Automated Respiration Rate to Improve Accuracy of the Electronic Cardiac Arrest Risk Triage Score (eCART) Algorithm
| Status: | Completed |
|---|---|
| Conditions: | Cardiology |
| Therapuetic Areas: | Cardiology / Vascular Diseases |
| Healthy: | No |
| Age Range: | 18 - Any |
| Updated: | 5/21/2016 |
| Start Date: | April 2015 |
| End Date: | May 2016 |
Automated Respiration Rate Evaluation to Improve Accuracy of the Early Warning Score Procedure Determined by the Electronic Cardiac Arrest Risk Triage Score (eCART) Algorithm
Currently, breathing rate and heart rate are checked by nursing staff manually every few
hours and entered into a patient's medical record. The investigators are doing this study to
see if a device that will automatically record breathing rate and heart rate every 15
minutes is as accurate as the manual measurement. The investigators will also see if these
measurements, taken every 15 minutes, will help us predict adverse events more quickly and
accurately than the measurements taken every few hours.
hours and entered into a patient's medical record. The investigators are doing this study to
see if a device that will automatically record breathing rate and heart rate every 15
minutes is as accurate as the manual measurement. The investigators will also see if these
measurements, taken every 15 minutes, will help us predict adverse events more quickly and
accurately than the measurements taken every few hours.
Both cardiac arrest and sepsis are primarily identified by vital sign abnormalities.
However, the practice of nurses and their designees routinely checking hospitalized
patients' vital signs every four to eight hours throughout the day and night has remained
essentially unchanged for over one hundred years. While respiratory rate has been shown to
be the most predictive vital sign for adverse events on the wards, it is often inaccurately
measured and poorly documented. For example, a disproportionate amount of respiratory rates
are recorded as either 18 or 20 breaths/min, which is often higher than actual rates.
We have previously statistically derived a physiology-based early warning score, called the
electronic cardiac arrest risk triage score (eCART), using vital signs and lab values. The
eCART was more accurate than scores commonly used in hospitals today. However, the vital
sign values utilized for our score were manually collected by nursing staff every four
hours. Recent technological advances have allowed for high-frequency measurement of pulse
and respiratory rate using a cableless respiration monitor. These devices allow for more
frequent and potentially more accurate measures of respiration, which may enhance the
prediction ability for detecting adverse events on the wards. In addition, the increase in
monitoring frequency may result in earlier detection of adverse events, which could
translate into further improvements in patient outcomes.
A subset of patients may be continuously measured using a telemetry system. The alarms and
ECGs from these patients are monitored by staff in a centralized station in the hospital.
When a clinical event requiring action is observed, a call is made to the unit alerting the
clinical staff that action is necessary. We will collect the continuous measurements
collected from this system and compare these continuous measurements to the high frequency
and manual measurements.
However, the practice of nurses and their designees routinely checking hospitalized
patients' vital signs every four to eight hours throughout the day and night has remained
essentially unchanged for over one hundred years. While respiratory rate has been shown to
be the most predictive vital sign for adverse events on the wards, it is often inaccurately
measured and poorly documented. For example, a disproportionate amount of respiratory rates
are recorded as either 18 or 20 breaths/min, which is often higher than actual rates.
We have previously statistically derived a physiology-based early warning score, called the
electronic cardiac arrest risk triage score (eCART), using vital signs and lab values. The
eCART was more accurate than scores commonly used in hospitals today. However, the vital
sign values utilized for our score were manually collected by nursing staff every four
hours. Recent technological advances have allowed for high-frequency measurement of pulse
and respiratory rate using a cableless respiration monitor. These devices allow for more
frequent and potentially more accurate measures of respiration, which may enhance the
prediction ability for detecting adverse events on the wards. In addition, the increase in
monitoring frequency may result in earlier detection of adverse events, which could
translate into further improvements in patient outcomes.
A subset of patients may be continuously measured using a telemetry system. The alarms and
ECGs from these patients are monitored by staff in a centralized station in the hospital.
When a clinical event requiring action is observed, a call is made to the unit alerting the
clinical staff that action is necessary. We will collect the continuous measurements
collected from this system and compare these continuous measurements to the high frequency
and manual measurements.
Inclusion Criteria:
- over 18 years
- able to provide written consent
Exclusion Criteria:
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