum BDNF in the patient group was lower than that in the control group ((2 517.8±1 140.2)pg/L vs (5 202.2±447.2)pg/L), and the difference was statistically significant ( P=0.000). In the retrospective test of cognitive impairment severity in Bayes discriminant function model, the correct discrimination rates of four cognitive factors were speed of processing(SoP) 69.0%, Verbal learning(VeL) 63.4%, reasoning and problem solving(RPS) 76.1% and visual learning(ViL) 73.2%.The correct discrimination rates of cross-examination were SoP 66.2%, VeL 60.6%, RPS 73.2%, ViL 66.2. Conclusion:The levels of serum protein factors TNF-α, BDNF and S100β and clinical symptom scores of schizophrenia have different degrees of correlation with the severity score of cognitive impairment.Bayes discriminant function model has higher correct discrimination rate for the severity of cognitive impairment of schizophrenia.It is found that the levels of schizophrenia-related protein factors and clinical symptom scores may have predictive effect on the severity of cognitive impairment, providing a more objective basis for the clinical efficacy evaluation of schizophrenia patients.
