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- WITHDRAWN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.
Related Research Topics
Explore scientific publications, clinical data analysis, treatment approaches, and expert-compiled information related to the mechanisms and outcomes of this trial. Click any topic for comprehensive research insights.
Trial Locations
- Locations (1)
Beth Israel Deaconess Medical Center
🇺🇸Boston, Massachusetts, United States
Beth Israel Deaconess Medical Center🇺🇸Boston, Massachusetts, United States