Skip to main content

Advertisement

Table 4 Linear regression models for the incidence density of combined-resistant and carbapenem-resistant P. aeruginosa strains

From: Intensive care antibiotic consumption and resistance patterns: a cross-correlation analysis

Model Multiple R2  (Adj R2) Model
p value
Coefficients estimate ± StdErr Coefficients
p value
AIC change
p value
1. PsaCR = f(penicillins)
  1.1 PsaCR ~ penicillins 0.766 (0.727) 0.004 Penicillins = 0.040 ± 0.009 0.004  
  1.2 PsaCR ~ penicillins + Penlag-1 0.848 (0.773) 0.023 Penicillins = 0.046 ± 0.01
Penlag-1 = 0.012 ± 0.009
0.012 0.0495
0.255
  1.3 PsaCR ~ penicillins + PsaCRlag-1 0.920 (0.880) 0.006 Penicillins = 0.046 ± 0.01
PsaCRlag-1 = 0.451 ± 0.171
0.004 0.0039
0.058
M 1.4 PsaCR ~ penicillins + PsaCRLlag-1 + Penlag-1 0.953 (0.906) 0.017 Penicillins = 0.047
PsaCRlag-1 = 0.913 ± 0.354
Penlag-1 = − 0.0196 ± 0.013
0.006 0.0066
0.082
0.243
2. PsaCR = f(piperacillin + tazobactam)
M 2.1 PsaCR ~ PipTazo 0.730 (0.686) 0.007 PipTazo = 0.061 ± 0.015 0.007  
  2.2 PsaCR ~ PipTazo + PipTazolag-1 0.743 (0.614) 0.066 PipTazo = 0.063 ± 0.024
PipTazolag-1 = − 0.011 ± 0.037
0.060 0.256
0.783
  2.3 PsaCR ~ PipTazo + PsaCRlag-1 0.776 (0.664) 0.050 PipTazo = 0.070 ± 0.021
PsaCRlag-1 = − 0.32 ± 0.383
0.031 0.132
0.451
  2.4 PsaCR ~ PipTazo + PsaCRlag-1 + PipTazolag-1 0.777 (0.555) 0.166 PipTazo = 0.069 ± 0.027
PsaCRlag-1 = − 0.352 ± 0.517
PipTazolag-1 = 0.006 ± 0.047
0.087 0.862
0.545
0.911
3. PsaCARB = f(carbapenems)
M 3.1 PsaCARB ~ carbapenems 0.861 (0.838) < 0.001 Carbapenems = 0.046 ± 0.008 < 0.001  
  3.2 PsaCARB ~ carbapenems + Carblag-1 0.899 (0.848) 0.010 Carbapenems = 0.046 ± 0.008
Carblag-1 = 0.013 ± 0.01
0.005 0.256
0.266
  3.3 PsaCARB ~ carbapenems + PsaCARBlag-1 0.893 (0.839) 0.012 Carbapenems = 0.046 ± 0.009
PsaCARBlag-1 = 0.242 ± 0.208
0.006 0.203
0.310
  3.4 PsaCARB ~ carbapenems + PsaCARBlag-1 + Carblag-1 0.899 (0.798) 0.053 Carbapenems = 0.046 ± 0.009
PsaCARBlag-1 = 0.051 ± 0.495
Carblag-1 = 0.010 ± 0.024
0.018 0.975
0.925
0.692
4. PsaCARB = f(meropenem)
  4.1 PsaCARB ~ meropenem 0.733 (0.689) 0.0076 Meropenem = 0.046 ± 0.011 0.007  
  4.2 PsaCARB ~ meropenem + Merolag-1 0.794 (0.691) 0.043 Meropenem = 0.039 ± 0.016
Merolag-1 = 0.020 ± 0.018
0.071 0.130
0.330
  4.3 PsaCARB ~ meropenem + PsaCARBlag-1 0.738 (0.607) 0.069 Meropenem = 0.052 ± 0.017
PsaCARBlag-1 = − 0.117 ± 0.37
0.037 0.435
0.765
M 4.3 PsaCARB ~ meropenem + PsaCARBlag-1 + Merolag-1 0.921 (0.842) 0.037 Meropenem = 0.041 ± 0.011
PsaCARBlag-1 = − 0.709 ± 0.32
Merolag-1 = 0.047 ± 0.018
0.038 0.030
0.116
0.078
  1. M—best model, selected based on the overall statistical significance, multiple R2 (Adjusted R2), and Akaike information criterion. For each outcome incidence density model, the first *.1 is the initial model to which additional variables were subsequently added; the Chi square test was applied to check the statistical significance in the Akaike information criterion (AIC) change, compared to the initial model
  2. Carbapenems: carbapenems consumption during the current quarter; Carblag-1: carbapenems consumption during the previous quarter; Merolag-1: meropenem consumption during the previous quarter; Meropenem: meropenem consumption during the current quarter; Penicillins: penicillins consumption during the current quarter; Penlag-1: penicillins consumption during the previous quarter; PipTazo: piperacillin + tazobactam consumption during the current quarter; PipTazolag-1: piperacillin + tazobactam consumption during the previous quarter; PsaCARB: incidence density of carbapenem-resistant P. aeruginosa strains during the current quarter; PsaCARBlag-1: incidence density of carbapenem-resistant P. aeruginosa strains during the previous quarter; PsaCR: incidence density of combined-resistant P. aeruginosa strains during the current quarter; PsaCRlag-1: incidence density of combined-resistant P. aeruginosa strains during the previous quarter