Remote, smart telemonitoring of COVID-19 survivors for early detection of deterioration in cardiac health (The PARTMO Study) Authors

Josephine Sau Fan Chow^1,2,3,4,5*Nutan Maurya¹Susana San Miguel¹Rumbidzai Teramayi³Ahilan Parameswaran¹Annamarie DSouza¹Gregory Melbourne¹joseph descallar³young juhn⁶Enoch Chan³Jerome Pong³

• ¹South Western Sydney Local Health District, Sydney, Australia
• ²University of New South Wales, Kensington, New South Wales, Australia
• ³Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia
• ⁴Western Sydney University, Penrith, New South Wales, Australia
• ⁵University of Tasmania, Hobart, Tasmania, Australia
• ⁶Wellysis Corp, Texas, United States

This study aims to implement a virtual model of care in the primary healthcare setting, utilizing biosensor technologies (S-Patch EX) to remotely monitor and identify clinical signs and symptoms of cardiovascular conditions (mainly arrhythmias) in patients post COVID-19 infection.This open label, non-randomised, observational study was conducted in patients aged 18 year and above, clinically diagnosed with COVID-19 after June 2021 and those residing within Greater Western Sydney.The study involved two arms: Remote monitoring (Intervention) and Standard care (Control) group.Intervention group comprised of patients who were provided with a S-Patch EX to monitor their electrocardiogram. Data were transmitted in real-time to a mobile phone via Bluetooth technology and results generated through Artificial Intelligence algorithms. All the data were reviewed for arrhythmia detection and escalated to the participant's general practitioner (if detected) to determine the appropriate intervention. Control group was used to compare the rate of cardiac arrhythmia detection against the intervention group. The patient's demographic and longitudinal clinical data was obtained from the electronic medical record system, enabling exploration and comparison of cohort's characteristics and outcomes.Descriptive analysis was conducted for categorical variables (frequencies and cross-tabulations) and continuous variables (means, standard deviations and medians). Depending on the nature of data groups were compared using t-tests or Chi-square tests. Multivariable Cox regression was used to analyse time to first cardiovascular event post COVID-19 infection.