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. 2020 Jul 18;5(9):1416–1421. doi: 10.1016/j.ekir.2020.07.010

Table 3.

The logistic regression model for SARS-CoV-2 infection in hemodialysis patients

Variable Frequency,
%
Univariable model
Multivariable modela
Odds ratio 95% CI P Odds ratio 95% CI P
Province: Hubei 63.5 1.27 0.70–2.31 0.44 1.59 0.80–3.16 0.18
Sex: female 43.4 0.91 0.52–1.60 0.74 0.91 0.51–1.63 0.76
Age: >65 yr 34.2 2.42 1.38–4.24 0.002 2.17 1.22–3.87 0.009
Respiratory symptom: yes 1.5 2.86 0.65–12.5 0.16 2.46 0.50–12.1 0.27
CT sign of lung infection: yes 20.8 3.58 2.04–6.30 9×10–6 2.96 1.65–5.33 0.0003
Lymphocyte count: <1 × 109/l 42.8 1.65 0.94–2.90 0.08 1.47 0.82–2.63 0.19
CRP: >10 mg/l 10.1 1.70 0.78–3.68 0.18 1.05 0.45–2.45 0.91
Hemoglobin: <90 g/l 21.1 0.79 0.38–1.64 0.53 0.46 0.21–1.03 0.058
Serum albumin: <35 g/l 8.2 3.29 1.64–6.58 0.0008 3.37 1.53–7.40 0.002
Comorbidity: yes 76.2 0.74 0.40–1.37 0.34 0.76 0.40–1.45 0.40

CI, confidence interval; CRP, C-reactive protein; CT, computed tomography; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

a

The multivariable logistic regression model included all the variables listed in the table as the independent variables.