Predictive Model for Postoperative Mortality

Khon Kaen University

Status: Completed

Conditions: Postoperative Complications

Treatments: Procedure: Emergency surgery

Study type: Observational

Funder types: Other

Identifiers

NCT02947789

HE581131

Details and patient eligibility

About

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.

Full 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.

Enrollment: 740 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Emergency surgery
• Age => 18 years

Exclusion criteria

• Caesarean section
• Incomplete medical record

Trial design

740 participants in 1 patient group

Postoperative mortality within 3 days

Description:

Group 1: Patients undergoing emergency surgery with postoperative mortality within 3 days Group 2: Patients undergoing emergency surgery without postoperative mortality within 3 days

Treatment:

Procedure: Emergency surgery