48 results on '"Watase, Mayuko"'
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2. Chronic obstructive pulmonary disease, asthma, and mechanical ventilation are risk factors for dyspnea in patients with long COVID: A Japanese nationwide cohort study
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Matsuyama, Emiko, Miyata, Jun, Terai, Hideki, Miyazaki, Naoki, Iwasaki, Toshiki, Nagashima, Kengo, Watase, Mayuko, Sunata, Keeya, Namkoong, Ho, Asakura, Takanori, Masaki, Katsunori, Chubachi, Shotaro, Ohgino, Keiko, Kawada, Ichiro, Minami, Kazuhiro, Hagiwara, Rie, Ueda, Soichiro, Yoshiyama, Takashi, Kokuto, Hiroyuki, Kusumoto, Tatsuya, Oashi, Ayano, Miyawaki, Masayoshi, Saito, Fumitake, Tani, Tetsuo, Ishioka, Kota, Takahashi, Saeko, Nakamura, Morio, Ishii, Makoto, Sato, Yasunori, and Fukunaga, Koichi
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- 2024
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3. Association between ABO blood group/genotype and COVID-19 in a Japanese population
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Kusumoto, Tatsuya, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Azekawa, Shuhei, Otake, Shiro, Nakagawara, Kensuke, Fukushima, Takahiro, Morita, Atsuho, Watase, Mayuko, Sakurai, Kaori, Asakura, Takanori, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Edahiro, Ryuya, Sano, Hirohito, Sato, Yasunori, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Tokunaga, Katsushi, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2023
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4. CT-derived vertebral bone mineral density is a useful biomarker to predict COVID-19 outcome
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Azekawa, Shuhei, Maetani, Tomoki, Chubachi, Shotaro, Asakura, Takanori, Tanabe, Naoya, Shiraishi, Yusuke, Namkoong, Ho, Tanaka, Hiromu, Shimada, Takashi, Fukushima, Takahiro, Otake, Shiro, Nakagawara, Kensuke, Watase, Mayuko, Terai, Hideki, Sasaki, Mamoru, Ueda, Soichiro, Kato, Yukari, Harada, Norihiro, Suzuki, Shoji, Yoshida, Shuichi, Tateno, Hiroki, Yamada, Yoshitake, Jinzaki, Masahiro, Hirai, Toyohiro, Okada, Yukinori, Koike, Ryuji, Ishii, Makoto, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2024
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5. Asthma is a risk factor for general fatigue of long COVID in Japanese nation-wide cohort study
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Sunata, Keeya, Miyata, Jun, Terai, Hideki, Matsuyama, Emiko, Watase, Mayuko, Namkoong, Ho, Asakura, Takanori, Masaki, Katsunori, Chubachi, Shotaro, Ohgino, Keiko, Kawada, Ichiro, Harada, Norihiro, Sasano, Hitoshi, Nakamura, Ai, Kusaka, Yu, Ohba, Takehiko, Nakano, Yasushi, Nishio, Kazumi, Nakajima, Yukiko, Suzuki, Shoji, Yoshida, Shuichi, Tateno, Hiroki, Ishii, Makoto, and Fukunaga, Koichi
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- 2024
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6. Integrated assessment of computed tomography density in pectoralis and erector spinae muscles as a prognostic biomarker for coronavirus disease 2019
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Nakagawara, Kensuke, Shiraishi, Yusuke, Chubachi, Shotaro, Tanabe, Naoya, Maetani, Tomoki, Asakura, Takanori, Namkoong, Ho, Tanaka, Hiromu, Shimada, Takashi, Azekawa, Shuhei, Otake, Shiro, Fukushima, Takahiro, Watase, Mayuko, Terai, Hideki, Sasaki, Mamoru, Ueda, Soichiro, Kato, Yukari, Harada, Norihiro, Suzuki, Shoji, Yoshida, Shuichi, Tateno, Hiroki, Yamada, Yoshitake, Jinzaki, Masahiro, Hirai, Toyohiro, Okada, Yukinori, Koike, Ryuji, Ishii, Makoto, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2024
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7. Characteristics of patients with COVID-19 who have deteriorating chest X-ray findings within 48 h: a retrospective cohort study
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Kusumoto, Tatsuya, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Nakagawara, Kensuke, Fukushima, Takahiro, Morita, Atsuho, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Edahiro, Ryuya, Murakami, Koji, Sato, Yasunori, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Tokunaga, Katsushi, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2023
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8. Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography – a multicenter retrospective cohort study in Japan
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Tanaka, Hiromu, Maetani, Tomoki, Chubachi, Shotaro, Tanabe, Naoya, Shiraishi, Yusuke, Asakura, Takanori, Namkoong, Ho, Shimada, Takashi, Azekawa, Shuhei, Otake, Shiro, Nakagawara, Kensuke, Fukushima, Takahiro, Watase, Mayuko, Terai, Hideki, Sasaki, Mamoru, Ueda, Soichiro, Kato, Yukari, Harada, Norihiro, Suzuki, Shoji, Yoshida, Shuichi, Tateno, Hiroki, Yamada, Yoshitake, Jinzaki, Masahiro, Hirai, Toyohiro, Okada, Yukinori, Koike, Ryuji, Ishii, Makoto, Hasegawa, Naoki, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2023
