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Fig. 4 | Intensive Care Medicine Experimental

Fig. 4

From: Appraisal of systemic inflammation and diagnostic markers in a porcine model of VAP: secondary analysis from a study on novel preventive strategies

Fig. 4

Lung P. aeruginosa burden as a function of tracheal secretions P. aeruginosa burden. a The linear regression equation was fitted to predict lung P. aeruginosa burden by tracheal secretions P. aeruginosa burden (log10 cfu/mL) and clustered by study groups. Regression equation control group: [lung P. aeruginosa burden (log10 cfu/g)ā€‰=ā€‰āˆ’ā€‰3.06 + (0.85 Ɨ tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā€‰=ā€‰6, Rā€‰=ā€‰0.85, R2ā€‰=ā€‰0.73, Adjusted Rsqrā€‰=ā€‰0.67, p value = 0.029. Regression equation EFB + PEEP group: [lung P. aeruginosa burden (log10 cfu/g)ā€‰=ā€‰āˆ’ā€‰3.68ā€‰+ā€‰(0.94 Ɨ tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā€‰=ā€‰7, Rā€‰=ā€‰0.76, R2ā€‰=ā€‰0.57, Adjusted Rsqrā€‰=ā€‰0.49, p value = 0.048. Regression equation Trendelenburg group: [lung P. aeruginosa burden (log10 cfu/g)ā€‰=ā€‰āˆ’ā€‰1.67 + (āˆ’ā€‰0.25 Ɨ tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā€‰=ā€‰7, Rā€‰=ā€‰0.37, R2ā€‰=ā€‰0.14, Adjusted Rsqrā€‰=ā€‰0.00, pĀ value = 0.411. b The linear regression equation was fitted to predict lung P. aeruginosa burden by tracheal secretions P. aeruginosa burden (log10 cfu/mL) and clustered by development of ventilator-associated pneumonia (VAP). Regression equation VAP: [lung P. aeruginosa burden (log10 cfu/g)ā€‰=ā€‰āˆ’ā€‰1.69ā€‰+ā€‰(0.64 Ɨ tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā€‰=ā€‰10, Rā€‰=ā€‰0.51, R2ā€‰=ā€‰0.26, Adjusted Rsqrā€‰=ā€‰0.17, p value = 0.130. Regression equation no VAP: [lung P. aeruginosa burden (log10 cfu/g)ā€‰=ā€‰0.41 + (0.007 Ɨ tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā€‰=ā€‰10, Rā€‰=ā€‰0.01, R2ā€‰=ā€‰0.00, Adjusted Rsqrā€‰=ā€‰0.00, p value = 0.980. EFB + PEEP expiratory flow bias and positive end expiratory pressure group

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