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. 2020 Feb 7;20:47. doi: 10.1186/s12883-020-1615-9

Table 5.

Stratified logistic regression analysis to identify variables that modify the correlation between Non-HDL-C and haemorrhagic transformation

OR (95%CI), P-valuea P for interactiona
Age
 < 60 0.64 (0.47–0.87), P < 0.001 0.021
 ≥ 60 0.95 (0.81–1.12), 0.523
Sex
 Male 0.78 (0.64–0.96) 0.021 0.188
 Female 0.95 (0.78–1.15) 0.586
Baseline NIHSS score
 < 15 0.90 (0.76–1.06) 0.217 0.363
 ≥ 15 0.78 (0.59–1.02) 0.069
Atrial Fibrillation
 No 0.82 (0.69–0.96) 0.016 0.151
 Yes 1.05 (0.78–1.40) 0.760
Smoking
 No 0.89 (0.74–1.06) 0.190 0.655
 Yes 0.83 (0.66–1.04) 0.109
Alcohol consumption
 No 0.91 (0.78–1.07) 0.261 0.160
 Yes 0.71 (0.53–0.97) 0.032
SBP
 < 140 0.91 (0.74–1.11) 0.338 0.404
 ≥ 140 0.80 (0.66–0.98) 0.031
Reperfusion therapy (Thrombolysis/Thrombectomy)
 No 0.86 (0.74–1.01) 0.070 0.944
 Yes 0.88 (0.62–1.24) 0.452
Stroke subtype
 Non-cardioembolic 0.79 (0.66–0.95) 0.013 0.134
 Cardioembolic 0.99 (0.79–1.25) 0.953

aAbove model adjusted for age, sex, National Institutes of Health Stroke Scale scores on admission, atrial fibrillation, smoking, alcohol consumption, systolic blood pressure, thrombolysis, thrombectomy and Stroke subtype. In each case, the model is not adjusted for the stratification variable