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| Name | Class |
|---|---|
| Swiss Personalized Health Network (SPHN) | UNKNOWN |
| Personalized Health and Related Technologies (PHRT) initiative of ETH Zürich | UNKNOWN |
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This multi-center study is to focus on patients with sepsis in Intensive Care Units (ICUs) in order to better understand the complex host-pathogen interaction and clinical heterogeneity associated with sepsis. Understanding this heterogeneity may allow the development of novel diagnostic approaches. Data from patients will be analyzed using state-of-the art analytical algorithms for biomarker discovery including machine learning and multidimensional mathematical modelling to explore the large datasets generated. In order to discover digital biomarkers for the study endpoints a case-control study design will be used to compare data patterns from patients with sepsis (cases) and those without sepsis (controls).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| patients with sepsis (cases) | patients who developed or were admitted with sepsis to the ICU (cases) |
| |
| patients without sepsis (controls) | patients who did not develop sepsis (controls). |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| compare data patterns by data-driven algorithms to determine sepsis | Other | compare data patterns by data-driven algorithms including machine learning and multi-dimensional modelling to reliably determine sepsis |
| Measure | Description | Time Frame |
|---|---|---|
| sepsis-related mortality (sensitivity) | Algorithm to predict sepsis-related mortality (sensitivity) | time- series data collected from hospital entry until maximum 12 months after hospital exit (no exact time point specified) |
| sepsis-related mortality (specificity) | Algorithm to predict sepsis-related mortality (specificity) | time- series data collected from hospital entry until maximum 12 months after hospital exit (no exact time point specified) |
| Determination of sepsis | Algorithm to determine sepsis at an early stage (at least 12 hours before classical definitions) | time- series data collected from hospital entry until hospital exit; an average of 1 month (no exact time point specified) |
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Inclusion Criteria:
Inclusion Criteria (cases)
Inclusion Criteria (controls)
Exclusion Criteria:
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ICU patients on a Swiss University Hospital ICU from 01.08.2019
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Adrian Egli, PD Dr. | Contact | +41 61 556 5749 | adrian.egli@usb.ch |
| Name | Affiliation | Role |
|---|---|---|
| Adrian Egli, PD Dr. | Clinical Microbiology, University Hospital Basel | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Clinical Microbiology, University Hospital Basel | Recruiting | Basel | 4031 | Switzerland |
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| compare data patterns by data-driven algorithms to predict sepsis-related mortality | Other | compare data patterns by data-driven algorithms including machine learning and multi-dimensional modelling to to predict sepsis-related mortality |
|
| Infectious Diseases and Hospital Epidemiology, University Hospital Basel | Recruiting | Basel | 4031 | Switzerland |
|
| Medical Intensive Care Unit; University Hospital Basel | Recruiting | Basel | 4031 | Switzerland |
|
| Surgical Intensive Care Unit, University Hospital Basel | Recruiting | Basel | 4031 | Switzerland |
|
| Institute for Infectious Diseases, University of Bern | Recruiting | Bern | 3001 | Switzerland |
|
| Division Infectious Diseases, University Hospital Bern | Recruiting | Bern | 3010 | Switzerland |
|
| Intensive Care Medicine, University Hospital Bern | Recruiting | Bern | 3010 | Switzerland |
|
| Division Bacteriology Laboratory, University Hospital Geneva | Recruiting | Geneva | 1205 | Switzerland |
|
| Division Infectious Diseases, University Hospital Geneva | Recruiting | Geneva | 1205 | Switzerland |
|
| Intensive Care Medicine, University Hospital Geneva | Recruiting | Geneva | 1205 | Switzerland |
|
| Division Intensive Care Medicine, University Hospital Lausanne | Recruiting | Lausanne | 1011 | Switzerland |
|
| Institute of Microbiology, University Hospital Lausanne | Recruiting | Lausanne | 1011 | Switzerland |
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| Service Infectious Diseases, University Hospital Lausanne | Recruiting | Lausanne | 1011 | Switzerland |
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| Institute for Medical Microbiology, University Hospital Zurich | Not yet recruiting | Zurich | 8006 | Switzerland |
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| Division Infectious Diseases, University Hospital Zurich | Not yet recruiting | Zurich | 8091 | Switzerland |
|
| Institute for Intensive Medicine, University Hospital Zurich | Not yet recruiting | Zurich | 8091 | Switzerland |
|
| ID | Term |
|---|---|
| D018805 | Sepsis |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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