Literature DB >> 11991877

ARDSNet lower tidal volume ventilatory strategy may generate intrinsic positive end-expiratory pressure in patients with acute respiratory distress syndrome.

Gabriella de Durante1, Monica del Turco, Laura Rustichini, Patrizia Cosimini, Francesco Giunta, Leonard D Hudson, Arthur S Slutsky, V Marco Ranieri.   

Abstract

The ARDSNet trial revealed that the use of a smaller tidal volume (VT) reduced mortality by 22%. However, three earlier studies that lowered VT did not find a decrease in mortality. We tested the hypothesis that the increased respiratory rate used in the ARDSNet lower VT strategy might have led to intrinsic positive end-expiratory pressure (PEEP(i)), raising total PEEP (PEEP(total)). Ten patients with acute respiratory distress syndrome (ARDS) were ventilated using the ARDSNet lower VT protocol. Respiratory rate was then reduced (10-15 breaths/minute) to obtain a VT of 12 ml/kg (ARDSNet traditional VT). PEEP on the ventilator (PEEP(nominal): 10.1 +/- 0.7 cm H2O), FIO2 (0.7 +/- 0.1), and minute ventilation (VE: 12.4 +/- 1.7 L/minute) were set using the ARDSNet protocol and maintained constant during the two ventilatory strategies. Values of airway pressure at end-expiration of a regular breath (PEEP(external)) and 3-5 seconds after the onset of an end-expiratory occlusion (PEEP(total)) were measured. PEEP(i) was calculated by subtracting PEEP(external) from PEEP(total). PEEP(total) and PEEP(i) were, respectively, 16.3 +/- 2.9 and 5.8 +/- 3.0 cm H2O during the lower VT strategy and 11.7 +/- 0.9 and 1.4 +/- 1.0 cm H2O during the traditional VT strategy (p < 0.01). The reduced mortality observed with the ARDSNet strategy may have been due to the protective effect of a higher PEEP(total).

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Year:  2002        PMID: 11991877     DOI: 10.1164/rccm.2105050

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  22 in total

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Authors:  John A Belperio; Michael P Keane; Marie D Burdick; Vedang Londhe; Ying Ying Xue; Kewang Li; Roderick J Phillips; Robert M Strieter
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Review 2.  Ventilator-induced lung injury: from the bench to the bedside.

Authors:  Lorraine N Tremblay; Arthur S Slutsky
Journal:  Intensive Care Med       Date:  2005-10-18       Impact factor: 17.440

3.  Epidemiology of mechanical ventilation: analysis of the SAPS 3 database.

Authors:  Philipp G H Metnitz; Barbara Metnitz; Rui P Moreno; Peter Bauer; Lorenzo Del Sorbo; Christoph Hoermann; Susana Afonso de Carvalho; V Marco Ranieri
Journal:  Intensive Care Med       Date:  2009-03-14       Impact factor: 17.440

4.  Heat and moisture exchangers and heated humidifiers in acute lung injury/acute respiratory distress syndrome patients. Effects on respiratory mechanics and gas exchange.

Authors:  Indalecio Morán; Judith Bellapart; Alessandra Vari; Jordi Mancebo
Journal:  Intensive Care Med       Date:  2006-02-24       Impact factor: 17.440

5.  Mathematical modelling to centre low tidal volumes following acute lung injury: a study with biologically variable ventilation.

Authors:  M Ruth Graham; Craig J Haberman; John F Brewster; Linda G Girling; Bruce M McManus; W Alan C Mutch
Journal:  Respir Res       Date:  2005-06-28

Review 6.  Bench-to-bedside review: adjuncts to mechanical ventilation in patients with acute lung injury.

Authors:  Jean-Jacques Rouby; Qin Lu
Journal:  Crit Care       Date:  2005-06-28       Impact factor: 9.097

Review 7.  Bench-to-bedside review: distal airways in acute respiratory distress syndrome.

Authors:  Manu Jain; J Iasha Sznajder
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

8.  Mechanisms of ventilator-induced lung injury: the clinician's perspective.

Authors:  Gaëtane Michaud; Pierre Cardinal
Journal:  Crit Care       Date:  2003-01-24       Impact factor: 9.097

9.  Low tidal volume, high respiratory rate and auto-PEEP: the importance of the basics.

Authors:  Nicolò Patroniti; Antonio Pesenti
Journal:  Crit Care       Date:  2003-01-31       Impact factor: 9.097

10.  Why are clinicians not embracing the results from pivotal clinical trials in severe sepsis? A bayesian analysis.

Authors:  Andre C Kalil; Junfeng Sun
Journal:  PLoS One       Date:  2008-05-28       Impact factor: 3.240

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