Description

The TEMA study is a prospective, interventional crossover trial designed to explore the physiological relationship between levels of pressure support (PS) and tidal volume (Vt) in mechanically ventilated ICU patients diagnosed with acute hypoxemic respiratory failure (AHRF). The goal is to identify a pressure support threshold beyond which over-assistance occurs, leading to excessive tidal volumes and suppression of respiratory muscle activity.

The central hypothesis is that the PS-Vt curve follows a sigmoidal pattern: an initial plateau phase with stable Vt is followed by a steep, compliance-driven increase in Vt at higher PS levels. The Pressure-Muscle Index (PMI), calculated as the difference between plateau pressure (Pplat) and peak airway pressure (Ppeak) during an inspiratory occlusion, is used to define this inflection point (PMI=0), which marks the transition from physiologically appropriate to excessive assistance.

Study Design: The study is conducted at the ICU of Santa Chiara Hospital (Trento, Italy) and includes seven levels of pressure support modulation-three above and three below the identified PMI=0 point. At each level, key physiological variables such as Vt, respiratory rate (RR), minute ventilation, PMI, and patient-ventilator asynchrony index are recorded.

A second evaluation between days 4-6 post-enrollment is planned for patients who remain intubated, to assess whether the PS-Vt relationship evolves over time, reflecting changes in respiratory drive and mechanics during the ICU course.

Technical Aspects:

Measurements include respiratory system compliance, work of breathing (WOB), inspiratory effort, and occlusion-based indices.

PS levels are applied in randomized order to minimize bias. Clinical PSV settings are reinstated between steps to avoid carryover effects and ensure patient safety.

Analytical Approach: The primary outcome is to characterize the PS-Vt relationship and validate the use of PMI as a physiological marker of the optimal support threshold. Nonlinear regression models, including sigmoidal curve fitting, will be used to identify inflection points (c parameters) in the PS-Vt curve. A Monte Carlo simulation informed the sample size, targeting 36 patients to account for potential dropouts, ensuring \>90% power to detect a meaningful breakpoint.

Multivariable models will adjust for potential confounders such as PaCO₂, sedation depth, BMI, and baseline compliance.

Expected Impact: If successful, the TEMA study will provide a new physiologically grounded framework for tailoring pressure support in assisted ventilation. By validating PMI as a real-time bedside tool, the study may support a more personalized approach to weaning and ventilation management, potentially improving outcomes such as duration of ventilation, weaning success, and ICU stay.