Fig. 4From: Appraisal of systemic inflammation and diagnostic markers in a porcine model of VAP: secondary analysis from a study on novel preventive strategiesLung 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=āāā3.06 + (0.85 Ć tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā=ā6, Rā=ā0.85, R2ā=ā0.73, Adjusted Rsqrā=ā0.67, p value = 0.029. Regression equation EFB + PEEP group: [lung P. aeruginosa burden (log10 cfu/g)ā=āāā3.68ā+ā(0.94 Ć tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā=ā7, Rā=ā0.76, R2ā=ā0.57, Adjusted Rsqrā=ā0.49, p value = 0.048. Regression equation Trendelenburg group: [lung P. aeruginosa burden (log10 cfu/g)ā=āāā1.67 + (āā0.25 Ć tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā=ā7, Rā=ā0.37, R2ā=ā0.14, Adjusted Rsqrā=ā0.00, 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=āāā1.69ā+ā(0.64 Ć tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā=ā10, Rā=ā0.51, R2ā=ā0.26, Adjusted Rsqrā=ā0.17, p value = 0.130. Regression equation no VAP: [lung P. aeruginosa burden (log10 cfu/g)ā=ā0.41 + (0.007 Ć tracheal secretions P. aeruginosa burden (log10 cfu/mL)]. Nā=ā10, Rā=ā0.01, R2ā=ā0.00, Adjusted Rsqrā=ā0.00, p value = 0.980. EFB + PEEP expiratory flow bias and positive end expiratory pressure groupBack to article page