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9. Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2023
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10. Epicardial adipose tissue measured from analysis of adipose tissue area using chest CT imaging is the best potential predictor of COVID-19 severity
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Fukushima, Takahiro, Maetani, Tomoki, Chubachi, Shotaro, Tanabe, Naoya, Asakura, Takanori, Namkoong, Ho, Tanaka, Hiromu, Shimada, Takashi, Azekawa, Shuhei, Otake, Shiro, Nakagawara, Kensuke, Watase, Mayuko, Shiraishi, Yusuke, Terai, Hideki, Sasaki, Mamoru, Ueda, Soichiro, Kato, Yukari, Harada, Norihiro, Suzuki, Shoji, Yoshida, Shuichi, Tateno, Hiroki, Yamada, Yoshitake, Jinzaki, Masahiro, Hirai, Toyohiro, Okada, Yukinori, Koike, Ryuji, Ishii, Makoto, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2024
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11. Comprehensive analysis of long COVID in a Japanese nationwide prospective cohort study
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Terai, Hideki, Ishii, Makoto, Takemura, Ryo, Namkoong, Ho, Shimamoto, Kyoko, Masaki, Katsunori, Tanosaki, Takae, Chubachi, Shotaro, Matsuyama, Emiko, Hayashi, Reina, Shimada, Takashi, Shigematsu, Lisa, Ito, Fumimaro, Kaji, Masanori, Takaoka, Hatsuyo, Kurihara, Momoko, Nakagawara, Kensuke, Tomiyasu, Saki, Sasahara, Kotaro, Saito, Ayaka, Otake, Shiro, Azekawa, Shuhei, Okada, Masahiko, Fukushima, Takahiro, Morita, Atsuho, Tanaka, Hiromu, Sunata, Keeya, Asaoka, Masato, Nishie, Miyuki, Shinozaki, Taro, Ebisudani, Toshiki, Akiyama, Yuto, Mitsuishi, Akifumi, Nakayama, Shingo, Ogawa, Takunori, Sakurai, Kaori, Irie, Misato, Yagi, Kazuma, Ohgino, Keiko, Miyata, Jun, Kabata, Hiroki, Ikemura, Shinnosuke, Kamata, Hirofumi, Yasuda, Hiroyuki, Kawada, Ichiro, Kimura, Ryusei, Kondo, Masahiro, Iwasaki, Toshiki, Ishida, Noriyuki, Hiruma, Gaku, Miyazaki, Naoki, Ishibashi, Yoshiki, Harada, Sei, Fujita, Takanori, Ito, Daisuke, Bun, Shogyoku, Tabuchi, Hajime, Kanzaki, Sho, Shimizu, Eisuke, Fukuda, Keitaro, Yamagami, Jun, Kobayashi, Keigo, Hirano, Toshiyuki, Inoue, Takashi, Haraguchi, Mizuha, Kagyo, Junko, Shiomi, Tetsuya, Lee, Ho, Sugihara, Kai, Omori, Nao, Sayama, Koichi, Otsuka, Kengo, Miyao, Naoki, Odani, Toshio, Watase, Mayuko, Mochimaru, Takao, Satomi, Ryosuke, Oyamada, Yoshitaka, Masuzawa, Keita, Asakura, Takanori, Nakayama, Sohei, Suzuki, Yusuke, Baba, Rie, Okamori, Satoshi, Arai, Daisuke, Nakachi, Ichiro, Kuwahara, Naota, Fujiwara, Akiko, Oakada, Takenori, Ishiguro, Takashi, Isosno, Taisuke, Makino, Yasushi, Mashimo, Shuko, Kaido, Tatsuya, Minematsu, Naoto, Ueda, Soichiro, Minami, Kazuhiro, Hagiwara, Rie, Manabe, Tadashi, Fukui, Takahiro, Funatsu, Yohei, Koh, Hidefumi, Yoshiyama, Takashi, Kokuto, Hiroyuki, Kusumoto, Tatsuya, Oashi, Ayano, Miyawaki, Masayoshi, Saito, Fumitake, Tani, Tetsuo, Ishioka, Kota, Takahashi, Saeko, Nakamura, Morio, Harada, Norihiro, Sasano, Hitoshi, Goto, Ai, Kusaka, Yu, Ohba, Takehiko, Nakano, Yasushi, Nishio, Kazumi, Nakajima, Yukiko, Suzuki, Shoji, Yoshida, Shuichi, Tateno, Hiroki, Kodama, Nobuhiro, Shunsuke, Maeda, Sakamoto, Satoshi, Okamoto, Masaki, Nagasaki, Yoji, Umeda, Akira, Miyagawa, Kazuya, Shimada, Hisato, Hagimura, Kazuto, Nagashima, Kengo, Sato, Toshiro, Sato, Yasunori, Hasegawa, Naoki, Takebayashi, Toru, Nakahara, Jin, Mimura, Masaru, Ogawa, Kaoru, Shimmura, Shigeto, Negishi, Kazuno, Tsubota, Kazuo, Amagai, Masayuki, Goto, Rei, Ibuka, Yoko, Kitagawa, Yuko, Kanai, Takanori, and Fukunaga, Koichi
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- 2023
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12. Impact of accumulative smoking exposure and chronic obstructive pulmonary disease on COVID-19 outcomes: report based on findings from the Japan COVID-19 task force
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Watase, Mayuko, Masaki, Katsunori, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Fukushima, Takahiro, Otake, Shiro, Nakagawara, Kensuke, Kusumoto, Tatsuya, Asakura, Takanori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Oyamada, Yoshitaka, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Edahiro, Ryuya, Sano, Hirohito, Sato, Yasunori, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Tokunaga, Katsushi, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2023
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13. U-shaped association between abnormal serum uric acid levels and COVID-19 severity: reports from the Japan COVID-19 Task Force
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Fukushima, Takahiro, Chubachi, Shotaro, Namkoong, Ho, Otake, Shiro, Nakagawara, Kensuke, Tanaka, Hiromu, Lee, Ho, Morita, Atsuho, Watase, Mayuko, Kusumoto, Tatsuya, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Murakami, Koji, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2022
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14. Real-World Efficacy and Safety of Atezolizumab for Advanced Non-Small Cell Lung Cancer in Japan: A Retrospective Multicenter Analysis.
