Heart Arrest
Conditions
Brief summary
The purpose of this study is to evaluate the accuracy of medical personnel in their ability to predict the likelihood of non-intensive care (ICU), ward patients to clinically deteriorate (defined as a cardiac arrest, unplanned ICU transfer, or unexpected death)via the use of a clinical judgement-based tool designed for this study, Patient Acuity Rating (PAR), to predict short-term clinical deterioration. We will compare the ability of this tool to predict clinical deterioration compared to accepted physiology-based tools and tools combining judgment and physiology as well as other markers of deterioration such as physician order changes. We will compare the sensitivity, specificity and area under the curve of these combined models to the predictive models including only physiology or clinical judgment. We will assess the correlation between specific physician orders and patient deterioration to determine whether specific clinical activities, such as emergently obtained radiology exams, predict impending deterioration. We hypothesize that PAR will be a useful tool for predicting clinical deterioration across the institution and that it will have a higher average accuracy for predicting clinical deterioration in non-ICU inpatients within 24 hours than the physiology-based tools alone. We further hypothesize that a combined metric which includes both the PAR and the individual physiologic components that comprise physiologic tools will not significantly improve prediction over the PAR alone. We further propose to use PAR to prospectively risk stratify patients for preemptive evaluation by the Rapid Response Team. We hypothesize that intervening on high risk patients by preemptively activating the hospital's Rapid Response Team (to assess and treat patients as needed) will decrease cardiac arrest rates and mortality.
Interventions
OTHERPreemptive Rapid Response Team intervention
Non-ICU inpatients will be randomized on admission to an RRT surveillance group or standard of care. Daily risk prediction scores will be collected for all non-ICU inpatients. Those with high scores, who have been randomized to the surveillance arm, will be included on a list of patients, updated daily, that the Rapid Response Team will receive, with instructions to evaluate and intervene, if required, without waiting for formal activation by the usual channels.
Sponsors
National Heart, Lung, and Blood Institute (NHLBI)
University of Chicago
Study design
Allocation
RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Non-ICU ward inpatients * PAR of 5 or above * Ages 18+ years
Exclusion criteria
* ICU or outpatients * PAR of 4 or lower * Ages 17 years and under
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Mortality and cardiac arrest rates | 15 months | Non-ICU ward inpatients will be randomized on admission to an RRT surveillance group or standard of care. Daily risk prediction scores will be collected for all non-ICU inpatients. Those with high scores, who have been randomized to the surveillance arm, will be included on a list of patients, updated daily, that the Rapid Response Team will receive, with instructions to evaluate and intervene, if required, without waiting for formal activation by the usual channels. Outcomes for these patients will be compared to those with comparable risk scores who were randomized to the control group. |
Secondary
| Measure | Time frame |
|---|---|
| Length of stay | 15 months |
| Cost | 15 months |
| Time to ICU transfer | 15 months |
Countries
United States
Outcome results
None listed