Abstract:Statistically significant variation between 24-hour PVC counts is present in the ARVD/C population. However, 24-hour ECG monitoring was sufficient to identify 89.6% of 24-hour periods to the correct grouping based on 2010 Task Force Criteria.
“…Extension of monitoring duration to capture arrhythmias may be considered. Significant day-to-day variability in PVC burden is noted in patients with ARVD/C, but Camm et al (2015) reported that 24-hr AECG was sufficient to document the required Task Force criterion of over 500 PVCs in nearly 90% of cases, and extension of monitoring to 96 hr increased the number of correct classification to 95.5%.…”
Section: Arrhythmogenic Right Ventricular Dysplasia/ Cardiomyopathymentioning
Ambulatory ECG (AECG) is very commonly employed in a variety of clinical contexts to detect cardiac arrhythmias and/or arrhythmia patterns which are not readily obtained from the standard ECG. Accurate and timely characterization of arrhythmias is crucial to direct therapies that can have an important impact on diagnosis, prognosis or patient symptom status. The rhythm information derived from the large variety of AECG recording systems can often lead to appropriate and patient-specific medical and interventional management. The details in this document provide background and framework from which to apply AECG techniques in clinical practice, as well as clinical research.
“…Extension of monitoring duration to capture arrhythmias may be considered. Significant day-to-day variability in PVC burden is noted in patients with ARVD/C, but Camm et al (2015) reported that 24-hr AECG was sufficient to document the required Task Force criterion of over 500 PVCs in nearly 90% of cases, and extension of monitoring to 96 hr increased the number of correct classification to 95.5%.…”
Section: Arrhythmogenic Right Ventricular Dysplasia/ Cardiomyopathymentioning
Ambulatory ECG (AECG) is very commonly employed in a variety of clinical contexts to detect cardiac arrhythmias and/or arrhythmia patterns which are not readily obtained from the standard ECG. Accurate and timely characterization of arrhythmias is crucial to direct therapies that can have an important impact on diagnosis, prognosis or patient symptom status. The rhythm information derived from the large variety of AECG recording systems can often lead to appropriate and patient-specific medical and interventional management. The details in this document provide background and framework from which to apply AECG techniques in clinical practice, as well as clinical research.
“…For assessment of the athlete, the presence of LGE with borderline LV wall thickness would strongly suggest pathologic hypertrophy rather than physiologic adaptation. 28,29 CCT is not often used for the assessment of patients with HCM with a few exceptions. In patients with questionable wall thickness measurements by echocardiography and who are unable to tolerate a CMR, CCT could be considered.…”
Section: Hypertrophic Cardiomyopathymentioning
confidence: 99%
“…Both physiologic athletic changes of the RV and pathologic features of patients with ARVC result in increased RV dilatation/volumes compared with LV volumes. 29,34 Echocardiographic measurements of the RV using standard published criteria place many athletes in the abnormal category. 35,36 CMR provides noninvasive evaluation of the RV with more accurate volumetric and functional measurements to differentiate pathologic from physiologic changes of the athlete.…”
Section: Arrhythmogenic Right Ventricular Cardiomyopathymentioning
“…However, daily variability in the number of VEs is common and may result in underdiagnosis 47. An association between the total number of VEs per 24 hours and the arrhythmic potential for unstable ventricular arrhythmias has been demonstrated 48.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.