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Okada, Masahiko, Ohgino, Keiko, Horiuchi, Kohei, Sayama, Koichi, Arai, Daisuke, Watase, Mayuko, Kobayashi, Keigo, Terashima, Takeshi, Ishioka, Kota, Miyawaki, Masayoshi, Sakamaki, Fumio, Masuzawa, Keita, Terai, Hideki, Yasuda, Hiroyuki, Soejima, Kenzo, and Fukunaga, Koichi
- Subjects
NON-small-cell lung carcinoma ,CLINICAL trials ,IMMUNE checkpoint inhibitors ,OLDER patients ,FISHER exact test - Abstract
Background/Objectives: Atezolizumab, an immune checkpoint inhibitor (ICI), was used in a phase III clinical trial, i.e., the OAK trial, of previously treated patients with non-small cell lung cancer. We aimed to evaluate the real-world efficacy and safety of atezolizumab in a non-selected population and identify the clinical characteristics that influence its efficacy. Methods: This was a multicenter, retrospective, single-arm observational study. Seventy-four patients with advanced non-small cell lung cancer, who received atezolizumab monotherapy at Keio University and affiliated hospitals in Japan between April 2018 and March 2019, were enrolled. The follow-up period was until 28 February 2024. The efficacy of treatment and adverse events were reviewed retrospectively. Statistical analyses using Pearson's χ
2 test, Fisher's exact test, log-rank test, and Student's t-test were performed. Results: The median age of patients was 70 (range, 45–85) years. The overall survival duration was 7.54 (95% confidence interval [CI], 5.14–11.3) months, and the median time to treatment failure (TTF) was 2.00 (95% CI, 1.75–2.54) months. Patients treated with atezolizumab as their first ICI had a longer TTF than those treated with atezolizumab as their second or subsequent ICI (p = 0.04). Conclusions: Atezolizumab may be more effective when used as the first ICI for previously treated patients and may be safely used in elderly patients with non-small cell lung cancer in real-world settings. [ABSTRACT FROM AUTHOR]- Published
- 2024
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15. Impact of upper and lower respiratory symptoms on COVID-19 outcomes: a multicenter retrospective cohort study
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Nakagawara, Kensuke, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Azekawa, Shuhei, Otake, Shiro, Fukushima, Takahiro, Morita, Atsuho, Watase, Mayuko, Sakurai, Kaori, Kusumoto, Tatsuya, Asakura, Takanori, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Edahiro, Ryuya, Murakami, Koji, Sato, Yasunori, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Tokunaga, Katsushi, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2022
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16. Clinical clustering with prognostic implications in Japanese COVID-19 patients: report from Japan COVID-19 Task Force, a nation-wide consortium to investigate COVID-19 host genetics
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Otake, Shiro, Chubachi, Shotaro, Namkoong, Ho, Nakagawara, Kensuke, Tanaka, Hiromu, Lee, Ho, Morita, Atsuho, Fukushima, Takahiro, Watase, Mayuko, Kusumoto, Tatsuya, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Murakami, Koji, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2022
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17. Effects of mild obesity on outcomes in Japanese patients with COVID-19: a nationwide consortium to investigate COVID-19 host genetics
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Lee, Ho, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Otake, Shiro, Nakagawara, Kensuke, Morita, Atsuho, Fukushima, Takahiro, Watase, Mayuko, Kusumoto, Tatsuya, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Murakami, Koji, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2022
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18. Characteristics of hospitalized patients with COVID-19 during the first to fifth waves of infection: a report from the Japan COVID-19 Task Force
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Lee, Ho, Chubachi, Shotaro, Namkoong, Ho, Asakura, Takanori, Tanaka, Hiromu, Otake, Shiro, Nakagawara, Kensuke, Morita, Atsuho, Fukushima, Takahiro, Watase, Mayuko, Kusumoto, Tatsuya, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Murakami, Koji, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
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- 2022
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19. Prognostic significance of chronic kidney disease and impaired renal function in Japanese patients with COVID-19
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Tanaka, Hiromu, primary, Chubachi, Shotaro, additional, Asakura, Takanori, additional, Namkoong, Ho, additional, Azekawa, Shuhei, additional, Otake, Shiro, additional, Nakagawara, Kensuke, additional, Fukushima, Takahiro, additional, Lee, Ho, additional, Watase, Mayuko, additional, Sakurai, Kaori, additional, Kusumoto, Tatsuya, additional, Masaki, Katsunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Hasegawa, Naoki, additional, Okada, Yukinori, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
- Published
- 2024
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20. Combined use of serum ferritin and KL-6 levels as biomarkers for predicting COVID-19 severity
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Tanaka, Hiromu, Toya, Erika, Chubachi, Shotaro, Namkoong, Ho, Asakura, Takanori, Azekawa, Shuhei, Otake, Shiro, Nakagawara, Kensuke, Fukushima, Takahiro, Watase, Mayuko, Sakurai, Kaori, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Published
- 2024
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21. Corrigendum to ‘Impact of accumulative smoking exposure and chronic obstructive pulmonary disease on COVID-19 outcomes: report based on findings from the Japan COVID-19 task force’ [IJID 128 (2023) 121–127]
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Watase, Mayuko, Masaki, Katsunori, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Fukushima, Takahiro, Otake, Shiro, Nakagawara, Kensuke, Kusumoto, Tatsuya, Asakura, Takanori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Oyamada, Yoshitaka, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Edahiro, Ryuya, Sano, Hirohito, Sato, Yasunori, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Tokunaga, Katsushi, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Published
- 2025
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22. Longitudinal long COVID symptoms in Japanese patients after COVID-19 vaccinations
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Nakagawara, Kensuke, primary, Morita, Atsuho, additional, Namkoong, Ho, additional, Terai, Hideki, additional, Chubachi, Shotaro, additional, Asakura, Takanori, additional, Tanaka, Hiromu, additional, Ito, Fumimaro, additional, Matsuyama, Emiko, additional, Kaji, Masanori, additional, Saito, Ayaka, additional, Takaoka, Hatsuyo, additional, Okada, Masahiko, additional, Sunata, Keeya, additional, Watase, Mayuko, additional, Yagi, Kazuma, additional, Ohgino, Keiko, additional, Miyata, Jun, additional, Kamata, Hirofumi, additional, Kawada, Ichiro, additional, Kobayashi, Keigo, additional, Hirano, Toshiyuki, additional, Inoue, Takashi, additional, Kagyo, Junko, additional, Shiomi, Tetsuya, additional, Otsuka, Kengo, additional, Miyao, Naoki, additional, Odani, Toshio, additional, Baba, Rie, additional, Arai, Daisuke, additional, Nakachi, Ichiro, additional, Ueda, Soichiro, additional, Funatsu, Yohei, additional, Koh, Hidefumi, additional, Ishioka, Kota, additional, Takahashi, Saeko, additional, Nakamura, Morio, additional, Sato, Toshiro, additional, Hasegawa, Naoki, additional, Kitagawa, Yuko, additional, Kanai, Takanori, additional, Ishii, Makoto, additional, and Fukunaga, Koichi, additional
- Published
- 2023
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23. Cough and sputum in long COVID are associated with severe acute COVID-19: a Japanese cohort study
