Copyright: ©Author(s) 2026.
World J Psychiatry. Oct 19, 2026; 16(10): 121314
Published online Oct 19, 2026. doi: 10.5498/wjp.121314
Published online Oct 19, 2026. doi: 10.5498/wjp.121314
Table 1 Composite indices, observed variables, and theoretical directions in the main structural equation model1
| Composite index | Observed variable | Theoretical direction |
| Lipid pathway (lipid index) | Triglycerides (TG) | Positive: Higher TG → higher lipid index → theoretically higher hypercoagulability/thrombotic risk |
| Total cholesterol (TC) | Positive: Higher TC → higher lipid index → theoretically higher hypercoagulability/thrombotic risk | |
| Low-density lipoprotein cholesterol (LDL-C) | Positive: Higher LDL-C → higher lipid index → theoretically higher hypercoagulability/thrombotic risk | |
| High-density lipoprotein cholesterol (HDL-C) | Negative: Higher HDL-C → lower lipid index (protective) → theoretically lower hypercoagulability risk | |
| Blood pressure pathway (BP index) | Systolic blood pressure (SBP) | Positive: Higher SBP → higher BP index → theoretically higher hypercoagulability risk |
| Diastolic blood pressure (DBP) | Positive: Higher DBP → higher BP index → theoretically higher hypercoagulability risk | |
| Inflammation pathway (inflamm index) | C-reactive protein (CRP) | Positive: Higher CRP → higher inflamm index→ theoretically higher hypercoagulability risk |
| Serum amyloid A (SAA) | Positive: Higher SAA → higher inflamm index → theoretically higher hypercoagulability risk | |
| Total white blood cell count (WBC) | Positive: Higher WBC → higher inflamm index → theoretically higher hypercoagulability risk | |
| Nutritional pathway (nutrition index) | Hemoglobin (HB, marker of anemia and nutritional status) | Negative: Higher HB → lower nutrition index (better nutrition) → theoretically lower hypercoagulability risk |
| Prealbumin (PAB, short-term nutritional marker) | Negative: Higher PAB → lower nutrition index (better nutrition) → theoretically lower hypercoagulability risk | |
| Total protein (TP, hepatic synthetic function and nutritional status) | Negative: Higher TP → lower nutrition index (better synthetic/nutritional status) → theoretically lower hypercoagulability risk | |
| Coagulation substrate [coag (substrate) index] | Fibrinogen (FIB) | Positive: Higher FIB → higher endocoag index → theoretically higher hypercoagulability risk |
| Platelet count (PLT) | Positive: Higher PLT → higher endocoag index → theoretically higher hypercoagulability risk | |
| Coagulation function/time [coag (time) index] | Activated partial thromboplastin time (APTT) | Negative: Longer APTT → stronger anticoagulation/insufficient coagulation factors → theoretically lower hypercoagulability risk |
| Prothrombin time (PT) | Negative: Longer PT → stronger anticoagulation/insufficient coagulation factors → theoretically lower hypercoagulability risk | |
