Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT05171595 |
Other study ID # |
ST-Deviation WARD |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
February 20, 2018 |
Est. completion date |
June 9, 2020 |
Study information
Verified date |
January 2022 |
Source |
Rigshospitalet, Denmark |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
This study primarily aims to describe the frequency of significant ST-deviations, defined as
ECG-ST-deviations <-0.255 or >0.245 mV for a minimum duration of 30 minutes as measured by a
single-lead ECG in patients admitted with AECOPD or following major abdominal surgery.
Secondarily we will describe the frequency of ST-deviations <-0.255 or >0.245 mV for a
minimum duration of 1, 10 and 20 minutes, respectively, as well as for patients with
ST-deviations <-0.1 or >0.1 mV for a minimum duration of 1, 10, 20 and 30 minutes,
respectively. Lastly, we will investigate the association between ST-deviations and
subsequent myocardial injury while adjusting for known risk factors.
Description:
Background:
Assesment of wireless ECG-monitoring devices is essential for patient monitoring as it
enables activity and out-of-hospital monitoring. Former studies have found a random variation
for ST-deviations between wireless single-lead ECG and 12-lead ECG, which suggests that
clinical monitoring of ST-deviations by single-lead ECG must be corrected for this to
minimize false positive cases. Thus, we aimed to assess how a corrected limit of agreement
for ST-deviations affects the ability to detect true myocardial ischemia by comparing
thresholds to troponin elevations.
Methods:
This study sought to analyze data from two WARD cohort studies (NCT03491137) and
(NCT03660501). Patients were included at Rigshospitalet and Bispebjerg Hospital from February
2018 to September 2020. The Surgery and COPD studies consisted of 505 and 202 patients,
respectively, who were hospitalized with AECOPD or scheduled for elective major abdominal
surgery lasting > 2 hours. All patients were monitored with wireless equipment, which
continuously measured vital signs. The continuous wireless monitoring used in this study
consisted of a single-lead ECG patch (Isansys Life Touch patch) which consists of two ECG
electrodes placed on the left side of the patients' thorax. The patch measures respiratory
rate (RR), heart rate (HR), heart rate variability (HRV) and electrocardiogram (ECG)s.
Another monitoring device was the plasma concentration of high-sensitive cardiac troponin T
(hsTnT, Cobas 8000, e801 module, Diagnostics Roche). In this study, patients were divided
into a myocardial injury group with TnT elevations (of 20-64 ng/L with an absolute change of
≥ 5 ng/L, or a hsTnT level ≥65 ng/L, both evaluated as due to ischemic etiology) and a group
with no myocardial injury.
Analysis:
Baseline characteristics of patients undergoing major abdominal surgery and patients admitted
with AECOPD with and without myocardial injury will be summarized in frequency tables
including Using descriptive statistics, we will describe the occurrence of ST-segment
deviations in the single-lead (Lifetouch) ECG in patients with and without myocardial injury
as well as the association between ST-deviation and subsequent myocardial injury, which will
be adjusted for known risk factors; age, gender, BMI, daily smoker (never-, previous-,
current smoker), alcohol consumption (none, below- or above recommendations), ASA
classification (ASA 1,2,3,4), history of myocardial infarction, history of diabetes mellitus,
history of chronic heart failure. Furthermore, the sensitivity and specificity of continuous
wireless single-lead ECG with the applied threshold of <-0.255 mV and > 0.245 mV will be
determined. Receiver operating characteristics (ROC) analyses will be made to determine which
type of ST-deviation and which specific threshold value was most sensitive for TnT
elevations. Through ROC analyses it will also be examined how different variations of
durations affect the thresholds' sensitivity and specificity. Statistical analysis will be
performed using statistical software SPSS.