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. 2022 Jun 17;14:857521. doi: 10.3389/fnagi.2022.857521

Table 4.

The univariate and multivariate analysis during fitting logistic regression model.

Variable OR (95%CI) P-value Variable aOR (95%CI) P-value
CHD 3.82 (1.18–13.25) 0.025 NA NA NA
WFNS 2.07 (1.65–2.63) <0.001 WFNS 1.53 (1.11–2.12) 0.009*
HH 1.97 (1.53–2.58) <0.001 NA NA NA
MFS 1.57 (1.24–2.02) <0.001 MFS 0.76 (0.53–1.08) 0.137
Treatment 0.42 (0.24–0.71) 0.001 Treatment 0.41 (0.21–0.77) 0.007*
DC 12.93 (4.03–57.6) <0.001 DC 4.54 (1.01–25.13) 0.059
ClotCT 1.17 (1.12–1.23) <0.001 ClotCT 1.11 (1.05–1.17) <0.001*
WBC 1.29 (1.19–1.39) <0.001 WBC 1.58 (1.11–2.33) 0.018*
NC 1.25 (1.16–1.36) <0.001 NC 0.74 (0.5–1.07) 0.141
MC 8.44 (3.48–21.59) <0.001 NA NA NA
D-dimer 1.07 (1.02–1.15) 0.016 NA NA NA

CHD, Coronary heart disease; WFNS, World Federation of Neurosurgical Surgeons; HH, Hunt and Hess grade; MFS, modified Fisher scale; DC, Decompressive craniectomy; WBC, White blood cell; NC, Neutrophil; MC, Monocytes. aOR, adjusted odds ratio.

*

indicates statistical significance (p < 0.05) by multivariate logistic regression.