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Elastic static power, its correlation with acute respiratory distress syndrome severity: A Bayesian post-hoc analysis of the Mechanical Power Day cross-sectional trial.

Medicina intensiva2025-01-01PubMed
Total: 68.5Innovation: 7Impact: 7Rigor: 7Citation: 6

Summary

In a multicenter Bayesian post-hoc analysis of the Mechanical Power Day cross-sectional cohort, elastic static power showed the strongest independent correlation with ARDS severity compared with other mechanical power components. Values increased from 5.8 J/min in mild ARDS to 7.4 J/min in moderate/severe ARDS, with posterior means indicating stronger associations.

Key Findings

  • Elastic static power was 5.8 J/min in mild ARDS and 7.4 J/min in moderate/severe ARDS.
  • Bayesian regression showed independent correlations for mild (posterior mean 1.3; 95% CrI 0.2-2.2) and moderate/severe ARDS (posterior mean 2.8; 95% CrI 1.7-3.8), stronger than other power equations.
  • Analysis spanned 113 ICUs across 15 countries, increasing generalizability.

Clinical Implications

Elastic static power could be prioritized for bedside monitoring and ventilator adjustments to mitigate ventilator-induced lung injury and to stratify ARDS severity. Thresholds linked to outcomes warrant prospective evaluation.

Why It Matters

Identifying elastic static power as the most severity-linked power component refines ventilatory risk stratification and may guide personalized ventilation strategies in ARDS.

Limitations

  • Post-hoc analysis of cross-sectional data limits causal inference
  • Potential confounding by ventilator settings and unmeasured clinical factors; prospective validation lacking

Future Directions

Prospective studies to validate elastic static power thresholds, assess outcome associations, and test ventilation strategies targeting reductions in elastic static power.

Study Information

Study Type
Cohort
Research Domain
Pathophysiology
Evidence Level
III - Multicenter observational cross-sectional analysis with Bayesian modeling
Study Design
OTHER