IMPROVED ATRIAL FIBRILLATION (AF) DETECTION DURING THE COVID-19 PANDEMIC USING HOME DELIVERED AND PATIENT ADMINISTERED AMBULATORY ECG MONITORS

Ischaemic strokes secondary to atrial fibrillation (AF) have a high morbidity and mortality thus, detection of AF post stroke is crucial for secondary prevention. Cardiology services were already struggling to provide timely Holter monitoring and the COVID-19 pandemic resulted in further delays. We collaborated with an external company to deliver adhesive ambulatory electrocardiographic monitors (AECG) to patient's homes which ensured compliance with infection control measures to reduce investigation wait times. We conducted a retrospective study looking at AF detection rates when changing from a traditional 24-hour Holter monitor to a 7-day AECG which was delivered and collected from patients' homes during the pandemic. 78 patients were included in this study. 37 patients had a 24-hour Holter monitor applied and removed by a health care professional in an outpatient setting. 41 patients had a 7-day AECG posted to their home where it was self-administered, removed and collected by a courier. AF was detected in a total of 7 patients. 1 out of 37 (1.2%) patients were found to have AF in the 24-hour Holter monitor group. 6 out of 41 patients (7.7%) were found to have AF when using AECG monitors. We conclude that 7-day AECG monitoring is more effective at detecting AF than 24-hour Holter monitoring. The model of a self-administered monitoring device with a longer observation period helps to reduce wait times for ambulatory monitoring whilst improve the detection rate of AF when used during the COVID-19 pandemic and may be beneficial for use in the future.

Use of Ambulatory Patch Monitoring Devices to Supplement Inpatient Telemetry-A Descriptive Study of a Single-center Experience During the Coronavirus Disease 2019 Pandemic.

To accommodate the surge in patients with coronavirus disease 2019 during the spring of 2020, outpatient areas in our health system were repurposed as inpatient units. These spaces often lacked the same resources as the standard inpatient unit, including telemetry equipment. We utilized mobile cardiac outpatient telemetry (MCOT) in place of traditional telemetry and suggest that MCOT is an appropriate substitution only for patients at low risk of developing arrhythmia given the prolonged time to notification of the care team regarding events and imprecise measurements of the corrected QT interval when compared to 12-lead electrocardiography.

Heart rate variability follow-up during COVID-19 -a case report.

BACKGROUND: To detect an early increase in the inflammatory response might prove to be vital for mitigating the deleterious effects of the disease over time. CASES: A 52-year-old obese man with moderate asthma and hypertension, who developed COVID-19 and had moderate symptoms, used a wearable device to record heart rate variability (HRV) during his illness. He had low parasympathetic tone, which decreased daily until it reached almost 2 standard deviations (SD) below normal values at the end of the second week. His sympathetic tone increased from > 3 SD to > 5 SD. CONCLUSIONS: Conclusions: These findings suggest an altered modulation of the sympathetic and parasympathetic nervous systems in COVID-19, such that the sympathetic tone is augmented and the parasympathetic tone is reduced. Population norms of COVID-19 infections should be further studied over the short-term and using 24 h HRV measurements.

Prospective analysis of vascular resistance in patients with persistent tachycardia and or dyspnea on exertion in the post acute sequela of covid-19 syndrome

