Sepsis Clinical Trial
Official title:
Sepsis: From Syndrome to Personalized Care
This is a prospective, observational study designed to examine the performance of biomarkers, molecular biological methods and other analysis in blood from patient with suspected sepsis in the Emergency department, as well as identidying novel sepsis endotypes. Around 1500 patients will be enrolled.
Status | Recruiting |
Enrollment | 1500 |
Est. completion date | December 31, 2026 |
Est. primary completion date | July 31, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - admitted to emergency department OUH, Ullevål. - managed by the medical rapid response team or the sepsis rapid response team Exclusion Criteria: - Not given informed consent by patient or next of kin (if patient is not able to) |
Country | Name | City | State |
---|---|---|---|
Norway | Oslo University Hospital | Oslo |
Lead Sponsor | Collaborator |
---|---|
Oslo University Hospital |
Norway,
Christensen EE, Binde C, Leegaard M, Tonby K, Dyrhol-Riise AM, Kvale D, Amundsen EK, Holten AR. DIAGNOSTIC ACCURACY AND ADDED VALUE OF INFECTION BIOMARKERS IN PATIENTS WITH POSSIBLE SEPSIS IN THE EMERGENCY DEPARTMENT. Shock. 2022 Oct 1;58(4):251-259. doi: — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Sepsis endotypes | Comprehensively characterize the host response to infection in patients presenting to the ED with sepsis and identify endotypes by unsupervised machine learning methods | 3 years | |
Other | Exteranal validation of sepsis endotypes | Externally validate host response profiles and multi-omic sepsis endotypes in two international cohorts. | 3 years | |
Other | Temperal profile of host response | Describe how host response profiles develop in the days after hospital admission and initiation of treatment. | 3 years | |
Other | E. coli influences the host respons | Characterize how genetic variation within E. coli influences the host response to sepsis | 3 years | |
Primary | Number of sepsis patient with elevated plasma-calprotectin | Sensitivity of plasma-calprotectin for detecting infections in critical ill medical patients in the Emergency department. | One year | |
Primary | Area under the curve receiver operator characteristic (AUC - ROC) for inflammation biomarkers for detecting infection in critically ill patients. | Comparing area under the curve receiver operator characteristic (AUC - ROC) for calprotectin, pro-calcitonin, CRP and other biomarkers for detecting infections in critically ill patients in the Emergency department. | One year | |
Primary | Number of sepsis patient with bacterial DNA detected in blood by molecular biological tests. | The performance of rapid molecular biological tests for detecting bacterial DNA in full blood in critically ill medical patients, compared to current state-of-the art diagnostics (blood culture). | One year | |
Secondary | Concentration of biomarkers in blood. | Explore how the concentration of biomarkers of inflammation change during the course of the disease. | One year |
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