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Table 4 Adjusted logistic mixed-effects models of predictive factors for 30-day mortality

From: Clinical outcomes of hospitalised patients with catheter-associated urinary tract infection in countries with a high rate of multidrug-resistance: the COMBACTE-MAGNET RESCUING study

 Model 1Model 2Model 3
All cohortAdmitted for UTIAdmitted for other condition
OR95% CIpOR95% CIpOR95% CIp
Fixed parts
 (Intercept)0.080.04–0.16< 0.0010.020.01–0.08< 0.0010.070.03–0.18< 0.001
 CA-UTI1.400.77–2.540.2691.620.63–4.150.3141.240.54–2.810.610
 Male gender0.530.31–0.900.0190.310.12–0.800.0160.770.40–1.510.450
 Age1.571.12–2.190.0091.690.93–3.050.0841.571.03–2.390.036
 Haematologic malignancy6.081.84–20.070.0032.330.19–29.450.51214.822.83–77.610.001
 Charlson score1.451.12–1.880.0051.280.83–1.960.2571.641.16–2.330.005
 Bedridden functional capacity2.481.39–4.430.0023.101.13–8.500.0282.000.94–4.280.073
 Acquisition in a medical care facility1.730.93–3.230.0851.580.63–3.950.3271.710.69–4.250.247
 Admission reason: other condition than UTI2.701.40–5.000.003      
Random effects
 τ000.370.960.24
 ICC0.10.230.09
 Observations807474333
 Marginal R2/Conditional R20.278/0.3500.210/0.3890.223/0.292
  1. UTI urinary tract infection, OR odds ratio, 95%CI 95% confidence interval, CA-UTI catheter-associated urinary tract infection, ICC intra-class correlation