Cargando…

Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position

BACKGROUND: Prone position is frequently used in patients with acute respiratory distress syndrome (ARDS), especially during the Coronavirus disease 2019 pandemic. Our study investigated the ability of pulse pressure variation (PPV) and its changes during a tidal volume challenge (TVC) to assess pre...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Rui, Ayed, Soufia, Moretto, Francesca, Azzolina, Danila, De Vita, Nello, Gavelli, Francesco, Carelli, Simone, Pavot, Arthur, Lai, Christopher, Monnet, Xavier, Teboul, Jean-Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294836/
https://www.ncbi.nlm.nih.gov/pubmed/35850771
http://dx.doi.org/10.1186/s13054-022-04087-w
_version_ 1784749931164073984
author Shi, Rui
Ayed, Soufia
Moretto, Francesca
Azzolina, Danila
De Vita, Nello
Gavelli, Francesco
Carelli, Simone
Pavot, Arthur
Lai, Christopher
Monnet, Xavier
Teboul, Jean-Louis
author_facet Shi, Rui
Ayed, Soufia
Moretto, Francesca
Azzolina, Danila
De Vita, Nello
Gavelli, Francesco
Carelli, Simone
Pavot, Arthur
Lai, Christopher
Monnet, Xavier
Teboul, Jean-Louis
author_sort Shi, Rui
collection PubMed
description BACKGROUND: Prone position is frequently used in patients with acute respiratory distress syndrome (ARDS), especially during the Coronavirus disease 2019 pandemic. Our study investigated the ability of pulse pressure variation (PPV) and its changes during a tidal volume challenge (TVC) to assess preload responsiveness in ARDS patients under prone position. METHODS: This was a prospective study conducted in a 25-bed intensive care unit at a university hospital. We included patients with ARDS under prone position, ventilated with 6 mL/kg tidal volume and monitored by a transpulmonary thermodilution device. We measured PPV and its changes during a TVC (ΔPPV TVC(6–8)) after increasing the tidal volume from 6 to 8 mL/kg for one minute. Changes in cardiac index (CI) during a Trendelenburg maneuver (ΔCI(TREND)) and during end-expiratory occlusion (EEO) at 8 mL/kg tidal volume (ΔCI EEO(8)) were recorded. Preload responsiveness was defined by both ΔCI(TREND) ≥ 8% and ΔCI EEO(8) ≥ 5%. Preload unresponsiveness was defined by both ΔCI(TREND) < 8% and ΔCI EEO(8) < 5%. RESULTS: Eighty-four sets of measurements were analyzed in 58 patients. Before prone positioning, the ratio of partial pressure of arterial oxygen to fraction of inspired oxygen was 104 ± 27 mmHg. At the inclusion time, patients were under prone position for 11 (2–14) hours. Norepinephrine was administered in 83% of cases with a dose of 0.25 (0.15–0.42) µg/kg/min. The positive end-expiratory pressure was 14 (11–16) cmH(2)O. The driving pressure was 12 (10–17) cmH(2)O, and the respiratory system compliance was 32 (22–40) mL/cmH(2)O. Preload responsiveness was detected in 42 cases. An absolute change in PPV ≥ 3.5% during a TVC assessed preload responsiveness with an area under the receiver operating characteristics (AUROC) curve of 0.94 ± 0.03 (sensitivity: 98%, specificity: 86%) better than that of baseline PPV (0.85 ± 0.05; p = 0.047). In the 56 cases where baseline PPV was inconclusive (≥ 4% and < 11%), ΔPPV TVC(6–8) ≥ 3.5% still enabled to reliably assess preload responsiveness (AUROC: 0.91 ± 0.05, sensitivity: 97%, specificity: 81%; p < 0.01 vs. baseline PPV). CONCLUSION: In patients with ARDS under low tidal volume ventilation during prone position, the changes in PPV during a TVC can reliably assess preload responsiveness without the need for cardiac output measurements. Trial registration: ClinicalTrials.gov (NCT04457739). Registered 30 June 2020 —Retrospectively registered, https://clinicaltrials.gov/ct2/show/record/NCT04457739 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04087-w.
