Table 2.
Primary analysis: Fibrosis-4 score, continuous | |||
Beta | 95% Confidence Interval | P value | |
Unadjusted | 0.03 | −0.01 – 0.12 | 0.48 |
Model 2 | 0.07 | −0.01 – 0.18 | 0.10 |
Model 3 | 0.04 | −0.04 – 0.12 | 0.36 |
Model 4 | 0.04 | −0.03 – 0.13 | 0.26 |
Secondary analysis: High Fibrosis-4 versus Low Fibrosis-4† | |||
Beta | 95% Confidence Interval | P value | |
Unadjusted | 0.03 | −0.46 – 0.39 | 0.88 |
Model 2 | 0.24 | −0.25 – 0.73 | 0.34 |
Model 3 | 0.07 | −0.36 – 0.50 | 0.75 |
Model 4 | 0.12 | −0.32 – 0.55 | 0.60 |
Multiple linear regression was used to model the association between the Fibrosis-4 score and absolute 96-hour perihematomal edema (PHE) growth, which was defined as: absolute difference between 96-hour PHE volume and admission PHE volume. Model 2 was adjusted for age, sex, and race. Model 3 was additionally adjusted for serum sodium, antiplatelet use, and admission hematoma volume. Model 4 was additionally adjusted for intracerebral hemorrhage location (lobar versus deep versus infratentorial). PHE growth was log transformed.
Patients with a high Fibrosis-4 score (>3.25) were compared to patients with a low Fibrosis-4 score (<1.45).