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Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.
Bowyer, Ruth C E; Huggins, Charlotte; Toms, Renin; Shaw, Richard J; Hou, Bo; Thompson, Ellen J; Kwong, Alex S F; Williams, Dylan M; Kibble, Milla; Ploubidis, George B; Timpson, Nicholas J; Sterne, Jonathan A C; Chaturvedi, Nishi; Steves, Claire J; Tilling, Kate; Silverwood, Richard J.
  • Bowyer RCE; Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.
  • Huggins C; The Alan Turing Institute, London, UK.
  • Toms R; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
  • Shaw RJ; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
  • Hou B; Population Wellbeing, School of Health Sciences, Cardiff Metropolitan University, Cardiff, UK.
  • Thompson EJ; MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
  • Kwong ASF; Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
  • Williams DM; Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.
  • Kibble M; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
  • Ploubidis GB; Division of Psychiatry, University of Edinburgh, Edinburgh, UK.
  • Timpson NJ; MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK.
  • Sterne JAC; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Chaturvedi N; Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.
  • Steves CJ; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
  • Tilling K; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
  • Silverwood RJ; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
Eur J Epidemiol ; 38(2): 199-210, 2023 Feb.
Статья в английский | MEDLINE | ID: covidwho-2209411
ABSTRACT
Multiple studies across global populations have established the primary symptoms characterising Coronavirus Disease 2019 (COVID-19) and long COVID. However, as symptoms may also occur in the absence of COVID-19, a lack of appropriate controls has often meant that specificity of symptoms to acute COVID-19 or long COVID, and the extent and length of time for which they are elevated after COVID-19, could not be examined. We analysed individual symptom prevalences and characterised patterns of COVID-19 and long COVID symptoms across nine UK longitudinal studies, totalling over 42,000 participants. Conducting latent class analyses separately in three groups ('no COVID-19', 'COVID-19 in last 12 weeks', 'COVID-19 > 12 weeks ago'), the data did not support the presence of more than two distinct symptom patterns, representing high and low symptom burden, in each group. Comparing the high symptom burden classes between the 'COVID-19 in last 12 weeks' and 'no COVID-19' groups we identified symptoms characteristic of acute COVID-19, including loss of taste and smell, fatigue, cough, shortness of breath and muscle pains or aches. Comparing the high symptom burden classes between the 'COVID-19 > 12 weeks ago' and 'no COVID-19' groups we identified symptoms characteristic of long COVID, including fatigue, shortness of breath, muscle pain or aches, difficulty concentrating and chest tightness. The identified symptom patterns among individuals with COVID-19 > 12 weeks ago were strongly associated with self-reported length of time unable to function as normal due to COVID-19 symptoms, suggesting that the symptom pattern identified corresponds to long COVID. Building the evidence base regarding typical long COVID symptoms will improve diagnosis of this condition and the ability to elicit underlying biological mechanisms, leading to better patient access to treatment and services.
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Полный текст: Имеется в наличии Коллекция: Международные базы данных база данных: MEDLINE Основная тема: COVID-19 Тип исследования: Когортное исследование / Диагностическое исследование / Экспериментальные исследования / Наблюдательное исследование / Прогностическое исследование / Рандомизированные контролируемые испытания Темы: Длинный Ковид Пределы темы: Люди Страна как тема: Европа Язык: английский Журнал: Eur J Epidemiol Тематика журнала: Эпидемиология Год: 2023 Тип: Статья Аффилированная страна: S10654-022-00962-6

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Полный текст: Имеется в наличии Коллекция: Международные базы данных база данных: MEDLINE Основная тема: COVID-19 Тип исследования: Когортное исследование / Диагностическое исследование / Экспериментальные исследования / Наблюдательное исследование / Прогностическое исследование / Рандомизированные контролируемые испытания Темы: Длинный Ковид Пределы темы: Люди Страна как тема: Европа Язык: английский Журнал: Eur J Epidemiol Тематика журнала: Эпидемиология Год: 2023 Тип: Статья Аффилированная страна: S10654-022-00962-6