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Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis

BACKGROUND: The effects of plateau pressure during the initial days of mechanical ventilation on outcomes for patients with acute respiratory distress syndrome have not been fully examined. We conducted meta-regression analysis of plateau pressure during the first 7 days using randomized control tri...

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Autores principales: Yasuda, Hideto, Sanui, Masamitsu, Nishimura, Tetsuro, Kamo, Tetsuro, Nango, Eishu, Abe, Takayuki, Roberts, Rachel, Takebayashi, Toru, Hashimoto, Satoru, Lefor, Alan Kawarai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869567/
https://www.ncbi.nlm.nih.gov/pubmed/33613800
http://dx.doi.org/10.14740/jocmr4390
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author Yasuda, Hideto
Sanui, Masamitsu
Nishimura, Tetsuro
Kamo, Tetsuro
Nango, Eishu
Abe, Takayuki
Roberts, Rachel
Takebayashi, Toru
Hashimoto, Satoru
Lefor, Alan Kawarai
author_facet Yasuda, Hideto
Sanui, Masamitsu
Nishimura, Tetsuro
Kamo, Tetsuro
Nango, Eishu
Abe, Takayuki
Roberts, Rachel
Takebayashi, Toru
Hashimoto, Satoru
Lefor, Alan Kawarai
author_sort Yasuda, Hideto
collection PubMed
description BACKGROUND: The effects of plateau pressure during the initial days of mechanical ventilation on outcomes for patients with acute respiratory distress syndrome have not been fully examined. We conducted meta-regression analysis of plateau pressure during the first 7 days using randomized control trials to investigate the optimal upper limits of plateau pressure on different days of mechanical ventilation. METHODS: Randomized controlled trials comparing two mechanical ventilation strategies with lower and higher plateau pressures in patients with acute respiratory distress syndrome were included. Meta-regression analysis was performed to determine the association of plateau pressure with mortality on days 1, 3, and 7 of mechanical ventilation. RESULTS: After evaluation of 2,975 citations from a comprehensive search across electronic databases, 14 studies were included in the final qualitative analysis. A total of 4,984 patients were included in the quantitative analysis. As a result of the pairwise comparison, overall short-term mortality was significantly higher for patients with plateau pressures over 32 cm H(2)O during the first 3 days after intensive care unit (ICU) admission (day 1: relative risk (RR), 0.77; 95% confidence interval (CI), 0.66 - 0.89; I(2) = 0%; day 3: RR, 0.76; 95% CI, 0.64 - 0.90; I(2) = 0%), but not on day 7 (RR, 0.82; 95% CI, 0.65 - 1.04; I(2) = 16%). Plateau pressures below 27 cm H(2)O and 30 cm H(2)O were not associated with an absolute risk reduction of short-term mortality. According to univariable meta-regression analysis, mortality was significantly associated with plateau pressure on day 1 (β = 0.01 (95% CI, 0.002 - 0.024), P = 0.02). On days 3 and 7, however, no significant difference was detected. When the cutoffs were set at 27, 30 and 32 cm H(2)O on day 1, which showed a significant difference, plateau pressure tended to be associated with increased mortality at pressures above the cut-off values, and there were no significant differences at pressures below the cut-off values, regardless of the cutoff used. CONCLUSIONS: This study suggests that the optimal cut-off value for plateau pressure may be 27 cm H(2)O especially during the initial period of mechanical ventilation, although this association may not continue during the latter period of mechanical ventilation.
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spelling pubmed-78695672021-02-18 Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis Yasuda, Hideto Sanui, Masamitsu Nishimura, Tetsuro Kamo, Tetsuro Nango, Eishu Abe, Takayuki Roberts, Rachel Takebayashi, Toru Hashimoto, Satoru Lefor, Alan Kawarai J Clin Med Res Original Article BACKGROUND: The effects of plateau pressure during the initial days of mechanical ventilation on outcomes for patients with acute respiratory distress syndrome have not been fully examined. We conducted meta-regression analysis of plateau pressure during the first 7 days using randomized control trials to investigate the optimal upper limits of plateau pressure on different days of mechanical ventilation. METHODS: Randomized controlled trials comparing two mechanical ventilation strategies with lower and higher plateau pressures in patients with acute respiratory distress syndrome were included. Meta-regression analysis was performed to determine the association of plateau pressure with mortality on days 1, 3, and 7 of mechanical ventilation. RESULTS: After evaluation of 2,975 citations from a comprehensive search across electronic databases, 14 studies were included in the final qualitative analysis. A total of 4,984 patients were included in the quantitative analysis. As a result of the pairwise comparison, overall short-term mortality was significantly higher for patients with plateau pressures over 32 cm H(2)O during the first 3 days after intensive care unit (ICU) admission (day 1: relative risk (RR), 0.77; 95% confidence interval (CI), 0.66 - 0.89; I(2) = 0%; day 3: RR, 0.76; 95% CI, 0.64 - 0.90; I(2) = 0%), but not on day 7 (RR, 0.82; 95% CI, 0.65 - 1.04; I(2) = 16%). Plateau pressures below 27 cm H(2)O and 30 cm H(2)O were not associated with an absolute risk reduction of short-term mortality. According to univariable meta-regression analysis, mortality was significantly associated with plateau pressure on day 1 (β = 0.01 (95% CI, 0.002 - 0.024), P = 0.02). On days 3 and 7, however, no significant difference was detected. When the cutoffs were set at 27, 30 and 32 cm H(2)O on day 1, which showed a significant difference, plateau pressure tended to be associated with increased mortality at pressures above the cut-off values, and there were no significant differences at pressures below the cut-off values, regardless of the cutoff used. CONCLUSIONS: This study suggests that the optimal cut-off value for plateau pressure may be 27 cm H(2)O especially during the initial period of mechanical ventilation, although this association may not continue during the latter period of mechanical ventilation. Elmer Press 2021-01 2021-01-12 /pmc/articles/PMC7869567/ /pubmed/33613800 http://dx.doi.org/10.14740/jocmr4390 Text en Copyright 2021, Yasuda et al. http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yasuda, Hideto
Sanui, Masamitsu
Nishimura, Tetsuro
Kamo, Tetsuro
Nango, Eishu
Abe, Takayuki
Roberts, Rachel
Takebayashi, Toru
Hashimoto, Satoru
Lefor, Alan Kawarai
Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis
title Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis
title_full Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis
title_fullStr Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis
title_full_unstemmed Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis
title_short Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis
title_sort optimal upper limits of plateau pressure for patients with acute respiratory distress syndrome during the first seven days: a meta-regression analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869567/
https://www.ncbi.nlm.nih.gov/pubmed/33613800
http://dx.doi.org/10.14740/jocmr4390
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