Secondary analysis reveals a machine learning model identifies estimated benefits of mobilisation in critically ill patients, suggesting a need for tailored approaches.
Key Points
Enhanced mobilisation improves outcomes for mechanically ventilated patients, indicating personalisation may offer benefits.
Analysis determined patient-specific benefits & harms using a machine learning model.
Secondary analysis of the TEAM trial data provided insights into early intervention.
Future work needed to validate individualised mobilisation strategies in the ICU.