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Table 2 Host and viral characteristics (mutations) selected for predicting severity of influenza A(H3N2) infection among patients hospitalized for severe acute respiratory infection (SARI) (n = 160), Belgium, Influenza season 2016–2017

From: Evaluation of the added value of viral genomic information for predicting severity of influenza infection

 

Host model

(AIC = 168.6)

Combined model

(AIC = 162.6)

Variablea

Odds ratiob

95% CIb

Odds ratiob

95% CIb

Chronic respiratory condition

2.16

[0.93, 4.95]

2.76

[1.13, 6.76]

Chronic cardiovascular condition

2.05

[0.91, 4.64]

1.96

[0.83, 4.64]

Renal insufficiency

1.94

[0.78, 4.64]

1.75

[0.68, 4.40]

Immunocompromised condition

3.00

[1.09, 8.19]

3.35

[1.16, 9.76]

PA T135C

–

–

0.12

[0.01, 0.69]

PA A1475G

–

–

2.55

[0.49, 13.00]

NS A323C

–

–

3.32

[0.91, 11.91]

  1. aThe variables were selected by penalized elastic net regression and fitted as predictors in a logistic regression model
  2. bThe mean adjusted odds ratio’s and accompanying 95% confidence intervals (CI) are based on the results of the logistic regression model