Social impact of brain fog and analysis of risk factors: Long COVID in Japanese population

Author:

Shigematsu Lisa1,Kimura Ryusei2,Terai Hideki13ORCID,Mimura Yu4,Ito Daisuke5,Bun Shogyoku4,Namkoong Ho16,Asakura Takanori178,Chubachi Shotaro1,Masaki Katsunori1,Ohgino Keiko1,Miyata Jun1,Kawada Ichiro1,Ishii Makoto9,Takemura Ryo2,Ueda Soichiro10,Yoshiyama Takashi11,Kokuto Hiroyuki11,Kusumoto Tatsuya112,Oashi Ayano12,Miyawaki Masayoshi12,Saito Fumitake12,Tani Tetsuo113,Ishioka Kota13,Takahashi Saeko13,Nakamura Morio1314,Sato Yasunori15,Fukunaga Koichi1

Affiliation:

1. Division of Pulmonary Medicine, Department of Medicine Keio University School of Medicine Tokyo Japan

2. Biostatistics Unit, Clinical and Translational Research Center Keio University Hospital Tokyo Japan

3. Keio Cancer Center Keio University School of Medicine Tokyo Japan

4. Department of Neuropsychiatry Keio University School of Medicine Tokyo Japan

5. Department of Physiology/Memory Center Keio University School of Medicine Tokyo Japan

6. Department of Infectious Diseases Keio University School of Medicine Tokyo Japan

7. Department of Clinical Medicine (Laboratory of Bioregulatory Medicine) Kitasato University School of Pharmacy Tokyo Japan

8. Department of Respiratory Medicine Kitasato University Kitasato Institute Hospital Tokyo Japan

9. Department of Respiratory Medicine Nagoya University Graduate School of Medicine Nagoya Japan

10. Department of Internal Medicine Saitama Medical Center Saitama Japan

11. Respiratory Disease Center Fukujuji Hospital, Japan Anti‐Tuberculosis Association Tokyo Japan

12. Department of Pulmonary Medicine Eiju General Hospital Tokyo Japan

13. Department of Pulmonary Medicine Tokyo Saiseikai Central Hospital Tokyo Japan

14. Department of Pulmonary Medicine NHO Kanagawa National Hospital Hatano Kanagawa Japan

15. Department of Biostatistics Keio University School of Medicine Tokyo Japan

Abstract

AbstractObjectiveTo reveal the clinical features and assess risk factors linked to brain fog and its societal implications, including labor productivity, providing valuable insights for the future care of individuals who have experienced coronavirus disease 2019 (COVID‐19).MethodsWe analyzed a comprehensive cohort dataset comprising 1,009 patients with COVID‐19 admitted to Japanese hospitals. To assess brain fog, we analyzed patients who responded to a questionnaire indicating symptoms such as memory impairment and poor concentration.ResultsThe prevalence of brain fog symptoms decreased 3 months posthospitalization but remained stable up to 12 months. Neurological symptoms such as taste and smell disorders and numbness at hospitalization correlated with a higher frequency of identifying brain fog as a long COVID manifestation. Our findings indicated that advanced age, female sex, a high body mass index, oxygen required during hospitalization, chronic obstructive pulmonary disease, asthma, and elevated C‐reactive protein and elevated D‐dimer levels were risk factors in patients exhibiting brain fog. Additionally, we demonstrated the negative impact of brain fog on labor productivity by presenteeism scores.InterpretationsThis study clarified the clinical characteristics of patients experiencing brain fog as a long COVID manifestation, specifically emphasizing neurological symptoms during hospitalization and their correlation with brain fog. Additionally, the study identified associated risk factors for its onset and revealed that the emergence of brain fog was linked to a decline in labor productivity.

Funder

Japan Agency for Medical Research and Development

Ministry of Health, Labour and Welfare

Core Research for Evolutional Science and Technology

Precursory Research for Embryonic Science and Technology

Publisher

Wiley

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