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Typing myalgic encephalomyelitis by infection at onset: A DecodeME study
BACKGROUND: People with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) experience core symptoms of post-exertional malaise, unrefreshing sleep, and cognitive impairment. Despite numbering 0.2-0.4% of the population, no laboratory test is available for their diagnosis, no effective thera...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593357/ https://www.ncbi.nlm.nih.gov/pubmed/37881452 http://dx.doi.org/10.3310/nihropenres.13421.4 |
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author | Bretherick, Andrew D. McGrath, Simon J. Devereux-Cooke, Andy Leary, Sian Northwood, Emma Redshaw, Anna Stacey, Pippa Tripp, Claire Wilson, Jim Chowdhury, Sonya Lewis, Isabel Almelid, Øyvind Baby, Sumy V. Baker, Tom Becher, Hannes Boutin, Thibaud Clyde, Malgorzata Garcia, Diana Ireland, John Kerr, Shona M. McDowall, Ewan Perry, David Samms, Gemma L. Vitart, Veronique Wolfe, Jareth C. Ponting, Chris P. |
author_facet | Bretherick, Andrew D. McGrath, Simon J. Devereux-Cooke, Andy Leary, Sian Northwood, Emma Redshaw, Anna Stacey, Pippa Tripp, Claire Wilson, Jim Chowdhury, Sonya Lewis, Isabel Almelid, Øyvind Baby, Sumy V. Baker, Tom Becher, Hannes Boutin, Thibaud Clyde, Malgorzata Garcia, Diana Ireland, John Kerr, Shona M. McDowall, Ewan Perry, David Samms, Gemma L. Vitart, Veronique Wolfe, Jareth C. Ponting, Chris P. |
author_sort | Bretherick, Andrew D. |
collection | PubMed |
description | BACKGROUND: People with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) experience core symptoms of post-exertional malaise, unrefreshing sleep, and cognitive impairment. Despite numbering 0.2-0.4% of the population, no laboratory test is available for their diagnosis, no effective therapy exists for their treatment, and no scientific breakthrough regarding pathogenesis has been made. It remains unknown, despite decades of small-scale studies, whether individuals experience different types of ME/CFS separated by onset-type, sex or age. METHODS: DecodeME is a large population-based study of ME/CFS that recruited 17,074 participants in the first 3 months following full launch. Detailed questionnaire responses from UK-based participants who all reported being diagnosed with ME/CFS by a health professional provided an unparalleled opportunity to investigate, using logistic regression, whether ME/CFS severity or onset type is significantly associated with sex, age, illness duration, comorbid conditions or symptoms. RESULTS: The well-established sex-bias among ME/CFS patients is evident in the initial DecodeME cohort: 83.5% of participants were females. What was not known previously was that females tend to have more comorbidities than males. Moreover, being female, being older and being over 10 years from ME/CFS onset are significantly associated with greater severity. Five different ME/CFS onset types were examined in the self-reported data: those with ME/CFS onset (i) after glandular fever (infectious mononucleosis); (ii) after COVID-19 infection; (iii) after other infections; (iv) without an infection at onset; and, (v) where the occurrence of an infection at or preceding onset is not known. Among other findings, ME/CFS onset with unknown infection status was significantly associated with active fibromyalgia. CONCLUSIONS: DecodeME participants differ in symptoms, comorbid conditions and/or illness severity when stratified by their sex-at-birth and/or infection around the time of ME/CFS onset. |
format | Online Article Text |
id | pubmed-10593357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-105933572023-10-25 Typing myalgic encephalomyelitis by infection at onset: A DecodeME study Bretherick, Andrew D. McGrath, Simon J. Devereux-Cooke, Andy Leary, Sian Northwood, Emma Redshaw, Anna Stacey, Pippa Tripp, Claire Wilson, Jim Chowdhury, Sonya Lewis, Isabel Almelid, Øyvind Baby, Sumy V. Baker, Tom Becher, Hannes Boutin, Thibaud Clyde, Malgorzata Garcia, Diana Ireland, John Kerr, Shona M. McDowall, Ewan Perry, David Samms, Gemma L. Vitart, Veronique Wolfe, Jareth C. Ponting, Chris P. NIHR Open Res Research Article BACKGROUND: People with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) experience core symptoms of post-exertional malaise, unrefreshing sleep, and cognitive impairment. Despite numbering 0.2-0.4% of the population, no laboratory test is available for their diagnosis, no effective therapy exists for their treatment, and no scientific breakthrough regarding pathogenesis has been made. It remains unknown, despite decades of small-scale studies, whether individuals experience different types of ME/CFS separated by onset-type, sex or age. METHODS: DecodeME is a large population-based study of ME/CFS that recruited 17,074 participants in the first 3 months following full launch. Detailed questionnaire responses from UK-based participants who all reported being diagnosed with ME/CFS by a health professional provided an unparalleled opportunity to investigate, using logistic regression, whether ME/CFS severity or onset type is significantly associated with sex, age, illness duration, comorbid conditions or symptoms. RESULTS: The well-established sex-bias among ME/CFS patients is evident in the initial DecodeME cohort: 83.5% of participants were females. What was not known previously was that females tend to have more comorbidities than males. Moreover, being female, being older and being over 10 years from ME/CFS onset are significantly associated with greater severity. Five different ME/CFS onset types were examined in the self-reported data: those with ME/CFS onset (i) after glandular fever (infectious mononucleosis); (ii) after COVID-19 infection; (iii) after other infections; (iv) without an infection at onset; and, (v) where the occurrence of an infection at or preceding onset is not known. Among other findings, ME/CFS onset with unknown infection status was significantly associated with active fibromyalgia. CONCLUSIONS: DecodeME participants differ in symptoms, comorbid conditions and/or illness severity when stratified by their sex-at-birth and/or infection around the time of ME/CFS onset. F1000 Research Limited 2023-08-21 /pmc/articles/PMC10593357/ /pubmed/37881452 http://dx.doi.org/10.3310/nihropenres.13421.4 Text en Copyright: © 2023 Bretherick AD et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Bretherick, Andrew D. McGrath, Simon J. Devereux-Cooke, Andy Leary, Sian Northwood, Emma Redshaw, Anna Stacey, Pippa Tripp, Claire Wilson, Jim Chowdhury, Sonya Lewis, Isabel Almelid, Øyvind Baby, Sumy V. Baker, Tom Becher, Hannes Boutin, Thibaud Clyde, Malgorzata Garcia, Diana Ireland, John Kerr, Shona M. McDowall, Ewan Perry, David Samms, Gemma L. Vitart, Veronique Wolfe, Jareth C. Ponting, Chris P. Typing myalgic encephalomyelitis by infection at onset: A DecodeME study |
title | Typing myalgic encephalomyelitis by infection at onset: A DecodeME study |
title_full | Typing myalgic encephalomyelitis by infection at onset: A DecodeME study |
title_fullStr | Typing myalgic encephalomyelitis by infection at onset: A DecodeME study |
title_full_unstemmed | Typing myalgic encephalomyelitis by infection at onset: A DecodeME study |
title_short | Typing myalgic encephalomyelitis by infection at onset: A DecodeME study |
title_sort | typing myalgic encephalomyelitis by infection at onset: a decodeme study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593357/ https://www.ncbi.nlm.nih.gov/pubmed/37881452 http://dx.doi.org/10.3310/nihropenres.13421.4 |
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