Personalised longitudinal symptom tracking for Long COVID in Northern Ireland

<bold>Introduction:</bold> The underlying mechanisms and factors contributing to Long COVID are poorly understood. A wide variety of symptoms have been reported several months after infection by COVID-19, including breathlessness, fatigue, brain fog and many more. <bold>Methods:</bold> During the early phase of the pandemic, we sought to investigate whether a mobile application (TIYGA ecosystem) could be used to capture data about the type, intensity (scale 1-10), and frequency of specific symptoms. We aimed to understand how to record the sequence of occurrence of new symptoms over time. <bold>Results:</bold> Thirteen participants volunteered from a Charity-led Respiratory Support Group. All participants signed a consent form and created anonymised accounts. The symptoms and interventions tracked by the app were individually personalised and chosen by the participants. There was a high burden of symptoms spanning multiple organ systems, the commonest presented in Figure 1A. The app (TIYGA ecosystem) tracked individual patient’s symptoms and provided healthcare professionals (HCPs) with data regarding severity and resolution of symptoms over time (Figure 1B). <fig><object-id>erj;64/suppl_68/PA4367/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <bold>Conclusion:</bold> The app (TIYGA ecosystem) allows individualised monitoring on a longitudinal basis giving HCPs a rapid overview of progress and detail about changing specific symptom prevalence. This ecosystem provides a unique digital interface that may enhance communication between patients and HCPs.