In the logistic regression model that adjusted for the confounders of age, sex, vascular risk factors (hypertension, diabetes mellitus, current smoking, alcohol consumption), hunt and hess grade (III–V vs. I–II), modified fisher scale (III–IV vs. I–II), and WFNS score on admission, as well as laboratory data (WBC, CRP, and IL-6), the highest tertile of SAA could independently predict poor outcome prevalence (model 1B: OR = 2.362, 95% CI = 1.139–4.896, P = 0.021; model 2C: OR = 2.259, 95% CI = 1.070–4.770, P < 0.001; model 3D: OR = 2.247, 95% CI =1.095–4.604, P = 0.021). Here, CRP is linked to diabetes mellitus.