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. 2018 Mar 20;131(6):657–664. doi: 10.4103/0366-6999.226886

Table 4.

Predictors of Δ ICH in multivariable binary logistic regression analysis

Parameters Model 1 Model 2 Model 3 Model 4




aOR (95% CI) P aOR (95% CI) P aOR (95% CI) P aOR (95% CI) P
Female 0.51 (0.18–1.42) 0.196 0.47 (0.17–1.28) 0.138 0.46 (0.17–1.28) 0.136 0.45 (0.16–1.25) 0.126
Initial hematoma volume 1.13 (1.06–1.21) <0.001 1.13 (1.06–1.20) <0.001 1.12 (1.06–1.20) <0.001 1.15 (1.07–1.24) <0.001
Hypertension 3.67 (1.31–10.35) 0.014 3.78 (1.34–10.64) 0.012 3.78 (1.34–10.65) 0.012 5.42 (1.73–16.96) 0.004
LDL cholesterol 0.58 (0.30–1.05) 0.069 0.57 (0.31–1.06) 0.073 0.57 (0.31–1.06) 0.073 0.61 (0.32–1.16) 0.128
BP
 Mean 1.03 (0.97–1.09) 0.419 1.02 (0.96–1.08) 0.548 1.02 (0.97–1.08) 0.498 1.00 (0.95–1.06) 0.933
 Range 1.00 (0.97–1.02) 0.740
 SD 1.02 (0.91–1.13) 0.758
 CoV 1.03 (0.89–1.19) 0.737
 MAC 1.11 (1.02–1.21) 0.012

Covariates were adjusted for female, initial hematoma volume, hypertension, LDL cholesterol, mean BP, and range (model 1), SD (model 2), CoV (model 3) or MAC (model 4). aOR: Adjusted odds ratio; CI: Confidence interval; LDL: Low-density lipoprotein; SD: Standard deviation; CoV: Coefficient of variation; MAC: Mean absolute change; BP: Blood pressure; Δ ICH: Hematoma growth; –: Value of 1.0 (correlation).