Table 2.
Subset analysis of extra-axial haemorrhage group. Multivariable polynomial regression of CNN derived lesion volumes to biomarker levels.
| Lesion Type (n) | Biomarker | Coefficient (SE) | 95% Confidence Interval | P-value |
|---|---|---|---|---|
| Acute SDH (n=132) | GFAP | -0.15 (0.13) | -0.42, 0.11 | 0.253 |
| NFL | -0.27 (0.22) | -0.71, 0.16 | 0.214 | |
| NSE | -0.68 (0.37) | -1.41, 0.05 | 0.067 | |
| S100B | -1.87 (3.27) | -8.34, 4.6 | 0.569 | |
| t-tau | -2.85 (2.87) | -8.53, 2.82 | 0.322 | |
| UCH-L1 | -0.16 (0.19) | -0.52, 0.21 | 0.400 | |
| tSAH (n=406) | GFAP | 0.12 (2.39) | -4.57, 4.81 | 0.960 |
| NFL | 0.14 (0.1) | -0.05, 0.33 | 0.144 | |
| NSE | 0.19 (0.19) | -0.18, 0.55 | 0.319 | |
| S100B | 0.19 (0.13) | -0.06, 0.44 | 0.133 | |
| t-tau | 0.21 (0.09) | 0.03, 0.38 | 0.019* | |
| UCH-L1 | 2.46 (2.46) | -2.37, 7.29 | 0.317 | |
| EDH (n=54) | GFAP | -2.01 (2.34) | -6.74, 2.72 | 0.395 |
| NFL | -0.47 (2.33) | -5.18, 4.24 | 0.841 | |
| NSE | -0.01 (0.75) | -1.52, 1.51 | 0.991 | |
| S100B | -5.78 (2.5) | -10.83, -0.72 | 0.026* | |
| t-tau | -0.34 (0.4) | -1.14, 0.47 | 0.402 | |
| UCH-L1 | -1.07 (2.19) | -5.49, 3.35 | 0.626 |
Results of multivariable polynomial regression of the natural log of extra-axial lesion, as separated by isolated extra-axial lesion type, volume to biomarker level. Adjustment for time to biomarker, time to scan, age, sex, Glasgow Coma Score (GCS), extracranial abbreviated injury score, volume of IVH, volume of IPH, volume of post traumatic oedema and total brain volume with polynomial terms of non-linear variables. *** p<0·001, ** p<0·01, * p<0·05.