1
|
Kamata H, Takamatsu K, Fukunaga K, Chubachi S, Nakagawara K, Namkoong H, Terai H, Tanaka K, Sato S, Hagiwara E, Takei R, Kondoh Y, Takazono T, Hashimoto M, Tasaka S, Ohrui T, Tanino Y, Mineshita M, Komase Y, Miyazaki K, Nishikawa M, Ando A, Kita H, Ichihara E, Ohshimo S, Murata Y, Ishida M, Kobayashi S, Uchida T, Tateno H, Ikari J, Terashima T, Kozu Y, Tateishi T, Shinkai M, Sagara H, To Y, Ito Y, Yamamoto M, Yamamoto Y, Kita T, Ito Y, Tomii K, Fujita Y, Funaki Y, Yatera K, Yamasue M, Komiya K, Kozawa S, Manabe H, Hozumi H, Horiguchi T, Kitajima T, Nakano Y, Nagaoka T, Hojo M, Ebihara A, Kobayashi M, Takayama K, Jinta T, Sawai T, Fukuda Y, Kaneko T, Chin K, Ogura T, Mukae H, Ishii M, Yokoyama A. Pulmonary function and chest CT abnormalities 3 months after discharge from COVID-19, 2020-2021: A nation-wide multicenter prospective cohort study from the Japanese respiratory society. Respir Investig 2024; 62:572-579. [PMID: 38669898 DOI: 10.1016/j.resinv.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 02/07/2024] [Accepted: 02/17/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND No comprehensive analysis of the pulmonary sequelae of coronavirus disease 2019 (COVID-19) in Japan based on respiratory function tests and chest computed tomography (CT) has been reported. We evaluated post-COVID-19 conditions, especially focusing on pulmonary sequelae assessed by pulmonary function tests and chest CT. METHODS For this prospective cohort study, we enrolled 1069 patients who presented pneumonia at the time of admission in 55 hospitals from February 2020 to September 2021. Disease severity was classified as moderateⅠ, moderate II, and severe, defined primarily according to the degree of respiratory failure. The data on post-COVID-19 conditions over 12 months, pulmonary function, and chest CT findings at 3 months were evaluated in this study. Additionally, the impact of COVID-19 severity on pulmonary sequelae, such as impaired diffusion capacity, restrictive pattern, and CT abnormalities, was also evaluated. RESULTS The most frequently reported post-COVID-19 conditions at 3 months after COVID-19 were muscle weakness, dyspnea, and fatigue (48.4%, 29.0%, and 24.7%, respectively). The frequency of symptoms gradually decreased over subsequent months. In pulmonary function tests at 3 months, the incidence of impaired diffusion capacity and restrictive pattern increased depending on disease severity. There also were differences in the presence of chest CT abnormalities at the 3 months, which was markedly correlated with the severity. CONCLUSION We reported a comprehensive analysis of post-COVID-19 condition, pulmonary function, and chest CT abnormalities in Japanese patients with COVID-19. The findings of this study will serve as valuable reference data for future post-COVID-19 condition research in Japan.
Collapse
Affiliation(s)
- Hirofumi Kamata
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Kazufumi Takamatsu
- Department of Respiratory Medicine and Allergology, Kochi Medical School, Kochi University, Oko-cho, Kohasu, Nankoku, Kochi, 783-8505, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Ho Namkoong
- Department of Infectious Diseases, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Hideki Terai
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Katsushi Tanaka
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Susumu Sato
- Department of Respiratory Care and Sleep Control Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoinkawaharacho, Sakyo-ku, 606-8507, Japan
| | - Eri Hagiwara
- Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, 6-16-1 Tomiokahigashi, Kanazawa-ku, Yokohama, Kanagawa, 236-0051, Japan
| | - Reoto Takei
- Department of Respiratory Medicine and Allergy, Tosei General Hospital, 160 Nishioiwakecho, Seto, Aichi, 489-8642, Japan
| | - Yasuhiro Kondoh
- Department of Respiratory Medicine and Allergy, Tosei General Hospital, 160 Nishioiwakecho, Seto, Aichi, 489-8642, Japan
| | - Takahiro Takazono
- Department of Respiratory Medicine, Nagasaki University Hospital, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan
| | - Midori Hashimoto
- Department of Respiratory Medicine, NTT-East Corporation Sapporo Medical Center, South 1, West 15, Chuo-ku, Sapporo, 060-0061, Japan
| | - Sadatomo Tasaka
- Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine, 5 Zaifucho, Hirosaki, Aomori, 036-8562, Japan
| | - Takashi Ohrui
- Division of Respiratory Medicine, Tohoku Medical and Pharmaceutical University Hospital, 1-12-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, 983-8512, Japan
| | - Yoshinori Tanino
- Department of Pulmonary Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Masamichi Mineshita
- Division of Respiratory Medicine, Department of Internal Medicine, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki, Kanagawa, 216-8511, Japan
| | - Yuko Komase
- Department of Respiratory Internal Medicine, St. Marianna University School of Medicine, Yokohama Seibu Hospital, 1197-1 Yasashicho, Asahi-ku, Yokohama, Kanagawa, 241-0811, Japan
| | - Kazuhito Miyazaki
- Department of Respiratory Medicine, Yokohama Municipal Citizen's Hospital, 1-1 Mitsuzawanishimachi, Kanagawa-ku, Yokohama, Kanagawa, 221-0855, Japan
| | - Masanori Nishikawa
- Department of Respiratory Medicine, Fujisawa City Hospital, 2-6-1 Fujisawa, Kanagawa, 251-8550, Japan
| | - Akira Ando
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-ku, Nagoya, Aichi, 466-8550, Japan
| | - Hideo Kita
- Department of Respiratory Medicine, Takatsuki Red Cross Hospital, 1-1-1 Abuno, Takatsuki, Osaka, 569-1045, Japan
| | - Eiki Ichihara
- Center for Clinical Oncology, Okayama University Hospital, 2-5-1 Shikatacho, Kita-ku, Okayama, 700-8558, Japan
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-0037, Japan
| | - Yoriyuki Murata
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8505, Japan
| | - Masayuki Ishida
- Department of Respiratory Medicine, Chikamori Hospital, 1-1-6 Okawasuji, Kochi, 780-8522, Japan
| | - Seiichi Kobayashi
- Department of Respiratory Medicine, Japanese Red Cross Ishinomaki Hospital, 71 Nishimichishita, Hebita, Ishinomaki, Miyagi, 986-8522, Japan
| | - Takahiro Uchida
- Department of Respiratory Medicine, Saitama Medical University Hospital, 38 Morohongo, Irumagun Moroyamamachi, Saitama, 350-0495, Japan
| | - Hiroki Tateno
- Department of Pulmonary Medicine, Saitama City Hospital, 2460, Oazamimuro, Midori-ku, Saitama, 336-8522, Japan
| | - Jun Ikari
- Department of Respirology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan
| | - Takeshi Terashima
- Department of Respiratory Medicine, Tokyo Dental College Ichikawa General Hospital, 5-11-13 Sugano, Ichikawa, Chiba, 272-0824, Japan
| | - Yutaka Kozu
- Department of Internal Medicine, Division of Respiratory Medicine, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Tomoya Tateishi
- Department of Respiratory Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan
| | - Masaharu Shinkai
- Department of Respiratory Medicine, Tokyo Shinagawa Hospital, 6-3-22 Higashioi, Shinagawa-ku, Tokyo, 140-8522, Japan
| | - Hironori Sagara
- Division of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Yasuo To
- Department of Pulmonary Medicine, International University of Health and Welfare School of Medicine, 852 Hatakeda, Narita, Chiba, 286-0124, Japan
| | - Yoko Ito
- Division of Pulmonary Medicine, Department of Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Masaki Yamamoto
- Respiratory Disease Center, Yokohama City University Medical Center, 4-57 Urafunecho, Minami-ku, Yokohama, Kanagawa, 232-0024, Japan
| | - Yoshihiro Yamamoto
- Department of Clinical Infectious Diseases, Toyama University Hospital, 2630 Sugitani, Toyama, 930-0152, Japan
| | - Toshiyuki Kita
- The Department of Respiratory Medicine, NHO Kanazawa Medical Center, 1-1 Shimoishibikimachi, Kanazawa, Ishikawa, 920-8650, Japan
| | - Yutaka Ito
- Department of Respiratory Medicine, Allergy and Clinical Immunology, Nagoya City University Graduate School of Medical Sciences, 1 Mizuhochokawasumi, Mizuho-ku, Nagoya, 467-8602, Japan
| | - Keisuke Tomii
- Department of Respiratory Medicine, Kobe City Medical Center General Hospital, 2-1-1 Minatojimaminamimachi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan
| | - Yukio Fujita
- Department of Respiratory Medicine, Nara Medical University, 840 Shijocho, Kashihara, Nara, 634-8522, Japan
| | - Yoshihiro Funaki
- Division of Respiratory Medicine and Rheumatology, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, Tottori, 683-8504, Japan
| | - Kazuhiro Yatera
- Department of Respiratory Medicine, School of Medicine, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka, 807- 8556, Japan
| | - Mari Yamasue
- Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Hasamamachiidaigaoka, Yufu, Oita, 879-5503, Japan
| | - Kosaku Komiya
- Respiratory Medicine and Infectious Diseases, Oita University Faculty of Medicine, 1-1 Hasamamachiidaigaoka, Yufu, Oita, 879-5503, Japan
| | - Satoko Kozawa
- Center for Asbestos-Related Diseases, Yokohama Rosai Hospital, 3211, Kozukuecho, Kohoku-ku, Yokohama, Kanagawa, 222-0036, Japan
| | - Hideaki Manabe
- Department of Respiratory Medicine, Sagamihara Kyodo Hospital, 4-3-1 Hashimotodai, Midori-ku, Sagamihara, Kanagawa, 252-5188, Japan
| | - Hironao Hozumi
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3125, Japan
| | - Tomoya Horiguchi
- Department of Respiratory Medicine, Fujita Health University School of Medicine, 1-98 Kutsukakechodengakugakubo, Toyoake, Aichi, 470-1192, Japan
| | - Takamasa Kitajima
- Respiratory Disease Center, Kitano Hospital, Tazuke Kofukai Medical Research Institute, 2-4-20 Ogimachi, Kita-ku, Osaka, 530-8480, Japan
| | - Yasushi Nakano
- Department of Respiratory Medicine, Kawasaki Municipal Ida Hospital, 2-27-1 Ida, Nakahara-ku, Kawasaki, Kanagawa, 211-0035, Japan
| | - Tetsutaro Nagaoka
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, 3-1-3 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Masayuki Hojo
- Department of Respiratory Medicine, Center Hospital of the National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Akinori Ebihara
- Department of Respiratory Medicine, Tokai University Tokyo Hospital, 1-2-5 Yoyogi, Shibuya-ku, Tokyo, 151-0053, Japan
| | - Masayoshi Kobayashi
- Department of Respiratory Medicine, Tokyo Metropolitan Bokutoh Hospital, 4-23-15 Kotobashi, Sumida-ku, Tokyo, 130-8575, Japan
