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Table 6 Logistic estimates for the binary logistic regression of bacterial infection associated with COVID-19

From: Evaluation of respiratory tract bacterial co-infections in SARS-CoV-2 patients with mild or asymptomatic infection in Lagos, Nigeria

 

Characteristics of patients

\({\beta }_{i}\)

\({SE}_{{\beta }_{i}}\)

Wald statistic (df)

p value

Odd ratio

95% C.I for OR

 

Lower

Upper

Staphylococcus aureus

Constant

1.243

0.757

     
 

Age

− 0.216

0.321

0.454(1)

0.500

0.806

0.430

1.511

 

Gender

− 0.015

0.412

0.001(1)

0.971

0.985

0.439

2.209

 

Severity

− 0.217

0.428

0.256(1)

0.613

0.805

0.348

1.864

Moraxella catarrhalis

Constant

0.578

0.964

     
 

Age

0.088

0.435

0.041(1)

0.840

1.091

0.466

2.559

 

Gender

0.923

0.517

3.182(1)

0.074

2.517

0.913

6.940

 

Severity

0.499

0.534

0.873(1)

0.350

1.647

0.578

4.687

Chlamydophila pneumoniae

Constant

− 0.334

0.819

     
 

Age

0.035

0.362

0.009(1)

0.924

1.035

0.509

2.105

 

Gender

0.507

0.442

1.313(1)

0.252

1.660

0.698

3.950

 

Severity

1.314

0.446

8.664(1)

0.003*

3.721

1.551

8.926

Mycoplasma pneumoniae

Constant

2.792

0.969

     
 

Age

− 0.310

0.384

0.649(1)

0.420

0.734

0.346

1.558

 

Gender

− 0.788

0.558

1.996(1)

0.158

0.455

0.152

1.357

 

Severity

− 0.101

0.530

0.036(1)

0.849

0.904

0.320

2.556

Haemophilus spp.

Constant

3.135

1.688

     
 

Age

0.176

0.675

0.068(1)

0.794

1.192

0.317

4.479

 

Gender

0.321

0.825

0.152(1)

0.697

1.379

0.274

6.949

 

Severity

− 1.270

1.132

1.258(1)

0.262

0.281

0.031

2.584

  1. \({\beta }_{i}\): estimated coefficients, \({SE}_{{\beta }_{i}}\): standard error of the estimated coefficients
  2. *Significant at 5% level