Severe Sepsis Clinical Trial
Official title:
Effect of a Sepsis Prediction Algorithm on Patient Mortality, Length of Stay, and Readmission
NCT number | NCT03960203 |
Other study ID # | 05172019 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | January 2017 |
Est. completion date | June 2018 |
Verified date | May 2019 |
Source | Dascena |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
In this clinical outcomes analysis, the effect of a machine learning algorithm for severe sepsis prediction on in-hospital mortality, hospital length of stay, and 30-day readmission was evaluated.
Status | Completed |
Enrollment | 75147 |
Est. completion date | June 2018 |
Est. primary completion date | June 2018 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - All patients over the age of 18 presenting to the emergency department or admitted to an inpatient unit at the participating facilities were automatically included for clinical outcomes analysis Exclusion Criteria: - Patients under the age of 18 |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Dascena |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | In-hospital mortality | Rate of in-hospital mortality based on SIRS criteria | 1 year | |
Secondary | Hospital length of stay | Duration of hospital length of stay in days based on SIRS criteria | 1 year | |
Secondary | 30-day readmissions | Rate of patient readmissions within 30 days | 1 year |
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