| | - Koji Takayama
- Department of Respiratory Medicine, Musashino Red Cross Hospital, 1-26-1 Kyonancho, Musashino, Tokyo, 180-0023, Japan
| | - Torahiko Jinta
- Department of Pulmonary Medicine, St. Luke's International Hospital, 9-1 Akashicho, Chuo-ku, Tokyo, 104-8560, Japan
| | - Toyomitsu Sawai
- Department of Respiratory Medicine, Nagasaki Harbor Medical Center, 6-39 Shinchimachi, Nagasaki, 850-0842, Japan
| | - Yuichi Fukuda
- Department of Respiratory Medicine, Sasebo City General Hospital, 9-3 Hirasecho, Sasebo, Nagasaki, 857-8511, Japan
| | - Takeshi Kaneko
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan
| | - Kazuo Chin
- Department of Sleep Medicine and Respiratory Care, Division of Sleep Medicine, Nihon University of Medicine, 30-1 Oyaguchikamicho, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Takashi Ogura
- Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, 6-16-1 Tomiokahigashi, Kanazawa-ku, Yokohama, Kanagawa, 236-0051, Japan
| | - Hiroshi Mukae
- Department of Respiratory Medicine, Nagasaki University Hospital, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan; Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki, 852-8523, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumaicho, Showa-ku, Nagoya, Aichi, 466-8550, Japan
| | - Akihito Yokoyama
- Department of Respiratory Medicine and Allergology, Kochi Medical School, Kochi University, Oko-cho, Kohasu, Nankoku, Kochi, 783-8505, Japan
| |
Collapse
|
2
|
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, Fukunaga K. Lung volume measurement using chest CT in COVID-19 patients: a cohort study in Japan. BMJ Open Respir Res 2024; 11:e002234. [PMID: 38663888 PMCID: PMC11043761 DOI: 10.1136/bmjresp-2023-002234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
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 TLCct (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.
Collapse
Affiliation(s)
- Shiro Otake
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shotaro Chubachi
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Naoya Tanabe
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Ho Namkoong
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takashi Shimada
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shuhei Azekawa
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kensuke Nakagawara
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hiromu Tanaka
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takahiro Fukushima
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mayuko Watase
- Department of Respiratory Medicine, National Hospital Organization Tokyo Medical Centre, Tokyo, Japan
| | - Hideki Terai
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mamoru Sasaki
- Department of Internal Medicine, Saitama Medical Center, Tokyo, Japan
| | - Soichiro Ueda
- Department of Internal Medicine, Saitama Medical Center, Tokyo, Japan
| | - Yukari Kato
- Division of Respiratory Medicine, Juntendo University School of Medicine Graduate School of Medicine, Bunkyo-ku, Japan
| | - Norihiro Harada
- Division of Respiratory Medicine, Juntendo University School of Medicine Graduate School of Medicine, Bunkyo-ku, Japan
| | - Shoji Suzuki
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Shuichi Yoshida
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Hiroki Tateno
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Yoshitake Yamada
- Keio University Department of Radiology, Shinjuku-ku, Tokyo, Japan
| | - Masahiro Jinzaki
- Keio University Department of Radiology, Shinjuku-ku, Tokyo, Japan
| | - Toyohiro Hirai
- Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Bunkyo-ku, Japan
| | - Ryuji Koike
- Department of Pharmacovigilance, Tokyo Medical and Dental University, Tokyo, Japan
| | - Makoto Ishii
- Faculty of Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Hasegawa
- Center for Infectious Diseases and Infection Control, Keio University, School of Medicine, Tokyo, Japan
| | - Akinori Kimura
- Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | | | - Satoru Miyano
- Tokyo Medical and Dental University, Bunkyo-ku, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University Graduate School of Medicine Faculty of Medicine, Kyoto, Japan
- Department of Medicine, Regenerative Medicine Karolinska Institute, Stockholm, Sweden
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology Department of Internal Medicine, Keio University School of Medicine, Shinjuku-ku, Japan
| | - Koichi Fukunaga
- ivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
3
|
Azekawa S, Maetani T, Chubachi S, Asakura T, Tanabe N, Shiraishi Y, Namkoong H, Tanaka H, Shimada T, Fukushima T, Otake S, Nakagawara K, 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, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K. CT-derived vertebral bone mineral density is a useful biomarker to predict COVID-19 outcome. Bone 2024; 184:117095. [PMID: 38599262 DOI: 10.1016/j.bone.2024.117095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024]
Abstract
The low vertebral bone computed tomography (CT) Hounsfield unit values measured on CT scans reflect low bone mineral density (BMD) and are known as diagnostic indicators for osteoporosis. The potential prognostic significance of low BMD defined by vertebral bone CT values for the coronavirus disease 2019 (COVID-19) remains unclear. This study aimed to assess the impact of BMD on the clinical outcome in Japanese patients with COVID-19 and evaluate the association between BMD and critical outcomes, such as high-flow nasal cannula, non-invasive and invasive positive pressure ventilation, extracorporeal membrane oxygenation, or death. We examined the effects of COVID-19 severity on the change of BMD over time. This multicenter retrospective cohort study enrolled 1132 inpatients with COVID-19 from the Japan COVID-19 Task Force database between February 2020 and September 2022. The bone CT values of the 4th, 7th, and 10th thoracic vertebrae were measured from chest CT images. The average of these values was defined as BMD. Furthermore, a comparative analysis was conducted between the BMD on admission and its value 3 months later. The low BMD group had a higher proportion of critical outcomes than did the high BMD group. In a subanalysis stratifying patients by epidemic wave according to onset time, critical outcomes were higher in the low BMD group in the 1st-4th waves. Multivariable logistic analysis of previously reported factors associated with COVID-19 severity revealed that low BMD, chronic kidney disease, and diabetes were independently associated with critical outcomes. At 3 months post-infection, patients with oxygen demand during hospitalization showed markedly decreased BMD than did those on admission. Low BMD in patients with COVID-19 may help predict severe disease after the disease onset. BMD may decrease over time in patients with severe COVID-19, and the impact on sequelae symptoms should be investigated in the future.
Collapse
Affiliation(s)
- Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan; Department of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan; Department of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan.
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ho Namkoong
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan; Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Takashi Shimada
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Hideki Terai
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Mamoru Sasaki
- Internal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan
| | - Soichiro Ueda
- Internal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan
| | - Yukari Kato
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Norihiro Harada
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Shoji Suzuki
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Shuichi Yoshida
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Hiroki Tateno
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Yoshitake Yamada
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Ryuji Koike
- Health Science Research and Development Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan; Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan; Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| |
Collapse
|
4
|
Ozawa T, Kimura R, Terai H, Takemura R, Namkoong H, Kondo M, Fukuda K, Yagi K, Asakura T, Masaki K, Chubachi S, Miyata J, Ohgino K, Kawada I, Kagyo J, Odani T, Kuwahara N, Nakachi I, Ishii M, Sato Y, Fukunaga K. Calcium channel blockers may reduce the development of long COVID in females. Hypertens Res 2024; 47:934-943. [PMID: 37978232 DOI: 10.1038/s41440-023-01501-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 11/19/2023]
Abstract
With the rising numbers of patients infected with severe acute respiratory syndrome coronavirus 2, long coronavirus disease 2019 (COVID-19)-a sequelae of COVID-19-has become a major problem. Different sexes and age groups develop different long COVID symptoms, and the risk factors for long COVID remain unclear. Therefore, we performed subgroup analyses of patients with COVID-19, classifying them into different groups. In this multicenter cohort study, using an original questionnaire, we examined patients (≥18 years old) diagnosed with COVID-19 from November 2020 to March 2022 and hospitalized at participating medical facilities. In total, 1066 patients were registered (361 female, 620 male). Hypertension was the most common comorbidity (n = 344; 32.5%). Females with hypertension were significantly less likely to develop long COVID symptoms than those without hypertension (odds ratio [OR] 0.51, 95% confidence interval [CI] 0.27-0.98; p = 0.043). In females, Ca channel blocker administration, rather than having hypertension, was significantly associated with reductions in the frequency of alopecia (OR 0.14, 95% CI 0.03-0.67, p = 0.015), memory impairment (OR 0.14, 95% CI 0.02-0.82, p = 0.029), sleeping disorders (OR 0.17, 95% CI 0.04-0.67, p = 0.012), tinnitus (OR 0.23, 95% CI 0.05-0.98, p = 0.047), sputum (OR 0.31, 95% CI 0.10-0.92, p = 0.035), and fever (OR 0.33, 95% CI 0.12-0.93, p = 0.036). Several long COVID symptoms, including alopecia, were significantly negatively associated with Ca channel-blocker administration in female patients with long COVID. Calcium channel blockers may reduce the development of long COVID in females.