| Thrombin time (TT) | Negative: Longer TT → more pronounced anticoagulation/fibrinolysis → theoretically lower hypercoagulability risk |
Table 2 Additional composite indices and observed variables included in sensitivity analyses1
| Composite index | Observed variable | Theoretical direction |
| Lipid pathway (lipid index) | Atherogenic index of plasma, AIP = log10(TG/HDL-C) | Positive: Higher AIP → greater atherogenic burden → theoretically higher hypercoagulability risk |
| Inflammation pathway (inflamm index) | Absolute neutrophil count (NEU) | Positive: Higher NEU → higher inflammatory/stress response → theoretically higher hypercoagulability risk |
| Absolute monocyte count (MONO) | Positive: Higher MONO → higher chronic inflammation/monocyte–macrophage activation → theoretically higher hypercoagulability risk | |
| Lactate dehydrogenase (LDH) | Positive: Higher LDH → more tissue damage/inflammatory burden → theoretically higher hypercoagulability risk | |
| Systemic inflammation response index (SIRI = NEU × MONO / LYM) | Positive: Higher SIRI → higher immune-inflammatory burden → theoretically higher hypercoagulability risk | |
| Nutritional/ immune sensitivity indices | CONUT score (albumin + total cholesterol + lymphocyte count) | Positive: Higher CONUT score → worse malnutrition → theoretically worse outcomes/higher hypercoagulability risk |
| Prognostic nutritional index (PNI = ALB + 5 × LYM) | Negative: Higher PNI (better albumin and lymphocyte status) → better nutritional/immune status → theoretically lower hypercoagulability risk | |
| Composite covariates | Observed variable | Theoretical direction |
| Hepatic burden domain (hepatic index) | Alanine aminotransferase (ALT) | Positive: Higher ALT → greater hepatocellular injury → theoretically higher hypercoagulability risk |
| Aspartate aminotransferase (AST) | Positive: Higher AST → greater tissue injury → theoretically higher hypercoagulability risk | |
| Gamma-glutamyl transferase (GGT) | Positive: Higher GGT → greater metabolic/cholestatic burden → theoretically higher hypercoagulability risk | |
| Alkaline phosphatase (ALP) | Positive: Higher ALP → greater biliary/bone metabolic burden → theoretically higher hypercoagulability risk | |
| Total bilirubin (TBIL) | Positive: Higher TBIL → greater hepatic/cholestatic dysfunction → theoretically higher hypercoagulability risk | |
| Direct bilirubin (DBIL) | Positive: Higher DBIL → greater hepatobiliary dysfunction → theoretically higher hypercoagulability risk | |
| Renal burden domain (renal index) | Blood urea nitrogen (BUN) | Positive: Higher BUN → worse renal function/protein metabolism → theoretically higher hypercoagulability risk |
| Serum creatinine (Cr) | Positive: Higher Cr → worse renal function → theoretically higher hypercoagulability risk |
Table 3 Descriptive summary of clinical variables and observed laboratory measures1
| Variable | Unit | Missing (n) | Missing (%) | mean ± SD | Distribution |
| Glycemic exposures | |||||
