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. 2020 Dec 12;11(1):e01855. doi: 10.1002/brb3.1855

Table 3.

Binary logistic model to explore the risk factors of HT in stroke patients

Model 1 Model 2 Model 3
OR (95% CI) p‐Value OR (95% CI) p‐Value OR (95% CI) p‐Value
High FAR 3.022 (2.109–4.331) <.001*** 2.933 (1.784–4.823) <.001*** 5.027 (2.309–10.942) <.001***
Atrial fibrillation 3.331 (1.794–6.186) <.001*** 2.707 (1.127–6.504) .026*
Baseline NIHSS 1.383 (1.293–1.479) <.001*** 1.363 (1.243–1.494) <.001***
Large size of the infarction area, n (%) 12.462 (4.803–32.330) <.001*** 7.304 (2.151–24.804) .001**
Antiplatelet <.001***

Model 1: adjusted for age, gender. Model 2: adjusted for covariates from Model 1 and further adjusted for identified risk factors for HT (diabetes mellitus, systolic blood pressure, baseline NIHSS score, atrial fibrillation, current smoking, and current alcohol drinking, large size of the infarction area). Model 3: adjusted for covariates from Model 2 and further adjusted for BMI, baseline leukocyte counts, LDL‐C, the therapy of anticoagulant, antiplatelet and lipid‐lowering. FAR, fibrinogen‐to‐albumin ratio; HT, hemorrhagic transformation; OR, odd ratio; CI, confidence interval; NIHSS, National Institutes of Health Stroke Scale; LDL‐C, low‐density lipoprotein‐cholesterol;

*

p < .05;

**

p < .01;

***

p < .001.