Observational Study
Copyright ©The Author(s) 2025.
World J Psychiatry. Jun 19, 2025; 15(6): 106775
Published online Jun 19, 2025. doi: 10.5498/wjp.v15.i6.106775
Table 1 General information of patients in three groups
Variables
SCZ group (n = 117)
PTSD group (n = 108)
RDD group (n = 105)
F
P value
Age (year), mean ± SD26.97 ± 6.1526.28 ± 5.4927.10 ± 5.230.6690.513
GenderMale5452355.6450.06
Female635670
Years of education12.37 ± 3.3212.49 ± 2.6812.03 ± 2.860.6880.503
BMI23.13 ± 3.4322.64 ± 3.0022.94 ± 3.150.6650.515
Course of disease (months)4.81 ± 1.225.02 ± 1.084.95 ± 1.410.8190.442
Table 2 Cerebral hemodynamic indices in three groups of patients, mean ± SD
Variables
SCZ group (n = 117)
PTSD group (n = 108)
RDD group (n = 105)
F
P value
Vm-MCA57.25 ± 10.2656.21 ± 8.1559.36 ± 9.16b3.2140.041
Vs-MCA88.52 ± 15.0387.25 ± 13.6491.26 ± 13.26b2.2600.106
Vd-MCA41.05 ± 11.6340.55 ± 10.6944.69 ± 8.19ab5.1430.006
PI-MCA0.81 ± 0.180.82 ± 0.150.79 ± 0.211.2550.287
RI-MCA0.55 ± 0.190.57 ± 0.190.55 ± 0.150.7770.461
Vm-ACA48.75 ± 10.8247.65 ± 9.9544.25 ± 10.21a,b5.5970.004
Vs-ACA74.36 ± 12.0973.69 ± 10.2171.15 ± 12.95a2.2200.110
Vd-ACA31.95 ± 9.1132.66 ± 8.8134.21 ± 9.471.7640.173
PI-ACA0.86 ± 0.210.86 ± 0.220.79 ± 0.322.0430.131
RI-ACA0.58 ± 0.210.55 ± 0.140.59 ± 0.151.7640.173
Vm-PCA34.21 ± 7.6737.65 ± 6.35a33.32 ± 5.54b12.843< 0.001
Vs-PCA51.06 ± 8.1554.84 ± 8.69a50.94 ± 7.47b8.102< 0.001
Vd-PCA22.61 ± 6.9524.36 ± 5.5821.33 ± 5.49b6.6990.001
PI-PCA0.80 ± 0.190.77 ± 0.140.82 ± 0.15b2.6510.072
RI-PCA0.59 ± 0.180.63 ± 0.180.63 ± 0.151.8240.163
Vm-BA35.61 ± 7.6438.21 ± 6.65a35.24 ± 7.19b5.5060.004
Vs-BA55.26 ± 10.6257.95 ± 8.65a54.86 ± 9.16b3.3390.037
Vd-BA22.82 ± 7.1924.69 ± 6.17a22.17 ± 7.71b3.7030.026
PI-BA0.81 ± 0.210.76 ± 0.150.83 ± 0.19b4.3230.014
RI-BA0.56 ± 0.120.52 ± 0.150.58 ± 0.12b5.6050.004
Vm-VA35.61 ± 7.6538.19 ± 6.6540.22 ± 7.49a,b11.198< 0.001
Vs-VA56.85 ± 12.4358.41 ± 10.6559.17 ± 9.331.3130.270
Vd-VA18.21 ± 7.4524.16 ± 7.95a23.27 ± 6.13a,b22.261< 0.001
PI-VA0.78 ± 0.170.73 ± 0.15a0.73 ± 0.14a4.1290.017
RI-VA0.58 ± 0.150.52 ± 0.13a0.54 ± 0.153.4440.033
Table 3 Univariate and multivariate logistic regression analyses in patients with schizophrenia with auditory verbal hallucinations
Variables
Univariate logistic regression analysis
Multivariate logistic regression analysis
β
SE
Z
P value
OR (95%CI)
β
SE
Z
P value
OR (95%CI)
Vm-MCA-0.020.01-1.600.1100.98 (0.95-1.01)-----
Vs-MCA-0.010.01-1.420.1540.99 (0.97-1.01)-----
Vd-MCA-0.040.01-2.600.0090.96 (0.94-0.99)-0.060.02-3.43< 0.0010.94 (0.91-0.97)
PI-MCA0.510.680.750.4551.66 (0.44-6.27)-----
RI-MCA-0.330.77-0.420.6730.72 (0.16-3.27)-----