| FPG | mmol/L | 0 | 0 | 6.5 ± 3.0 | 5.6 (5.0-6.8) |
| FA | mmol/L | 0 | 0 | 1.7 ± 0.4 | 1.6 (1.5-1.8) |
| HbA1c | % | 0 | 0 | 5.7 ± 1.0 | 5.4 (5.2-5.8) |
| FA-ALBcorr | 4 | 0.08 | 3.90 ± 0.82 | 3.72 (3.42-4.12) | |
| Outcomes | |||||
| D-dimer | μg/mL | 663 | 13.32 | 0.3 ± 0.8 | 0.1 (0.1-0.3) |
| log(D-dimer) | 663 | 13.32 | 0.24 ± 0.29 | 0.14 (0.06-0.29) | |
| D-dimer (+) | 663 | 13.32 | 622 (14.4) | ||
| Components/derived measures | |||||
| TG | mmol/L | 3 | 0.06 | 1.7 ± 1.4 | 1.3 (0.9-2.0) |
| TC | mmol/L | 70 | 1.41 | 4.5 ± 1.0 | 4.4 (3.8-5.0) |
| LDL-C | mmol/L | 3 | 0.06 | 2.6 ± 0.9 | 2.5 (2.0-3.1) |
| HDL-C | mmol/L | 3 | 0.06 | 1.3 ± 0.4 | 1.3 (1.1-1.5) |
| SBP | mmHg | 1 | 0.02 | 125 ± 17 | 124 (114-135) |
| DBP | mmHg | 1 | 0.02 | 80 ± 11 | 80 (72-87) |
| Hb | g/L | 33 | 0.66 | 135 ± 16 | 134 (125-146) |
| PAB | mg/L | 5 | 0.1 | 286 ± 73 | 278 (236-327) |
| TP | g/L | 4 | 0.08 | 70 ± 6 | 71 (66-74) |
| ALB | g/L | 4 | 0.08 | 44 ± 4 | 44 (41-47) |
| FIB | g/L | 641 | 12.88 | 2.7 ± 0.7 | 2.6 (2.2-3.0) |
| PLT | × 109/L | 33 | 0.66 | 239 ± 69 | 233 (193-281) |
| APTT | seconds | 641 | 12.88 | 28.8 ± 4.9 | 28.1 (25.8-31.0) |
| PT | seconds | 641 | 12.88 | 11.4 ± 1.3 | 11.3 (10.8-11.9) |
| TT | seconds | 641 | 12.88 | 15.3 ± 3.9 | 16.8 (11.1-18.6) |
| ALT | U/L | 0 | 0 | 25 ± 26 | 17 (12-27) |
| AST | U/L | 0 | 0 | 24 ± 19 | 19 (16-25) |
| GGT | U/L | 73 | 1.47 | 25 ± 30 | 17 (12-27) |
| ALP | U/L | 5 | 0.1 | 81 ± 32 | 75 (61-93) |
| TBIL | µmol/L | 1 | 0.02 | 10.5 ± 6.3 | 8.9 (6.4-12.6) |
| DBIL | µmol/L | 2 | 0.04 | 3.1 ± 2.3 | 2.5 (1.8-3.6) |
| BUN | mmol/L | 1 | 0.02 | 4.8 ± 1.8 | 4.5 (3.7-5.6) |
| Cr | µmol/L | 1 | 0.02 | 63.6 ± 17.1 | 61.0 (53.0-72.0) |
| WBC | × 109/L | 33 | 0.66 | 7.3 ± 2.4 | 6.9 (5.6-8.6) |
| CRP | mg/L | 612 | 12.3 | 3.1 ± 9.0 | 0.8 (0.5-2.5) |
| SAA | mg/L | 37 | 0.74 | 13.6 ± 38.1 | 5.8 (3.9-9.5) |
| LDH | U/L | 3 | 0.06 | 173 ± 47 | 164 (144-190) |
| NEU | × 109/L | 101 | 2.03 | 4.8 ± 2.1 | 4.3 (3.3-5.8) |
| MONO | × 109/L | 101 | 2.03 | 0.5 ± 0.2 | 0.5 (0.4-0.6) |
| LYM | × 109/L | 101 | 2.03 | 1.9 ± 0.7 | 1.8 (1.4-2.3) |
| AIP | 3 | 0.06 | 0.02 ± 0.31 | 0.00 (-0.20-0.23) | |
| SIRI | 101 | 2.03 | 1.56 ± 1.57 | 1.12 (0.71-1.84) | |
| CONUT | 105 | 2.11 | |||
| Normal (0-1) | 4144 (85.1) | ||||
| Mild malnutrition (2-4) | 721 (14.8) | ||||
| Moderate severe (5-8) | 6 (0.1) | ||||
| PNI | 105 | 2.11 | 53.4 ± 5.5 | 53.2 (49.6-56.8) | |
| Covariates | |||||
| Age | years | 0 | 0 | 41 ± 18 | 39 (26-56) |
| Gender, male | 0 | 0 | 1762 (35.4) | ||
| BMI | kg/m2 | 0 | 0 | 23.1 ± 4.3 | 22.7 (20.1-25.5) |
| Hypertension (+) | 0 | 0 | 893 (17.9) | ||
| Diabetes (+) | 0 | 0 | 595 (12.0) | ||
| Hyperlipidemia (+) | 0 | 0 | 210 (4.2) | ||
| Smoking Status | 0 | 0 | |||
| No history | 4189 (84.2) | ||||
| Current | 705 (14.2) | ||||
| Former | 82 (1.6) | ||||
| Alcohol Status | 0 | 0 | |||
| No history | 4312 (86.7) | ||||
| Current | 629 (12.6) | ||||
| Former | 35 (0.7) | ||||