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Watase, Mayuko, primary, Miyata, Jun, additional, Terai, Hideki, additional, Sunata, Keeya, additional, Matsuyama, Emiko, additional, Asakura, Takanori, additional, Namkoong, Ho, additional, Masaki, Katsunori, additional, Yagi, Kazuma, additional, Ohgino, Keiko, additional, Chubachi, Shotaro, additional, Kawada, Ichiro, additional, Mochimaru, Takao, additional, Satomi, Ryosuke, additional, Oyamada, Yoshitaka, additional, Kobayashi, Keigo, additional, Hirano, Toshiyuki, additional, Inoue, Takashi, additional, Lee, Ho, additional, Sugihara, Kai, additional, Omori, Nao, additional, Sayama, Koichi, additional, Mashimo, Shuko, additional, Makino, Yasushi, additional, Kaido, Tatsuya, additional, Ishii, Makoto, additional, and Fukunaga, Koichi, additional
- Published
- 2023
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24. Asthma is a risk factor for general fatigue of long COVID in Japanese nation-wide cohort study
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Sunata, Keeya, primary, Miyata, Jun, additional, Terai, Hideki, additional, Matsuyama, Emiko, additional, Watase, Mayuko, additional, Namkoong, Ho, additional, Asakura, Takanori, additional, Masaki, Katsunori, additional, Chubachi, Shotaro, additional, Ohgino, Keiko, additional, Kawada, Ichiro, additional, Harada, Norihiro, additional, Sasano, Hitoshi, additional, Nakamura, Ai, additional, Kusaka, Yu, additional, Ohba, Takehiko, additional, Nakano, Yasushi, additional, Nishio, Kazumi, additional, Nakajima, Yukiko, additional, Suzuki, Shoji, additional, Yoshida, Shuichi, additional, Tateno, Hiroki, additional, Ishii, Makoto, additional, and Fukunaga, Koichi, additional
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- 2023
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25. Clinical characteristics of patients with COVID-19 harboring detectable intracellular SARS-CoV-2 RNA in peripheral blood cells
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Tanaka, Hiromu, primary, Namkoong, Ho, additional, Chubachi, Shotaro, additional, Irie, Shinji, additional, Uwamino, Yoshifumi, additional, Lee, Ho, additional, Azekawa, Shuhei, additional, Otake, Shiro, additional, Nakagawara, Kensuke, additional, Fukushima, Takahiro, additional, Watase, Mayuko, additional, Kusumoto, Tatsuya, additional, Masaki, Katsunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Okada, Yukinori, additional, Takano, Tomomi, additional, Imoto, Seiya, additional, Koike, Ryuji, additional, Kimura, Akinori, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, Sato, Taka-Aki, additional, and Fukunaga, Koichi, additional
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- 2023
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26. Propensity-Score Matched Analysis of the Effectiveness of Baricitinib in Patients With Coronavirus Disease 2019 (COVID-19) Using Nationwide Real-World Data: An Observational Matched Cohort Study From the Japan COVID-19 Task Force
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Tanaka, Hiromu, primary, Chubachi, Shotaro, additional, Namkoong, Ho, additional, Sato, Yasunori, additional, Asakura, Takanori, additional, Lee, Ho, additional, Azekawa, Shuhei, additional, Otake, Shiro, additional, Nakagawara, Kensuke, additional, Fukushima, Takahiro, additional, Watase, Mayuko, additional, Sakurai, Kaori, additional, Kusumoto, Tatsuya, additional, Kondo, Yasushi, additional, Masaki, Katsunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Kaneko, Yuko, additional, Hasegawa, Naoki, additional, Ueda, Soichiro, additional, Sasaki, Mamoru, additional, Izumo, Takehiro, additional, Inomata, Minoru, additional, Miyazawa, Naoki, additional, Kimura, Yasuhiro, additional, Suzuki, Yusuke, additional, Harada, Norihiro, additional, Ichikawa, Masako, additional, Takata, Tohru, additional, Ishikura, Hiroyasu, additional, Yoshiyama, Takashi, additional, Kokuto, Hiroyuki, additional, Murakami, Koji, additional, Sano, Hirohito, additional, Ueda, Tetsuya, additional, Kuwahara, Naota, additional, Fujiwara, Akiko, additional, Ogura, Takashi, additional, Inoue, Takashi, additional, Asami, Takahiro, additional, Mutoh, Yoshikazu, additional, Nakachi, Ichiro, additional, Baba, Rie, additional, Nishi, Koichi, additional, Tani, Mayuko, additional, Kagyo, Junko, additional, Hashiguchi, Mizuha, additional, Oguma, Tsuyoshi, additional, Asano, Koichiro, additional, Nishikawa, Masanori, additional, Watanabe, Hiroki, additional, Okada, Yukinori, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
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- 2023
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27. Serum KL-6 levels predict clinical outcomes and are associated withMUC1polymorphism in Japanese patients with COVID-19
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Azekawa, Shuhei, primary, Chubachi, Shotaro, additional, Asakura, Takanori, additional, Namkoong, Ho, additional, Sato, Yasunori, additional, Edahiro, Ryuya, additional, Lee, Ho, additional, Tanaka, Hiromu, additional, Otake, Shiro, additional, Nakagawara, Kensuke, additional, Fukushima, Takahiro, additional, Watase, Mayuko, additional, Sakurai, Kaori, additional, Kusumoto, Tatsuya, additional, Masaki, Katsunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Hasegawa, Naoki, additional, Okada, Yukinori, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
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- 2023
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28. Characteristics and Clinical Effectiveness of COVID-19 Vaccination in Hospitalized Patients in Omicron-dominated Epidemic Wave – A Nationwide Study in Japan
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Tanaka, Hiromu, primary, Chubachi, Shotaro, additional, Asakura, Takanori, additional, Namkoong, Ho, additional, Azekawa, Shuhei, additional, Otake, Shiro, additional, Nakagawara, Kensuke, additional, Fukushima, Takahiro, additional, Lee, Ho, additional, Watase, Mayuko, additional, Sakurai, Kaori, additional, Kusumoto, Tatsuya, additional, Masaki, Katsunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Hasegawa, Naoki, additional, Okada, Yukinori, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
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- 2023
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29. Use of the neutrophil-to-lymphocyte ratio and an oxygen requirement to predict disease severity in patients with COVID-19
- Author
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Ozawa, Takuya, primary, Asakura, Takanori, additional, Chubachi, Shotaro, additional, Namkoong, Ho, additional, Tanaka, Hiromu, additional, Lee, Ko, additional, Fukushima, Takahiro, additional, Otake, Shiro, additional, Nakagawara, Kensuke, additional, Watase, Mayuko, additional, Masaki, Katunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Hasegawa, Naoki, additional, Harada, Norihiro, additional, Ueda, Tetsuya, additional, Ueda, Soichiro, additional, Ishiguro, Takashi, additional, Arimura, Ken, additional, Saito, Fukuki, additional, Yoshiyama, Takashi, additional, Nakano, Yasushi, additional, Mutoh, Yoshikazu, additional, Suzuki, Yusuke, additional, Edahiro, Ryuya, additional, Murakami, Koji, additional, Okada, Yukinori, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Tokunaga, Katsushi, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
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- 2023
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30. Diagnostic and prognostic biomarkers for progressive fibrosing interstitial lung disease
- Author
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Watase, Mayuko, primary, Mochimaru, Takao, additional, Kawase, Honomi, additional, Shinohara, Hiroyuki, additional, Sagawa, Shinobu, additional, Ikeda, Toshiki, additional, Yagi, Shota, additional, Yamamura, Hiroyuki, additional, Matsuyama, Emiko, additional, Kaji, Masanori, additional, Kurihara, Momoko, additional, Sato, Midori, additional, Horiuchi, Kohei, additional, Watanabe, Risa, additional, Nukaga, Shigenari, additional, Irisa, Kaoru, additional, Satomi, Ryosuke, additional, and Oyamada, Yoshitaka, additional
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- 2023
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31. Additional file 8 of Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
- Author
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 8. Proportion of thrombosis and myocardial injury in bacterial respiratory co-infection and secondary infection with coronavirus disease 2019.
