Heart-Lung interactions

Chacón-Lozsán Francisco

Cite

Francisco CL. Heart-Lung interactions. J Mech Vent 2025; 6(4):182-199.

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Abstract

Background

Heart-lung interactions represent a fundamental physiological relationship that determines the hemodynamic and respiratory responses in both healthy and critically ill patients. In the intensive care setting, understanding these interactions is essential for optimizing ventilation and circulatory support.

Objective

This article provides a comprehensive review of the physiological and pathophysiological mechanisms underlying heart-lung interactions during spontaneous, controlled, and assisted ventilation, with a focus on disease specific implications in chronic obstructive, restrictive pulmonary disease, and heart failure.

Methods

A narrative synthesis of current evidence and guideline-based practices was conducted, integrating data from recent clinical and experimental studies on cardiopulmonary coupling, hemodynamic monitoring, and mechanical ventilation strategies.

Results

Spontaneous breathing enhances venous return and right ventricular preload through negative intrathoracic pressure but increases left ventricular afterload. Conversely, controlled mechanical ventilation reduces preload while alleviating left ventricular afterload through positive intrathoracic pressures. In obstructive patients, dynamic hyperinflation and auto-PEEP elevate right ventricular afterload and reduce cardiac output. In restrictive patients, high PEEP and driving pressures exacerbate pulmonary vascular resistance and right heart strain, whereas in heart failure, positive pressure ventilation reduces pulmonary congestion and left ventricular afterload, improving cardiac output. Assisted modes modulate these effects depending on the patient’s spontaneous effort, synchronization, and underlying pathophysiology.

Conclusion

Heart-lung interactions must be dynamically assessed to individualize ventilatory and hemodynamic strategies. Advanced monitoring, personalized ventilation, and AI-assisted decision systems represent the future of optimizing cardiopulmonary coupling in critically ill patients, improving survival and minimizing ventilator-induced injury.

Keywords:  Heart-lung interactions, mechanical ventilation, hemodynamics, ARDS, critical care physiology

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