Comprehensive analysis of long COVID in a Japanese nationwide prospective cohort study

Hideki Terai, Makoto Ishii, Ryo Takemura, Ho Namkoong, Kyoko Shimamoto, Katsunori Masaki, Takae Tanosaki, Shotaro Chubachi, Emiko Matsuyama, Reina Hayashi, Takashi Shimada, Lisa Shigematsu, Fumimaro Ito, Masanori Kaji, Hatsuyo Takaoka, Momoko Kurihara, Kensuke Nakagawara, Saki Tomiyasu, Kotaro Sasahara, Ayaka SaitoShiro Otake, Shuhei Azekawa, Masahiko Okada, Takahiro Fukushima, Atsuho Morita, Hiromu Tanaka, Keeya Sunata, Masato Asaoka, Miyuki Nishie, Taro Shinozaki, Toshiki Ebisudani, Yuto Akiyama, Akifumi Mitsuishi, Shingo Nakayama, Takunori Ogawa, Kaori Sakurai, Misato Irie, Kazuma Yagi, Keiko Ohgino, Jun Miyata, Hiroki Kabata, Shinnosuke Ikemura, Hirofumi Kamata, Hiroyuki Yasuda, Ichiro Kawada, Ryusei Kimura, Masahiro Kondo, Toshiki Iwasaki, Noriyuki Ishida, Gaku Hiruma, Naoki Miyazaki, Yoshiki Ishibashi, Sei Harada, Takanori Fujita, Daisuke Ito, Shogyoku Bun, Hajime Tabuchi, Sho Kanzaki, Eisuke Shimizu, Keitaro Fukuda, Jun Yamagami, Keigo Kobayashi, Toshiyuki Hirano, Takashi Inoue, Mizuha Haraguchi, Junko Kagyo, Tetsuya Shiomi, Ho Lee, Kai Sugihara, Nao Omori, Koichi Sayama, Kengo Otsuka, Naoki Miyao, Toshio Odani, Mayuko Watase, Takao Mochimaru, Ryosuke Satomi, Yoshitaka Oyamada, Keita Masuzawa, Takanori Asakura, Sohei Nakayama, Yusuke Suzuki, Rie Baba, Satoshi Okamori, Daisuke Arai, Ichiro Nakachi, Naota Kuwahara, Akiko Fujiwara, Takenori Oakada, Takashi Ishiguro, Taisuke Isosno, Yasushi Makino, Shuko Mashimo, Tatsuya Kaido, Naoto Minematsu, Soichiro Ueda, Kazuhiro Minami, Rie Hagiwara, Tadashi Manabe, Takahiro Fukui, Yohei Funatsu, Hidefumi Koh, Takashi Yoshiyama, Hiroyuki Kokuto, Tatsuya Kusumoto, Ayano Oashi, Masayoshi Miyawaki, Fumitake Saito, Tetsuo Tani, Kota Ishioka, Saeko Takahashi, Morio Nakamura, Norihiro Harada, Hitoshi Sasano, Ai Goto, Yu Kusaka, Takehiko Ohba, Yasushi Nakano, Kazumi Nishio, Yukiko Nakajima, Shoji Suzuki, Shuichi Yoshida, Hiroki Tateno, Nobuhiro Kodama, Maeda Shunsuke, Satoshi Sakamoto, Masaki Okamoto, Yoji Nagasaki, Akira Umeda, Kazuya Miyagawa, Hisato Shimada, Kazuto Hagimura, Kengo Nagashima, Toshiro Sato, Yasunori Sato, Naoki Hasegawa, Toru Takebayashi, Jin Nakahara, Masaru Mimura, Kaoru Ogawa, Shigeto Shimmura, Kazuno Negishi, Kazuo Tsubota, Masayuki Amagai, Rei Goto, Yoko Ibuka, Yuko Kitagawa, Takanori Kanai, Koichi Fukunaga

研究成果: ジャーナルへの寄稿学術論文査読

8 被引用数 (Scopus)

抄録

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly since 2019, and the number of reports regarding long COVID has increased. Although the distribution of long COVID depends on patient characteristics, epidemiological data on Japanese patients are limited. Hence, this study aimed to investigate the distribution of long COVID in Japanese patients. This study is the first nationwide Japanese prospective cohort study on long COVID. Methods: This multicenter, prospective cohort study enrolled hospitalized COVID-19 patients aged ≥18 years at 26 Japanese medical institutions. In total, 1200 patients were enrolled. Clinical information and patient-reported outcomes were collected from medical records, paper questionnaires, and smartphone applications. Results: We collected data from 1066 cases with both medical records and patient-reported outcomes. The proportion of patients with at least one symptom decreased chronologically from 93.9% (947/1009) during hospitalization to 46.3% (433/935), 40.5% (350/865), and 33.0% (239/724) at 3, 6, and 12 months, respectively. Patients with at least one long COVID symptom showed lower quality of life and scored higher on assessments for depression, anxiety, and fear of COVID-19. Female sex, middle age (41–64 years), oxygen requirement, and critical condition during hospitalization were risk factors for long COVID. Conclusions: This study elucidated the symptom distribution and risks of long COVID in the Japanese population. This study provides reference data for future studies of long COVID in Japan.

本文言語英語
ページ(範囲)802-814
ページ数13
ジャーナルRespiratory Investigation
61
6
DOI
出版ステータス出版済み - 11-2023
外部発表はい

All Science Journal Classification (ASJC) codes

  • 呼吸器内科

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