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Table 3 Multivariate analyses of the predictors for mortality during treatment including combination therapy, carbapenems or colistin use, and polymicrobial pneumonia

From: Tigecycline-based versus sulbactam-based treatment for pneumonia involving multidrug-resistant Acinetobacter calcoaceticus-Acinetobacter baumannii complex

Variables Odds ratio 95 % confidence interval p
Model Aa
 With skin and soft tissue infection 2.041 0.644–6.466 0.225
 MDR Acb complex with TG or SB resistance 0.418 0.160–1.092 0.075
 Bilateral pneumonia 2.663 0.987–7.186 0.053
 Tigecycline-based treatment 1.405 0.608–3.245 0.426
 Combination therapy 1.133 0.472–2.720 0.779
Model Bb
 With skin and soft tissue infection 2.071 0.657–6.523 0.214
 MDR Acb complex with TG or SB resistance 0.426 0.163–1.114 0.082
 Bilateral pneumonia 2.717 1.007–7.329 0.048
 Tigecycline-based treatment 1.373 0.497–3.795 0.541
 Combination with carbapenem 1.002 0.346–2.905 0.997
Model Cc
 With skin and soft tissue infection 2.002 0.624–6.425 0.243
 MDR Acb complex with TG or SB resistance 0.420 0.161–1.090 0.075
 Bilateral pneumonia 2.795 1.028–7.600 0.044
 Tigecycline-based treatment 1.430 0.608–3.363 0.413
 Combination with colistin 0.783 0.178–3.444 0.746
Model D
 With skin and soft tissue infection 2.035 0.639–6.485 0.230
 MDR Acb complex with TG or SB resistance 0.428 0.165–1.111 0.081
 Bilateral pneumonia 2.711 1.013–7.254 0.047
 Tigecycline-based treatment 1.362 0.598–3.102 0.462
 Polymicrobial pneumonia 1.109 0.426–2.884 0.833
Model E
 With skin and soft tissue infection 1.979 0.612–6.405 0.254
 MDR Acb complex with TG or SB resistance 0.422 0.160–1.110 0.080
 Bilateral pneumonia 2.781 1.014–7.624 0.047
 Tigecycline-based treatment 1.422 0.498–4.056 0.510
 Polymicrobial pneumonia 1.086 0.413–2.853 0.868
 Combination with colistin 0.797 0.179–3.557 0.767
 Combination with carbapenem 1.006 0.346–2.921 0.991
  1. Abbreviations: MDR Acb multidrug resistant Acinetobacter calcoaceticus-Acinetobacter baumannii, TG tigecycline, SB sulbactam
  2. aNo significant predictor was revealed when model A included polymicrobial pneumonia
  3. bBilateral pneumonia was the only significant predictor when model B included polymicrobial pneumonia (p = 0.049, adjusted odds ratio, 2.709; 95 % confidential interval, 1.004–7.305)
  4. cBilateral pneumonia was the only significant predictor when model C included polymicrobial pneumonia (p = 0.045, adjusted odds ratio, 2.783; 95 % confidential interval, 1.023–7.569)