Predict Sepsis; the Predictive Value of Bedside Measures in the Ambulance
NCT03249597 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 956
Last updated 2020-10-27
Summary
Sepsis is a condition with a high mortality. Septic patients are frequently difficult to identify because of their non-specific presentations. There is also a low sensitivity of clinical judgment among health care personnel, and of existing screening tools, which are in turn typically based on vital parameters. Despite prior research, no unique sepsis biomarker has been identified so far.
There is a need for new strategies to identify sepsis which do not rely on vital parameters and traditional laboratory blood tests alone. The hypothesis of the investigators is that a combination of clinical variables measurable in the ambulance can be used to predict sepsis.
The aim of the current study is to determine the predictive value of keywords related to symptom presentation, vital parameters and point-of-care (POC) blood tests, alone and in combination, with respect to the outcome sepsis.
The study is performed in the Stockholm ambulance setting from April 2017. A total of 956 adult non-trauma patients will be included.
Conditions
- Sepsis
- Sepsis Syndrome
- Sepsis, Severe
Interventions
- DIAGNOSTIC_TEST
-
Blood test: Glukos, SuPAR, Laktat and HBP
Four blood tests described in the section "Biospecimen Description" are analyzed within the main study; Glukos, SuPAR, Laktat and HBP.
Sponsors & Collaborators
-
Örebro University, Sweden
collaborator OTHER - lead OTHER
Principal Investigators
-
Lisa Kurland, MD, PhD · Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2017-04-03
- Primary Completion
- 2018-08-30
- Completion
- 2018-08-30
Countries
- Sweden
Study Locations
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