CT-based Model for Predicting Prolonged Weaning in Patients With Abdominal Trauma

Jinling Hospital, China

Status: Completed

Conditions: Ventilation Therapy; Complications; Wounds and Injuries

Treatments: Device: mechanical ventilation

Study type: Observational

Funder types: Other

Identifiers

NCT06339073

2021NZKY-045-01

Details and patient eligibility

About

Critically ill patients often require tracheal intubation for mechanical ventilation, and timely weaning is crucial for airway management and reducing complications. However, there is currently a lack of an effective tool to predict weaning time in critically ill patients. This retrospective study established an effective nomogram model for predicting the time of weaning from mechanical ventilation in abdominal trauma patients by considering multiple perspectives. The model has been validated and demonstrated good performance in terms of discrimination, calibration, and clinical utility. Moreover, the model can effectively predict the prognosis of critically ill patients. The findings of this study have important implications for guiding respiratory management in clinically critically ill patients, particularly trauma patients.

Enrollment: 1,023 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• (1) with information on survival status and time;
• (2) aged 18-80 years;
• (3) admitted to ICU;
• (4) with abdominal CT performed within 1-week post-trauma;
• (5) use of mechanical ventilation.

Exclusion criteria

• (1) low-quality CT images;
• (2) history of mental illness.