Introduction: The cause of tachycardia and dyspnea on exertion (DOE) in the Post Acute Sequelae CoV-2 syndrome (PASC) has yet to be identified. While endothelial invasion of the virus is well documented, how that might explain PASC is unknown. Hypothesis: Covid induced changes in vascular signaling to autonomic regulatory centers can induce sinus tachycardia and DOE. Methods: In a prospective, observational study, we enrolled 18 PASC patients who reported DOE or inappropriate tachycardia. All patients had normal left ventricular function, CXR, Hgb and thyroid studies. None had preexisting autonomic dysfunction. Vascular resistance was assessed by echocardiographic measurement of aortic-vascular impedance (Zva)=(systolic BP + mean Ao valve gradient)/stroke volume index. Ambulatory heart rate monitoring and head-up tilt table testing (HUTT) were performed. Results: Consecutively enrolled patients (18) were studied (17 females, ages 27 to 64). None had a significant aortic valve gradient. Zva was elevated in 17 of 18 patients. Ambulatory monitoring revealed episodes of symptomatic sinus tachycardia. Higher average daily heart rates correlated significantly with higher Zva levels (fig1). The 14 patients with DOE trended to higher average Zva levels than the 4 patients without dyspnea (4.13 +- 0.85 vs 3.5 +- 0.24, P=0.14). Of the 17 patients who had HUTT, 16 demonstrated patterns of orthostatic intolerance consistent with excess sympathetic tone including both postural orthostatic tachycardia and neurogenic cardiac syncope. Conclusions: PASC associated sinus tachycardia and HUTT abnormalities result from excess sympathetic tone. Covid-19 vascular injury as evidenced by abnormal Zva values may result in abnormal vascular signaling to autonomic regulatory centers. Resultant increases in sympathetic output may produce inappropriate sinus tachycardia, vasomotor dysregulation and DOE via peripheral vasoconstriction.

Association of Race and Neighborhood Disadvantage with Patient Engagement in a Home-Based COVID-19 Remote Monitoring Program.

BACKGROUND: COVID-positive outpatients may benefit from remote monitoring, but such a program often relies on smartphone apps. This may introduce racial and socio-economic barriers to participation. Offering multiple methods for participation may address these barriers. OBJECTIVES: (1) To examine associations of race and neighborhood disadvantage with patient retention in a monitoring program offering two participation methods. (2) To measure the association of the program with emergency department visits and hospital admissions. DESIGN: Retrospective propensity-matched cohort study. PARTICIPANTS: COVID-positive outpatients at a single university-affiliated healthcare system and propensity-matched controls. INTERVENTIONS: A home monitoring program providing daily symptom tracking via patient portal app or telephone calls. MAIN MEASURES: Among program enrollees, retention (until 14 days, symptom resolution, or hospital admission) by race and neighborhood disadvantage, with stratification by program arm. In enrollees versus matched controls, emergency department utilization and hospital admission within 30 days. KEY RESULTS: There were 7592 enrolled patients and 9710 matched controls. Black enrollees chose the telephone arm more frequently than White enrollees (68% versus 44%, p = 0.009), as did those from more versus less disadvantaged neighborhoods (59% versus 43%, p = 0.02). Retention was similar in Black enrollees and White enrollees (63% versus 62%, p = 0.76) and in more versus less disadvantaged neighborhoods (63% versus 62%, p = 0.44). When stratified by program arm, Black enrollees had lower retention than White enrollees in the app arm (49% versus 55%, p = 0.01), but not in the telephone arm (69% versus 71%, p = 0.12). Compared to controls, enrollees more frequently visited the emergency department (HR 1.71 [95% CI 1.56-1.87]) and were admitted to the hospital (HR 1.16 [95% CI 1.02-1.31]). CONCLUSIONS: In a COVID-19 remote patient monitoring program, Black enrollees preferentially selected, and had higher retention in, telephone- over app-based monitoring. As a result, overall retention was similar between races. Remote monitoring programs with multiple modes may reduce barriers to participation.

Function and Emotion in Everyday Life With Type 1 Diabetes (FEEL-T1D): Protocol for a Fully Remote Intensive Longitudinal Study.