Collapse
Affiliation(s)
- Takuya Ozawa
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
- Pulmonary Division, Department Internal Medicine, Saiseikai Utsunomiya Hospital, Tochigi, Japan
| | - Ryusei Kimura
- Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan
| | - Hideki Terai
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
- Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan.
| | - Ryo Takemura
- Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan.
| | - Ho Namkoong
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Kondo
- Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan
| | - Keitaro Fukuda
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Kazuma Yagi
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Internal Medicine, Keiyu Hospital, Yokohama, Kanagawa, Japan
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan
| | - Katsunori Masaki
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Jun Miyata
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Keiko Ohgino
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Ichiro Kawada
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
- Research Centers and Institutes, Health Center, Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Junko Kagyo
- Department of Internal Medicine, Keiyu Hospital, Yokohama, Kanagawa, Japan
| | - Toshio Odani
- Department of Rheumatology, National Hospital Organization Hokkaido Medical Center, Hokkaido, Japan
| | - Naota Kuwahara
- Department of Medicine, Division of Allergology and Respiratory Medicine, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Ichiro Nakachi
- Pulmonary Division, Department Internal Medicine, Saiseikai Utsunomiya Hospital, Tochigi, Japan
| | - Makoto Ishii
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasunori Sato
- Department of Health Policy and Management, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
5
|
Nakagawara K, Shiraishi Y, Chubachi S, Tanabe N, Maetani T, Asakura T, Namkoong H, Tanaka H, Shimada T, Azekawa S, Otake S, 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, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K. Integrated assessment of computed tomography density in pectoralis and erector spinae muscles as a prognostic biomarker for coronavirus disease 2019. Clin Nutr 2024; 43:815-824. [PMID: 38350289 DOI: 10.1016/j.clnu.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/12/2024] [Accepted: 02/02/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND & AIMS: Muscle quantification using chest computed tomography (CT) is a useful prognostic biomarker for coronavirus disease 2019 (COVID-19). However, no studies have evaluated the clinical course through comprehensive assessment of the pectoralis and erector spinae muscles. Therefore, we compared the impact of the areas and densities of these muscles on COVID-19 infection outcome. METHODS This multicenter retrospective cohort study was conducted by the COVID-19 Task Force. A total of 1410 patients with COVID-19 were included, and data on the area and density of the pectoralis and erector spinae muscles on chest CT were collected. The impact of each muscle parameter on the clinical outcome of COVID-19 was stratified according to sex. The primary outcome was the percentage of patients with severe disease, including those requiring oxygen supplementation and those who died. Additionally, 167 patients were followed up for changes in muscle parameters at three months and for the clinical characteristics in case of reduced CT density. RESULTS For both muscles, low density rather than muscle area was associated with COVID-19 severity. Regardless of sex, lower erector spinae muscle density was associated with more severe disease than pectoralis muscle density. The muscles were divided into two groups using the receiver operating characteristic curve of CT density, and the population was classified into four (Group A: high CT density for both muscles, Group B: low CT density for pectoralis and high for erector spinae muscle. Group C: high CT density for pectoralis and low for erector spinae muscle, Group D: low CT density for both muscles). In univariate analysis, Group D patients exhibited worse outcomes than Group A (OR: 2.96, 95% CI: 2.03-4.34 in men; OR: 3.02, 95% CI: 2.66-10.4 in women). Multivariate analysis revealed that men in Group D had a significantly more severe prognosis than those in Group A (OR: 1.82, 95% CI: 1.16-2.87). Moreover, Group D patients tended to have the highest incidence of other complications due to secondary infections and acute kidney injury during the clinical course. Longitudinal analysis of both muscle densities over three months revealed that patients with decreased muscle density over time were more likely to have severe cases than those who did not. CONCLUSIONS Muscle density, rather than muscle area, predicts the clinical outcomes of COVID-19. Integrated assessment of pectoralis and erector spinae muscle densities demonstrated higher accuracy in predicting the clinical course of COVID-19 than individual assessments.
Collapse
Affiliation(s)
- Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan; Department of Respiratory Medicine, Kitasato University, Kitasato Institute Hospital, Tokyo, Japan
| | - Ho Namkoong
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takashi Shimada
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hideki Terai
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mamoru Sasaki
- Internal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan
| | - Soichiro Ueda
- Internal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan
| | - Yukari Kato
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Norihiro Harada
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Shoji Suzuki
- Department of Respiratory Medicine, Saitama City Hospital, Saitama, Japan
| | - Shuichi Yoshida
- Department of Respiratory Medicine, Saitama City Hospital, Saitama, Japan
| | - Hiroki Tateno
- Department of Respiratory Medicine, Saitama City Hospital, Saitama, Japan
| | - Yoshitake Yamada
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Ryuji Koike
- Medical Innovation Promotion Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
6
|
Sakurai K, Chubachi S, Asakura T, Namkoong H, Tanaka H, Azekawa S, Shimada T, Otake S, Nakagawara K, Fukushima T, Lee H, Watase M, 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, Fukunaga K. Prognostic significance of hypertension history and blood pressure on admission in Japanese patients with coronavirus disease 2019: integrative analysis from the Japan COVID-19 Task Force. Hypertens Res 2024; 47:639-648. [PMID: 37919428 DOI: 10.1038/s41440-023-01490-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 11/04/2023]
Abstract
The effect of preexisting hypertension on coronavirus disease 2019 (COVID-19) prognosis remains controversial. Additionally, no studies have compared the association between blood pressure (BP) indices on admission and COVID-19 outcomes using preexisting hypertension status. Therefore, this study aimed to investigate the association between preexisting hypertension and COVID-19 outcomes in Japanese patients with COVID-19 and assess the impact of BP indices on admission on clinical outcomes in patients with and without preexisting hypertension. Preexisting hypertension presence was confirmed based on the patient's clinical history. Critical outcomes were defined as high-flow oxygen use, non-invasive and invasive positive-pressure ventilation, extracorporeal membrane oxygenation, or death during hospitalization. Preexisting hypertension was observed in 64.6% of the patients. Multivariable logistic regression analysis of severe COVID-19 risk factors indicated that preexisting hypertension was independently associated with critical outcomes [adjusted odds ratio (OR): 1.35; 95% confidence interval (CI): 1.05-1.73]. Low or high BP and high pulse pressure on admission were associated with critical outcomes in patients without preexisting hypertension [OR for systolic BP < 100 mmHg: 2.13, 95% CI: 1.21-3.75; OR for high BP stage 2 (160-179 systolic and/or 100-109 mmHg diastolic BP): 2.13, 95% CI: 1.27-3.58; OR for pulse pressure ≥60 mmHg: 1.68, 95% CI: 1.14-2.48]. Preexisting hypertension is a risk factor for critical outcomes in Japanese patients with COVID-19. BP indices are useful biomarkers for predicting COVID-19 outcomes, particularly in patients without preexisting hypertension. Thus, hypertension history, systolic BP, and pulse pressure should be assessed to predict severe COVID-19 outcomes.
Collapse
Affiliation(s)
- Kaori Sakurai
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
- Department of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan.
- Department of Respiratory Medicine, Kitasato University, Kitasato Institute Hospital, Tokyo, Japan.
| | - Ho Namkoong
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takashi Shimada
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Ho Lee
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Tatsuya Kusumoto
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Katsunori Masaki
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hirofumi Kamata
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Hasegawa
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Ryuji Koike
- Health Science Research and Development Center (HeRD), Tokyo Medical and Dental University, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
7
|
Shibata M, Otsuka Y, Hagiya H, Koyama T, Kashiwagi H, Otsuka F. Changes in the place of death before and during the COVID-19 pandemic in Japan. PLoS One 2024; 19:e0299700. [PMID: 38416759 PMCID: PMC10901324 DOI: 10.1371/journal.pone.0299700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 02/13/2024] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND In the global aging, the coronavirus disease 2019 (COVID-19) pandemic may have affected the place of death (PoD) in Japan, where hospital deaths have dominated for decades. We analyzed the PoD trends before and during the COVID-19 pandemic in Japan. METHODS This nationwide observational study used vital statistics based on death certificates from Japan between 1951 and 2021. The proportion of PoD; deaths at home, hospitals, and nursing homes; and annual percentage change (APC) were estimated using joinpoint regression analysis. Analyses were stratified by age groups and causes of death. RESULTS After 2019, home deaths exhibited upward trends, while hospital death turned into downward trends. By age, no significant trend change was seen in the 0-19 age group, while hospital deaths decreased in the 20-64 age group in 2019. The trend change in home death in the ≥65 age group significantly increased since 2019 with an APC of 12.3% (95% confidence interval [CI]: 9.0 to 15.7), while their hospital death trends decreased by -4.0% (95% CI: -4.9 to -3.1) in 2019-2021. By cause of death, home death due to cancer and the old age increased since 2019 with an APC of 29.3% (95% CI: 25.4 to 33.2) and 8.8% (95% CI: 5.5 to 12.2), respectively. CONCLUSION PoD has shifted from hospital to home during the COVID-19 pandemic in Japan. The majority of whom were older population with cancer or old age.