format Online
Article
Text
id pubmed-9294836
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-92948362022-07-19 Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position Shi, Rui Ayed, Soufia Moretto, Francesca Azzolina, Danila De Vita, Nello Gavelli, Francesco Carelli, Simone Pavot, Arthur Lai, Christopher Monnet, Xavier Teboul, Jean-Louis Crit Care Research BACKGROUND: Prone position is frequently used in patients with acute respiratory distress syndrome (ARDS), especially during the Coronavirus disease 2019 pandemic. Our study investigated the ability of pulse pressure variation (PPV) and its changes during a tidal volume challenge (TVC) to assess preload responsiveness in ARDS patients under prone position. METHODS: This was a prospective study conducted in a 25-bed intensive care unit at a university hospital. We included patients with ARDS under prone position, ventilated with 6 mL/kg tidal volume and monitored by a transpulmonary thermodilution device. We measured PPV and its changes during a TVC (ΔPPV TVC(6–8)) after increasing the tidal volume from 6 to 8 mL/kg for one minute. Changes in cardiac index (CI) during a Trendelenburg maneuver (ΔCI(TREND)) and during end-expiratory occlusion (EEO) at 8 mL/kg tidal volume (ΔCI EEO(8)) were recorded. Preload responsiveness was defined by both ΔCI(TREND) ≥ 8% and ΔCI EEO(8) ≥ 5%. Preload unresponsiveness was defined by both ΔCI(TREND) < 8% and ΔCI EEO(8) < 5%. RESULTS: Eighty-four sets of measurements were analyzed in 58 patients. Before prone positioning, the ratio of partial pressure of arterial oxygen to fraction of inspired oxygen was 104 ± 27 mmHg. At the inclusion time, patients were under prone position for 11 (2–14) hours. Norepinephrine was administered in 83% of cases with a dose of 0.25 (0.15–0.42) µg/kg/min. The positive end-expiratory pressure was 14 (11–16) cmH(2)O. The driving pressure was 12 (10–17) cmH(2)O, and the respiratory system compliance was 32 (22–40) mL/cmH(2)O. Preload responsiveness was detected in 42 cases. An absolute change in PPV ≥ 3.5% during a TVC assessed preload responsiveness with an area under the receiver operating characteristics (AUROC) curve of 0.94 ± 0.03 (sensitivity: 98%, specificity: 86%) better than that of baseline PPV (0.85 ± 0.05; p = 0.047). In the 56 cases where baseline PPV was inconclusive (≥ 4% and < 11%), ΔPPV TVC(6–8) ≥ 3.5% still enabled to reliably assess preload responsiveness (AUROC: 0.91 ± 0.05, sensitivity: 97%, specificity: 81%; p < 0.01 vs. baseline PPV). CONCLUSION: In patients with ARDS under low tidal volume ventilation during prone position, the changes in PPV during a TVC can reliably assess preload responsiveness without the need for cardiac output measurements. Trial registration: ClinicalTrials.gov (NCT04457739). Registered 30 June 2020 —Retrospectively registered, https://clinicaltrials.gov/ct2/show/record/NCT04457739 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04087-w. BioMed Central 2022-07-18 /pmc/articles/PMC9294836/ /pubmed/35850771 http://dx.doi.org/10.1186/s13054-022-04087-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shi, Rui
Ayed, Soufia
Moretto, Francesca
Azzolina, Danila
De Vita, Nello
Gavelli, Francesco
Carelli, Simone
Pavot, Arthur
Lai, Christopher
Monnet, Xavier
Teboul, Jean-Louis
Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position
title Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position
title_full Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position
title_fullStr Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position
title_full_unstemmed Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position
title_short Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position
title_sort tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294836/
https://www.ncbi.nlm.nih.gov/pubmed/35850771
http://dx.doi.org/10.1186/s13054-022-04087-w
work_keys_str_mv AT shirui tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT ayedsoufia tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT morettofrancesca tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT azzolinadanila tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT devitanello tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT gavellifrancesco tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT carellisimone tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT pavotarthur tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT laichristopher tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT monnetxavier tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition
AT tebouljeanlouis tidalvolumechallengetopredictpreloadresponsivenessinpatientswithacuterespiratorydistresssyndromeunderproneposition