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Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS
OBJECTIVES: A recent individual patient data (IPD) meta-analysis suggested that patients with moderate or severe acute respiratory distress syndrome (ARDS) benefit from higher positive end-expiratory pressure (PEEP) ventilation strategies. However, thresholds for continuous variables (eg, hypoxaemia...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020750/ https://www.ncbi.nlm.nih.gov/pubmed/27609843 http://dx.doi.org/10.1136/bmjopen-2016-011148 |
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author | Kasenda, Benjamin Sauerbrei, Willi Royston, Patrick Mercat, Alain Slutsky, Arthur S Cook, Deborah Guyatt, Gordon H Brochard, Laurent Richard, Jean-Christophe M Stewart, Thomas E Meade, Maureen Briel, Matthias |
author_facet | Kasenda, Benjamin Sauerbrei, Willi Royston, Patrick Mercat, Alain Slutsky, Arthur S Cook, Deborah Guyatt, Gordon H Brochard, Laurent Richard, Jean-Christophe M Stewart, Thomas E Meade, Maureen Briel, Matthias |
author_sort | Kasenda, Benjamin |
collection | PubMed |
description | OBJECTIVES: A recent individual patient data (IPD) meta-analysis suggested that patients with moderate or severe acute respiratory distress syndrome (ARDS) benefit from higher positive end-expiratory pressure (PEEP) ventilation strategies. However, thresholds for continuous variables (eg, hypoxaemia) are often arbitrary and linearity assumptions in regression approaches may not hold; the multivariable fractional polynomial interaction (MFPI) approach can address both problems. The objective of this study was to apply the MFPI approach to investigate interactions between four continuous patient baseline variables and higher versus lower PEEP on clinical outcomes. SETTING: Pooled data from three randomised trials in intensive care identified by a systematic review. PARTICIPANTS: 2299 patients with acute lung injury requiring mechanical ventilation. INTERVENTIONS: Higher (N=1136) versus lower PEEP (N=1163) ventilation strategy. OUTCOME MEASURES: Prespecified outcomes included mortality, time to death and time-to-unassisted breathing. We examined the following continuous baseline characteristics as potential effect modifiers using MFPI: PaO(2)/FiO(2) (arterial partial oxygen pressure/ fraction of inspired oxygen), oxygenation index, respiratory system compliance (tidal volume/(inspiratory plateau pressure−PEEP)) and body mass index (BMI). RESULTS: We found that for patients with PaO(2)/FiO(2) below 150 mm Hg, but above 100 mm Hg or an oxygenation index above 12 (moderate ARDS), higher PEEP reduces hospital mortality, but the beneficial effect appears to level off for patients with very severe ARDS. Patients with mild ARDS (PaO(2)/FiO(2) above 200 mm Hg or an oxygenation index below 10) do not seem to benefit from higher PEEP and might even be harmed. For patients with a respiratory system compliance above 40 mL/cm H(2)O or patients with a BMI above 35 kg/m(2), we found a trend towards reduced mortality with higher PEEP, but there is very weak statistical confidence in these findings. CONCLUSIONS: MFPI analyses suggest a nonlinear effect modification of higher PEEP ventilation by PaO(2)/FiO(2) and oxygenation index with reduced mortality for some patients suffering from moderate ARDS. STUDY REGISTRATION NUMBER: CRD42012003129. |
format | Online Article Text |
id | pubmed-5020750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50207502016-09-20 Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS Kasenda, Benjamin Sauerbrei, Willi Royston, Patrick Mercat, Alain Slutsky, Arthur S Cook, Deborah Guyatt, Gordon H Brochard, Laurent Richard, Jean-Christophe M Stewart, Thomas E Meade, Maureen Briel, Matthias BMJ Open Intensive Care OBJECTIVES: A recent individual patient data (IPD) meta-analysis suggested that patients with moderate or severe acute respiratory distress syndrome (ARDS) benefit from higher positive end-expiratory pressure (PEEP) ventilation strategies. However, thresholds for continuous variables (eg, hypoxaemia) are often arbitrary and linearity assumptions in regression approaches may not hold; the multivariable fractional polynomial interaction (MFPI) approach can address both problems. The objective of this study was to apply the MFPI approach to investigate interactions between four continuous patient baseline variables and higher versus lower PEEP on clinical outcomes. SETTING: Pooled data from three randomised trials in intensive care identified by a systematic review. PARTICIPANTS: 2299 patients with acute lung injury requiring mechanical ventilation. INTERVENTIONS: Higher (N=1136) versus lower PEEP (N=1163) ventilation strategy. OUTCOME MEASURES: Prespecified outcomes included mortality, time to death and time-to-unassisted breathing. We examined the following continuous baseline characteristics as potential effect modifiers using MFPI: PaO(2)/FiO(2) (arterial partial oxygen pressure/ fraction of inspired oxygen), oxygenation index, respiratory system compliance (tidal volume/(inspiratory plateau pressure−PEEP)) and body mass index (BMI). RESULTS: We found that for patients with PaO(2)/FiO(2) below 150 mm Hg, but above 100 mm Hg or an oxygenation index above 12 (moderate ARDS), higher PEEP reduces hospital mortality, but the beneficial effect appears to level off for patients with very severe ARDS. Patients with mild ARDS (PaO(2)/FiO(2) above 200 mm Hg or an oxygenation index below 10) do not seem to benefit from higher PEEP and might even be harmed. For patients with a respiratory system compliance above 40 mL/cm H(2)O or patients with a BMI above 35 kg/m(2), we found a trend towards reduced mortality with higher PEEP, but there is very weak statistical confidence in these findings. CONCLUSIONS: MFPI analyses suggest a nonlinear effect modification of higher PEEP ventilation by PaO(2)/FiO(2) and oxygenation index with reduced mortality for some patients suffering from moderate ARDS. STUDY REGISTRATION NUMBER: CRD42012003129. BMJ Publishing Group 2016-09-08 /pmc/articles/PMC5020750/ /pubmed/27609843 http://dx.doi.org/10.1136/bmjopen-2016-011148 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Intensive Care Kasenda, Benjamin Sauerbrei, Willi Royston, Patrick Mercat, Alain Slutsky, Arthur S Cook, Deborah Guyatt, Gordon H Brochard, Laurent Richard, Jean-Christophe M Stewart, Thomas E Meade, Maureen Briel, Matthias Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS |
title | Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS |
title_full | Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS |
title_fullStr | Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS |
title_full_unstemmed | Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS |
title_short | Multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower PEEP for patients with ARDS |
title_sort | multivariable fractional polynomial interaction to investigate continuous effect modifiers in a meta-analysis on higher versus lower peep for patients with ards |
topic | Intensive Care |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020750/ https://www.ncbi.nlm.nih.gov/pubmed/27609843 http://dx.doi.org/10.1136/bmjopen-2016-011148 |
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