Dear Editor,
Exposure to higher driving pressure during invasive mechanical ventilation for acute respiratory failure is associated with increased mortality. The Extracorporeal Life Support Organization (ELSO) ECMO Guideline recommends ultra-low tidal volumes [1]—generally defined as <4 mL/kg of predicted body weight (PBW)—though this has not been tested in a randomized trial. By enabling gas exchange independent of the native lung, ECMO may enhance lung-protective ventilation strategies [2]. Whether reductions in driving pressure during venovenous ECMO support are associated with lower mortality is unclear.
We conducted a registry-based, emulated trial using the ELSO Registry (eTable 1). Patients were included if, at ECMO initiation, they were <70 years and were endotracheally intubated for <7 days. We compared the effect of exposure to dynamic driving pressure (DDP) (peak inspiratory pressure – positive end-expiratory pressure) ≤15 cmH2O vs >15 cmH2O during the first 24 hours of ECMO support on hospital mortality of adult patients with acute respiratory failure. We estimated average treatment effect (ATE) weights to balance patients on severity of illness using propensity score based inverse probability weighting (Supplemental Online Content). We performed sensitivity analyses using multiple imputation for missing data and examining the effect of DDP >15 cmH2O on clinically relevant subsets: patients with a primary documented diagnosis of acute respiratory distress syndrome, and/or receipt of neuromuscular blocking agents, and patients with a PaO2/FiO2 <100 mmHg.
We identified 9307 patients and 3113 (33%) deaths in our data set from Jan 1st, 2008-December 31st, 2021. Inclusion flowchart (eFigure 1) and baseline characteristics (eTable 4) are listed in the Supplement. There was good separation in DDP between groups: ≤15 cmH2O group: median 11 cmH2O [Interquartile range (IQR): 10 to 13] and >15 cmH2O group: 20 cmH2O [17 to 23]; p<0.001. Respiratory rate was lower among patients managed with ≤15 cmH2O driving pressure (10 [10 to 15] vs 13 [10 to 16] bpm; p<0.001). Mortality was 31% in patients managed with ≤15 cmH2O driving pressure, and 39% in patients managed with >15 cmH2O driving pressure (p<0.001).
Following the construction of the propensity scores (eFigure 2), the groups were well balanced (eFigure 3). After adjusting for patient characteristics, hospital mortality was significantly higher in patients exposed to DDP >15 cmH2O (odds ratio [OR] 1.42 [95% CI 1.29, 1.56]; p<0.001) (Table 1, eFigure 4). The association of DDP >15 cmH2O with hospital mortality was robust in sensitivity analyses (eTable 6, eTable 7). E-value for the primary outcome was 1.64.
Table 1:
Hospital Mortality Odds Ratios for Driving Pressure >15 cmH2O
| Cohort | Odds ratio1 (95% CI) | Odds ratio2 (95% CI) | E value |
|---|---|---|---|
| All patients | 1.41 (1.26,1.59) | 1.42 (1.29,1.56) | 1.67 |
| ARDS | 1.28 (1.08,1.52) | 1.33 (1.15,1.57) | |
| NMB | 1.36 (1.18,1.58) | 1.34 (1.19,1.53) | |
| ARDS & NMB | 1.25 (1.01,1.58) | 1.26 (1.01,1.54) |
Unweighted
ATE after inverse probability of treatment (IPT) weights
Abbreviations: ARDS-acute respiratory distress syndrome; ATE-average treatment effect in the treated; CI-confidence interval; cmH2O-centimeters of water; NMB-neuromuscular blockade
To our knowledge, this is the first study to utilize a trial emulation approach of DDP to test this hypothesis among patients with venovenous ECMO. Our findings are strengthened by consistent, significant results in subsets, with a 42% higher odds of mortality in the main group, and 26-34% higher odds among the subgroups with DDP >15 cmH2O. We acknowledge limitations, including potential for residual confounding, limited applicability, the assumption that data were measured without error, the acknowledgement that DDP is a proxy of static DP, the lack of data on prone positioning, and that our analysis measured the association between measurements at baseline, but was not adherence-adjusted and does not consider different treatment durations.
Supplementary Material
Acknowledgements:
Members of the Universit of Utah Study Design and Biostatistics Center (SDBC): Chong Zhang, Angela P. Presson.
Funding
Dr. Tonna is supported by a Career Development Award from the National Institutes of Health/National Heart, Lung, And Blood Institute (K23 HL141596). This study was also supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant UL1TR002538 (formerly 5UL1TR001067-05, 8UL1TR000105 and UL1RR025764).
Abbreviations:
- ARDS
acute respiratory distress syndrome
- ATE
average treatment effect in the treated
- CCI
Charlson comorbidity index
- CI
confidence interval
- cmH2O
centimeters of water
- DDP
dynamic driving pressure
- ELSO
Extracorporeal Life Support Organization
- GEE
generalized estimating equation
- IPT
inverse probability of treatment
- NMB
neuromuscular blockade
- VV ECMO
veno-venous extracorporeal membrane oxygenation
Footnotes
Availability of Data and Materials
Data were utilized under license from the Extracorporeal Life Support Organization (ELSO).
Compliance with Ethical Standards
This analysis of de-identified data was exempt from institutional review board approval.
Conflicts of Interest
Dr. Tonna is the Chair of the Registry Committee of the Extracorporeal Life Support Organization (ELSO). None of the funding sources were involved in the design or conduct of the study, collection, management, analysis or interpretation of the data, or preparation, review or approval of the manuscript. No conflicts of interest reported. Dr. Brodie receives research support from and consults for LivaNova. He has been on the medical advisory boards for Abiomed, Xenios, Medtronic, Inspira and Cellenkos. He is the President-elect of the Extracorporeal Life Support Organization (ELSO) and the Chair of the Executive Committee of the International ECMO Network (ECMONet), and he writes for UpToDate. Dr. Fan reports personal fees from ALung Technologies, Aerogen, Baxter, GE Healthcare, Inspira, and Vasomune.
REFERENCES
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