Collapse
Affiliation(s)
- Masashi Shibata
- Department of General Medicine, Iizuka Hospital, Iizuka, Japan
| | - Yuki Otsuka
- Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Hideharu Hagiya
- Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Toshihiro Koyama
- Department of Pharmaceutical Biomedicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Hideyuki Kashiwagi
- Department of Transitional and Palliative Care, Iizuka Hospital, Iizuka, Japan
| | - Fumio Otsuka
- Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| |
Collapse
|
8
|
Ota K, Nitta M, Komeya T, Matsuoka T, Takasu A. Influence of the COVID-19 Outbreak in Vulnerable Patients (Pediatric Patients, Pregnant Women, and Elderly Patients) on an Emergency Medical Service System: A Pre- and Post-COVID-19 Pandemic Comparative Study Using the Population-Based ORION Registry. Medicina (Kaunas) 2024; 60:345. [PMID: 38399632 PMCID: PMC10890565 DOI: 10.3390/medicina60020345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 02/09/2024] [Accepted: 02/17/2024] [Indexed: 02/25/2024]
Abstract
Background and Objective: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread all over the world. To assess the influence of the COVID-19 pandemic on emergency medical services (EMS) for vulnerable patients transported by ambulance. Materials and Methods: This study was a retrospective, descriptive study with a study period from 1 January 2019 to 31 December 2021 using the Osaka Emergency Information Research Intelligent Operation Network (ORION) system. We included all pediatric patients, pregnant women, and elderly patients ≥ 65 years of age transported by ambulance in Osaka Prefecture. The main outcome of this study was difficult-to-transport cases. We calculated the rate of difficult-to-transport cases under several conditions. Results: For the two year-long periods of 1 January 2019 to 31 December 2019 and 1 January 2021 to 31 December 2021, a total of 887,647 patients were transported to hospital by ambulance in Osaka Prefecture. The total number of vulnerable patients was 579,815 (304,882 in 2019 and 274,933 in 2021). Multivariate logistic regression analysis showed that difficult-to-transport cases were significantly more frequent in 2021 than in 2019. Difficult-to-transport cases were significantly less frequent in the vulnerable population than in the non-vulnerable population (adjusted odds ratio 0.81, 95% confidence interval 0.80-0.83; p < 0.001). Conclusion: During the pandemic (2021), difficult-to-transport cases were more frequent compared to before the pandemic (2019); however, vulnerable patients were not the cause of difficulties in obtaining hospital acceptance for transport.
Collapse
Affiliation(s)
- Koshi Ota
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan; (M.N.); (A.T.)
- Working Group for Analysis of the Emergency Medical Care System in Osaka Prefecture, Osaka 530-0000, Japan;
| | - Masahiko Nitta
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan; (M.N.); (A.T.)
| | | | - Tetsuya Matsuoka
- Working Group for Analysis of the Emergency Medical Care System in Osaka Prefecture, Osaka 530-0000, Japan;
| | - Akira Takasu
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan; (M.N.); (A.T.)
| |
Collapse
|
9
|
Kataoka Y, Tanabe N, Shirata M, Hamao N, Oi I, Maetani T, Shiraishi Y, Hashimoto K, Yamazoe M, Shima H, Ajimizu H, Oguma T, Emura M, Endo K, Hasegawa Y, Mio T, Shiota T, Yasui H, Nakaji H, Tsuchiya M, Tomii K, Hirai T, Ito I. Artificial intelligence-based analysis of the spatial distribution of abnormal computed tomography patterns in SARS-CoV-2 pneumonia: association with disease severity. Respir Res 2024; 25:24. [PMID: 38200566 PMCID: PMC10777587 DOI: 10.1186/s12931-024-02673-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND The substantial heterogeneity of clinical presentations in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia still requires robust chest computed tomography analysis to identify high-risk patients. While extension of ground-glass opacity and consolidation from peripheral to central lung fields on chest computed tomography (CT) might be associated with severely ill conditions, quantification of the central-peripheral distribution of ground glass opacity and consolidation in assessments of SARS-CoV-2 pneumonia remains unestablished. This study aimed to examine whether the central-peripheral distributions of ground glass opacity and consolidation were associated with severe outcomes in patients with SARS-CoV-2 pneumonia independent of the whole-lung extents of these abnormal shadows. METHODS This multicenter retrospective cohort included hospitalized patients with SARS-CoV-2 pneumonia between January 2020 and August 2021. An artificial intelligence-based image analysis technology was used to segment abnormal shadows, including ground glass opacity and consolidation. The area ratio of ground glass opacity and consolidation to the whole lung (GGO%, CON%) and the ratio of ground glass opacity and consolidation areas in the central lungs to those in the peripheral lungs (GGO(C/P)) and (CON(C/P)) were automatically calculated. Severe outcome was defined as in-hospital death or requirement for endotracheal intubation. RESULTS Of 512 enrolled patients, the severe outcome was observed in 77 patients. GGO% and CON% were higher in patients with severe outcomes than in those without. Multivariable logistic models showed that GGO(C/P), but not CON(C/P), was associated with the severe outcome independent of age, sex, comorbidities, GGO%, and CON%. CONCLUSION In addition to GGO% and CON% in the whole lung, the higher the ratio of ground glass opacity in the central regions to that in the peripheral regions was, the more severe the outcomes in patients with SARS-CoV-2 pneumonia were. The proposed method might be useful to reproducibly quantify the extension of ground glass opacity from peripheral to central lungs and to estimate prognosis.
Collapse
Affiliation(s)
- Yusuke Kataoka
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan.
| | - Masahiro Shirata
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Nobuyoshi Hamao
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
- Department of Internal Medicine, Sugita Genpaku Memorial Obama Municipal Hospital, Obama, Japan
| | - Issei Oi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
- Department of Internal Medicine, Sugita Genpaku Memorial Obama Municipal Hospital, Obama, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Kentaro Hashimoto
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Masatoshi Yamazoe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Hiroshi Shima
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Hitomi Ajimizu
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Tsuyoshi Oguma
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
- Department of Respiratory Medicine, Kyoto City Hospital, Kyoto, Japan
| | - Masahito Emura
- Department of Respiratory Medicine, Kyoto City Hospital, Kyoto, Japan
| | - Kazuo Endo
- Department of Respiratory Medicine, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Yoshinori Hasegawa
- Department of Respiratory Medicine, Osaka Saiseikai Nakatsu Hospital, Osaka, Japan
| | - Tadashi Mio
- Division of Respiratory Medicine, Center for Respiratory Diseases, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | | | - Hiroaki Yasui
- Department of Internal Medicine, Horikawa Hospital, Kyoto, Japan
| | - Hitoshi Nakaji
- Department of Respiratory Medicine, Toyooka Hospital, Toyooka, Japan
| | - Michiko Tsuchiya
- Department of Respiratory Medicine, Rakuwakai Otowa Hospital, Kyoto, Japan
| | - Keisuke Tomii
- Department of Respiratory Medicine, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Isao Ito
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan.
- Department of Internal Medicine, Sugita Genpaku Memorial Obama Municipal Hospital, Obama, Japan.
| |
Collapse
|
10
|
Kusumoto T, Chubachi S, Namkoong H, Tanaka H, Lee H, Otake S, Nakagawara K, Fukushima T, Morita A, Watase M, Asakura T, Masaki K, Kamata H, Ishii M, Hasegawa N, Harada N, Ueda T, Ueda S, Ishiguro T, Arimura K, Saito F, Yoshiyama T, Nakano Y, Mutoh Y, Suzuki Y, Edahiro R, Murakami K, Sato Y, Okada Y, Koike R, Kitagawa Y, Tokunaga K, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K. Characteristics of patients with COVID-19 who have deteriorating chest X-ray findings within 48 h: a retrospective cohort study. Sci Rep 2023; 13:22054. [PMID: 38086863 PMCID: PMC10716517 DOI: 10.1038/s41598-023-49340-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 12/07/2023] [Indexed: 12/18/2023] Open
Abstract
The severity of chest X-ray (CXR) findings is a prognostic factor in patients with coronavirus disease 2019 (COVID-19). We investigated the clinical and genetic characteristics and prognosis of patients with worsening CXR findings during early hospitalization. We retrospectively included 1656 consecutive Japanese patients with COVID-19 recruited through the Japan COVID-19 Task Force. Rapid deterioration of CXR findings was defined as increased pulmonary infiltrates in ≥ 50% of the lung fields within 48 h of admission. Rapid deterioration of CXR findings was an independent risk factor for death, most severe illness, tracheal intubation, and intensive care unit admission. The presence of consolidation on CXR, comorbid cardiovascular and chronic obstructive pulmonary diseases, high body temperature, and increased serum aspartate aminotransferase, potassium, and C-reactive protein levels were independent risk factors for rapid deterioration of CXR findings. Risk variant at the ABO locus (rs529565-C) was associated with rapid deterioration of CXR findings in all patients. This study revealed the clinical features, genetic features, and risk factors associated with rapid deterioration of CXR findings, a poor prognostic factor in patients with COVID-19.