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- 2023
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32. Additional file 6 of Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
- Author
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 6. Admission to intensive care unitand use of invasive mechanical ventilationof bacterial respiratory infection with coronavirus disease 2019.
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- 2023
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33. Additional file 4 of Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
- Author
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 4. Details of respiratory secondary infection.
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- 2023
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34. Additional file 5 of Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
- Author
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 5. Association of anti-IL-6 receptor antibody use with incidence of secondary infection and death.
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- 2023
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35. Additional file 2 of Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
- Author
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 2. Evaluation of white blood cells, neutrophils, lymphocytes, neutrophil-lymphocyte ratio, C-reactive protein, and procalcitonin on admission as predictors of respiratory bacterial co-infection based on the area under the curve
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- 2023
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36. Additional file 1 of Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
- Author
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 1. Identification of organisms in ventilator-associated pneumoniacases
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- 2023
- Full Text
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37. Additional file 7 of Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
- Author
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 7. Forest plot of adjusted oddsratios by multivariate logistic regression analysis of risk factors of death in patients of coronavirus disease 2019with secondary infection except ventilator-associated pneumoniaand VAP.
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- 2023
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38. Additional file 3 of Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study
- Author
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Nakagawara, Kensuke, Kamata, Hirofumi, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Otake, Shiro, Fukushima, Takahiro, Kusumoto, Tatsuya, Morita, Atsuho, Azekawa, Shuhei, Watase, Mayuko, Asakura, Takanori, Masaki, Katsunori, Ishii, Makoto, Endo, Akifumi, Koike, Ryuji, Ishikura, Hiroyasu, Takata, Tohru, Matsushita, Yasushi, Harada, Norihiro, Kokutou, Hiroyuki, Yoshiyama, Takashi, Kataoka, Kensuke, Mutoh, Yoshikazu, Miyawaki, Masayoshi, Ueda, Soichiro, Ono, Hiroshi, Ono, Takuya, Shoko, Tomohisa, Muranaka, Hiroyuki, Kawamura, Kodai, Mori, Nobuaki, Mochimaru, Takao, Fukui, Mototaka, Chihara, Yusuke, Nagasaki, Yoji, Okamoto, Masaki, Amishima, Masaru, Odani, Toshio, Tani, Mayuko, Nishi, Koichi, Shirai, Yuya, Edahiro, Ryuya, Ando, Akira, Hashimoto, Naozumi, Ogura, Shinji, Kitagawa, Yuichiro, Kita, Toshiyuki, Kagaya, Takashi, Kimura, Yasuhiro, Miyazawa, Naoki, Tsuchida, Tomoya, Fujitani, Shigeki, Murakami, Koji, Sano, Hirohito, Sato, Yuki, Tanino, Yoshinori, Otsuki, Ryo, Mashimo, Shuko, Kuramochi, Mizuki, Hosoda, Yasuo, Hasegawa, Yoshinori, Ueda, Tetsuya, Takaku, Yotaro, Ishiguro, Takashi, Fujiwara, Akiko, Kuwahara, Naota, Kitamura, Hideya, Hagiwara, Eri, Nakamori, Yasushi, Saito, Fukuki, Kono, Yuta, Abe, Shinji, Ishii, Tomoo, Ohba, Takehiko, Kusaka, Yu, Watanabe, Hiroko, Masuda, Makoto, Watanabe, Hiroki, Kimizuka, Yoshifumi, Kawana, Akihiko, Kasamatsu, Yu, Hashimoto, Satoru, Okada, Yukinori, Takano, Tomomi, Katayama, Kazuhiko, Ai, Masumi, Kumanogoh, Atsushi, Sato, Toshiro, Tokunaga, Katsushi, Imoto, Seiya, Kitagawa, Yuko, Kimura, Akinori, Miyano, Satoru, Hasegawa, Naoki, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 3. Neutrophil-lymphocyte ratioas a predictor of co-infection in steroid and non-steroid users
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- 2023
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39. Characteristics of patients with COVID-19 who have deteriorating chest X-ray findings within 48 hours: a retrospective cohort study
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Kusumoto, Tatsuya, primary, Chubachi, Shotaro, additional, Namkoong, Ho, additional, Tanaka, Hiromu, additional, Lee, Ho, additional, Otake, Shiro, additional, Nakagawara, Kensuke, additional, Fukushima, Takahiro, additional, Morita, Atsuho, additional, Watase, Mayuko, additional, Asakura, Takanori, additional, Masaki, Katunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Hasegawa, Naoki, additional, Harada, Norihiro, additional, Ueda, Tetsuya, additional, Ueda, Soichiro, additional, Ishiguro, Takashi, additional, Arimura, Ken, additional, Saito, Fukuki, additional, Yoshiyama, Takashi, additional, Nakano, Yasushi, additional, Mutoh, Yoshikazu, additional, Suzuki, Yusuke, additional, Edahiro, Ryuya, additional, Murakami, Koji, additional, Sato, Yasunori, additional, Okada, Yukinori, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Tokunaga, Katsushi, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
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- 2023
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40. Diagnostic significance of secondary bacteremia in patients with COVID-19
