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Double cycling with breath-stacking during partial support ventilation in ARDS: Just a feature of natural variability?

Critical care (London, England)2025-01-11PubMed
Total: 68.5Innovation: 7Impact: 6Rigor: 7Citation: 7

Summary

In 20 hypoxemic patients under NAVA, PAV+, and PSV, double cycling events were rare (median ≤0.6%) and correlated with variability in tidal volume and respiratory rate. DC/BS breaths had higher effort and stretch, yet subsequent cycles showed improved EELI and compliance, suggesting sigh-like, not inherently injurious, behavior during assisted ventilation.

Key Findings

  • DC/BS incidence was low across NAVA (0.6%), PAV+ (0.0%), and PSV (0.1%) with no significant difference between modes (p=0.06).
  • DC/BS correlated with variability in tidal volume (p=0.014) and respiratory rate (p=0.011).
  • DC/BS breaths showed higher tidal volume, muscular pressure, and regional stretch; subsequent cycles often improved EELI and dynamic compliance, resembling sighs.

Clinical Implications

Clinicians may avoid overly suppressing respiratory drive or changing modes solely due to rare DC/BS during assisted ventilation; these events might be tolerated akin to spontaneous sighs while monitoring for excessive effort.

Why It Matters

It challenges the prevailing assumption that double cycling during assisted ventilation is uniformly harmful, providing physiologic data that may recalibrate alarm strategies and drive management of patient–ventilator interaction.

Limitations

  • Secondary analysis with small sample size (N=20), not powered for clinical outcomes
  • Short observation periods; single-center physiology-focused study

Future Directions

Prospective multicenter studies to link DC/BS patterns with clinical outcomes and thresholds of harmful effort; algorithmic detection within ventilators to distinguish harmless from injurious patterns.

Study Information

Study Type
Cohort (physiologic crossover analysis)
Research Domain
Treatment
Evidence Level
III - Prospective observational physiologic study with within-subject comparisons
Study Design
OTHER