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Showing posts with label Ventilator-induced lung injuries. Show all posts
Showing posts with label Ventilator-induced lung injuries. Show all posts

Wednesday, 13 August 2025

 

Physiological and clinical effects of two ultraprotective ventilation strategies in patients with veno-venous extracorporeal membrane oxygenation: the ECMOVENT study

Annals of Intensive Care volume 15, Article number: 111, Published: 01 August 2025

Purpose

The optimal ventilation strategy in acute respiratory distress syndrome (ARDS) patients with veno-venous extracorporeal membrane oxygenation (VV-ECMO) remains unknown. We aimed to compare the effects of two ultra-protective ventilatory strategies applied to patients with ARDS and VV-ECMO.

Methods

Our study was an observational, retrospective, single-center study with a before-and-after design. All consecutive patients treated with VV-ECMO for severe ARDS between 2016 and 2023 were included. Before 2021, patients received a quasi-apneic ventilation strategy in assist-controlled volume mode with a tidal volume (VT) of 1 ml.kg−1 predicted body weight (PBW), a respiratory rate (RR) of 5 min−1 and a PEEP set to keep plateau pressure (PPLAT) between 20 and 25 cmH2O. From 2021 onwards, the protocolized ventilatory strategy consisted in pressure-controlled mode with a PEEP of 14 cmH2O, a driving pressure (∆P) of 8 cmH2O and a RR of 10 min−1. We evaluated the impact of strategies on longitudinal respiratory mechanics and on the time to successful ECMO weaning at day-90 after VV-ECMO canulation.

Results

121 patients were enrolled, with 69 receiving the VT1 strategy, and 52 the ∆P8 strategy. Over the first 7 days of ECMO, the ∆P8 strategy was associated with significantly higher ∆P and RR, lower PaCO2, and higher static elastic mechanical power, compared with the VT1 strategy. The day-90 survival rate was 30% with the VT1 strategy, and 42% with the ∆P8 strategy (P=0.19). Time to successful VV-ECMO weaning was 7 [413] days in day-90 survivors, with no significant difference between groups. The adjusted subdistribution hazard ratio associated with the P8 strategy was 0.99 (95% confidence interval: 0.531.84), as compared to the VT1 strategy (P>0.9).

Conclusions

In the context of our center, a ventilatory strategy targeting a PEEP of 14 cmH2O, a ∆P of 8 cmH2O and a RR of 10 min−1 led to the application of ∆P, RR and static elastic mechanical power and improved decarboxylation, compared to a strategy in volumetric mode with a VT of 1 ml.kg−1 PBW and a RR of 5 min−1, in patients with ARDS and VV-ECMO. No significant difference on clinical outcomes was observed between both strategies.

Thursday, 11 August 2022

 

Imaging the acute respiratory distress syndrome: past, present and future

 

Intensive Care Medicine volume 48, pages 995–1008 (2022) Published: 14 July 2022

 

In patients with the acute respiratory distress syndrome (ARDS), lung imaging is a fundamental tool in the study of the morphological and mechanistic features of the lungs. Chest computed tomography studies led to major advances in the understanding of ARDS physiology. They allowed the in vivo study of the syndrome’s lung features in relation with its impact on respiratory physiology and physiology, but also explored the lungs’ response to mechanical ventilation, be it alveolar recruitment or ventilator-induced lung injuries. Coupled with positron emission tomography, morphological findings were put in relation with ventilation, perfusion or acute lung inflammation. Lung imaging has always been central in the care of patients with ARDS, with modern point-of-care tools such as electrical impedance tomography or lung ultrasounds guiding clinical reasoning beyond macro-respiratory mechanics. Finally, artificial intelligence and machine learning now assist imaging post-processing software, which allows real-time analysis of quantitative parameters that describe the syndrome’s complexity. This narrative review aims to draw a didactic and comprehensive picture of how modern imaging techniques improved our understanding of the syndrome, and have the potential to help the clinician guide ventilatory treatment and refine patient prognostication.