Longitudinal Respiratory Subphenotypes and Differences in Response to Positive End-Expiratory Pressure and Fio2 Ventilation Strategy in COVID-19 ARDS

In patients with ARDS, positive end-expiratory pressure (PEEP) titration remains a challenge and recommendations are not in agreement. In mechanically ventilated patients with COVID-19, subphenotypes based on different respiratory trajectories have been identified, but their heterogeneity in response to PEEP/F io 2 strategy remains understudied. Can these previously determined subphenotypes be detected early in the course of mechanical ventilation, and do these subphenotypes moderate the association between PEEP and F io 2 ventilation strategy and mortality? Retrospective analysis of invasively ventilated patients with COVID-19. Patients were categorized into 2 treatment groups: high PEEP/low F io 2 strategy and low PEEP/high F io 2 strategy. To replicate previously described longitudinal respiratory subphenotypes, hereafter named the low-power or high-power subphenotype, a prediction model was created. The primary outcome was the interaction between PEEP/F io 2 strategy and subphenotype, with mortality as the dependent variable. Of the 1,464 patients included in this analysis, 361 patients (25%) were allocated into the high PEEP/low F io 2 strategy and 1,103 patients (75%) were allocated into the low PEEP/high F io 2 strategy. A prediction model consisting of respiratory data of the first 2 days of invasive ventilation (area under the receiver operating characteristics curve, 0.88) assigned 908 patients (62%) to the low-power subphenotype and 556 patients (38%) to the high-power subphenotype. The high-power subphenotype was characterized by higher minute volume, mechanical power, ventilatory ratio, and driving pressure. The association between PEEP/F io 2 ventilation strategy and ICU mortality was moderated by the subphenotype ( P = . 03), with high PEEP/low F io 2 ventilation being associated with lower mortality in the low-power subphenotype (OR, 0.46; 95% CI, 0.31-0.67; P < . 001) and not in the high-power subphenotype (OR, 0.85; 95% CI, 0.57-1.28; P = . 44). In this study, high PEEP/low F io 2 ventilation was associated with improved mortality only in one of the subphenotypes, suggesting that such subphenotypes influence heterogeneity of PEEP and F io 2 effect and should be considered in personalized ventilation strategies. ClinicalTrials.gov ; No.: NCT05954351; URL: www.clinicaltrials.gov

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CHEST Critical Care
Published
2025-03-05
DOI
https://doi.org/10.1016/j.chstcc.2025.100145
Citations
2
Primary Topic
Respiratory Support and Mechanisms
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article
Field-Weighted Citation Impact
3.04

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article

Longitudinal Respiratory Subphenotypes and Differences in Response to Positive End-Expiratory Pressure and Fio2 Ventilation Strategy in COVID-19 ARDS

Margaretha C. E. van der Woude, Rick van der Vliet, Sheila Nainan Myatra, Davide Filippini et al.
2 citations
CHEST Critical Care
Respiratory Support and Mechanisms
3.04
article

Longitudinal Respiratory Subphenotypes and Differences in Response to Positive End-Expiratory Pressure and Fio2 Ventilation Strategy in COVID-19 ARDS

Margaretha C. E. van der Woude, Rick van der Vliet, Sheila Nainan Myatra, Davide Filippini, M.J. Schultz, Peter E. Spronk, Robin L. Goossen, Markus W. Hollmann, Laura A. Buiteman‐Kruizinga, David M. P. van Meenen, L.D.J. Bos, Ary Serpa Neto, Frederique Paulus
article en
2 citations

Abstract

In patients with ARDS, positive end-expiratory pressure (PEEP) titration remains a challenge and recommendations are not in agreement. In mechanically ventilated patients with COVID-19, subphenotypes based on different respiratory trajectories have been identified, but their heterogeneity in response to PEEP/F io 2 strategy remains understudied. Can these previously determined subphenotypes be detected early in the course of mechanical ventilation, and do these subphenotypes moderate the association between PEEP and F io 2 ventilation strategy and mortality? Retrospective analysis of invasively ventilated patients with COVID-19. Patients were categorized into 2 treatment groups: high PEEP/low F io 2 strategy and low PEEP/high F io 2 strategy. To replicate previously described longitudinal respiratory subphenotypes, hereafter named the low-power or high-power subphenotype, a prediction model was created. The primary outcome was the interaction between PEEP/F io 2 strategy and subphenotype, with mortality as the dependent variable. Of the 1,464 patients included in this analysis, 361 patients (25%) were allocated into the high PEEP/low F io 2 strategy and 1,103 patients (75%) were allocated into the low PEEP/high F io 2 strategy. A prediction model consisting of respiratory data of the first 2 days of invasive ventilation (area under the receiver operating characteristics curve, 0.88) assigned 908 patients (62%) to the low-power subphenotype and 556 patients (38%) to the high-power subphenotype. The high-power subphenotype was characterized by higher minute volume, mechanical power, ventilatory ratio, and driving pressure. The association between PEEP/F io 2 ventilation strategy and ICU mortality was moderated by the subphenotype ( P = . 03), with high PEEP/low F io 2 ventilation being associated with lower mortality in the low-power subphenotype (OR, 0.46; 95% CI, 0.31-0.67; P < . 001) and not in the high-power subphenotype (OR, 0.85; 95% CI, 0.57-1.28; P = . 44). In this study, high PEEP/low F io 2 ventilation was associated with improved mortality only in one of the subphenotypes, suggesting that such subphenotypes influence heterogeneity of PEEP and F io 2 effect and should be considered in personalized ventilation strategies. ClinicalTrials.gov ; No.: NCT05954351; URL: www.clinicaltrials.gov

CHEST Critical CareVol. 3(2)
The University of Melbourne (AU), Homi Bhabha National Institute (IN), Mahidol University (TH), Tata Memorial Hospital (IN), Hospital Israelita Albert Einstein (BR), Austin Hospital (AU), Gelre Hospitals (NL), University of Oxford (GB), Australian and New Zealand Intensive Care Society (AU), Reinier de Graaf Hospital (NL), Mahidol Oxford Tropical Medicine Research Unit (TH), Zuyderland Medisch Centrum (NL), Amsterdam University Medical Centers (NL), Amsterdam University of Applied Sciences (NL), Monash University (AU), Medical University of Vienna (AT), University of Amsterdam (NL)
ZonMw
Openalex Percentile: Top 11%
Respiratory Support and Mechanisms
3.04
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