Table 3

Multiple Logistic Regression Analysis With All Silent Cerebral Infarcts or Silent Multiple Cerebral Infarcts as the Dependent Variable in Hypertensive Subjectslegend

VariablesAll Cerebral Infarcts (n = 80)Multiple Cerebral Infarcts (n = 48)
Age (10-yr groups)2.9 (1.4–6.1)4.1 (1.5–9.0)
Male2.2 (0.80–6.6)3.2 (0.87–12)
24-h SBP (10 mm Hg)1.3 (0.98–1.8)1.6 (1.2–2.3)
2-h insulin AUC8.1 (1.3–50)3.1 (0.66–14)
vWF1.5 (0.32–7.0)5.7 (1.2–27)
PAI-12.7 (0.80–9.5)13 (3.5–51)
F1+21.3 (0.43–4.1)5.6 (1.6–20)
TAT1.5 (0.52–4.5)0.89 (0.28–2.9)
d-dimer7.1 (0.82–61)4.0 (0.97–16)
  • p < 0.001;

  • p < 0.01;

  • p < 0.05. The adjusted odds ratios (95% confidence intervals) for silent cerebral infarcts (0 = subjects with no infarct; 1 = subjects with one or more infarcts) or for silent multiple cerebral infarcts (0 = subjects with less than three infarcts; 1 = subjects with three or more infarcts) were calculated by using multiple logistic regression analysis. The analyses of 2-h insulin area under the curve (AUC), von Willebrand factor (vWF), plasmin activator inhibitor-1 (PAI-1), prothrombin fragment 1+2 (F1+2), thrombin–antithrombin complex (TAT) and d-dimer were based on the following coding: 0 = less than the geometric mean value ± 1 SD; 1 = greater than or equal to the geometric mean value ± 1 SD. The geometric mean values ± 1 SD were 291 pmol/liter per min for 2-h insulin AUC, 207% for vWF, 93 μg/liter for PAI-1, 2.4 nmol/liter for F1+2; 3.6 μg/liter for TAT and 497 μg/liter for d-dimer.

  • legend SBP = systolic blood pressure.