Predictive Model for Postoperative Mortality
- Conditions
- Postoperative Complications
- Interventions
- Procedure: Emergency surgery
- Registration Number
- NCT02947789
- Lead Sponsor
- Khon Kaen University
- Brief Summary
Surgery has risk of morbidity and mortality. Risk factors include: patient factors; surgical factors; and anesthetic factors. The risk is much higher in emergency cases. The study of relevant risk factors can lead to improvement in patient management and reduction in mortality.
- Detailed Description
Objective: To identify risk factors for postoperative mortality within 3 days in adult patients undergoing emergency surgery and construct a predictive model.
Methods: This will be a retrospective, exploratory and analytical study. All medical records of adult patients undergoing emergency surgery between January 2013 to December 2014 will be used to analyze for relevant risk factors using binary logistic regression analysis. A predictive model to predict postoperative morbidity within 3 days will be constructed.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 740
- Emergency surgery
- Age => 18 years
- Caesarean section
- Incomplete medical record
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Postoperative mortality within 3 days Emergency surgery Group 1: Patients undergoing emergency surgery with postoperative mortality within 3 days Group 2: Patients undergoing emergency surgery without postoperative mortality within 3 days
- Primary Outcome Measures
Name Time Method Postoperative mortality within 3 days through study completion, an average of 1 week Patient die postoperatively within 3 day3
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Faculty of Medicine, Khon Kaen University
🇹ðŸ‡Khon Kaen, Thailand