Prediction of Sepsis in Critical Patients
Conditions
Brief summary
Sepsis is a vital issue in critical care medicine, and early detection and intervention are key to survival. We aimed to establish an early warning system for sepsis based on a data integration platform that can be implemented in the ICU.
Interventions
OTHERno intervention
no intervention
Sponsors
Ruijin Hospital
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
14 Years to No maximum
Healthy volunteers
No
Inclusion criteria
Patients who met all of the following criteria were included in the case group: 1. At least 14 years old. 2. Sepsis onset at least 5 hours after ICU admission. 3. Sepsis onset is the first instance since admission to the hospital.
Exclusion criteria
Patients meeting all of the following criteria were included in the control group: 1. At least 14 years old. 2. Patients staying in ICU for at least 5 hours and have not had sepsis in this time. 3. Patients without ICD-9 codes for sepsis (785·52, 995·91, 995·92). 4. SOFA score change is not more than 1 point in an arbitrary continuous 72 hours in the ICU stay.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| confidence index of sepsis occurrence | sepsis occurrence in five hours |
Countries
China
Contacts
Primary ContactRanran Li, PhD
Outcome results
None listed