| Body temperature (+) | 0 | 0 | 912 (18.3) | ||
| Psychiatric duration | years | 0 | 0 | 9 ± 10 | 5 (1-12) |
Table 4 Explained variance (R2) of the composite index and outcome across diagnostic groups
| Composite index/outcome | Overall (ALL) | Schizophrenia (SCZ) | Bipolar disorder (BD) | Depression (MDD) |
| Lipid index | 0.207 | 0.231 | 0.251 | 0.171 |
| BP index | 0.186 | 0.209 | 0.275 | 0.134 |
| Inflammation index | 0.084 | 0.064 | 0.094 | 0.096 |
| Nutrition index | 0.291 | 0.286 | 0.295 | 0.265 |
| Coagulation substrate index | 0.265 | 0.234 | 0.27 | 0.303 |
| Coagulation time index | 0.048 | 0.019 | 0.101 | 0.113 |
| D-dimer (+) | 0.184 | 0.191 | 0.185 | 0.223 |
Table 5 Standardized direct, indirect, and total effects of glycemic markers on D-dimer (+) across diagnostic groups (structural equation modeling)
| Effect | Marker | Overall β (95%CI) | Std.β | SCZ β (95%CI) | SCZ Std.β | BD β (95%CI) | BD Std.β | MDD β (95%CI) | MDD Std.β |
| Direct | FPG | 0.044 (0.017 to 0.071) | 0.115 | 0.036 (-0.004 to 0.076) | 0.11 | 0.057 (-0.007 to 0.121) | 0.128 | 0.045 (-0.005 to 0.095) | 0.094 |
| Direct | FA | -0.640 (-0.879 to | -0.192 | -0.682 (-1.035 to | -0.235 | -0.665 (-1.257 to | -0.172 | -0.634 (-1.063 to | -0.162 |
| Direct | HbA1c | 0.037 (-0.059 to 0.134) | 0.035 | 0.026 (-0.126 to 0.179) | 0.03 | 0.069 (-0.160 to 0.298) | 0.059 | 0.085 (-0.090 to 0.259) | 0.059 |
| Indirect | FPG | -0.001 (-0.002 to | -0.004 | -0.001 (-0.002 to 0.000) | -0.003 | 0.000 (-0.003 to 0.003) | 0 | -0.001 (-0.003 to 0.002) | -0.001 |
| Indirect | FA | -0.012 (-0.021 to | -0.004 | -0.003 (-0.010 to 0.004) | -0.001 | -0.020 (-0.047 to 0.008) | -0.005 | -0.019 (-0.043 to 0.005) | -0.005 |
| Indirect | HbA1c | -0.002 (-0.004 to 0.001) | -0.002 | -0.000 (-0.003 to 0.002) | 0 | -0.008 (-0.019 to 0.003) | -0.007 | -0.016 (-0.028 to | -0.011 |
| Total | FPG | 0.043 (0.016-0.070) | 0.112 | 0.035 (-0.005 to 0.075) | 0.107 | 0.056 (-0.008 to 0.121) | 0.127 | 0.045 (-0.005 to 0.095) | 0.093 |
| Total | FA | -0.652 (-0.891 to | -0.196 | -0.685 (-1.037 to | -0.236 | -0.684 (-1.278 to | -0.178 | -0.653 (-1.081 to | -0.167 |
| Total | HbA1c | 0.035 (-0.061 to 0.133) | 0.033 | 0.026 (-0.126 to 0.178) | 0.029 | 0.061 (-0.169 to 0.291) | 0.052 | 0.069 (-0.104 to 0.242) | 0.048 |
Table 6 Stability of structural equation modeling structural pathways across diagnostic subgroups
| Path | ALL Std.β (95%CI) | SCZ Std.β (95%CI) | BD Std.β (95%CI) | MDD Std.β (95%CI) |
| FPG → Lipid index | -0.04 (-0.09 to 0.01) | -0.06 (-0.15 to 0.02) | -0.07 (-0.20 to 0.06) | 0.04 (-0.04 to 0.11) |
| FPG → BP index | 0.11 (0.06, 0.16) | 0.06 (-0.01 to 0.14) | 0.08 (-0.02 to 0.19) | 0.10 (0.02, 0.18) |
| FPG → Inflamm index | 0.08 (0.02, 0.15) | 0.14 (0.02, 0.26) | 0.02 (-0.08 to 0.11) | -0.01 (-0.11 to 0.07) |
| FPG → Nutrition index | -0.04 (-0.09 to 0.00) | -0.00 (-0.09 to 0.08) | -0.02 (-0.12 to 0.08) | -0.10 (-0.19 to 0.00) |
| FA → Lipid index | 0.23 (0.17, 0.27) | 0.30 (0.24, 0.38) | 0.17 (0.08, 0.26) | 0.18 (0.10, 0.26) |
