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Following cardiac surgery, 50% to 60% of patients with congenital heart disease will experience an arrhythmia. These arrhythmias are associated with increased morbidity and mortality. Therefore, rapid and accurate identification is paramount to the improvement of patient outcome. We hypothesize that the AtriAmp, a device which allows atrial electrogram (AEG) display on the bedside monitors, will increase provider accuracy and confidence in arrhythmia diagnosis. A prospective observational study. Electrograms were collected from post-operative patients from the bedside monitors surface ECG and an AEG using the AtriAmp. A 12-question online survey was given to critical care and cardiology providers at 9 different programs across the country as well as being posted to the AAP SOCC fall newsletter. Six questions displayed signals from only the surface leads, while the other 6 showed the same arrhythmias with an AEG obtained from the AtriAmp. Answers were then evaluated for confidence and accuracy. A paired -test along with mixed method modeling was used to assess the data. Cardiac pediatric ICU. Providers in pediatric cardiology and pediatric critical care were evaluated on their ability to diagnose arrhythmias on surface ECG and AEG obtained from bedside monitor. The accuracy and confidence of diagnosis of both surface and AEG signals were evaluated through an on-line survey. Eighty-eight providers completed the survey. The study showed that interpreting with the AtriAmp signal, compared to the surface ECG only, significantly increased the accuracy ( = .002) and confidence in provider rhythm diagnosis ( < .001). Junctional ectopic tachycardia, sinus tachycardia, and complete heart block had the most significant increase in accuracy of diagnose when using the AtriAmp signal ( < .001, = .002, = .010, respectively). Use of the AtriAmp increased provider accuracy and confidence in post-operative rhythm diagnosis when compared to diagnosis using the surface electrograms only.
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Source |
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http://dx.doi.org/10.1177/08850666231164613 | DOI Listing |
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