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. 2021 Sep 2;6(9):2526–2531. doi: 10.1016/j.ekir.2021.07.022

Table 3.

Logistic regression model for SARS-CoV-2 infection in hemodialysis patients.

Variable Frequency, % Univariable model
Multivariable modela
OR 95% CI P OR 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 43.3 0.91 0.52-1.61 0.76 0.92 0.52-1.65 0.79
Age: >65 yrs 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 9x10-6 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 0.45-2.46 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 3.36 1.53-7.39 0.003
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; OR, odds ratio; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

a

Multivariable logistic regression model included all variables listed in table as independent variables.