Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies

被引:19
|
作者
Bowyer, Ruth C. E. [1 ,2 ]
Huggins, Charlotte [3 ]
Toms, Renin [4 ,5 ]
Shaw, Richard J. J. [6 ]
Hou, Bo [7 ]
Thompson, Ellen J. J. [1 ]
Kwong, Alex S. F. [8 ,9 ]
Williams, Dylan M. M. [10 ,11 ]
Kibble, Milla [1 ,4 ,8 ,12 ]
Ploubidis, George B. B. [14 ]
Timpson, Nicholas J. J. [4 ,8 ]
Sterne, Jonathan A. C. [4 ,15 ,16 ]
Chaturvedi, Nishi [10 ]
Steves, Claire J. J. [1 ,13 ]
Tilling, Kate [4 ,8 ]
Silverwood, Richard J. J. [14 ]
CONVALESCENCE Study
机构
[1] Kings Coll London, Sch Life Course & Populat Sci, Dept Twin Res & Genet Epidemiol, London, England
[2] Alan Turing Inst, London, England
[3] Univ Edinburgh, Inst Genet & Canc, Ctr Genom & Expt Med, Edinburgh, Scotland
[4] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, England
[5] Cardiff Metropolitan Univ, Sch Hlth Sci, Populat Wellbeing, Cardiff, Wales
[6] Univ Glasgow, MRC CSO Social & Publ Hlth Sci Unit, Glasgow, Scotland
[7] Bradford Teaching Hosp NHS Fdn Trust, Bradford Inst Hlth Res, Bradford, England
[8] MRC Integrat Epidemiol Unit Univ Bristol, Bristol, England
[9] Univ Edinburgh, Div Psychiat, Edinburgh, Scotland
[10] UCL, MRC Unit Lifelong Hlth & Ageing UCL, London, England
[11] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[12] Univ Cambridge, Dept Appl Math & Theoret Phys, Cambridge, England
[13] Guys & St ThomasNHS Fdn Trust, Dept Ageing & Hlth, London, England
[14] UCL, UCL Social Res Inst, Ctr Longitudinal Studies, London, England
[15] NIHR Bristol Biomed Res Ctr, Bristol, England
[16] Hlth Data Res UK South West, Bristol, England
基金
英国惠康基金; 英国医学研究理事会; 美国国家卫生研究院; 英国经济与社会研究理事会;
关键词
Clustering; COVID-19; Long COVID; Longitudinal studies; Symptom patterns; COHORT PROFILE;
D O I
10.1007/s10654-022-00962-6
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:199 / 210
页数:12
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