[Weaning from Ventilation].

Area of Science:

• Intensive care medicine
• Respiratory physiology
• Mechanical ventilation

Background:

• Weaning from mechanical ventilation is critical in ICUs, with rising numbers of patients needing prolonged support.
• Early identification of difficult weaning is essential for better outcomes and avoiding long-term ventilation.
• Predictive parameters like diaphragm ultrasound and biomarkers are increasingly important.

Purpose of the Study:

• To review current strategies and emerging approaches for successful weaning from mechanical ventilation.
• To highlight the role of diaphragm function and predictive parameters in weaning success.
• To emphasize the importance of a structured, interprofessional approach to weaning.

Main Methods:

• Review of recent evidence on predictive parameters for weaning.
• Discussion of established weaning protocols including spontaneous breathing trials and sedation optimization.
• Exploration of emerging technologies like AI-assisted diaphragm ultrasound and automated weaning algorithms.

Main Results:

• Diaphragm dysfunction is a key factor in weaning failure; controlled ventilation can cause atrophy.
• Noninvasive ventilation post-extubation can reduce reintubation in high-risk patients.
• Newer ventilator modes and AI-assisted tools show potential for improving weaning success.

Conclusions:

• Successful weaning is a multifactorial, interprofessional process requiring early initiation and structured assessment.
• Monitoring respiratory drive and effort, particularly diaphragm function, is crucial.
• A protocol-based approach integrating physiological monitoring, early mobilization, and targeted therapies improves patient outcomes and quality of life.