Collapse
Affiliation(s)
- Tatsuya Kusumoto
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Ho Namkoong
- Department of Infectious Diseases, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Ho Lee
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Atsuho Morita
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Mayuko Watase
- Department of Respiratory Medicine, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
| | - Takanori Asakura
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Katsunori Masaki
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Hirofumi Kamata
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Naoki Hasegawa
- Department of Infectious Diseases, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Norihiro Harada
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Tetsuya Ueda
- Department of Respiratory Medicine, Osaka Saiseikai Nakatsu Hospital, Osaka, Japan
| | - Soichiro Ueda
- Department of Internal Medicine, Japan Community Health Care Organization (JCHO), Saitama Medical Center, Saitama, Japan
| | - Takashi Ishiguro
- Department of Respiratory Medicine, Saitama Cardiovascular and Respiratory Center, Kumagaya, Japan
| | - Ken Arimura
- Department of Respiratory Medicine, Tokyo Women's Medical University, Tokyo, Japan
| | - Fukuki Saito
- Department of Emergency and Critical Care Medicine, Kansai Medical University General Medical Center, Moriguchi, Japan
| | - Takashi Yoshiyama
- Respiratory Disease Center, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Yasushi Nakano
- Department of Internal Medicine, Kawasaki Municipal Ida Hospital, Kawasaki, Japan
| | - Yoshikazu Mutoh
- Department of Infectious Diseases, Tosei General Hospital, Seto, Japan
| | - Yusuke Suzuki
- Department of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan
| | - Ryuya Edahiro
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Koji Murakami
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yasunori Sato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- The Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Ryuji Koike
- Medical Innovation Promotion Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Katsushi Tokunaga
- Genome Medical Science Project (Toyama), National Center for Global Health and Medicine, Tokyo, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
- Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| |
Collapse
|
11
|
Fanelli M, Petrone V, Maracchioni C, Chirico R, Cipriani C, Coppola L, Malagnino V, Teti E, Sorace C, Zordan M, Vitale P, Iannetta M, Balestrieri E, Rasi G, Grelli S, Malergue F, Sarmati L, Minutolo A, Matteucci C. Persistence of circulating CD169+monocytes and HLA-DR downregulation underline the immune response impairment in PASC individuals: the potential contribution of different COVID-19 pandemic waves. Curr Res Microb Sci 2023; 6:100215. [PMID: 38187999 PMCID: PMC10767315 DOI: 10.1016/j.crmicr.2023.100215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024] Open
Abstract
The use of CD169 as a marker of viral infection has been widely discussed in the context of COVID-19, and in particular, its crucial role in the early detection of SARS-CoV-2 infection and its association with the severity and clinical outcome of COVID-19 were demonstrated. COVID-19 patients show relevant systemic alteration and immunological dysfunction that persists in individuals with post-acute sequelae of SARS-CoV-2 infection (PASC). It is critical to implement the characterization of the disease, focusing also on the possible impact of the different COVID-19 waves and the consequent effects found after infection. On this basis, we evaluated by flow cytometry the expression of CD169 and HLA-DR on monocytes from COVID-19 patients and PASC individuals to better elucidate their involvement in immunological dysfunction, also evaluating the possible impact of different pandemic waves. The results confirm CD169 RMFI is a good marker of viral infection. Moreover, COVID-19 patients and PASC individuals showed high percentage of CD169+ monocytes, but low percentage of HLA-DR+ monocytes and the alteration of systemic inflammatory indices. We have also observed alterations of CD169 and HLA-DR expression and indices of inflammation upon different COVID-19 waves. The persistence of specific myeloid subpopulations suggests a role of CD169+ monocytes and HLA-DR in COVID-19 disease and chronic post-infection inflammation, opening new opportunities to evaluate the impact of specific pandemic waves on the immune response impairment and systemic alterations with the perspective to provide new tools to monitoring new variants and diseases associated to emerging respiratory viruses.
Collapse
Affiliation(s)
- Marialaura Fanelli
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Vita Petrone
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Christian Maracchioni
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Rossella Chirico
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Chiara Cipriani
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Luigi Coppola
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Vincenzo Malagnino
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Elisabetta Teti
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Chiara Sorace
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Marta Zordan
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Pietro Vitale
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Marco Iannetta
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Emanuela Balestrieri
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Guido Rasi
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Sandro Grelli
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
- Virology Unit, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Fabrice Malergue
- Global Research Organization, Beckman Coulter Life Sciences, Marseille, 13009, France
| | - Loredana Sarmati
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Antonella Minutolo
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Claudia Matteucci
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| |
Collapse
|
12
|
Tanaka H, Maetani T, Chubachi S, Tanabe N, Shiraishi Y, Asakura T, Namkoong H, Shimada T, Azekawa S, Otake S, Nakagawara K, 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, Fukunaga K. Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography - a multicenter retrospective cohort study in Japan. Respir Res 2023; 24:241. [PMID: 37798709 PMCID: PMC10552312 DOI: 10.1186/s12931-023-02530-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 09/04/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Computed tomography (CT) imaging and artificial intelligence (AI)-based analyses have aided in the diagnosis and prediction of the severity of COVID-19. However, the potential of AI-based CT quantification of pneumonia in assessing patients with COVID-19 has not yet been fully explored. This study aimed to investigate the potential of AI-based CT quantification of COVID-19 pneumonia to predict the critical outcomes and clinical characteristics of patients with residual lung lesions. METHODS This retrospective cohort study included 1,200 hospitalized patients with COVID-19 from four hospitals. The incidence of critical outcomes (requiring the support of high-flow oxygen or invasive mechanical ventilation or death) and complications during hospitalization (bacterial infection, renal failure, heart failure, thromboembolism, and liver dysfunction) was compared between the groups of pneumonia with high/low-percentage lung lesions, based on AI-based CT quantification. Additionally, 198 patients underwent CT scans 3 months after admission to analyze prognostic factors for residual lung lesions. RESULTS The pneumonia group with a high percentage of lung lesions (N = 400) had a higher incidence of critical outcomes and complications during hospitalization than the low percentage group (N = 800). Multivariable analysis demonstrated that AI-based CT quantification of pneumonia was independently associated with critical outcomes (adjusted odds ratio [aOR] 10.5, 95% confidence interval [CI] 5.59-19.7), as well as with oxygen requirement (aOR 6.35, 95% CI 4.60-8.76), IMV requirement (aOR 7.73, 95% CI 2.52-23.7), and mortality rate (aOR 6.46, 95% CI 1.87-22.3). Among patients with follow-up CT scans (N = 198), the multivariable analysis revealed that the pneumonia group with a high percentage of lung lesions on admission (aOR 4.74, 95% CI 2.36-9.52), older age (aOR 2.53, 95% CI 1.16-5.51), female sex (aOR 2.41, 95% CI 1.13-5.11), and medical history of hypertension (aOR 2.22, 95% CI 1.09-4.50) independently predicted persistent residual lung lesions. CONCLUSIONS AI-based CT quantification of pneumonia provides valuable information beyond qualitative evaluation by physicians, enabling the prediction of critical outcomes and residual lung lesions in patients with COVID-19.
Collapse
Affiliation(s)
- Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
- Department of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan
- Department of Respiratory Medicine, Kitasato University, Kitasato Institute Hospital, Tokyo, Japan
| | - Ho Namkoong
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Takashi Shimada
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Hideki Terai
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Mamoru Sasaki
- Department of Respiratory Medicine, JCHO (Japan Community Health care Organization), Saitama Medical Center, Saitama, Japan
| | - Soichiro Ueda
- Department of Respiratory Medicine, JCHO (Japan Community Health care Organization), Saitama Medical Center, Saitama, Japan
| | - Yukari Kato
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Norihiro Harada
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Shoji Suzuki
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Shuichi Yoshida
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Hiroki Tateno
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Yoshitake Yamada
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Ryuji Koike
- Health Science Research and Development Center (HeRD), Tokyo Medical and Dental University, Tokyo, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Hasegawa
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| |
Collapse
|
13
|
San Martín-López JV, Mesa N, Bernal-Bello D, Morales-Ortega A, Rivilla M, Guerrero M, Calderón R, Farfán AI, Rivas L, Soria G, Izquierdo A, Madroñal E, Duarte M, Piedrabuena S, Toledano-Macías M, Marrero J, de Ancos C, Frutos B, Cristóbal R, Velázquez L, Mora B, Cuenca P, Satué JÁ, Ayala-Larrañaga I, Carpintero L, Lara C, Llerena ÁR, García V, García de Viedma V, Prieto S, González-Pereira N, Bravo C, Mariño C, Lechuga LA, Tarancón J, Gonzalo S, Moreno S, Ruiz-Giardin JM. Seven Epidemic Waves of COVID-19 in a Hospital in Madrid: Analysis of Severity and Associated Factors. Viruses 2023; 15:1839. [PMID: 37766248 PMCID: PMC10538062 DOI: 10.3390/v15091839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/21/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background: COVID-19 has evolved during seven epidemic waves in Spain. Our objective was to describe changes in mortality and severity in our hospitalized patients. (2) Method: This study employed a descriptive, retrospective approach for COVID-19 patients admitted to the Hospital de Fuenlabrada (Madrid, Spain) until 31 December 2022. (3) Results: A total of 5510 admissions for COVID-19 were recorded. The first wave accounted for 1823 (33%) admissions and exhibited the highest proportion of severe patients: 65% with bilateral pneumonia and 83% with oxygen saturation under 94% during admission and elevated levels of CRP, IL-6, and D-dimer. In contrast, the seventh wave had the highest median age (79 years) and comorbidity (Charlson: 2.7), while only 3% of patients had bilateral pneumonia and 3% required intubation. The overall mortality rate was 10.3%. The first wave represented 39% of the total. The variables related to mortality were age (OR: 1.08, 1.07-1.09), cancer (OR: 1.99, 1.53-2.60), dementia (OR: 1.82, 1.20-2.75), the Charlson index (1.38, 1.31-1.47), the need for high-flow oxygen (OR: 6.10, 4.94-7.52), mechanical ventilation (OR: 11.554, 6.996-19.080), and CRP (OR: 1.04, 1.03-1.06). (4) Conclusions: The variables associated with mortality included age, comorbidity, respiratory failure, and inflammation. Differences in the baseline characteristics of admitted patients explained the differences in mortality in each wave. Differences observed between patients admitted in the latest wave and the earlier ones suggest that COVID-19 has evolved into a distinct disease, requiring a distinct approach.
