• Akiyoshi Hagiwara, Noriko Tanaka, Yosuke Inaba, Satoshi Gando, Atsushi Shiraishi, Daizoh Saitoh, Yasuhiro Otomo, Hiroto Ikeda, Hiroshi Ogura, Shigeki Kushimoto, Joji Kotani, Yuichiro Sakamoto, Yasukazu Shiino, Shin-Ichiro Shiraishi, Kiyotsugu Takuma, Takehiko Tarui, Ryosuke Tsuruta, Taka-Aki Nakada, Toru Hifumi, Kazuma Yamakawa, Naoshi Takeyama, Norio Yamashita, Toshikazu Abe, Masashi Ueyama, Kohji Okamoto, Junichi Sasaki, Tomohiko Masuno, Toshihiko Mayumi, Seitaro Fujishima, Yutaka Umemura, and Satoshi Fujimi.
• Department of Emergency Medicine, Niizashiki Chuo General Hospital, Saitama.
• Medicine (Baltimore). 2021 Feb 26; 100 (8): e24844e24844.

AbstractThis 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.Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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