BACKGROUND: Although short-term blood glucose levels and variability are thought to underlie diminished function and emotional well-being in people with type 1 diabetes (T1D), these relationships are poorly understood. The Function and Emotion in Everyday Life with T1D (FEEL-T1D) study focuses on investigating these short-term dynamic relationships among blood glucose levels, functional ability, and emotional well-being in adults with T1D. OBJECTIVE: The aim of this study is to present the FEEL-T1D study design, methods, and study progress to date, including adaptations necessitated by the COVID-19 pandemic to implement the study fully remotely. METHODS: The FEEL-T1D study will recruit 200 adults with T1D in the age range of 18-75 years. Data collection includes a comprehensive survey battery, along with 14 days of intensive longitudinal data using blinded continuous glucose monitoring, ecological momentary assessments, ambulatory cognitive tasks, and accelerometers. All study procedures are conducted remotely by mailing the study equipment and by using videoconferencing for study visits. RESULTS: The study received institutional review board approval in January 2019 and was funded in April 2019. Data collection began in June 2020 and is projected to end in December 2021. As of June 2021, after 12 months of recruitment, 124 participants have enrolled in the FEEL-T1D study. Approximately 87.6% (7082/8087) of ecological momentary assessment surveys have been completed with minimal missing data, and 82.0% (82/100) of the participants provided concurrent continuous glucose monitoring data, ecological momentary assessment data, and accelerometer data for at least 10 of the 14 days of data collection. CONCLUSIONS: Thus far, our reconfiguration of the FEEL-T1D protocol to be implemented remotely during the COVID-19 pandemic has been a success. The FEEL-T1D study will elucidate the dynamic relationships among blood glucose levels, emotional well-being, cognitive function, and participation in daily activities. In doing so, it will pave the way for innovative just-in-time interventions and produce actionable insights to facilitate tailoring of diabetes treatments to optimize the function and well-being of individuals with T1D. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/30901.

Multiparameter diagnostic sensor measurements in heart failure patients presenting with SARS-CoV-2 infection.

AIMS: Implantable device-based sensor measurements including heart sounds, markers of ventilation, and thoracic impedance have been shown to predict heart failure (HF) hospitalizations. We sought to assess how these parameters changed prior to COVID-19 (Cov-19) and how these compared with those presenting with decompensated HF or pneumonia. METHODS AND RESULTS: This retrospective analysis explores patterns of changes in daily measurements by implantable sensors in 10 patients with Cov-19 and compares these findings with those observed prior to HF (n = 88) and pneumonia (n = 12) hospitalizations from the MultiSENSE, PREEMPT-HF, and MANAGE-HF trials. The earliest sensor changes prior to Cov-19 were observed in respiratory rate (6 days) and temperature (5 days). There was a three-fold to four-fold greater increase in respiratory rate, rapid shallow breathing index, and night heart rate compared with those presenting with HF or pneumonia. Furthermore, activity levels fell more in those presenting with Cov-19, a change that was often sustained for some time. In contrast, there were no significant changes in 1st or 3rd heart sound (S1 and S3 ) amplitude in those presenting with Cov-19 or pneumonia compared with the known changes that occur in HF decompensation. CONCLUSIONS: Multi-sensor device diagnostics may provide early detection of Cov-19, distinguishable from worsening HF by an extreme and fast rise in respiratory rate along with no changes in S3.

A pandemic response to home delivery for ambulatory ECG monitoring: Development and validation.

In response to the COVID-19 pandemic, a protocol was designed for mail-out devices and educational materials created to teach patients how to install a device for 2 weeks of continuous ambulatory ECG monitoring. We compared data collection from two sequential patient populations; one who received standard device application in the same clinic in the months before the pandemic response, and another, who received their device by mail for self-installation. Patients received a single phone call when the device was mailed and were able to contact the manufacturer as needed for support. A total of 47 devices were assessed from each group. Each group was similar in age (70 vs 65 years), and clinical indication for monitoring. Noise signal magnitude (22.34 vs 26.28%), symptom based manual activation (10 vs 8 events) and APB/recorded hour burden measurements (37.05 vs 23.36%) were similar in both groups (all comparisons were statistically non-significant). Both groups had a similar mean of hours recorded (240.37 vs. 245.05 h). Zero patient kits were lost, and all reports were delivered. Overall, it was found that a mail-delivered home-based recording platform can be reliably used to acquire clinical data with similar data quality and patient compliance as a conventional in-clinic model for long term ambulatory ECG monitoring.