Objective To investigate the changing trend of sleep disturbance in patients with hepatolenticular degeneration and the bidirectional relationship between sleep disturbance and depression through a cross-lagged regression analysis. Methods A total of 80 patients who met the diagnostic criteria for WD from January to June 2024 were enrolled in this longitudinal study and were followed up for 3 months.Pittsburgh Sleep Quality Index （PSQI） was used to assess sleep quality， and Beck Depression Inventory （BDI） was used to assess the severity of depression， at the time of enrollment （T0）， at 1 month after enrollment （T1），and at 2 months after enrollment （T3）. An unconditional growth model was used to analyze the trajectory of sleep disturbance， and a cross-lagged regression model was used to investigate the temporal relationship between sleep disturbance and depression. Results From T0 to T2， there were significant increases in PSQI and BDI scores in all WD patients（P<0.05）. The variance of the intercept factor （the initial status of sleep disturbance） was estimated at 10.83（P<0.01），and the variance of the slope factor （the rate of change in sleep disturbance） was 1.20 （P<0.01），with a significant negative correlation between the intercept and the slope （r=-0.25，P<0.01）. The correlation analysis of PSQI and BDI scores across the three time points revealed a positive correlation between PSQI and BDI scores （r∈[0.19，0.96]，P<0.01）.The cross-lagged model analysis showed that sleep disturbance significantly predicted subsequent depression （P<0.01），with standardized regression coefficients （β） of 0.392 and 0.347， respectively； meanwhile， depression also significantly predicted subsequent sleep disturbance （P<0.01）， with β of 0.273 and 0.372， respectively. These findings suggested a bidirectional predictive relationship between sleep disturbance and depression in WD patients over time. Conclusion There is a bidirectional relationship between sleep disturbance and depression in patients with WD， and depression has a more pronounced influence on sleep disturbance. Therefore， clinical interventions should focus on both sleep and psychological state， and combined management should be performed to improve the effect of disease control.
Depression

In view of the problem of TCM diagnosis, grey relational analysis and fuzzy cluster are applied to TCM diagnosis of hepatocirrhosis and are presented in this paper. The validity of the two methods has been assessed through 900 cases in Shanghai. The results are in good agreement with the diagnosis of hepatocirrhosis made by the expert group, thus showing the fuzzy technology is of significance to the development of TCM modernization in an objective way.
Diagnosis, Computer-Assisted ; Diagnosis, Differential ; Fuzzy Logic ; Hepatitis B, Chronic ; complications ; Humans ; Liver Cirrhosis ; diagnosis ; etiology ; Medicine, Chinese Traditional ; methods ; standards