| FA → BP index | 0.09 (0.05, 0.13) | 0.06 (-0.01 to 0.14) | 0.11 (0.03, 0.20) | 0.06 (-0.00 to 0.13) |
| FA → Inflamm index | -0.00 (-0.06 to 0.06) | -0.04 (-0.14 to 0.08) | -0.02 (-0.11 to 0.11) | 0.03 (-0.07 to 0.15) |
| FA → Nutrition index | -0.32 (-0.37 to -0.29) | -0.31 (-0.38 to -0.24) | -0.32 (-0.39 to -0.24) | -0.33 (-0.41 to -0.26) |
| HbA1c → Lipid index | 0.06 (0.01, 0.12) | -0.00 (-0.10 to 0.09) | 0.16 (0.03, 0.28) | 0.06 (-0.03 to 0.16) |
| HbA1c → BP index | -0.05 (-0.11 to 0.00) | -0.03 (-0.13 to 0.06) | -0.02 (-0.12 to 0.08) | -0.01 (-0.09 to 0.08) |
| HbA1c → Inflamm index | 0.04 (-0.01 to 0.10) | 0.00 (-0.10 to 0.13) | 0.11 (-0.02 to 0.24) | 0.19 (0.10, 0.29) |
| HbA1c → Nutrition index | 0.17 (0.11, 0.23) | 0.18 (0.08, 0.28) | 0.11 (0.00, 0.20) | 0.16 (0.02, 0.26) |
| Lipid → Coag (substrate) | 0.12 (0.08, 0.15) | 0.11 (0.05, 0.16) | 0.09 (0.03, 0.16) | 0.14 (0.08, 0.19) |
| BP → Coag (substrate) | 0.08 (0.05, 0.12) | 0.08 (0.03, 0.13) | 0.11 (0.03, 0.17) | 0.05 (-0.00 to 0.09) |
| Inflamm → Coag (substrate) | 0.42 (0.38, 0.46) | 0.40 (0.35, 0.45) | 0.41 (0.32, 0.51) | 0.45 (0.39, 0.50) |
| Nutrition → Coag (substrate) | -0.01 (-0.04 to 0.02) | 0.03 (-0.03 to 0.09) | -0.02 (-0.08 to 0.05) | -0.05 (-0.10 to 0.00) |
| Lipid → Coag (time) | 0.07 (0.03, 0.11) | 0.03 (-0.02 to 0.10) | 0.12 (0.03, 0.20) | 0.10 (0.05, 0.16) |
| BP → Coag (time) | 0.07 (0.04, 0.11) | 0.07 (0.03, 0.14) | 0.04 (-0.03 to 0.11) | 0.07 (0.02, 0.13) |
| Inflamm → Coag (time) | -0.02 (-0.06 to 0.01) | 0.01 (-0.03 to 0.04) | -0.07 (-0.15 to 0.00) | -0.06 (-0.14 to 0.03) |
| Nutrition → Coag (time) | -0.01 (-0.07 to 0.04) | 0.04 (-0.07 to 0.10) | -0.06 (-0.14 to 0.01) | -0.05 (-0.12 to 0.00) |
| FPG → D-dimer | 0.12 (0.04, 0.18) | 0.11 (-0.02 to 0.24) | 0.13 (-0.03 to 0.28) | 0.09 (0.00, 0.19) |
| FA → D-dimer | -0.19 (-0.27 to -0.13) | -0.24 (-0.38 to -0.12) | -0.17 (-0.33 to -0.02) | -0.16 (-0.28 to -0.06) |
| HbA1c → D-dimer | 0.03 (-0.04 to 0.11) | 0.03 (-0.10 to 0.17) | 0.06 (-0.11 to 0.21) | 0.06 (-0.05 to 0.16) |
| Lipid → D-dimer | 0.00 (-0.05 to 0.06) | 0.01 (-0.08 to 0.11) | -0.11 (-0.23 to 0.01) | 0.06 (-0.03 to 0.14) |
| BP → D-dimer | -0.03 (-0.08 to 0.02) | -0.07 (-0.14 to 0.01) | -0.04 (-0.18 to 0.10) | -0.02 (-0.11 to 0.05) |
| Inflamm → D-dimer | 0.16 (0.09, 0.26) | 0.16 (0.06, 0.29) | 0.21 (-0.02 to 0.38) | 0.11 (-0.03 to 0.35) |
| Nutrition → D-dimer | 0.08 (0.03, 0.13) | 0.06 (-0.03 to 0.15) | 0.16 (0.03, 0.27) | 0.07 (-0.01 to 0.16) |
| Coag (substrate) → D-dimer | -0.09 (-0.15 to -0.03) | -0.06 (-0.15 to 0.02) | -0.12 (-0.25 to 0.02) | -0.12 (-0.26 to -0.03) |
| Coag (time) → D-dimer | -0.02 (-0.07 to 0.03) | -0.05 (-0.15 to 0.05) | -0.05 (-0.15 to 0.06) | 0.05 (-0.02 to 0.14) |
Table 7 Model fit indices for the main structural equation modeling and sensitivity analyses1
| Model | NPAR | df | CFI | TLI | RMSEA | SRMR | RMSEA (CI) | NOBS |