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Nakagawara, Kensuke, primary, Kamata, Hirofumi, additional, Chubachi, Shotaro, additional, Namkoong, Ho, additional, Tanaka, Hiromu, additional, Lee, Ho, additional, Otake, Shiro, additional, Fukushima, Takahiro, additional, Kusumoto, Tatsuya, additional, Morita, Atsuho, additional, Azekawa, Shuhei, additional, Watase, Mayuko, additional, Asakura, Takanori, additional, Masaki, Katsunori, additional, Ishii, Makoto, additional, Endo, Akifumi, additional, Koike, Ryuji, additional, Ishikura, Hiroyasu, additional, Takata, Tohru, additional, Matsushita, Yasushi, additional, Harada, Norihiro, additional, Kokutou, Hiroyuki, additional, Yoshiyama, Takashi, additional, Kataoka, Kensuke, additional, Mutoh, Yoshikazu, additional, Miyawaki, Masayoshi, additional, Ueda, Soichiro, additional, Ono, Hiroshi, additional, Ono, Takuya, additional, Shoko, Tomohisa, additional, Muranaka, Hiroyuki, additional, Kawamura, Kodai, additional, Mori, Nobuaki, additional, Mochimaru, Takao, additional, Fukui, Mototaka, additional, Chihara, Yusuke, additional, Nagasaki, Yoji, additional, Okamoto, Masaki, additional, Amishima, Masaru, additional, Odani, Toshio, additional, Tani, Mayuko, additional, Nishi, Koichi, additional, Shirai, Yuya, additional, Edahiro, Ryuya, additional, Ando, Akira, additional, Hashimoto, Naozumi, additional, Ogura, Shinji, additional, Kitagawa, Yuichiro, additional, Kita, Toshiyuki, additional, Kagaya, Takashi, additional, Kimura, Yasuhiro, additional, Miyazawa, Naoki, additional, Tsuchida, Tomoya, additional, Fujitani, Shigeki, additional, Murakami, Koji, additional, Sano, Hirohito, additional, Sato, Yuki, additional, Tanino, Yoshinori, additional, Otsuki, Ryo, additional, Mashimo, Shuko, additional, Kuramochi, Mizuki, additional, Hosoda, Yasuo, additional, Hasegawa, Yoshinori, additional, Ueda, Tetsuya, additional, Takaku, Yotaro, additional, Ishiguro, Takashi, additional, Fujiwara, Akiko, additional, Kuwahara, Naota, additional, Kitamura, Hideya, additional, Hagiwara, Eri, additional, Nakamori, Yasushi, additional, Saito, Fukuki, additional, Kono, Yuta, additional, Abe, Shinji, additional, Ishii, Tomoo, additional, Ohba, Takehiko, additional, Kusaka, Yu, additional, Watanabe, Hiroko, additional, Masuda, Makoto, additional, Watanabe, Hiroki, additional, Kimizuka, Yoshifumi, additional, Kawana, Akihiko, additional, Kasamatsu, Yu, additional, Hashimoto, Satoru, additional, Okada, Yukinori, additional, Takano, Tomomi, additional, Katayama, Kazuhiko, additional, Ai, Masumi, additional, Kumanogoh, Atsushi, additional, Sato, Toshiro, additional, Tokunaga, Katsushi, additional, Imoto, Seiya, additional, Kitagawa, Yuko, additional, Kimura, Akinori, additional, Miyano, Satoru, additional, Hasegawa, Naoki, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
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- 2023
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41. Association between ABO blood group/genotype and COVID-19 in a Japanese population
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Kusumoto, Tatsuya, primary, Chubachi, Shotaro, additional, Namkoong, Ho, additional, Tanaka, Hiromu, additional, Lee, Ho, additional, Azekawa, Shuhei, additional, Otake, Shiro, additional, Nakagawara, Kensuke, additional, Fukushima, Takahiro, additional, Morita, Atsuho, additional, Watase, Mayuko, additional, Sakurai, Kaori, additional, Asakura, Takanori, additional, Masaki, Katunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Hasegawa, Naoki, additional, Harada, Norihiro, additional, Ueda, Tetsuya, additional, Ueda, Soichiro, additional, Ishiguro, Takashi, additional, Arimura, Ken, additional, Saito, Fukuki, additional, Yoshiyama, Takashi, additional, Nakano, Yasushi, additional, Mutoh, Yoshikazu, additional, Suzuki, Yusuke, additional, Edahiro, Ryuya, additional, Sano, Hirohito, additional, Sato, Yasunori, additional, Okada, Yukinori, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Tokunaga, Katsushi, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
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- 2022
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42. Additional file 1 of Impact of upper and lower respiratory symptoms on COVID-19 outcomes: a multicenter retrospective cohort study
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Nakagawara, Kensuke, Chubachi, Shotaro, Namkoong, Ho, Tanaka, Hiromu, Lee, Ho, Azekawa, Shuhei, Otake, Shiro, Fukushima, Takahiro, Morita, Atsuho, Watase, Mayuko, Sakurai, Kaori, Kusumoto, Tatsuya, Asakura, Takanori, Masaki, Katsunori, Kamata, Hirofumi, Ishii, Makoto, Hasegawa, Naoki, Harada, Norihiro, Ueda, Tetsuya, Ueda, Soichiro, Ishiguro, Takashi, Arimura, Ken, Saito, Fukuki, Yoshiyama, Takashi, Nakano, Yasushi, Mutoh, Yoshikazu, Suzuki, Yusuke, Edahiro, Ryuya, Murakami, Koji, Sato, Yasunori, Okada, Yukinori, Koike, Ryuji, Kitagawa, Yuko, Tokunaga, Katsushi, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, and Fukunaga, Koichi
- Abstract
Additional file 1. Supplemental Figure 1. Study flow chart of patient identification and selectionStudy flow chart of patient identification and selection. A total of 117 records were excluded from the 3431 cases registered in the coronavirus disease 2019 (COVID-19) taskforce database owing to lack of essential clinical information. Ultimately, 3314 patients met the eligibility criteria, of which 2709 had respiratory symptoms. Supplemental Figure 2. Frequency of assisted respiration therapy and death in all four groups (a) Univariate analysis of the proportion of high-flow oxygen therapy with COVID-19 in each group. (b) Univariate analysis of the proportion of use of invasive mechanical ventilation (IMV) with COVID-19 in each group. (c) Univariate analysis of the proportion of use of extracorporeal membrane oxygenation (ECMO) with COVID-19 in each group. (d) Univariate analysis of the proportion of death with COVID-19 in each group. Supplemental Table 1. Common non-respiratory symptoms in each group.