Collapse
Affiliation(s)
- Juan Víctor San Martín-López
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, 28029 Madrid, Spain;
| | - Nieves Mesa
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - David Bernal-Bello
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Alejandro Morales-Ortega
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
- Departamento de Medicina y Especialidades Médicas, Universidad de Alcalá, 28871 Madrid, Spain
| | - Marta Rivilla
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Marta Guerrero
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Ruth Calderón
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Ana I. Farfán
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Luis Rivas
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Guillermo Soria
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Aída Izquierdo
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Elena Madroñal
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Miguel Duarte
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Sara Piedrabuena
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - María Toledano-Macías
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Jorge Marrero
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Cristina de Ancos
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Begoña Frutos
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Rafael Cristóbal
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Laura Velázquez
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Belén Mora
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Paula Cuenca
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - José Á. Satué
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Ibone Ayala-Larrañaga
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Lorena Carpintero
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Celia Lara
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Álvaro R. Llerena
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Virginia García
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Vanessa García de Viedma
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Santiago Prieto
- Servicio de Laboratorio Clínico, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (S.P.); (N.G.-P.)
| | - Natalia González-Pereira
- Servicio de Laboratorio Clínico, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (S.P.); (N.G.-P.)
| | - Cristina Bravo
- Servicio de Farmacia, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (C.B.); (C.M.)
| | - Carolina Mariño
- Servicio de Farmacia, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (C.B.); (C.M.)
| | - Luis Antonio Lechuga
- Sistemas, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (L.A.L.); (J.T.)
| | - Jorge Tarancón
- Sistemas, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (L.A.L.); (J.T.)
| | - Sonia Gonzalo
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Santiago Moreno
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, 28029 Madrid, Spain;
- Departamento de Medicina y Especialidades Médicas, Universidad de Alcalá, 28871 Madrid, Spain
- Servicio de Enfermedades Infecciosas, Hospital U. Ramón y Cajal, IRYCIS, 28034 Madrid, Spain
| | - José M. Ruiz-Giardin
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, 28029 Madrid, Spain;
| |
Collapse
|
14
|
Shibata Y, Omae K, Minemura H, Suzuki Y, Nikaido T, Tanino Y, Fukuhara A, Kanno R, Saito H, Suzuki S, Ishii T, Inokoshi Y, Sando E, Sakuma H, Kobayashi T, Kume H, Kamimoto M, Aoki H, Takama A, Kamiyama T, Nakayama M, Saito K, Tanigawa K, Sato M, Kambe T, Kanzaki N, Azuma T, Sakamoto K, Nakamura Y, Ohtani H, Waragai M, Maeda S, Ishida T, Sugino K, Inage M, Hirama N, Furuyama K, Fukushima S, Saito H, Machiya JI, Machida H, Abe K, Iwabuchi K, Katagiri Y, Aida Y, Abe Y, Ota T, Ishizawa Y, Tsukada Y, Yamada R, Sato R, Onuma T, Tomita H, Saito M, Watanabe N, Rikimaru M, Kawamata T, Umeda T, Morimoto J, Togawa R, Sato Y, Saito J, Kanazawa K, Kurita N, Iseki K. Development and external validation of the DOAT and DOATS scores: simple decision support tools to identify disease progression among nonelderly patients with mild/moderate COVID-19. BMC Pulm Med 2023; 23:312. [PMID: 37641057 PMCID: PMC10463653 DOI: 10.1186/s12890-023-02604-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/10/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND During the fifth wave of the coronavirus disease 2019 (COVID-19) pandemic in Japan, which took place between June and September 2021, a significant number of COVID-19 cases with deterioration occurred in unvaccinated individuals < 65 years old. However, the risk factors for COVID-19 deterioration in this specific population have not yet been determined. This study developed a prediction method to identify COVID-19 patients < 65 years old who are at a high risk of deterioration. METHODS This retrospective study analyzed data from 1,675 patients < 65 years old who were admitted to acute care institutions in Fukushima with mild-to-moderate-1 COVID-19 based on the Japanese disease severity criteria prior to the fifth wave. For validation, 324 similar patients were enrolled from 3 hospitals in Yamagata. Logistic regression analyses using cluster-robust variance estimation were used to determine predictors of disease deterioration, followed by creation of risk prediction scores. Disease deterioration was defined as the initiation of medication for COVID-19, oxygen inhalation, or mechanical ventilation starting one day or later after admission. RESULTS The patients whose condition deteriorated (8.6%) tended to be older, male, have histories of smoking, and have high body temperatures, low oxygen saturation values, and comorbidities, such as diabetes/obesity and hypertension. Stepwise variable selection using logistic regression to predict COVID-19 deterioration retained comorbidities of diabetes/obesity (DO), age (A), body temperature (T), and oxygen saturation (S). Two predictive scores were created based on the optimism-corrected regression coefficients: the DOATS score, including all of the above risk factors, and the DOAT score, which was the DOATS score without oxygen saturation. In the original cohort, the areas under the receiver operating characteristic curve (AUROCs) of the DOATS and DOAT scores were 0.81 (95% confidence interval [CI] 0.77-0.85) and 0.80 (95% CI 0.76-0.84), respectively. In the validation cohort, the AUROCs for each score were both 0.76 (95% CI 0.69-0.83), and the calibration slopes were both 0.80. A decision curve analysis confirmed the clinical practicability of both scores in the validation cohort. CONCLUSIONS We established two prediction scores that can quickly evaluate the risk of COVID-19 deterioration in mild/moderate patients < 65 years old.
Collapse
Affiliation(s)
- Yoko Shibata
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Kenji Omae
- Department of Innovative Research and Education for Clinicians and Trainees, Fukushima Medical University Hospital, Fukushima, Japan
| | - Hiroyuki Minemura
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Yasuhito Suzuki
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Takefumi Nikaido
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
- Department of Pulmonary Medicine, Ohara General Hospital, Fukushima, Japan
| | - Yoshinori Tanino
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Atsuro Fukuhara
- Department of Pulmonary Medicine, Ohara General Hospital, Fukushima, Japan
| | - Ryuzo Kanno
- Department of Thoracic Surgery, Fukushima Red Cross Hospital, Fukushima, Japan
| | - Hiroyuki Saito
- Department of Internal Medicine, Fujita General Hospital, Date-gun, Japan
| | - Shuzo Suzuki
- Department of Internal Medicine, Fujita General Hospital, Date-gun, Japan
| | - Taeko Ishii
- Department of Pulmonary Medicine, Saiseikai Fukushima General Hospital, Fukushima, Japan
| | - Yayoi Inokoshi
- Department of Pulmonary Medicine, Saiseikai Fukushima General Hospital, Fukushima, Japan
| | - Eiichiro Sando
- Department of General Internal Medicine and Clinical Infectious Diseases, Fukushima Medical University, Fukushima, Japan
- Department of General Internal Medicine and Infectious Diseases, Kita-Fukushima Medical Center, Date-shi, Japan
| | - Hirofumi Sakuma
- Department of Internal Medicine, Saiseikai Kawamata Hospital, Kawamata, Japan
| | - Tatsuho Kobayashi
- Department of Emergency and Critical Care Medicine, Aizu Chuo Hospital, Aizuwakamatsu, Japan
| | - Hiroaki Kume
- Department of Infectious Disease and Pulmonary Medicine, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu, Japan
| | - Masahiro Kamimoto
- Department of Internal Medicine, Takeda General Hospital, Aizuwakamatsu, Japan
| | - Hideko Aoki
- Department of Pediatric Medicine, Bange Kousei General Hospital, Kawanuma, Japan
| | - Akira Takama
- Department of Surgery, Yurin Hospital, Kitakata, Japan
| | - Takamichi Kamiyama
- Department of Pediatric Surgery, Iwaki City Medical Center, Iwaki, Japan
| | - Masaru Nakayama
- Department of Internal Medicine, Kashima Hospital, Iwaki, Japan
| | - Kiyoshi Saito
- Department of Neurosurgery, Fukushima Rosai Hospital, Iwaki, Japan
| | - Koichi Tanigawa
- Department of Emergency and Critical Care Medicine, Futaba Medical Center, Futaba, Japan
| | - Masahiko Sato
- Department of Internal Medicine, Soma General Hospital, Soma, Japan
| | - Toshiyuki Kambe
- Department of Pulmonary Medicine, Minami-Soma Municipal General Hospital, Minami-Soma, Japan
| | - Norio Kanzaki
- Department of Surgery, Onahama Chuo Clinic, Iwaki, Japan
| | - Teruhisa Azuma
- Department of General Medicine, Shirakawa Satellite for Teaching and Research, Fukushima Medical University, Shirakawa, Japan
| | - Keiji Sakamoto
- Department of Cardiology and Vascular Medicine, Hoshi General Hospital, Koriyama, Japan
