Prediction of prolonged mechanical ventilation

This study aims to develop a predictive model of the ventilatory status 21 days after the start of invasive mechanical ventilation in patients admitted to intensive care units in two Argentine hospitals.

Using a retrospective cohort , models based on logistic regression and machine learning algorithms will be built.

This research seeks to optimize clinical decision-making in the first week of ventilatory support , in order to improve outcomes in critical patients.