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Table 5 Logistic regression estimates of patients by their characteristics

From: Analysis of 394 COVID-19 cases infected with Omicron variant in Shenzhen: impact of underlying diseases to patient’s symptoms

N = 392, Mild = 303; Moderate = 89

 

Odds ratio

OR (95% CI)

AIC

BIC

Pearson chi2

Age

1.011

0.996

1.026

400.663

− 1896.388

394.000

Male

Ref.

   

Female

1.109

0.667

1.845

   

Number_of_vaccinations

1.333

0.847

2.097

   

IgM

1.014

0.979

1.051

   

IgG

0.997b

0.994

0.999

   

Time_internal [1]

1.004a

1.000

1.007

   

No underlying diseases

Ref.

   

With underlying disease

4.633c

2.251

9.537

   

No vaccination

Ref.

   

Vaccine category (inactivated virus)

0.554

0.172

1.785

   

Vaccine category (mRNA)

0.460

0.123

1.727

   

Vaccine category (others)

0.889

0.166

4.751

   
  1. [1] The interval between the last blood collection and the date of admission in hospital
  2. OR Odd ratio; CI Confidence interval
  3. ap < 0.05
  4. bp < 0.01
  5. cp < 0.001