| | - Yuichi Nakamura
- Department of Cardiology and Vascular Medicine, Hoshi General Hospital, Koriyama, Japan
| | - Hiroshi Ohtani
- Department of Internal Medicine, Iwase General Hospital, Sukagawa, Japan
| | - Mitsuru Waragai
- Department of Surgery, Southern TOHOKU General Hospital, Koriyama, Japan
| | - Shinsaku Maeda
- Department of Pulmonary Medicine, Jusendo General Hospital, Koriyama, Japan
| | - Tokiya Ishida
- Department of Emergency and Critical Care Medicine, Ohta Nishinouchi Hospital, Koriyama, Japan
| | - Keishi Sugino
- Department of Respiratory Medicine, Tsuboi Hospital, Koriyama, Japan
| | - Minoru Inage
- Department of Pulmonary Medicine, Okitama General Hospital, Higashi-Okitama, Japan
| | - Noriyuki Hirama
- Department of Pulmonary Medicine, Okitama General Hospital, Higashi-Okitama, Japan
| | - Kodai Furuyama
- Department of Pulmonary Medicine, Okitama General Hospital, Higashi-Okitama, Japan
| | - Shigeyuki Fukushima
- Department of Pulmonary Medicine, Okitama General Hospital, Higashi-Okitama, Japan
| | - Hiroshi Saito
- Department of Pulmonary Medicine, Nihonkai General Hospital, Sakata, Japan
| | - Jun-Ichi Machiya
- Department of Pulmonary Medicine, Nihonkai General Hospital, Sakata, Japan
| | - Hiroyoshi Machida
- Department of Pulmonary Medicine, Nihonkai General Hospital, Sakata, Japan
| | - Koya Abe
- Department of Pulmonary Medicine, Nihonkai General Hospital, Sakata, Japan
| | - Katsuyoshi Iwabuchi
- Department of Pulmonary Medicine, Yamagata City Hospital Saiseikan, Yamagata, Japan
| | - Yuji Katagiri
- Department of Pulmonary Medicine, Yamagata City Hospital Saiseikan, Yamagata, Japan
| | - Yasuko Aida
- Department of Pulmonary Medicine, Yamagata City Hospital Saiseikan, Yamagata, Japan
| | - Yuki Abe
- Department of Pulmonary Medicine, Yamagata City Hospital Saiseikan, Yamagata, Japan
| | - Takahito Ota
- Department of Pulmonary Medicine, Yamagata City Hospital Saiseikan, Yamagata, Japan
| | - Yuki Ishizawa
- Department of Pulmonary Medicine, Yamagata City Hospital Saiseikan, Yamagata, Japan
| | - Yasuhiko Tsukada
- Department of Emergency and Critical Care Medicine, Fukushima Medical University, Fukushima, Japan
| | - Ryuki Yamada
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Riko Sato
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Takumi Onuma
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Hikaru Tomita
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Mikako Saito
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Natsumi Watanabe
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Mami Rikimaru
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Takaya Kawamata
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Takashi Umeda
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Julia Morimoto
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Ryuichi Togawa
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Yuki Sato
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Junpei Saito
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Kenya Kanazawa
- Department of Pulmonary Medicine, Fukushima Medical University, Fukushima, Japan
| | - Noriaki Kurita
- Department of Innovative Research and Education for Clinicians and Trainees, Fukushima Medical University Hospital, Fukushima, Japan
| | - Ken Iseki
- Department of Emergency and Critical Care Medicine, Fukushima Medical University, Fukushima, Japan
| |
Collapse
|
15
|
Takahashi E, Sawabuchi T, Homma T, Fukuda Y, Sagara H, Kinjo T, Fujita K, Suga S, Kimoto T, Sakai S, Kameda K, Kido H. Clinical Utility of SARS-CoV-2 Antibody Titer Multiplied by Binding Avidity of Receptor-Binding Domain (RBD) in Monitoring Protective Immunity and Clinical Severity. Viruses 2023; 15:1662. [PMID: 37632005 PMCID: PMC10459795 DOI: 10.3390/v15081662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/20/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023] Open
Abstract
Conventional serum antibody titer, which expresses antibody level, does not provide antigen binding avidity of the variable region of the antibody, which is essential for the defense response to infection. Here, we quantified anti-SARS-CoV-2 antibody binding avidity to the receptor-binding domain (RBD) by competitive binding-inhibition activity (IC50) between SARS-CoV-2 S1 antigen immobilized on the DCP microarray and various RBD doses added to serum and expressed as 1/IC50 nM. The binding avidity analyzed under equilibrium conditions of antigen-antibody binding reaction is different from the avidity index measured with the chaotropic agent, such as urea, under nonequilibrium and short-time conditions. Quantitative determination of the infection-protection potential of antibodies was assessed by ABAT (antigen binding avidity antibody titer), which was calculated by the quantity (level) × quality (binding avidity) of antibodies. The binding avidity correlated strongly (r = 0.811) with cell-based virus-neutralizing activity. Maturation of the protective antibody induced by repeated vaccinations or SARS-CoV-2 infection was classified into three categories of ABAT, such as an initial, low, and high ABAT. Antibody maturity correlated with the clinical severity of COVID-19. Once a mature high binding avidity was achieved, it was maintained for at least 6-8 months regardless of the subsequent change in the antibody levels.
Collapse
Affiliation(s)
- Etsuhisa Takahashi
- Division of Enzyme Chemistry, Institute for Enzyme Research, Tokushima University, Tokushima 770-8503, Japan; (E.T.); (T.S.); (T.K.); (K.K.)
| | - Takako Sawabuchi
- Division of Enzyme Chemistry, Institute for Enzyme Research, Tokushima University, Tokushima 770-8503, Japan; (E.T.); (T.S.); (T.K.); (K.K.)
| | - Tetsuya Homma
- Division of Respiratory Medicine & Allergology, Showa University School of Medicine, Tokyo 142-8666, Japan; (T.H.); (Y.F.); (H.S.)
| | - Yosuke Fukuda
- Division of Respiratory Medicine & Allergology, Showa University School of Medicine, Tokyo 142-8666, Japan; (T.H.); (Y.F.); (H.S.)
| | - Hironori Sagara
- Division of Respiratory Medicine & Allergology, Showa University School of Medicine, Tokyo 142-8666, Japan; (T.H.); (Y.F.); (H.S.)
| | - Takeshi Kinjo
- First Department of Internal Medicine, Division of Infectious, Respiratory, and Digestive Medicine, University of the Ryukyu Graduate School of Medicine, Okinawa 903-0215, Japan;
| | - Kaori Fujita
- Division of Pulmonary Medicine, National Hospital Organization Okinawa National Hospital, Okinawa 901-2214, Japan;
| | - Shigeru Suga
- National Hospital Organization Mie National Hospital, Mie 514-0125, Japan;
| | - Takashi Kimoto
- Division of Enzyme Chemistry, Institute for Enzyme Research, Tokushima University, Tokushima 770-8503, Japan; (E.T.); (T.S.); (T.K.); (K.K.)
| | - Satoko Sakai
- Division of Enzyme Chemistry, Institute for Enzyme Research, Tokushima University, Tokushima 770-8503, Japan; (E.T.); (T.S.); (T.K.); (K.K.)
| | - Keiko Kameda
- Division of Enzyme Chemistry, Institute for Enzyme Research, Tokushima University, Tokushima 770-8503, Japan; (E.T.); (T.S.); (T.K.); (K.K.)
- National Hospital Organization Mie National Hospital, Mie 514-0125, Japan;
| | - Hiroshi Kido
- Division of Enzyme Chemistry, Institute for Enzyme Research, Tokushima University, Tokushima 770-8503, Japan; (E.T.); (T.S.); (T.K.); (K.K.)
| |
Collapse
|
16
|
Tanaka H, Chubachi S, Namkoong H, Sato Y, Asakura T, Lee H, Azekawa S, Otake S, Nakagawara K, Fukushima T, Watase M, Sakurai K, Kusumoto T, Kondo Y, Masaki K, Kamata H, Ishii M, Kaneko Y, Hasegawa N, Ueda S, Sasaki M, Izumo T, Inomata M, Miyazawa N, Kimura Y, Suzuki Y, Harada N, Ichikawa M, Takata T, Ishikura H, Yoshiyama T, Kokuto H, Murakami K, Sano H, Ueda T, Kuwahara N, Fujiwara A, Ogura T, Inoue T, Asami T, Mutoh Y, Nakachi I, Baba R, Nishi K, Tani M, Kagyo J, Hashiguchi M, Oguma T, Asano K, Nishikawa M, Watanabe H, Okada Y, Koike R, Kitagawa Y, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K. 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. Open Forum Infect Dis 2023; 10:ofad311. [PMID: 37441355 PMCID: PMC10334380 DOI: 10.1093/ofid/ofad311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 06/07/2023] [Indexed: 07/15/2023] Open
Abstract
Background To determine the effectiveness of baricitinib in patients with coronavirus disease 2019 (COVID-19), investigate whether baricitinib prevents the need for invasive mechanical ventilation and identify patient subgroups that would benefit from baricitinib. Methods This observational matched-cohort study was conducted by the Japan COVID-19 Task Force, a nationwide multicenter consortium. Patients with COVID-19 aged ≥18 years were identified from 70 hospitals in Japan. Among patients with confirmed COVID-19 from February 2020 to September 2021, those receiving baricitinib were propensity-score matched with controls. Results Among 3309 patients, 144 propensity score-matched pairs were identified. Thirteen (9.0%) patients in the baricitinib group and 27 (18.8%) in the control group required invasive mechanical ventilation during the disease course (odds ratio, 0.43). Although the baricitinib group had more severe disease, there were no significant differences in the intensive care unit admission rates (odds ratio, 1.16) and mortality rates (odds ratio, 0.74) between groups. In subgroup analyses, baricitinib was associated with a significant reduction in the need for invasive mechanical ventilation in patients requiring oxygen support (odds ratio, 0.28), with rapid shadow spread on chest radiography (odds ratio, 0.11), or treated with remdesivir (odds ratio, 0.27), systemic corticosteroids (odds ratio, 0.31), or anticoagulants (odds ratio, 0.17). Conclusions Baricitinib is effective at preventing the need for invasive mechanical ventilation in patients with COVID-19.