| Main model | 119 | 6 | 0.990 | 0.966 | 0.041 | 0.001 | 0.041 (0.030-0.053) | 3783 |
| SCZ subgroup model | 119 | 6 | 0.988 | 0.960 | 0.037 | 0.001 | 0.037 (0.019-0.057) | 1511 |
| BD subgroup model | 119 | 6 | 0.983 | 0.941 | 0.049 | 0.004 | 0.049 (0.025-0.075) | 876 |
| MDD subgroup model | 119 | 6 | 0.989 | 0.962 | 0.053 | 0.003 | 0.053 (0.035-0.073) | 1396 |
| Sensitivity model | ||||||||
| Sensitivity partial mediation (direct-coag) model | 125 | 0 | 1 | 1 | 0 | 0 | 0.000 (0.000-0.000) | 3783 |
| Sensitivity full mediation model | 112 | 13 | 0.958 | 0.933 | 0.057 | 0.026 | 0.057 (0.050-0.065) | 3783 |
| Sensitivity log(D-dimer) outcome model | 120 | 6 | 0.949 | 0.821 | 0.044 | 0.141 | 0.044 (0.035-0.054) | 3783 |
| Sensitivity lipid (AIP) model | 119 | 6 | 0.987 | 0.955 | 0.045 | 0.001 | 0.045 (0.034-0.057) | 3783 |
| Sensitivity inflammation (Winsor) model | 119 | 6 | 0.987 | 0.956 | 0.040 | 0.001 | 0.040 (0.030-0.052) | 3783 |
| Sensitivity inflammation (SIRI) model | 119 | 6 | 0.973 | 0.907 | 0.049 | 0.002 | 0.049 (0.039-0.060) | 4284 |
| Sensitivity inflammation (extended) model | 119 | 6 | 0.986 | 0.952 | 0.042 | 0.001 | 0.042 (0.031-0.053) | 3783 |
| Sensitivity nutrition (CONUT) model | 119 | 6 | 0.991 | 0.969 | 0.038 | 0.001 | 0.038 (0.027-0.050) | 3783 |
| Sensitivity nutrition (PNI) model | 119 | 6 | 0.990 | 0.965 | 0.04 | 0.003 | 0.040 (0.030-0.052) | 3783 |
| Sensitivity coag (substrate) model | 101 | 3 | 0.993 | 0.966 | 0.042 | 0.001 | 0.042 (0.027-0.059) | 3783 |
| Sensitivity coag (time) model | 101 | 3 | 0.973 | 0.865 | 0.041 | 0.000 | 0.041 (0.026-0.058) | 3783 |
| Sensitivity coag (composite) model | 101 | 3 | 0.994 | 0.968 | 0.051 | 0.001 | 0.051 (0.037-0.068) | 3783 |
| Sensitivity covars (extended) model | 133 | 6 | 0.990 | 0.964 | 0.042 | 0.001 | 0.042 (0.031-0.054) | 3783 |
| Sensitivity single-sugar (FPG) model | 109 | 2 | 0.997 | 0.973 | 0.038 | 0.001 | 0.038 (0.020-0.059) | 3783 |
| Sensitivity single-sugar (FA) model | 109 | 2 | 0.985 | 0.839 | 0.089 | 0.002 | 0.089 (0.071-0.108) | 3783 |
| Sensitivity single-sugar (FA-ALBcorr) model | 109 | 2 | 0.981 | 0.801 | 0.105 | 0.003 | 0.105 (0.086-0.124) | 3783 |
| Sensitivity single-sugar (HbA1c) model | 109 | 2 | 0.995 | 0.946 | 0.076 | 0.002 | 0.076 (0.058-0.096) | 3783 |
| Sensitivity tri-sugar (FA-ALBcorr) model | 119 | 6 | 0.992 | 0.972 | 0.039 | 0.002 | 0.039 (0.028-0.051) | 3783 |
| Sensitivity gly-composite (FA) model | 109 | 2 | 0.985 | 0.842 | 0.089 | 0.002 | 0.089 (0.070-0.108) | 3783 |
| Sensitivity gly-composite (FA-ALBcorr) model | 109 | 2 | 0.984 | 0.832 | 0.094 | 0.002 | 0.094 (0.075-0.113) | 3783 |
- Citation: Wei J, Du HY, He Q, Jia SS, Luo FG, Wang YC. Glycemic indicators influence hypercoagulability via multisystem pathways in psychiatric inpatients: Structural equation modeling. World J Psychiatry 2026; 16(10): 121314
- URL: https://www.wjgnet.com/2220-3206/full/v16/i10/121314.htm
- DOI: https://dx.doi.org/10.5498/wjp.121314