Sepsis Pre-Alert Monitoring Intervention: Study to Investigate Targeted Enhanced Monitoring for Sepsis
| Status: | Enrolling by invitation |
|---|---|
| Conditions: | Hospital |
| Therapuetic Areas: | Other |
| Healthy: | No |
| Age Range: | 18 - 110 |
| Updated: | 4/6/2019 |
| Start Date: | April 1, 2019 |
| End Date: | March 2022 |
Sepsis Pre-Alert Monitoring Intervention: A Phase I Randomized, Single Blind Study to Investigate Targeted Enhanced Monitoring for Sepsis
Sepsis is a leading cause of death worldwide, and contributes to approximately 750,000
hospitalizations per year, a third of which may die. International guidelines recommend
timely interventions, including cultures, fluid resuscitation and antibiotics. Following
guideline bundles is associated with a decrease in mortality. Key to timely intervention is
timely diagnosis.
Using the Epic sepsis predictive analytic tool, investigators will trigger vital sign and
delirium monitoring in patients determined to be at increased risk for developing future
sepsis.
The primary objective of this study is to demonstrate reduced mortality in patients for whom
the pre-sepsis algorithm threshold is met, and who enhanced monitoring.
hospitalizations per year, a third of which may die. International guidelines recommend
timely interventions, including cultures, fluid resuscitation and antibiotics. Following
guideline bundles is associated with a decrease in mortality. Key to timely intervention is
timely diagnosis.
Using the Epic sepsis predictive analytic tool, investigators will trigger vital sign and
delirium monitoring in patients determined to be at increased risk for developing future
sepsis.
The primary objective of this study is to demonstrate reduced mortality in patients for whom
the pre-sepsis algorithm threshold is met, and who enhanced monitoring.
A means to identify patients before they become ill may improve the effectiveness of
established therapies.Epic's electronic medical record (Epic systems, Verona, WI) contains a
surveillance tool that uses predictive analytics to identify patients at risk of becoming
septic four hours after the alert becomes active. This affords the opportunity to intervene
sooner, but it remains unclear what the best course of action should be in a population at
risk of sepsis, only some of which may go on to develop the illness. We propose an automatic
intervention, consisting of enhanced monitoring, that is tied to the alert. No therapeutics
will be mandated. Instead, additional monitoring information will lead to faster diagnosis
and therapy, and improved clinical outcomes.
established therapies.Epic's electronic medical record (Epic systems, Verona, WI) contains a
surveillance tool that uses predictive analytics to identify patients at risk of becoming
septic four hours after the alert becomes active. This affords the opportunity to intervene
sooner, but it remains unclear what the best course of action should be in a population at
risk of sepsis, only some of which may go on to develop the illness. We propose an automatic
intervention, consisting of enhanced monitoring, that is tied to the alert. No therapeutics
will be mandated. Instead, additional monitoring information will lead to faster diagnosis
and therapy, and improved clinical outcomes.
Inclusion Criteria:
- any inpatient at NYU Langone Health System
Exclusion Criteria:
- not an inpatient at NYU Langone Health System
We found this trial at
1
site
550 1st Ave
New York, New York 10016
New York, New York 10016
(212) 263-7300
Principal Investigator: Mark Nunnally, MD
Phone: 646-501-2320
New York University School of Medicine NYU School of Medicine has a proud history that...
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