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| Name | Class |
|---|---|
| New York University | OTHER |
| United States Department of Defense | FED |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients admitted with infection | 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 |
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| Measure | Description | Time Frame |
|---|---|---|
| 28 day in-hospital mortality | The primary endpoint is the AUC of a model to predict 28 day all cause in-hospital mortality. Patients discharged or transferred to another hospital before 28 days will be assumed to be alive at 28 days. |
| Measure | Description | Time Frame |
|---|---|---|
| ICU Admission | The secondary endpoint is ICU admission from the ED or within 24 hours from the floor. |
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Inclusion Criteria:
Exclusion Criteria:
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Patients admitted from the Emergency Department with suspected infection.
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| Name | Affiliation | Role |
|---|---|---|
| Steven Horng, MD | Beth Israel Deaconess Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Beth Israel Deaconess Medical Center | Boston | Massachusetts | 02215 | United States |
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| ID | Term |
|---|---|
| D018805 | Sepsis |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
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| D013568 |
| Pathological Conditions, Signs and Symptoms |