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Table 2 Results of multivariate analysis

From: Infarctions in the vascular territory of the posterior cerebral artery: clinical features in 232 patients

Variable β SE (β) Odds ratio
(95% CI)
P
value
PCA versus. MCA*     
Model based on demographic, vascular risk, clinical, and topographic data*     
Hemianopia 1.861 0.212 6.43 (4.25-9.74) 0.000
Lacunar infarction 0.780 0.219 2.18 (1.42-3.35) 0.000
Symptom-free at discharge 0.653 0.230 1.92 (1.22-3.02) 0.005
Limb weakness -2.322 0.176 0.10 (0.07-0.14) 0.000
Speech disorders (dysarthria) -1.102 0.175 0.33 (0.24-0.47) 0.000
Cardioembolic infarction -0.436 0.214 0.65 (0.43-0.98) 0.042
PCA versus ACA     
Model based on demographic, vascular risk, clinical, and topographic data     
Sensory symptoms 0.8610 0.363 2.36 (1.16-4.82) 0.018
Limb weakness -2.258 0.437 0.11 (0.04-0.25) 0.000
Cardioembolic stroke -0.856 0.352 0.43 (0.21-0.85) 0.015
  1. *β = -0.526; SE (β) = 0.203; goodness-of-fit χ2 = 0.016; df = 8; P = 0.016. Area under the ROC curve = 0.828; sensitivity 71.6%; specificity 80.4%; VPP 38.5%, VPN 94.3%, correct classification 79.1%.
  2. †β = 2,937; SE (β) = 0.429; goodness-of-fit χ2 = 9.751; df = 6; P = 0.136. Area under the ROC curve = 0.803; sensitivity 73.3%; specificity 64.7%; VPP 90.4%, VPN 34.7%, correct classification 71.7%.