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Table 4 The models of predictors in the variability of RdRp gene of SARS-CoV-2 based on the logistic regression analysis

From: The RdRp genotyping of SARS-CoV-2 isolated from patients with different clinical spectrum of COVID-19

Model

Modeling to

Variable (reference variant)

LR

OR (95% Cl)

p-value

A

Female

Constant term

−1.003

0.367 (0.147–0.913)

0.031

Number of mutations

0.276

1.318 (1.013–1.715)

0.041

B

> 1 mutation

Constant term

−2.832

0.059 (0.015–0.232)

< 0.001

Spectrum of COVID-19

0.811

0.250 (1.129–4.486)

0.021

C

> 2 mutations

Constant term

−4.302

0.014 (0.002–0.104)

< 0.001

Spectrum of COVID-19

0.968

2.633 (1.451–4.778)

0.001

Age

0.037

2.633 (1.002–1.075)

0.041

D

Hospitalized

Constant term

−6.118

0.002 (0.000–0.049)

< 0.001

15279C > T

3.210

24.788 (3.906–157.302)

< 0.001

Age

0.105

1.111 (1.050–1.176)

< 0.001

E

> 48 years old

Constant term

−0.938

0.391 (0.181–0.846)

0,017

15240C > T

−1.259

0.284 (0.090–0.897)

0,032

15,096 T > C

2.154

8.615 (1.032–71.936)

0.047

Hospitalized

2.603

13.508 (4.423–41.254)

< 0,001

Spectrum of COVID-19

1.287

3.623 (2.009–6.534)

< 0,001

  1. The variables - number of mutations, specific mutation, age, gender, spectrum of COVID-19 (1st, 2nd, 3rd, 4th), hospitalized patients, outpatients) were used for the analysis. LR Estimate of the logistic regression parameter