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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%.