CT-based Model for Predicting Prolonged Weaning in Patients With Abdominal Trauma
- Conditions
- Wounds and InjuriesVentilation Therapy; Complications
- Registration Number
- NCT06339073
- Lead Sponsor
- Jinling Hospital, China
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1023
- (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.
- (1) low-quality CT images;
- (2) history of mental illness.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Prolonged mechanical ventilation through whole hospitalization of each participant, an average of 25 days Prolonged mechanical ventilation was defined as length of mechanical ventilation \>7 days
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
the General Surgical Department of Jinling Hospital
🇨🇳Nanjing, Jiangsu, China
the General Surgical Department of Jinling Hospital🇨🇳Nanjing, Jiangsu, China