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1000 Titel
  • Pediatric and adult patients with ME/CFS following COVID-19: A structured approach to diagnosis using the Munich Berlin Symptom Questionnaire (MBSQ)
1000 Autor/in
  1. Peo, Laura-Carlotta |
  2. Wiehler, Katharina |
  3. Paulick, Johannes |
  4. Gerrer, Katrin |
  5. Leone, Ariane |
  6. Viereck, Anja |
  7. Haegele, Matthias |
  8. Stojanov, Silvia |
  9. Warlitz, Cordula |
  10. Augustin, Silvia |
  11. Alberer, Martin |
  12. Hattesohl, Daniel B. R. |
  13. Froehlich, Laura |
  14. Scheibenbogen, Carmen |
  15. Jason, Leonard A. |
  16. Mihatsch, Lorenz L. |
  17. Pricoco, Rafael |
  18. Behrends, Uta |
1000 Verlag
  • Springer Berlin Heidelberg
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-12-14
1000 Erschienen in
1000 Quellenangabe
  • 183(3):1265-1276
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00431-023-05351-z |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12006236/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:sec> <jats:title>Abstract</jats:title> <jats:p>A subset of patients with post-COVID-19 condition (PCC) fulfill the clinical criteria of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). To establish the diagnosis of ME/CFS for clinical and research purposes, comprehensive scores have to be evaluated. We developed the Munich Berlin Symptom Questionnaires (MBSQs) and supplementary scoring sheets (SSSs) to allow for a rapid evaluation of common ME/CFS case definitions. The MBSQs were applied to young patients with chronic fatigue and post-exertional malaise (PEM) who presented to the MRI Chronic Fatigue Center for Young People (MCFC). Trials were retrospectively registered (NCT05778006, NCT05638724). Using the MBSQs and SSSs, we report on ten patients aged 11 to 25 years diagnosed with ME/CFS after asymptomatic SARS-CoV-2 infection or mild to moderate COVID-19. Results from their MBSQs and from well-established patient-reported outcome measures indicated severe impairments of daily activities and health-related quality of life.</jats:p> <jats:p> <jats:italic>   Conclusions:</jats:italic> ME/CFS can follow SARS-CoV-2 infection in patients younger than 18 years, rendering structured diagnostic approaches most relevant for pediatric PCC clinics. The MBSQs and SSSs represent novel diagnostic tools that can facilitate the diagnosis of ME/CFS in children, adolescents, and adults with PCC and other post-infection or post-vaccination syndromes. <jats:table-wrap> <jats:table> <jats:tbody> <jats:tr> <jats:td colspan='2'> <jats:bold>What is Known:</jats:bold> <jats:italic>• ME/CFS is a debilitating disease with increasing prevalence due to COVID-19. For diagnosis, a differential diagnostic workup is required, including the evaluation of clinical ME/CFS criteria.</jats:italic> <jats:italic>• ME/CFS after COVID-19 has been reported in adults but not in pediatric patients younger than 19 years.</jats:italic> </jats:td> </jats:tr> <jats:tr> <jats:td colspan='2'> <jats:bold>What is New:</jats:bold> <jats:italic>• We present the novel Munich Berlin Symptom Questionnaires (MBSQs) as diagnostic tools to assess common ME/CFS case definitions in pediatric and adult patients with post-COVID-19 condition and beyond.</jats:italic> <jats:italic>• Using the MBSQs, we diagnosed ten patients aged 11 to 25 years with ME/CFS after asymptomatic SARS-CoV-2 infection or mild to moderate COVID-19.</jats:italic> </jats:td> </jats:tr> </jats:tbody> </jats:table> </jats:table-wrap> </jats:p> </jats:sec>
1000 Sacherschließung
lokal COVID-19/diagnosis [MeSH]
lokal Surveys and Questionnaires [MeSH]
gnd 1206347392 COVID-19
lokal Adolescent [MeSH]
lokal Adolescents
lokal ME/CFS
lokal Adult [MeSH]
lokal Fatigue Syndrome, Chronic/epidemiology [MeSH]
lokal Humans [MeSH]
lokal COVID-19 Testing [MeSH]
lokal Fatigue Syndrome, Chronic/diagnosis [MeSH]
lokal Post-exertional malaise
lokal Post-COVID
lokal Children
lokal Quality of Life [MeSH]
lokal Research
lokal Young Adult [MeSH]
lokal Child [MeSH]
lokal Fatigue Syndrome, Chronic/etiology [MeSH]
lokal SARS-CoV-2 [MeSH]
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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  1. Weidenhammer-Zoebele Foundation |
  2. Lost Voices Foundation |
  3. Bundesministerium für Gesundheit |
  4. Bavarian State Ministry of Health and Care |
  5. Technische Universität München |
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    1000 Förderer Bavarian State Ministry of Health and Care |
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    1000 Förderer Technische Universität München |
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1000 Erstellt am 2025-07-07T01:56:31.312+0200
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