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Ann Clin Transl Neurol
. 2024 Jul 4.
doi: 10.1002/acn3.52139. Online ahead of print. Social impact of brain fog and analysis of risk factors: Long COVID in Japanese population
Lisa Shigematsu 1 , Ryusei Kimura 2 , Hideki Terai 1 3 , Yu Mimura 4 , Daisuke Ito 5 , Shogyoku Bun 4 , Ho Namkoong 1 6 , Takanori Asakura 1 7 8 , Shotaro Chubachi 1 , Katsunori Masaki 1 , Keiko Ohgino 1 , Jun Miyata 1 , Ichiro Kawada 1 , Makoto Ishii 9 , Ryo Takemura 2 , Soichiro Ueda 10 , Takashi Yoshiyama 11 , Hiroyuki Kokuto 11 , Tatsuya Kusumoto 1 12 , Ayano Oashi 12 , Masayoshi Miyawaki 12 , Fumitake Saito 12 , Tetsuo Tani 1 13 , Kota Ishioka 13 , Saeko Takahashi 13 , Morio Nakamura 13 14 , Yasunori Sato 15 , Koichi Fukunaga 1
Affiliations
Objective: To 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).
Methods: We 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.
Results: The 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.
Interpretations: This 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.
. 2024 Jul 4.
doi: 10.1002/acn3.52139. Online ahead of print. Social impact of brain fog and analysis of risk factors: Long COVID in Japanese population
Lisa Shigematsu 1 , Ryusei Kimura 2 , Hideki Terai 1 3 , Yu Mimura 4 , Daisuke Ito 5 , Shogyoku Bun 4 , Ho Namkoong 1 6 , Takanori Asakura 1 7 8 , Shotaro Chubachi 1 , Katsunori Masaki 1 , Keiko Ohgino 1 , Jun Miyata 1 , Ichiro Kawada 1 , Makoto Ishii 9 , Ryo Takemura 2 , Soichiro Ueda 10 , Takashi Yoshiyama 11 , Hiroyuki Kokuto 11 , Tatsuya Kusumoto 1 12 , Ayano Oashi 12 , Masayoshi Miyawaki 12 , Fumitake Saito 12 , Tetsuo Tani 1 13 , Kota Ishioka 13 , Saeko Takahashi 13 , Morio Nakamura 13 14 , Yasunori Sato 15 , Koichi Fukunaga 1
Affiliations
- PMID: 38961833
- DOI: 10.1002/acn3.52139
Objective: To 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).
Methods: We 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.
Results: The 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.
Interpretations: This 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.