Predictive values of serum fibroblast growth factor 22 levels and electrical P300 in occurrence of mild cognitive impairment in patients with depression
10.3760/cma.j.cn115354-20220101-00002
- VernacularTitle:血清FGF22水平和脑电P300对抑郁症患者发生轻度认知功能障碍的预测价值
- Author:
Yuhao XU
1
;
Ming YU
;
Yan ZHU
;
Yuefeng LI
Author Information
1. 江苏大学附属医院神经内科，镇江 212001
- Keywords:
Depression;
Mild cognitive impairment;
Fibroblast growth factor 22;
P300;
Prediction
- From:
Chinese Journal of Neuromedicine
2022;21(6):587-592
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive values of serum fibroblast growth factor 22 (FGF22) levels and electrical P300 in depression patients occurred mild cognitive impairment (MCI).Methods:A prospective study was performed. A total of 94 depression patients without cognitive impairment admitted to our hospital from January 2020 to August 2021 were chosen. These patients were followed up for one year; Hamilton Depression Scale (HAMD)-24 items and Montreal Cognitive Assessment Scale (MoCA) were used to evaluate the neuropsychological function of the patients every 3 months; according to the occurrence of MCI, the patients were divided into depression with MCI group ( n=57), and depression without MCI group ( n=32). All patients underwent baseline P300 examination and baseline serum FGF22 levels were detected by enzyme-linked immunosorbent assay (ELISA), and the differences in clinical data, P300 examination results and serum FGF22 levels were compared between the two groups. Correlation analysis was performed to analyze the correlations of P300 latency and serum FGF22 level with MoCA scores. Multivariate Logistic regression analysis was used to screen the independent influence factors for MCI in patients with depression. The predictive value of P300 latency and serum FGF22 level in MCI in patients with depression was analyzed by receiver operating characteristic (ROC) curve. Results:As compared with the depression without MCI group, patients in the depression with MCI group had significantly lower years of education and serum FGF22 level, and significantly higher proportion of patients living alone, and statistically higher P300 latency ( P<0.05). The results of correlation analysis showed that the MoCA scores at MCI period were positively correlated with serum FGF22 level ( r=0.665, P<0.001) and negatively correlated with P300 latency ( r=-0.621, P<0.001) in patients from the depression with MCI group. Multivariate Logistic regression analysis showed that serum FGF22 level was a protective factor for MCI in patients with depression ( OR=0.805, 95%CI: 0.737-0.862, P=0.003), and P300 latency was a risk factor for MCI in patients with depression ( OR=1.136, 95%CI: 1.115-1.163, P=0.001). ROC curve analysis showed that the areas under the curve (AUC) of serum FGF22 level, P300 latency, serum FGF22 level combined with P300 latency in predicting MCI in depression patients were 0.779, 0.724, and 0.852, respectively. Conclusion:The abnormal serum FGF22 level and P300 latency are closely related to the occurrence of MCI in patients with depression, and the combination of the two can be used to predict the occurrence of MCI in patients with depression.
