Nicholas F Sculthorpe
Tracking Persistent Symptoms in Scotland (TraPSS): a longitudinal prospective cohort study of COVID-19 recovery after mild acute infection
Sculthorpe, Nicholas F; McLaughlin, Marie; Cerexhe, Luke; Macdonald, Eilidh; Dello Iacono, Antonio; Sanal-Hayes, Nilihan E M; Ingram, Joanne; Meach, Rachel; Carless, David; Ormerod, Jane; Hayes, Lawrence D
Authors
Marie McLaughlin
Luke Cerexhe
Eilidh Macdonald
Antonio Dello Iacono
Dr Nilihan Sanal-Hayes N.E.M.Sanal-Hayes@salford.ac.uk
Lecturer in Psychology
Joanne Ingram
Rachel Meach
David Carless
Jane Ormerod
Lawrence D Hayes
Abstract
Background: COVID-19 disease results in disparate responses between individuals and has led to the emergence of long coronavirus disease (Long-COVID), characterised by persistent and cyclical symptomology. To understand the complexity of Long-COVID, the importance of symptom surveillance and prospective longitudinal studies is evident. Methods: A 9-month longitudinal prospective cohort study was conducted within Scotland (n=287), using a mobile app to determine the proportion of recovered individuals and those with persistent symptoms and common symptoms, and associations with gender and age. Results: 3.1% of participants experienced symptoms at month 9, meeting the criteria for Long-COVID, as defined by the National Institute for Health and Care Excellence terminology. The random effects model revealed a significant time (month) effect for infection recovery (p<0.001, estimate=0.07). Fatigue, cough and muscle pain were the most common symptoms at baseline, with fatigue persisting the longest, while symptoms like cough improved rapidly. Older age increased the likelihood of reporting pain (p=0.028, estimate=0.07) and cognitive impairment (p<0.001, estimate=0.93). Female gender increased the likelihood of headaches (p=0.024, estimate=0.53) and post-exertional malaise (PEM) frequency (p=0.05, estimate=137.68), and increased time x gender effect for PEM frequency (p=0.033, estimate=18.96). Conclusions: The majority of people fully recover from acute COVID-19, although often slowly. Age and gender play a role in symptom burden and recovery rates, emphasising the need for tailored approaches to Long-COVID management. Further analysis is required to determine the characteristics of the individuals still reporting ongoing symptoms months after initial infection to identify risk factors and potential predictors for the development of Long-COVID.
Working Paper Type | Working Paper |
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Deposit Date | Jul 24, 2024 |
Publisher | BMJ Publishing Group |
Keywords | Epidemiology, COVID-19, Post-Acute COVID-19 Syndrome |
Publisher URL | https://doi.org/10.1101/2024.03.07.24303931 |
This file is under embargo due to copyright reasons.
Contact N.E.M.Sanal-Hayes@salford.ac.uk to request a copy for personal use.