A single compartment model to describe lung functionality: A comprehensive study

Mechanical Ventilation (MV) is a critical medical intervention used to support patients with impaired lung function caused by severe conditions such as pneumonia or COVID-19. Model-based Methods, particularly computational models, are employed to simulate and analyze lung mechanics under MV. Among these, the Single Compartment Lung Model (SCLM) remains the most commonly adopted framework for replicating lung behavior during MV, facilitating optimal treatment strategies. This review critically analyzes existing literatures on SCLM applications, focusing on key parameters such as lung elastance (E), airway resistance (R_rs), and Dynamic Functional Residual Capacity (dFRC). Methodologies, evaluation metrics, and clinical applications were examined to identify common trends, inconsistences, and research gaps. The findings indicate that E has been the primary focus due to its relevance in assessing lung mechanism, especially under MV. This parameter often evaluated alongside variables like Positive End-Expiratory Pressure (PEEP), Peak Inspiratory Pressure (PIP), Peak Inspiratory Volume (PIV), and Tidal Volume (V_t). Additionally, FRC and R_rs are also considered in some models. The review emphasizes the need for standardized evaluation protocols, simplified input models, and disease-specific adaptations to enhance clinical applicability. Our findings provide valuable guidance for future research aiming to refine SCLM-based approaches and improve personalized mechanical ventilation strategies.