Predictive factors for post-cerebral infarction depression: A retrospective study of 156 patients

Figure 1 Receiver operating characteristic curves comparing the diagnostic performance of the combined predictive model and individual biomarkers for post-stroke depression. The combined model integrating clinical, neuroimaging, and biochemical parameters achieved the highest area under the curve = 0.89, followed by brain-derived neurotrophic factor alone (area under the curve = 0.83). All curves were significantly superior to the reference line (all P < 0.001). AUC: Area under the curve; BDNF: Brain-derived neurotrophic factor; IL: Interleukin; NIHSS: National Institutes of Health Stroke Scale.

Figure 2 Forest plot of odds ratios (95% confidence interval) for predictive factors of post-stroke depression from multivariate logistic regression. Blue markers indicate statistically significant independent predictors (P < 0.05); gray markers indicate non-significant variables. The dashed vertical line represents odds ratio = 1.0 (no effect). BDNF: Brain-derived neurotrophic factor; NIHSS: National Institutes of Health Stroke Scale; SSRS: Social Support Rating Scale; IL: Interleukin; CI: Confidence interval.