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Table 2 Independent factors associated with diabetes in patients with ischemic stroke.

From: Cerebral infarction in diabetes: Clinical pattern, stroke subtypes, and predictors of in-hospital mortality

Logistic regression models

β

SE (β)

Odds ratio (95% CI)

Demographic, and vascular risk factors *

   

   Ischemic heart disease

0.386

0.152

1.47 (1.09–1.98)

   Hyperlipidemia

0.354

0.141

1.42 (1.08–1.88)

   85 years old or more

-0.351

0.169

0.70 (0.50–0.98)

Demographic, vascular risk factors, clinical variables and ischemic stroke subtypes

   

   Atherothrombotic infarct

1.910

0.250

6.75 (4.14–11.02)

   Lacunar infarct

1.900

0.254

6.68 (4.07–10.99)

   Subacute onset (days)

0.590

0.213

1.80 (1.19–2.74)

   85 years old or more

-0.391

0.172

0.68 (0.48–0.95)

Demographic, vascular risk factors, clinical variables and neuroimaging data

   

   Atherothrombotic

1.929

0.250

6.88 (4.21–11.24)

   Lacunar infarct

1.848

0.255

6.35 (3.85–10.46)

   Subacute onset (days)

0.601

0.213

1.82 (1.20–2.77)

   Thalamic topography

0.557

0.204

1.74 (1.17–2.61)

   85 years old or more

-0.381

0.172

0.683 (0.49–0.96)

  1. * β = -1.381, SE (β) = 0.074, goodness of fit χ2 = 0.434, df = 3, P = 0.933. Area under the ROC curve = 0.563, sensitivity 28%, specificity 81%, correctly classified 67%.
  2. β = -2.802, SE (β) = 0.235, goodness of fit χ2 = 2.133, df = 4, P = 0.711. Area under the ROC curve = 0.663, sensitivity 29%, specificity 88%, correctly classified 55%.
  3. β = -2.847, SE (β) = 0.236, goodness of fit χ2 = 3.151, df = 5, P = 0.677. Area under the ROC curve = 0.671, sensitivity 30%, specificity 50%, correctly classified 42%.