Diagnostic yield of asymptomatic arrhythmias detected by mobile cardiac outpatient telemetry and autotrigger looping event cardiac monitors

Derkac, Wayne M.; Finkelmeier, Jeffrey R.; Horgan, Daniel J.; Hutchinson, Mathew D.

doi:10.1111/jce.13342

Cited by 18 publications

(8 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its algorithm to detect arrhythmia is based on rate, rhythm irregularity, QRS morphology, and P wave analysis 44. In an RCT that included 266 patients with symptoms suggestive of a significant cardiac arrhythmia who were monitored for up to 30 days, this system has been shown to detect significantly more arrhythmias, including atrial fibrillation and atrial flutter (23%), than standard external loop recorders (8%) (table 2).…”

Section: Newer Detection Methodsmentioning

confidence: 99%

“…29 Most of the additional arrhythmias detected by the CardioNet MCOT have no temporally related symptoms, which is not unexpected as the external loop recorder with an auto-trigger algorithm was used in only 16% of the patients. Although data from retrospective analyses suggest that this system may still detect more arrhythmias than a loop recorder with an auto-trigger function,2944 conclusive data are still lacking.…”

Section: Newer Detection Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Newer technologies for detection of atrial fibrillation

Zungsontiporn

Link

2018

BMJ

View full text Add to dashboard Cite

Atrial fibrillation is a common arrhythmia that is associated with increased risk of stroke, which can be reduced with appropriate anticoagulation treatment. However, it remains underdiagnosed in contemporary clinical practice using conventional detection methods, resulting in missed opportunities to implement appropriate treatment. Newer technologies developed in recent years can potentially enhance the detection of atrial fibrillation and overcome certain limitations of the conventional methods. However, uncertainties remain about their use and the significance of atrial fibrillation detected by some of these newer technologies. This review examines the evidence supporting the use of some of these technologies and evaluates their applications in certain clinical scenarios.

show abstract

Section: Newer Detection Methodsmentioning

confidence: 99%

Section: Newer Detection Methodsmentioning

confidence: 99%

Newer technologies for detection of atrial fibrillation

Zungsontiporn

Link

2018

BMJ

View full text Add to dashboard Cite

show abstract

“…There are other ambulatory ECG solutions with software providing HRV analysis 30. A more complicated method of ECG analysis with potential for assessing sympathetic nervous system activity requires 3D highresolution ECG recordings 31. ST and T wave portions of the ECG are subject to rhythmic modulations in the LF range (≤0.1 Hz).…”

mentioning

confidence: 99%

Heart Rate Variability: An Old Metric with New Meaning in the Era of using mHealth Technologies for Health and Exercise Training Guidance. Part One: Physiology and Methods

Singh¹,

Moneghetti²,

Christle³

et al. 2018

Arrhythmia &Amp; Electrophysiology Review

124

View full text Add to dashboard Cite

The autonomic nervous system plays a major role in optimising function of the cardiovascular (CV) system, which in turn has important implications for CV health. Heart rate variability (HRV) is a measurable reflection of this balance between sympathetic and parasympathetic tone and has been used as a marker for cardiac status and predicting CV outcomes. Recently, the availability of commercially available heart rate (HR) monitoring systems has had important CV health implications and permits ambulatory CV monitoring on a scale not achievable with traditional cardiac diagnostics. The focus of the first part of this two-part review is to summarise the physiology of HRV and to describe available technologies for HRV monitoring. Part two will present HRV measures for assessing CV prognosis and athletic training.

show abstract

“…Thus, the device offers near continuous, real-time, heart rhythm monitoring, that is only interrupted for sensor recharging. The MCOT monitor is able of detecting AF ( 89 ) with a higher diagnostic yield, compared to loop event recorders, especially for asymptomatic AF episodes ( 54 , 58 ). In studies assessing extended rhythm monitoring in patients with cryptogenic stroke, AF was diagnosed in 17–23% of the participants using the MCOT system, with the rates of AF detection constantly increasing within the monitoring period ( 55 , 56 ).…”

Section: Wearables For Detection Of Atrial Fibrillationmentioning

confidence: 99%

“…Among participants actively monitored in the mSToPS trial, the detection of significant pauses and high degree atrioventricular block, along with runs of non-sustained VT, resulted in increased rates of pacemaker and implantable defibrillator implantations ( 63 ). In comparative studies, the MCOT patch was superior to a loop event recorder in detecting bradycardia, cardiac pauses, sustained or symptomatic SVT, asymptomatic high ventricular rates and runs of VT ( 54 , 58 ). In patients undergoing transcatheter aortic valve replacement (TAVR), prolonged, patch-based, rhythm monitoring, prior to the procedure, can detect significant bradyarrhythmias in one-fifth of the patients, some of which may require a change of treatment ( 111 ).…”

Section: Arrhythmias Other Than Afmentioning

confidence: 99%

Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives

Xintarakou

Sousonis

Asvestas

et al. 2022

Front. Cardiovasc. Med.

View full text Add to dashboard Cite

Remote monitoring and control of heart function are of primary importance for patient evaluation and management, especially in the modern era of precision medicine and personalized approach. Breaking technological developments have brought to the frontline a variety of smart wearable devices, such as smartwatches, chest patches/straps, or sensors integrated into clothing and footwear, which allow continuous and real-time recording of heart rate, facilitating the detection of cardiac arrhythmias. However, there is great diversity and significant differences in the type and quality of the information they provide, thus impairing their integration into daily clinical practice and the relevant familiarization of practicing physicians. This review will summarize the different types and dominant functions of cardiac smart wearables available in the market. Furthermore, we report the devices certified by official American and/or European authorities and the respective sources of evidence. Finally, we comment pertinent limitations and caveats as well as the potential answers that flow from the latest technological achievements and future perspectives.

show abstract

Diagnostic yield of asymptomatic arrhythmias detected by mobile cardiac outpatient telemetry and autotrigger looping event cardiac monitors

Abstract: In patients with conventional diagnostic monitoring indications, MCOT™ had significantly higher diagnostic yields for five asymptomatic arrhythmias compared to the AT-LER.

Cited by 18 publications

References 5 publications

Newer technologies for detection of atrial fibrillation

Newer technologies for detection of atrial fibrillation

Heart Rate Variability: An Old Metric with New Meaning in the Era of using mHealth Technologies for Health and Exercise Training Guidance. Part One: Physiology and Methods

Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives

Contact Info

Product

Resources

About