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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