Comparing an Automated to a Conventional Sepsis Clinical Prediction Rule

Beth Israel Lahey Health

Status: Withdrawn

Conditions: Sepsis

Study type: Observational

Funder types: Other; Other U.S. Federal agency

Identifiers

NCT01505478

2011P000356

Details and patient eligibility

About

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.

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• 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.

Exclusion criteria

• No patients will be excluded from the study.

Trial design

0 participants in 1 patient group

Patients admitted with infection

Description:

All consecutive ED patients during the study period that have been admitted and identified to have a suspected infection at ED disposition using a data collection tool