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Yamamoto, Yukichika Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Otsuka, Yuki Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Tokumasu, Kazuki Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID publons researchmap
Sunada, Naruhiko Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Nakano, Yasuhiro Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Honda, Hiroyuki Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Sakurada, Yasue Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Hasegawa, Toru Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Hagiya, Hideharu Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID Kaken ID researchmap
Otsuka, Fumio Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID Kaken ID publons researchmap
Abstract
Objective: The most common symptom of post-acute coronavirus disease 2019 (COVID-19) is fatigue, and it potentially leads to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS); however, a specific prognosticator is lacking. We aimed to elucidate the clinical characteristics of patients who developed ME/CFS after COVID-19. Methods: In this retrospective observational study, patients who visited Okayama University Hospital for long COVID between February 2021 and March 2022 were investigated. Results: Of the 234 patients, 139 (59.4%) had fatigue symptoms. Fifty patients with fatigue symptoms (21.4%) met the criteria for ME/CFS (ME/CFS group), while the other 89 patients did not (non-ME/CFS group); 95 patients had no fatigue complaints (no-fatigue group). Although the patients’ backgrounds were not significantly different between the three groups, the ME/CFS group presented the highest scores on the self-rating symptom scales, including the Fatigue Assessment Scale (FAS), EuroQol, and the Self-Rating Depression Scale (SDS). Furthermore, serum ferritin levels, which were correlated with FAS and SDS scores, were significantly higher in the ME/CFS group (193.0 μg/L, interquartile range (IQR): 58.8–353.8) than in the non-ME/CFS group (98.2 μg/L, 40.4–251.5) and no-fatigue group (86.7 μg/L, 37.5–209.0), and a high serum ferritin level was prominent in female patients. Endocrine workup further showed that the ME/CFS group had higher thyrotropin levels but lower growth hormone levels in serum and that insulin-like growth factor-I levels were inversely correlated with ferritin levels (R = −0.328, p < 0.05). Conclusions: Serum ferritin level is a possible predictor of the development of ME/CFS related to long COVID, especially in female patients.
Keywords
COVID-19
ferritin
insulin-like growth factor-I (IGF-I)
long COVID
myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
Published Date
2023-07-18
Publication Title
Journal of Clinical Medicine
Volume
volume12
Issue
issue14
Publisher
MDPI
Start Page
4737
ISSN
2077-0383
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2023 by the authors.
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DOI
Web of Science KeyUT
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isVersionOf https://doi.org/10.3390/jcm12144737
License
https://creativecommons.org/licenses/by/4.0/
Citation
Yamamoto, Y.; Otsuka, Y.; Tokumasu, K.; Sunada, N.; Nakano, Y.; Honda, H.; Sakurada, Y.; Hasegawa, T.; Hagiya, H.; Otsuka, F. Utility of Serum Ferritin for Predicting Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome in Patients with Long COVID. J. Clin. Med. 2023, 12, 4737. https://doi.org/ 10.3390/jcm12144737
Funder Name
Japan Society for the Promotion of Science
助成番号
JP22K20927