Collapse
Affiliation(s)
- Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shotaro Chubachi
- Correspondence: Shotaro Chubachi, MD, PhD, Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan (); Ho Namkoong, MD, PhD, Department of Infectious Diseases, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan ()
| | - Ho Namkoong
- Correspondence: Shotaro Chubachi, MD, PhD, Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan (); Ho Namkoong, MD, PhD, Department of Infectious Diseases, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan ()
| | - Yasunori Sato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Ho Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kaori Sakurai
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Tatsuya Kusumoto
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yasushi Kondo
- Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Katsunori Masaki
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hirofumi Kamata
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yuko Kaneko
- Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Naoki Hasegawa
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Soichiro Ueda
- JCHO (Japan Community Health Care Organization) Saitama Medical Center, Internal Medicine, Saitama, Japan
| | - Mamoru Sasaki
- JCHO (Japan Community Health Care Organization) Saitama Medical Center, Internal Medicine, Saitama, Japan
| | | | | | - Naoki Miyazawa
- Department of Respiratory Medicine, Saiseikai Yokohamashi Nanbu Hospital, Yokohama, Japan
| | - Yasuhiro Kimura
- Department of Respiratory Medicine, Saiseikai Yokohamashi Nanbu Hospital, Yokohama, Japan
| | - Yusuke Suzuki
- Department of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan
| | - Norihiro Harada
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Masako Ichikawa
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Tohru Takata
- Department of Infection Control, Fukuoka University Hospital, Fukuoka, Japan
| | - Hiroyasu Ishikura
- Department of Emergency and Critical Care Medicine, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | | | | | - Koji Murakami
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hirohito Sano
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tetsuya Ueda
- Department of Respiratory Medicine, Osaka Saiseikai Nakatsu Hospital, Osaka, Japan
| | - Naota Kuwahara
- Internal Medicine, Internal Medicine Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Akiko Fujiwara
- Internal Medicine, Internal Medicine Center, Showa University Koto Toyosu Hospital, Tokyo, Japan
| | - Takashi Ogura
- Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Takashi Inoue
- Internal Medicine, Sano Kosei General Hospital, Sano, Japan
| | - Takahiro Asami
- Internal Medicine, Sano Kosei General Hospital, Sano, Japan
| | - Yoshikazu Mutoh
- Department of Infectious Diseases, Tosei General Hospital, Seto, Japan
| | | | - Rie Baba
- Department of Infectious Diseases, Tosei General Hospital, Seto, Japan
| | - Koichi Nishi
- Ishikawa Prefectural Central Hospital, Kanazawa, Japan
| | - Mayuko Tani
- Ishikawa Prefectural Central Hospital, Kanazawa, Japan
| | | | | | - Tsuyoshi Oguma
- Division of Pulmonary Medicine, Department of Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Koichiro Asano
- Division of Pulmonary Medicine, Department of Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Masanori Nishikawa
- Department of Respiratory Medicine, Fujisawa City Hospital, Fujisawa, Japan
| | - Hiroki Watanabe
- Department of Respiratory Medicine, Fujisawa City Hospital, Fujisawa, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Ryuji Koike
- Medical Innovation Promotion Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | | |
Collapse
|
17
|
Tanaka H, Chubachi S, Asakura T, Namkoong H, Azekawa S, Otake S, Nakagawara K, Fukushima T, Lee H, 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, Fukunaga K. Characteristics and Clinical Effectiveness of COVID-19 Vaccination in Hospitalized Patients in Omicron-dominated Epidemic Wave - A Nationwide Study in Japan. Int J Infect Dis 2023; 132:84-88. [PMID: 37086866 PMCID: PMC10121147 DOI: 10.1016/j.ijid.2023.04.399] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 04/09/2023] [Accepted: 04/14/2023] [Indexed: 04/24/2023] Open
Abstract
OBJECTIVES Coronavirus disease (COVID-19) was severe in the Delta variant-dominated epidemic wave (fifth wave) in Japan. The clinical characteristics and effectiveness of COVID-19 vaccination are not fully understood in the Omicron variant-dominated wave (sixth and seventh waves), especially in hospitalized patients. We investigated the relationship between vaccination and disease severity in the Omicron-dominated wave and compared these variant-dominated waves. METHODS The nationwide COVID-19 database (Japan COVID-19 Task Force) was used to compare clinical characteristics and critical outcome in patients hospitalized from Delta (5th, N=735) vs Omicron-dominated waves (6th, N=495; 7th, N=128). RESULTS Patients in the sixth and seventh waves had a lower incidence of critical outcomes and respiratory outcomes, and a higher incidence of bacterial infection, although the mortality rate did not differ significantly between waves. In the sixth and seventh waves, 138 (27.9%) and 29 (22.7%) COVID-19 patients were unvaccinated, respectively. Multivariable analysis adjusted with previously reported factors revealed that the proportion of 1) critical outcomes and 2) respiratory outcomes decreased in a frequency-dependent manner; 1) (the number of vaccinations): 1-2 times, aOR 0.37 (95% CI; 0.20-0.69); 3-4 times: aOR 0.25 (95% CI; 0.11-0.58), 2) 1-2 times, aOR 0.43 (95% CI; 0.27-0.66); 3-4 times: aOR 0.36 (95% CI; 0.21-0.60). CONCLUSIONS COVID-19 hospitalized patients with Omicron infections showed a lower incidence of critical outcomes than those with Delta infections, and COVID-19 vaccination may contribute to preventing respiratory failure.
Collapse
Affiliation(s)
- Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan; Department of Respiratory Medicine, Kitasato University, Kitasato Institute Hospital, Tokyo, Japan
| | - Ho Namkoong
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Ho Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kaori Sakurai
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Tatsuya Kusumoto
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Katsunori Masaki
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Hirofumi Kamata
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Hasegawa
- Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Ryuji Koike
- Medical Innovation Promotion Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
18
|
Palazzuoli A, Beltrami M, McCullough PA. Acute COVID-19 Management in Heart Failure Patients: A Specific Setting Requiring Detailed Inpatient and Outpatient Hospital Care. Biomedicines 2023; 11:biomedicines11030790. [PMID: 36979769 PMCID: PMC10045184 DOI: 10.3390/biomedicines11030790] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/24/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
The relationship existing between heart failure (HF) and COVID-19 remains questioned and poorly elucidated. Many reports suggest that HF events are reduced during pandemics, although other studies have demonstrated higher mortality and sudden death in patients affected by HF. Several vascular, thrombotic, and respiratory features may deteriorate stable HF patients; therefore, the infection may directly cause direct myocardial damage, leading to cardiac function deterioration. Another concern is related to the possibility that antiviral, anti-inflammatory, and corticosteroid agents commonly employed during acute COVID-19 infection may have potentially deleterious effects on the cardiovascular (CV) system. For these reasons, HF patients deserve specific management with a tailored approach in order to avoid arrhythmic complications and fluid retention events. In this review, we describe the complex interplay between COVID-19 and HF, the evolving trend of infection with related CV events, and the specific management strategy to adopt in this setting.
Collapse
Affiliation(s)
- Alberto Palazzuoli
- Cardiovascular Diseases Unit, Department of Medical Sciences, Le Scotte Hospital University of Siena Italy, 53100 Siena, Italy
| | - Matteo Beltrami
- Cardiology Unit, San Giovanni di Dio Hospital, Azienda USL Toscana Centro, 50134 Florence, Italy
- Correspondence: ; Tel.: +39-339-5418158
| | | |
Collapse
|
19
|
Kato F, Bunya N, Nakayama R, Narimatsu E, Ohshimo S, Shime N, Kushimoto S, Hashimoto S, Takeda S. Multisystem inflammatory syndrome in adults with COVID-19 requiring mechanical ventilation: A retrospective cohort study. Acute Med Surg 2023; 10:e885. [PMID: 37638074 PMCID: PMC10450828 DOI: 10.1002/ams2.885] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/25/2023] [Accepted: 08/01/2023] [Indexed: 08/29/2023] Open
Abstract
Aim Multisystem inflammatory syndrome in adults (MIS-A) is a hyperinflammatory multisystem condition associated with coronavirus disease (COVID-19). Critically ill COVID-19 patients may develop multiorgan damage and elevated inflammatory responses, thus making it difficult to differentiate between progression to organ damage due to COVID-19 itself or MIS-A. This study aimed to explore the characteristics and complications of MIS-A in critical COVID-19 patients. Methods The Japan Extracorporeal Membrane Oxygenation (ECMO) Network and ICU Collaboration Network developed a web-based database system called the CRoss Intensive Care Unit Searchable Information System (CRISIS) to monitor critical COVID-19 patients throughout Japan. We retrospectively identified patients with MIS-A among critical COVID-19 patients enrolled from March 2020 to December 2021, using CRISIS. Our MIS-A definition required patients to be at least 18 years of age, have laboratory evidence of inflammation, severe dysfunction of at least two extrapulmonary organ systems, and no plausible alternative diagnoses. Results Of the 1052 patients, 26 (2.5%) were diagnosed with MIS-A. The MIS-A patients had a higher likelihood of using ECMO (13% vs. 46%, p < 0.001) and lower overall survival (77% vs. 42%, p < 0.001) than non-MIS-A patients. More than 80% of the MIS-A cases occurred 3 weeks after the COVID-19 onset. Conclusion Multisystem inflammatory syndrome in adults can occur in 2.5% of critically ill COVID-19 patients, and the mortality rate is high. Multisystem inflammatory syndrome in adults may be considered when there is a re-elevation of the unexplained inflammatory response and severe dysfunction of at least two extrapulmonary organ systems several weeks after the onset of COVID-19.
Collapse
Affiliation(s)
- Fumito Kato
- Department of Emergency MedicineSapporo Medical UniversitySapporoJapan
| | - Naofumi Bunya
- Department of Emergency MedicineSapporo Medical UniversitySapporoJapan
- Nonprofit Organization, Japan ECMO NetworkKawaguchiJapan
| | - Ryuichi Nakayama
- Department of Emergency MedicineSapporo Medical UniversitySapporoJapan
| | - Eichi Narimatsu
- Department of Emergency MedicineSapporo Medical UniversitySapporoJapan
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Shigeki Kushimoto
- Nonprofit Organization, Japan ECMO NetworkKawaguchiJapan
- Division of Emergency and Critical Care MedicineTohoku University Graduate School of MedicineSendaiJapan
| | - Satoru Hashimoto
- Nonprofit Organization, Japan ECMO NetworkKawaguchiJapan
- Nonprofit Organization, ICU Collaboration NetworkTokyoJapan
| | - Shinhiro Takeda
- Nonprofit Organization, Japan ECMO NetworkKawaguchiJapan
- Kawaguchi Cardiovascular and Respiratory HospitalKawaguchiJapan
| |
Collapse
|