Sepsis Infections and Infestations
Conditions
Interventions
To define acute deterioration we will take a pragmatic approach and look at increase in the NEWS score within the preceding 24-hour period. We will look at the time of the worst NEWS score and use tho
Sponsors
Aneurin Bevan University Health Board
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: For the study day (0800 to 0759), consecutive patients presenting to the emergency department (ED) and acute hospital wards with sepsis related admission and patients presenting to the emergency department (ED) and acute hospital wards with acute ongoing sepsis will be enrolled. To be eligible patients must have all of the following: 1. Must be admitted or transferred to either the ED or hospital ward or critical care area. 2. Have a NEWS (National Early Warning) score of 3 or above 3. Have a high clinical suspicion of an infection 4. Have sepsis as defined by: 4.1. Either as infection together with two or more SIRS criteria (2012 definition) 4.2. Or as suspected or documented infection AND a proxy for organ dysfunction (i.e. acute increase of =2 SOFA (Sequential Organ Failure Assessment) points)
Exclusion criteria
Exclusion criteria: 1. Patients less than 18 years of age 2. Patients in acute Mental Health wards
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Prevalence of sepsis by both the 2012 Consensus definitions and the 3rd International Consensus Definitions. Measured on the day of the study in the Emergency Departments and general hospital wards. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Evaluation of the microbiology of sepsis linking the patient episode to the Public Health Wales/Public Health England microbiology database. Evaluated after 30 days of study entry. 2. Assessment of practice gaps in care of patients with sepsis by measuring compliance with the Sepsis 6 bundle. 3. To evaluate the impact of sepsis on patient outcome, particularly on long-term healthcare utilization (2 years post discharge) and quality of life (12 months post discharge) using linked healthcare data from the SAIL database. Mortality will be measured at 30, 90 days and 1 and 2 years following study entry. Quality of life will be assessed using the EQ-5D questionnaire during a telephone interview at 12 months. | — |
Countries
United Kingdom, Wales
Contacts
Public ContactTamas Szakmany
Outcome results
None listed