Predicting Benefits of Early Rehabilitation for ICU Survivors on Mechanical Ventilation Using Clinical Data and Machine Learning

What this Trial Is About

Researchers are investigating how early rehabilitation interventions affect patients who have survived intensive care and received mechanical ventilation. This study aims to develop and validate prediction models using clinical data to identify which ICU survivors may benefit most from early rehabilitation, thereby improving their recovery in daily activities. The study follows guidelines for prognostic model reporting and focuses on measurable improvements in functional independence after rehabilitation. Participants receive early rehabilitation categorized into three stages based on their consciousness, cooperation, and sedation levels. Interventions include therapies such as arousal treatment for consciousness disorders, active and passive mobilization, and pulmonary rehabilitation. These interventions are provided during the ICU stay according to established expert consensus criteria. Throughout the study, participants functional independence is assessed regularly using the Functional Independence Measure scale every other day for up to six weeks or until improvement or ICU discharge. Researchers collect demographic and clinical data to build and validate predictive models using regression and machine learning methods. The models will help optimize timing for rehabilitation interventions to enhance patient recovery and quality of life after ICU discharge.

Predictive Algorithms for Critical Rehabilitation Outcomes