Shock Clinical Trial
— HIIOfficial title:
Hemodynamic Instability Rules Based Advisor: The Impact to Care With a New Predictive Indicator (HIRBA 2.0)
Verified date | May 2019 |
Source | Philips Healthcare |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Philips has developed a new algorithm, called Hemodynamic Instability Rules Based Advisor
(HIRBA 2.0) system, for the prediction of hemodynamic instability in critically ill patients,
who were not previously known to be at risk. This algorithm provides with the numerical index
- Hemodynamic Instability Index (HII) and its trend which are calculated from existing real
time data derived from patient's current hospital stay such as heart rate and blood pressure,
labs, and Admission - Discharge- Transfer (ADT) data to help healthcare providers obtain
information about patient's status and make clinical decisions.
The aim of the study is to determine if the patient clinical information, displayed in the
form of HII, can prompt possible patient hemodynamic status change and trigger earlier
clinical care team response. We hypothesize that this real-time information on hemodynamic
instability and earlier clinical decision making will lead to reduced length of stay (LOS)
and ICU mortality relative to standard care practice. Study will also identify if the use of
the Philips new algorithm called Hemodynamic Instability Rules Based Advisor (HIRBA 2.0) can
improve outcomes for patients admitted to the intensive care units (ICUs).
During this study, upon patient admission to the ICU clinical data collection will begin.
Data that will be pulled during the study includes: vital signs, medications, reason for
admission to the ICU, treatments that patient may receive.
Research subjects will not be asked to do anything as far as specific activities expected to
be accomplished during study participation. Subjects will be involved in the study only
during their stay in ICU. HII information will be visible to clinicians, taking care of this
patient only during his/ her stay in the study unit.
Study team will collect patient information and have the ability to view the HII for
subjects.
Once patient leaves the ICU the study team will collect information on the remainder of
patient's hospital course including date of hospital discharge. All collected data will be
then fully de-identified and released to Philips for analysis.
Status | Terminated |
Enrollment | 127 |
Est. completion date | November 18, 2016 |
Est. primary completion date | November 18, 2016 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - All patients admitted to the study unit will be invited to participate in the study. - Study subject has to stay in study unit for at least 12 hours. Exclusion Criteria: - Patients who were discharged from study unit earlier then 12 hours after admission. - Patients who are or become dependent on extracorporeal membrane oxygenation (ECMO) support. |
Country | Name | City | State |
---|---|---|---|
United States | Alpert Medical School of Brown University, Rhode Island Hospital, Medical Intensive Care Unit | Providence | Rhode Island |
United States | Washington University in St. Louis School of Medicine, Department of Surgery, Section of Acute and Critical Care Surgery | Saint Louis | Missouri |
Lead Sponsor | Collaborator |
---|---|
Philips Healthcare | Philips Research |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Intensive Care Unit (ICU) Length of Stay | From time of the study subject admission to the unit until the day of discharge of that same study subject from the unit, assessed up to 12 months. | ||
Secondary | Intensive Care Unit (ICU) Mortality | From date of randomization of the study subject until the date of ICU discharge, an average of 6.7 days.. |
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