BACKGROUND: We tested the hypothesis that the pressure-time (P-t) curve during constant flow ventilation can be used to set a noninjurious ventilatory strategy. METHODS: In an isolated, nonperfused, lavaged model of acute lung injury, tidal volume and positive end-expiratory pressure were set to obtain: (1) a straight P-t curve (constant compliance, minimal stress); (2) a downward concavity in the P-t curve (increasing compliance, low volume stress); and (3) an upward concavity in the P-t curve (decreasing compliance, high volume stress). The P-t curve was fitted to: P = a. tb +c, where b describes the shape of the curve, b = 1 describes a straight P-t curve, b < 1 describes a downward concavity, and b > 1 describes an upward concavity. After 3 h, lungs were analyzed for histologic evidence of pulmonary damage and lavage concentration of inflammatory mediators. Ventilator-induced lung injury occurred when injury score and cytokine concentrations in the ventilated lungs were higher than those in 10 isolated lavaged rats kept statically inflated for 3 h with an airway pressure of 4 cm H2O. RESULTS: The threshold value for coefficient b that discriminated best between lungs with and without histologic and inflammatory evidence of ventilator-induced lung injury (receiver-operating characteristic curve) ranged between 0.90-1.10. For such threshold values, the sensitivity of coefficient b to identify noninjurious ventilatory strategy was 1.00. A significant relation (P < 0.001) between values of coefficient b and injury score, interleukin-6, and macrophage inflammatory protein-2 was found. CONCLUSIONS: The predictive power of coefficient b to predict noninjurious ventilatory strategy in a model of acute lung injury is high.
BACKGROUND: We tested the hypothesis that the pressure-time (P-t) curve during constant flow ventilation can be used to set a noninjurious ventilatory strategy. METHODS: In an isolated, nonperfused, lavaged model of acute lung injury, tidal volume and positive end-expiratory pressure were set to obtain: (1) a straight P-t curve (constant compliance, minimal stress); (2) a downward concavity in the P-t curve (increasing compliance, low volume stress); and (3) an upward concavity in the P-t curve (decreasing compliance, high volume stress). The P-t curve was fitted to: P = a. tb +c, where b describes the shape of the curve, b = 1 describes a straight P-t curve, b < 1 describes a downward concavity, and b > 1 describes an upward concavity. After 3 h, lungs were analyzed for histologic evidence of pulmonary damage and lavage concentration of inflammatory mediators. Ventilator-induced lung injury occurred when injury score and cytokine concentrations in the ventilated lungs were higher than those in 10 isolated lavaged rats kept statically inflated for 3 h with an airway pressure of 4 cm H2O. RESULTS: The threshold value for coefficient b that discriminated best between lungs with and without histologic and inflammatory evidence of ventilator-induced lung injury (receiver-operating characteristic curve) ranged between 0.90-1.10. For such threshold values, the sensitivity of coefficient b to identify noninjurious ventilatory strategy was 1.00. A significant relation (P < 0.001) between values of coefficient b and injury score, interleukin-6, and macrophage inflammatory protein-2 was found. CONCLUSIONS: The predictive power of coefficient b to predict noninjurious ventilatory strategy in a model of acute lung injury is high.
Authors: Paolo Formenti; Jeronimo Graf; Arnoldo Santos; Arnoldo Santos Olveido; Kenneth E Gard; Kate Faltesek; Alexander B Adams; David J Dries; John J Marini Journal: Intensive Care Med Date: 2011-01-29 Impact factor: 17.440
Authors: Salvatore Grasso; Pierpaolo Terragni; Alberto Birocco; Rosario Urbino; Lorenzo Del Sorbo; Claudia Filippini; Luciana Mascia; Antonio Pesenti; Alberto Zangrillo; Luciano Gattinoni; V Marco Ranieri Journal: Intensive Care Med Date: 2012-02-10 Impact factor: 17.440
Authors: Alysson R Carvalho; Fumito Ichinose; Ivany A Schettino; Dean Hess; Javier Rojas; Antonio Giannella-Neto; Arvind Agnihotri; Jennifer Walker; Thomas E MacGillivray; Marcos F Vidal Melo Journal: Lung Date: 2011-09-28 Impact factor: 2.584
Authors: Vito Fanelli; Valeria Puntorieri; Barbara Assenzio; Erica L Martin; Vincenzo Elia; Martino Bosco; Luisa Delsedime; Lorenzo Del Sorbo; Andrea Ferrari; Stefano Italiano; Alessandra Ghigo; Arthur S Slutsky; Emilio Hirsch; V Marco Ranieri Journal: Intensive Care Med Date: 2010-08-19 Impact factor: 17.440
Authors: Frederico C Jandre; Felipe Cardozo Modesto; Alysson Roncally Silva Carvalho; Antonio Giannella-Neto Journal: Med Biol Eng Comput Date: 2007-10-12 Impact factor: 2.602