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. 2017 May 16;7:1953. doi: 10.1038/s41598-017-02030-6

Table 2.

Predictors for conducting neuroimaging (cCT/cMRI) using logistic regression analysis.

Univariate Multivariate
OR (95% CI) P-value OR (95% CI) P-value
Plasma sodium level 1.05 (0.98–1.13) 0.161
Gender (female) 2.15 (1.02–4.51) 0.042 2.49 (0.90–6.93) 0.079
Age 1.31 (1.04–1.064) 0.018 1.64 (1.18–2.28) 0.003
Neurological symptoms
  Weakness/Confusion 0.37 (0.17–0.81) 0.013 0.59 (0.21–1.69) 0.325
  Nausea/Vomiting 0.36 (0.15–0.83) 0.016 0.67 (0.22–2.05) 0.480
  Headache 4.14 (0.50–34.12) 0.187
  Vertigo 1.30 (0.50–3.38) 0.587
  Seizures 17.0 (2.2–129.40) 0.006 71.7 (7.33–700.6) <0.001
  Altered consciousness 4.80 (1.06–21.72) 0.042 6.71 (1.14–39.46) 0.035
  Focal neurological signs 17.43 (4.0–76.11) 0.001 32.95 (6.59–164.7) <0.001

Odds ratios (OR), 95% confidence intervals (CI), and p-values were calculated using logistic regression analysis (backward elimination). Variables were selected a priori based upon theoretical considerations and existing literature. Factors statistically significant at the 10% level in our univariate analysis were then included in our multivariate model. Two-sided p values < 0.05 were considered statistically significant in the multivariate model.