Prediction Study of Complications After Severe Trauma (PSCAT)

Jiang Jianxin

Status: Enrolling

Conditions: Multiple Organ Dysfunction Syndrome; Trauma; Sepsis

Study type: Observational

Funder types: Other

Identifiers

NCT01713205

2012BAI11B01 (Other Grant/Funding Number)

Jiang-2012BAI11B01

Details and patient eligibility

About

The purpose of this study is to evaluate a clinically and economically most effective diagnostic algorithm for prediction of post-traumatic complications in a multicenter sample of severe trauma patients.

Full description

Trauma is a major public health problem worldwide, ranking as the fourth leading cause of death. One of the most serious complications of major trauma is sepsis, which often induces sequential multiple organ dysfunction syndrome (MODS). There were still no specific biomarkers to predict the susceptibility of complications and outcomes, which leading to the limited prevention methods and the high mortality rate of severe trauma patients. Previous studies from our and other group have found some sepsis and MODS predictors, including genetic polymorphisms, serum cytokines and cell-surface markers. The purposes of this multi-center observational study is to select biomarkers and evaluate a clinically and economically most effective diagnostic algorithm for prediction of complications in severe trauma patients.

Enrollment: 3,500 estimated patients

Sex: All

Ages: 18 to 65 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• age> 16 years old and <65 years old
• severe trauma patients (AIS ≧3 or ISS≧16)
• admission within 48 hours after injury
• given and signed informed consent

Exclusion criteria

• died within 48h after injury
• being pregnant or lactating
• chronic organ dysfunction comorbidities
• long-term anticoagulant therapy before injury
• presence of immunosuppression before injury