Predictors of severe sepsis-related in-hospital mortality based on a multicenter cohort study
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- Akiyoshi Hagiwara
- Department of Emergency Medicine, Niizashiki Chuo General Hospital, Saitama
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- Noriko Tanaka
- Biostatistics Section, Department of Data Science, Clinical Science Center, National Center for Global Health and Medicine, Tokyo
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- Yosuke Inaba
- Biostatistics Section, Department of Data Science, Clinical Science Center, National Center for Global Health and Medicine, Tokyo
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- Satoshi Gando
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Hokkaido University Graduate School of Medicine, Sapporo
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- Atsushi Shiraishi
- Emergency and Trauma Center, Kameda Medical Center, Chiba
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- Daizoh Saitoh
- Division of Traumatology, Research Institute, National Defense Medical College, Tokorozawa
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- Yasuhiro Otomo
- Trauma and Acute Critical Care Center, Medical Hospital, Tokyo Medical, and Dental University
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- Hiroto Ikeda
- Department of Emergency Medicine, Teikyo University School of Medicine, Tokyo
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- Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Osaka
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- Shigeki Kushimoto
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Miyagi
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- Joji Kotani
- Department of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe
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- Yuichiro Sakamoto
- Emergency and Critical Care Medicine, Saga University Hospital, Saga
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- Yasukazu Shiino
- Department of Acute Medicine, Kawasaki Medical School, Kurashiki
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- Shin-ichiro Shiraishi
- Department of Emergency and Critical Care Medicine, Aizu Chuo Hospital, Aizuwakamatsu
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- Kiyotsugu Takuma
- Emergency and Critical Care Center, Kawasaki Municipal Kawasaki Hospital, Kawasaki, Kanagawa
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- Takehiko Tarui
- Department of Trauma and Critical Care Medicine, Kyorin University School of Medicine, Mitaka
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- Ryosuke Tsuruta
- Advanced Medical Emergency & Critical Care Center, Yamaguchi University Hospital, Ube
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- Taka-aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba
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- Toru Hifumi
- Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Chūō, Tokyo
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- Kazuma Yamakawa
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka
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- Naoshi Takeyama
- Advanced Critical Care Center, Aichi Medical University Hospital, Aichi
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- Norio Yamashita
- Advanced Emergency Medical Service Center, Kurume University Hospital, Kurume, Fukuoka
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- Toshikazu Abe
- Department of General Medicine, Juntendo University, Tokyo
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- Masashi Ueyama
- Department of Trauma, Critical Care Medicine, and Burn Center, Japan Community Healthcare Organization, Chukyo Hospital, Nagoya, Aichi
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- Kohji Okamoto
- Department of Surgery, Center for Gastroenterology and Liver Disease, Kitakyushu City Yahata Hospital
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- Junichi Sasaki
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Shinjuku City
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- Tomohiko Masuno
- Department of Emergency and Critical Care Medicine, Nippon Medical School, Bunkyo City, Tokyo
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- Toshihiko Mayumi
- Department of Emergency Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka
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- Seitaro Fujishima
- Center for General Medicine Education, Keio University School of Medicine, Shinjuku City, Tokyo
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- Yutaka Umemura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine
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- Satoshi Fujimi
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Japan.
書誌事項
- タイトル別名
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- The Focused Outcomes Research in Emergency Care in Acute Respiratory Distress Syndrome, Sepsis, and Trauma study
この論文をさがす
説明
<jats:sec> <jats:title>Abstract</jats:title> <jats:p>This study aimed to identify prognostic factors for severe sepsis-related in-hospital mortality using the structural equation model (SEM) analysis with statistical causality. Sepsis data from the Focused Outcomes Research in Emergency Care in Acute Respiratory Distress Syndrome, Sepsis, and Trauma study (FORECAST), a multicenter cohort study, was used. Forty seven observed variables from the database were used to construct 4 latent variables. SEM analysis was performed on these latent variables to analyze the statistical causality among these data. This study evaluated whether the variables had an effect on in-hospital mortality. Overall, 1148 patients were enrolled. The SEM analysis showed that the 72-hour physical condition was the strongest latent variable affecting mortality, followed by physical condition before treatment. Furthermore, the 72-hour physical condition and the physical condition before treatment strongly influenced the Sequential Organ Failure Assessment (SOFA) score with path coefficients of 0.954 and 0.845, respectively. The SOFA score was the strongest variable that affected mortality after the onset of severe sepsis. The score remains the most robust prognostic factor and can facilitate appropriate policy development on care.</jats:p> </jats:sec>
収録刊行物
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- Medicine
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Medicine 100 (8), e24844-, 2021-02-26
Ovid Technologies (Wolters Kluwer Health)
