Exploring the effects of mechanical ventilator settings with modified vector-valued treatment policies
Ziren Jiang, Philip S. Crooke, John J. Marini, Jared D. Huling

TL;DR
This paper introduces a novel causal inference framework for evaluating the effects of multiple ventilator settings on patient outcomes, addressing confounding and interpretability issues in complex treatment scenarios.
Contribution
The paper proposes the modified vector-valued treatment policy (MVTP) with energy balancing weights, enabling simultaneous causal effect estimation of multiple continuous ventilator parameters.
Findings
Lowering airway pressures may reduce mortality more effectively than proportional tidal volume adjustments.
Reducing driving pressure benefits ARDS patients when controlling for respiratory compliance.
Different ventilator parameter adjustments lead to distinct patient outcome improvements.
Abstract
Mechanical ventilation is critical for managing respiratory failure, but inappropriate ventilator settings can lead to ventilator-induced lung injury (VILI), increasing patient morbidity and mortality. Evaluating the causal impact of ventilator settings is challenging due to the complex interplay of multiple treatment variables and strong confounding due to ventilator guidelines. In this paper, we propose a modified vector-valued treatment policy (MVTP) framework coupled with energy balancing weights to estimate causal effects involving multiple continuous ventilator parameters simultaneously in addition to sensitivity analysis to unmeasured confounding. Our approach mitigates common challenges in causal inference for vector-valued treatments, such as infeasible treatment combinations, stringent positivity assumptions, and interpretability concerns. Using the MIMIC-III database, our…
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Taxonomy
TopicsRespiratory Support and Mechanisms · Refrigeration and Air Conditioning Technologies · Infection Control and Ventilation