Vm-ACA0.040.013.050.0021.04 (1.01-1.07)0.060.023.70< 0.0011.06 (1.03-1.10)
Vs-ACA0.020.011.880.0601.02 (1.00-1.04)-----
Vd-ACA-0.030.01-1.800.0720.97 (0.95-1.00)-----
PI-ACA0.850.511.650.0992.33 (0.85-6.36)-----
RI-ACA-0.180.75-0.240.8120.84 (0.19-3.65)-----
Vm-PCA0.020.020.990.3211.02 (0.98-1.06)-----
Vs-PCA0.000.020.110.9091.00 (0.97-1.04)-----
Vd-PCA0.030.021.490.1361.03 (0.99-1.08)-----
PI-PCA-1.000.81-1.240.2140.37 (0.08-1.78)-----
RI-PCA-1.530.85-1.810.0710.22 (0.04-1.14)-----
Vm-BA0.010.020.360.7171.01 (0.97-1.04)-----
Vs-BA0.000.010.290.7701.00 (0.98-1.03)-----
Vd-BA0.010.020.650.5141.01 (0.98-1.05)-----
PI-BA-0.750.68-1.110.2670.47 (0.13-1.78)-----
RI-BA-2.041.18-1.720.0850.13 (0.01-1.33)-----
Vm-VA-0.080.02-4.16< 0.0010.92 (0.89-0.96)-0.110.02-4.72< 0.0010.90 (0.86-0.94)
Vs-VA-0.020.01-1.550.1210.98 (0.96-1.01)-----
Vd-VA-0.110.02-4.85< 0.0010.90 (0.86-0.94)-0.130.03-5.03< 0.0010.88 (0.84-0.93)
PI-VA2.110.892.380.0178.26 (1.45-47.10)-----
RI-VA1.300.901.450.1483.66(0.63-21.25)-----
Table 4 Confusion matrix analysis for clinical prediction model 1
AUC (95%CI)
Accuracy (95%CI)
Sensitivity (95%CI)
Specificity (95%CI)
PPV (95%CI)
NPV (95%CI)
Cut off
0.82 (0.76-0.87)0.78 (0.72-0.83)0.72 (0.64-0.81)0.83 (0.76-0.90)0.79 (0.71-0.87)0.77 (0.70-0.84)0.464
Table 5 Univariate and multivariate logistic regression analyses in patients with post-traumatic stress disorder with auditory verbal hallucinations
Variables
Univariate logistic regression analysis
Multivariate logistic regression analysis
β
SE
Z
P
OR (95%CI)
β
SE
Z
P
OR (95%CI)
Vm-MCA-0.040.02-2.590.0100.96 (0.93-0.99)-0.060.02-2.740.0060.95 (0.91-0.98)
Vs-MCA-0.020.01-2.140.0330.98 (0.96-0.99)-0.040.01-2.750.0060.96 (0.94-0.99)
Vd-MCA-0.050.02-3.050.0020.96 (0.93-0.98)-0.060.02-2.710.0070.95 (0.91-0.98)
PI-MCA1.200.761.580.1143.33 (0.75-14.84)-----
RI-MCA0.660.790.830.4041.93 (0.41-9.11)-----
Vm-ACA0.030.012.410.0161.03 (1.01-1.06)0.050.022.450.0141.05 (1.01-1.09)
Vs-ACA0.020.011.570.1151.02 (1.00-1.04)-----
Vd-ACA-0.020.02-1.230.2170.98 (0.95-1.01)-----
PI-ACA0.810.511.600.1102.24 (0.83-6.04)-----
RI-ACA-1.900.96-1.980.0480.15 (0.02-0.98)-----
Vm-PCA0.120.034.71< 0.0011.13 (1.08-1.19)0.120.033.61< 0.0011.13 (1.06-1.20)
Vs-PCA0.060.023.31< 0.0011.06 (1.03-1.10)0.070.022.690.0071.07 (1.02-1.12)
Vd-PCA0.100.033.73< 0.0011.11 (1.05-1.17)0.130.043.54< 0.0011.14 (1.06-1.23)
PI-PCA-2.551.01-2.520.0120.08 (0.01-0.57)-2.771.38-2.010.0440.06 (0.00-0.93)
RI-PCA-0.200.82-0.240.8100.82 (0.16-4.12)-----
Vm-BA0.060.023.010.0031.06 (1.02-1.11)0.100.033.50< 0.0011.10 (1.04-1.17)
Vs-BA0.040.022.460.0141.04 (1.01-1.07)0.050.022.470.0131.06 (1.01-1.10)
