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

Baditoiu, Luminita; Axente, Carmen; Lungeanu, Diana; Muntean, Delia; Horhat, Florin; Moldovan, Roxana; Hogea, Elena; Bedreag, Ovidiu; Sandesc, Dorel; Licker, Monica

doi:10.1186/s12941-017-0251-8

Annals of Clinical Microbiology and Antimicrobials

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
	1.2	PsaCR ~ penicillins + Penlag-1	0.848 (0.773)	0.023	Penicillins = 0.046 ± 0.01 Penlag-1 = 0.012 ± 0.009	0.255	0.0495
	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
	1.3	PsaCR ~ penicillins + PsaCRlag-1	0.920 (0.880)	0.006	Penicillins = 0.046 ± 0.01 PsaCRlag-1 = 0.451 ± 0.171	0.058	0.0039
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
	2.2	PsaCR ~ PipTazo + PipTazolag-1	0.743 (0.614)	0.066	PipTazo = 0.063 ± 0.024 PipTazolag-1 = − 0.011 ± 0.037	0.783	0.256
	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
	2.3	PsaCR ~ PipTazo + PsaCRlag-1	0.776 (0.664)	0.050	PipTazo = 0.070 ± 0.021 PsaCRlag-1 = − 0.32 ± 0.383	0.451	0.132
	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
	3.2	PsaCARB ~ carbapenems + Carblag-1	0.899 (0.848)	0.010	Carbapenems = 0.046 ± 0.008 Carblag-1 = 0.013 ± 0.01	0.266	0.256
	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
	3.3	PsaCARB ~ carbapenems + PsaCARBlag-1	0.893 (0.839)	0.012	Carbapenems = 0.046 ± 0.009 PsaCARBlag-1 = 0.242 ± 0.208	0.310	0.203
	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
	4.2	PsaCARB ~ meropenem + Merolag-1	0.794 (0.691)	0.043	Meropenem = 0.039 ± 0.016 Merolag-1 = 0.020 ± 0.018	0.330	0.130
	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
	4.3	PsaCARB ~ meropenem + PsaCARBlag-1	0.738 (0.607)	0.069	Meropenem = 0.052 ± 0.017 PsaCARBlag-1 = − 0.117 ± 0.37	0.765	0.435
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

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
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

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ISSN: 1476-0711

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