Comparing an Automated to a Conventional Sepsis Clinical Prediction Rule
- Conditions
- Sepsis
- Registration Number
- NCT01505478
- Lead Sponsor
- Beth Israel Deaconess Medical Center
- Brief Summary
The investigators will conduct a prospective cohort study to compare an automated sepsis severity score to a conventional clinical prediction rule to risk stratify patients admitted from the emergency department (ED) with suspected infection for 28 day in-hospital mortality.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- WITHDRAWN
- Sex
- All
- Target Recruitment
- Not specified
- All consecutive adult (age 18 or older) Emergency Department (ED) patients during the study period that have been admitted from the ED and identified by the treating clinician to have a suspected infection at the time of ED disposition will comprise our study population.
- No patients will be excluded from the study.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 28 day in-hospital mortality The primary endpoint is the AUC of a model to predict 28 day all cause in-hospital mortality. Patients discharged or transferred to another hospital before 28 days will be assumed to be alive at 28 days.
- Secondary Outcome Measures
Name Time Method ICU Admission The secondary endpoint is ICU admission from the ED or within 24 hours from the floor.
Trial Locations
- Locations (1)
Beth Israel Deaconess Medical Center
🇺🇸Boston, Massachusetts, United States