Establishment of Early Diagnosis and Monitoring Model for Sepsis Patients

Summary

In recent years, although the clinical treatment of sepsis has been greatly improved, it is still an important cause of death in ICU patients, and seriously threatens human health. Its predictive biomarkers have become one of the bottlenecks in the field of disease diagnosis, treatment and development of effective drugs to reduce incidence rate and mortality. This will eventually become the key point of treatment for patients with sepsis. In the early stage, the investigators have established a single center sepsis database and sepsis animal model, and made a preliminary exploration on the mechanism and treatment of sepsis. Based on the previous results, this study intends to create a national multi center sepsis apparent database and sample bank, collect the data of sepsis patients' injury characteristics, clinical characteristics, biochemical indicators, micro multidimensional and omics results, etiological characteristics, etc., and integrate them. Using big data combined with machine learning method, the early warning and real-time course monitoring model of traumatic sepsis is established. The completion of this project can achieve early warning of sepsis, real-time monitoring of the progress of the disease, early rational allocation of medical care, and reduce the mortality of sepsis patients.

Conditions

• Sepsis

Interventions

OTHER

infection

this study had two observation cohorts, one that observed sepsis in the presence of infection; the other cohort was monitored during sepsis until septic shock appeared

OTHER

sepsis

this study had two observation cohorts, one that observed sepsis in the presence of infection; the other cohort was monitored during sepsis until septic shock appeared

Sponsors & Collaborators

• Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

  collaborator OTHER

• Second Affiliated Hospital of Xi'an Jiaotong University

  collaborator OTHER

• Tang-Du Hospital

  collaborator OTHER

• First Affiliated Hospital of Harbin Medical University

  collaborator OTHER

• Affiliated Hospital of Qinghai University

  collaborator OTHER

• General Hospital of Ningxia Medical University

  collaborator OTHER

• LanZhou University

  collaborator OTHER

• The Fourth People's Hospital of Nanning

  collaborator OTHER

• First Affiliated Hospital of Xinjiang Medical University

  collaborator OTHER

• First Affiliated Hospital Xi'an Jiaotong University

  lead OTHER

Principal Investigators

• Liu Chang, MD · The First Affiliated Hospital of Xi 'an Jiaotong University

Eligibility

Min Age

16 Years

Max Age

60 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2021-02-02

Primary Completion

2024-02-28

Completion

2024-03-20

Countries

• China

Study Locations