Skip to main content

Table 5 Fitted binary logistic regression of bacterial infection associated with COVID-19 severity

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

Model

Predictors

− 2LL(θ)

\({\chi }^{2}\)

PA (%)

\({R}_{N}^{2}\)

Staphylococcus aureus

Age, gender, severity of COVID-19 cases

157.540

4.265a

63.6

0.012

Moraxella catarrhalis

Age, gender, severity of COVID-19 cases

103.562

0.628a

83.5

0.068

Mycoplasma pneumoniae

Age, gender, severity of COVID-19 cases

116.656

1.912a

80.2

0.050

Haemophilus spp.

Age, gender, severity of COVID-19 cases

51.730

2.946a

94.2

0.040

  1. − 2LL(θ): log likelihood of the model; \({\upchi }^{2}\): Chi-square test statistic value; PA[%]: percentage accuracy in classification; \({R}_{N}^{2}\): Nagelkerke determination coefficient
  2. ap > 0.05, OR (odds ratio)