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- 2022
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43. Comprehensive Analysis of Long COVID in a Japanese Nationwide Prospective Cohort Study
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Terai, Hideki, primary, Ishii, Makoto, additional, Takemura, Ryo, additional, Namkoong, Ho, additional, Shimamoto, Kyoko, additional, Masaki, Katsunori, additional, Tanosaki, Takae, additional, Chubachi, Shotaro, additional, Matsuyama, Emiko, additional, Hayashi, Reina, additional, Shimada, Takashi, additional, Shigematsu, Lisa, additional, Ito, Fumimaro, additional, Kaji, Masanori, additional, Takaoka, Hatsuyo, additional, Kurihara, Momoko, additional, Nakagawara, Kensuke, additional, Tomiyasu, Saki, additional, Sasahara, Kotaro, additional, Saito, Ayaka, additional, Otake, Shiro, additional, Azegawa, Shuhei, additional, Okada, Masahiko, additional, Fukushima, Takahiro, additional, Morita, Atsuho, additional, Tanaka, Hiromu, additional, Sunata, Keeya, additional, Asaoka, Masato, additional, Nishie, Miyuki, additional, Shinozaki, Taro, additional, Ebisudani, Toshiki, additional, Akiyama, Yuto, additional, Mitsuishi, Akifumi, additional, Nakayama, Shingo, additional, Ogawa, Takunori, additional, Sakurai, Kaori, additional, Kuwae, Misato, additional, Yagi, Kazuma, additional, Ohgino, Keiko, additional, Miyata, Jun, additional, Kabata, Hiroki, additional, Ikemura, Shinnosuke, additional, Kamata, Hirofumi, additional, Yasuda, Hiroyuki, additional, Kawada, Ichiro, additional, Kimura, Ryusei, additional, Kondo, Masahiro, additional, Iwasaki, Toshiki, additional, Ishida, Noriyuki, additional, Hiruma, Gaku, additional, Miyazaki, Naoki, additional, Ishibashi, Yoshiki, additional, Harada, Sei, additional, Fujita, Takanori, additional, Ito, Daisuke, additional, Bun, Shogyoku, additional, Tabuchi, Hajime, additional, Kanzaki, Sho, additional, Shimizu, Eisuke, additional, Fukuda, Keitaro, additional, Yamagami, Jun, additional, Kobayashi, Keigo, additional, Hirano, Toshiyuki, additional, Inoue, Takashi, additional, Hashiguchi, Mizuha, additional, Kagyo, Junko, additional, Shiomi, Tetsuya, additional, Lee, Ho, additional, Sugihara, Kai, additional, Omori, Nao, additional, Sayama, Koichi, additional, Otsuka, Kengo, additional, Miyao, Naoki, additional, Odani, Toshio, additional, Mochimaru, Takao, additional, Satomi, Ryosuke, additional, Oyamada, Yoshitaka, additional, Masuzawa, Keita, additional, Asakura, Takanori, additional, Watase, Mayuko, additional, Nakayama, Sohei, additional, Suzuki, Yusuke, additional, Baba, Rie, additional, Okamori, Satoshi, additional, Arai, Daisuke, additional, Nakachi, Ichiro, additional, Kuwahara, Naota, additional, Fujiwara, Akiko, additional, Okada, Takenori, additional, Ishiguro, Takashi, additional, Isono, Taisuke, additional, Makino, Yasushi, additional, Mashimo, Shuko, additional, Kaido, Tatsuya, additional, Minematsu, Naoto, additional, Ueda, Soichiro, additional, Minami, Kazuhiro, additional, Hagiwara, Rie, additional, Manabe, Tadashi, additional, Fukui, Takahiro, additional, Funatsu, Yohei, additional, Koh, Hidefumi, additional, Yoshiyama, Takashi, additional, Kokuto, Hiroyuki, additional, Kusumoto, Tatsuya, additional, Oashi, Ayano, additional, Miyawaki, Masayoshi, additional, Saito, Fumitake, additional, Tani, Tetsuo, additional, Ishioka, Kota, additional, Takahashi, Saeko, additional, Nakamura, Morio, additional, Harada, Norihiro, additional, Sasano, Hitoshi, additional, Nakamura, Ai, additional, Kusaka, Yu, additional, Ohba, Takehiko, additional, Nakano, Yasushi, additional, Nishio, Kazumi, additional, Nakajima, Yukiko, additional, Suzuki, Shoji, additional, Yoshida, Shuichi, additional, Tateno, Hiroki, additional, Kodama, Nobuhiro, additional, Maeda, Shunsuke, additional, Sakamoto, Satoshi, additional, Okamoto, Masaki, additional, Nagasaki, Yoji, additional, Umeda, Akira, additional, Miyagawa, Kasuya, additional, Shimada, Naoto, additional, Hagimura, Kazuto, additional, Nagashima, Kengo, additional, Sato, Toshiro, additional, Sato, Yasunori, additional, Hasegawa, Naoki, additional, Takebayashi, Toru, additional, Nakahara, Jin, additional, Mimura, Masaru, additional, Ogawa, Kaoru, additional, Shimmura, Shigeto, additional, Negishi, Kazuno, additional, Tsubota, Kazuo, additional, Amagai, Masayuki, additional, Goto, Rei, additional, Ibuka, Yoko, additional, Kitagawa, Yuko, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
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- 2022
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44. Clinical Clustering with Prognostic Implications in Japanese COVID-19 Patients: Report from Japan COVID-19 Task Force, a Nation-Wide Consortium to Investigate COVID-19 Host Genetics
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Otake, Shiro, primary, Chubachi, Shotaro, additional, Namkoong, Ho, additional, Nakagawara, Kensuke, additional, Tanaka, Hiromu, additional, Lee, Ho, additional, Morita, Atsuho, additional, Fukushima, Takahiro, additional, Watase, Mayuko, additional, Kusumoto, Tatsuya, additional, Masaki, Katsunori, additional, Kamata, Hirofumi, additional, Ishii, Makoto, additional, Hasegawa, Naoki, additional, Harada, Norihiro, additional, Ueda, Tetsuya, additional, Ueda, Soichiro, additional, Ishiguro, Takashi, additional, Arimura, Ken, additional, Saito, Fukuki, additional, Yoshiyama, Takashi, additional, Nakano, Yasushi, additional, Mutoh, Yoshikazu, additional, Suzuki, Yusuke, additional, Murakami, Koji, additional, Okada, Yukinori, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Fukunaga, Koichi, additional
- Published
- 2021
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45. An Adult Case of Pulmonary Artery Sling Accompanied by Tracheobronchomalacia
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Imoto, Sahoko, primary, Satomi, Ryosuke, additional, Watase, Mayuko, additional, So, Matsuo, additional, Murakami, Hiroaki, additional, Hosoo, Sakiko, additional, Miwa, Iio, additional, Fujimoto, Kazuyuki, additional, Nukaga, Shigenari, additional, Yagi, Kazuma, additional, Oguro, Sota, additional, Oyama, Takahiko, additional, Kato, Ryoichi, additional, and Oyamada, Yoshitaka, additional
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- 2019
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46. Long COVID among the first three waves of COVID-19 in Japan: a multicentre cohort study.