Vd-BA0.050.022.570.0101.05 (1.01-1.10)-----
PI-BA-2.550.85-3.000.0030.08 (0.01-0.41)-----
RI-BA-3.381.10-3.070.0020.03 (0.00-0.30)-4.071.46-2.790.0050.02 (0.00-0.30)
Vm-VA-0.040.02-2.050.0400.96 (0.92-0.99)-----
Vs-VA-0.010.01-0.560.5740.99 (0.97-1.02)-----
Vd-VA0.020.020.900.3661.02 (0.98-1.06)-----
PI-VA0.040.950.050.9641.04 (0.16-6.71)-----
RI-VA-1.061.00-1.060.2910.35 (0.05-2.48)-----
Table 6 Confusion matrix analysis for clinical prediction model 2
AUC (95%CI)
Accuracy (95%CI)
Sensitivity (95%CI)
Specificity (95%CI)
PPV (95%CI)
NPV (95%CI)
Cut off
0.88 (0.83-0.92)0.80 (0.75-0.89)0.79 (0.71-0.86)0.79 (0.71-0.87)0.79 (0.71-0.87)0.82 (0.74-0.89)0.534
Table 7 Univariate and multivariate logistic regression analyses in patients with recurrent depressive disorder with auditory verbal hallucinations
Variables
Univariate logistic regression analysis
Multivariate logistic regression analysis
β
SE
Z
P
OR (95%CI)
β
SE
Z
P
OR (95%CI)
Vm-MCA0.030.012.350.0191.03 (1.01-1.06)0.050.023.120.0021.05 (1.02-1.08)
Vs-MCA0.020.012.000.0451.02 (1.01-1.03)-----
Vd-MCA0.040.013.110.0021.04 (1.01-1.06)0.060.013.91< 0.0011.06 (1.03-1.09)
PI-MCA-0.880.65-1.360.1740.41 (0.12-1.48)-----
RI-MCA-0.130.65-0.210.8370.87 (0.24-3.13)-----
Vm-ACA-0.040.01-3.160.0020.96 (0.94-0.99)-0.050.01-3.45< 0.0010.95 (0.93-0.98)
Vs-ACA-0.020.01-2.050.0410.98 (0.96-0.99)-0.030.01-2.140.0320.97 (0.95-0.99)
Vd-ACA0.020.011.770.0761.02 (1.00-1.05)-----
PI-ACA-0.960.48-2.000.0450.38 (0.15-0.98)-----
RI-ACA0.780.701.110.2692.17 (0.55-8.59)-----
Vm-PCA-0.060.02-3.100.0020.94 (0.91-0.98)-0.060.02-2.930.0030.94 (0.90-0.98)
Vs-PCA-0.030.01-1.960.0500.97 (0.94-0.99)-0.040.02-2.090.0360.96 (0.93-0.99)
Vd-PCA-0.060.02-2.860.0040.94 (0.91-0.98)-0.070.02-2.920.0040.93 (0.89-0.98)
PI-PCA1.540.762.040.0414.67 (1.06-20.51)-----
RI-PCA0.810.701.160.2472.26 (0.57-8.95)-----
Vm-BA-0.030.02-1.870.0620.97 (0.94-1.00)-----
Vs-BA-0.020.01-1.480.1400.98 (0.96-1.01)-----
Vd-BA-0.030.02-1.840.0660.97 (0.94-1.00)-----
PI-BA1.490.652.300.0214.44 (1.25-15.80)-----
RI-BA2.650.972.740.00614.10 (2.12-93.73)3.231.162.790.00525.30 (2.62-244.31)
Vm-VA0.060.023.71< .0011.07 (1.03-1.10)0.090.024.39< 0.0011.09 (1.05-1.13)
Vs-VA0.010.011.220.2231.01 (0.99-1.04)-----
Vd-VA0.040.022.410.0161.04 (1.01-1.07)0.070.023.61< 0.0011.07 (1.03-1.11)
PI-VA-1.150.78-1.480.1400.32 (0.07-1.46)-----
RI-VA-0.280.82-0.350.7290.75 (0.15-3.74)-----
Table 8 Confusion matrix analysis for clinical prediction model 3
AUC (95%CI)
Accuracy (95%CI)
Sensitivity (95%CI)
Specificity (95%CI)
PPV (95%CI)
NPV (95%CI)
Cut off
0.81 (0.77-0.86)0.75 (0.70-0.80)0.74 (0.68-0.80)0.78 (0.70-0.86)0.88 (0.83-0.92)0.58 (0.50-0.66)0.314