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Takaoka H, Kawada I, Hiruma G, Nagashima K, Terai H, Ishida N, Namkoong H, Asakura T, Masaki K, Miyata J, Chubachi S, Ohgino K, Otsuka K, Miyao N, Odani T, Watase M, Baba R, Okamori S, Arai D, Nakachi I, Kuwahara N, Fujiwara A, Okada T, Ishiguro T, Isono T, Ishii M, Sato Y, and Fukunaga K
- Subjects
- Humans, Japan epidemiology, Male, Female, Middle Aged, Aged, Prospective Studies, Hospitalization statistics & numerical data, Post-Acute COVID-19 Syndrome, Adult, Comorbidity, Risk Factors, Aged, 80 and over, Cohort Studies, COVID-19 epidemiology, COVID-19 therapy, SARS-CoV-2
- Abstract
Objectives: Severe acute respiratory syndrome coronavirus 2 significantly impacts Japan with a high number of infections and deaths reported. Long coronavirus disease (COVID) characterised by persistent symptoms after COVID-19 has gained recognition but varies across studies. This study aimed to investigate the differences in long COVID among patients hospitalised during Japan's first three waves of the pandemic., Design: Multicentre prospective cohort study., Setting: 26 medical facilities across Japan between February 2020 and February 2021., Participants: In total, 1066 hospitalised patients diagnosed with COVID-19 were included with 206, 301 and 559 patients in the first, second and third waves, respectively. Data were collected using electronic data capture and patient-reported outcome forms., Primary and Secondary Outcome Measures: Long COVID was assessed at 3, 6 and 12 months after COVID-19 diagnosis., Results: Significant differences were observed between the waves in various baseline and clinical characteristics such as age, body mass index (BMI), comorbidities, the severity of COVID-19, complications and treatment during hospitalisation. Long COVID, particularly dyspnoea, was most prevalent in the first wave. Multivariate logistic regression analysis confirmed a significant positive association between the first wave and long COVID including dyspnoea after adjusting for age, sex, BMI, smoking status and COVID-19 severity., Conclusions: Patients hospitalised during the first wave had a higher risk of experiencing long COVID, especially dyspnoea, than those hospitalised during the other waves. These findings underscore the need for continued monitoring and managing long COVID in COVID-19 survivors, particularly in those hospitalised during the first wave., Trial Registration Number: UMIN000042299., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2024
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47. Lung volume measurement using chest CT in COVID-19 patients: a cohort study in Japan.
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Otake S, Shiraishi Y, Chubachi S, Tanabe N, Maetani T, Asakura T, Namkoong H, Shimada T, Azekawa S, Nakagawara K, Tanaka H, Fukushima T, Watase M, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Hasegawa N, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, and Fukunaga K
- Subjects
- Humans, Male, Female, Retrospective Studies, Aged, Middle Aged, Japan epidemiology, Prognosis, Cohort Studies, Aged, 80 and over, COVID-19 diagnostic imaging, COVID-19 epidemiology, Tomography, X-Ray Computed, Lung Volume Measurements methods, Lung diagnostic imaging, SARS-CoV-2
- Abstract
Objective: This study aimed to investigate the utility of CT quantification of lung volume for predicting critical outcomes in COVID-19 patients., Methods: This retrospective cohort study included 1200 hospitalised patients with COVID-19 from 4 hospitals. Lung fields were extracted using artificial intelligence-based segmentation, and the percentage of the predicted (%pred) total lung volume (TLC (%pred)) was calculated. The incidence of critical outcomes and posthospitalisation complications was compared between patients with low and high CT lung volumes classified based on the median percentage of predicted TLC
ct (n=600 for each). Prognostic factors for residual lung volume loss were investigated in 208 patients with COVID-19 via a follow-up CT after 3 months., Results: The incidence of critical outcomes was higher in the low TLCct (%pred) group than in the high TLCct (%pred) group (14.2% vs 3.3%, p<0.0001). Multivariable analysis of previously reported factors (age, sex, body mass index and comorbidities) demonstrated that CT-derived lung volume was significantly associated with critical outcomes. The low TLCct (%pred) group exhibited a higher incidence of bacterial infection, heart failure, thromboembolism, liver dysfunction and renal dysfunction than the high TLCct (%pred) group. TLCct (%pred) at 3 months was similarly divided into two groups at the median (71.8%). Among patients with follow-up CT scans, lung volumes showed a recovery trend from the time of admission to 3 months but remained lower in critical cases at 3 months., Conclusion: Lower CT lung volume was associated with critical outcomes, posthospitalisation complications and slower improvement of clinical conditions in COVID-19 patients., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)- Published
- 2024
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48. Serum KL-6 levels predict clinical outcomes and are associated with MUC1 polymorphism in Japanese patients with COVID-19.
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Azekawa S, Chubachi S, Asakura T, Namkoong H, Sato Y, Edahiro R, Lee H, Tanaka H, Otake S, Nakagawara K, Fukushima T, Watase M, Sakurai K, Kusumoto T, Masaki K, Kamata H, Ishii M, Hasegawa N, Okada Y, Koike R, Kitagawa Y, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, and Fukunaga K
- Subjects
- Humans, Retrospective Studies, East Asian People, Genome-Wide Association Study, Biomarkers, Mucin-1 genetics, COVID-19 genetics
- Abstract
Background: Krebs von den Lungen-6 (KL-6) is a known biomarker for diagnosis and monitoring of interstitial lung diseases. However, the role of serum KL-6 and the mucin 1 ( MUC1 ) variant (rs4072037) in COVID-19 outcomes remains to be elucidated. We aimed to evaluate the relationships among serum KL-6 levels, critical outcomes and the MUC1 variant in Japanese patients with COVID-19., Methods: This is a secondary analysis of a multicentre retrospective study using data from the Japan COVID-19 Task Force collected from February 2020 to November 2021, including 2226 patients with COVID-19 whose serum KL-6 levels were measured. An optimal serum KL-6 level cut-off to predict critical outcomes was determined and used for multivariable logistic regression analysis. Furthermore, the relationship among the allele dosage of the MUC1 variant, calculated from single nucleotide polymorphism typing data of genome-wide association studies using the imputation method, serum KL-6 levels and COVID-19 critical outcomes was evaluated., Results: Serum KL-6 levels were significantly higher in patients with COVID-19 with critical outcomes (511±442 U/mL) than those without (279±204 U/mL) (p<0.001). Serum KL-6 levels ≥304 U/mL independently predicted critical outcomes (adjusted OR (aOR) 3.47, 95% CI 2.44 to 4.95). Moreover, multivariable logistic regression analysis with age and sex indicated that the MUC1 variant was independently associated with increased serum KL-6 levels (aOR 0.24, 95% CI 0.28 to 0.32) but not significantly associated with critical outcomes (aOR 1.11, 95% CI 0.80 to 1.54)., Conclusion: Serum KL-6 levels predicted critical outcomes in Japanese patients with COVID-19 and were associated with the MUC1 variant. Therefore, serum KL-6 level is a potentially useful biomarker of critical COVID-19 outcomes., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2023
- Full Text
- View/download PDF
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