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31 results on '"Kushimoto, Shigeki"'

1. Additional file 2 of Sepsis-related coagulopathy treatment based on the disseminated intravascular coagulation diagnostic criteria: a post-hoc analysis of a prospective multicenter observational study

Author

Wada, Takeshi, Yamakawa, Kazuma, Kabata, Daijiro, Abe, Toshikazu, Fujishima, Seitaro, Kushimoto, Shigeki, Mayumi, Toshihiko, Ogura, Hiroshi, Saitoh, Daizoh, Shiraishi, Atsushi, Otomo, Yasuhiro, and Gando, Satoshi

Abstract

Additional file 2: Figure S1. Flowchart of the study population. Figure S2. Original three-dimensional representation shown in Fig. 2. Figure S3. Original three-dimensional representation shown in Fig. 3.

Published
2023
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3. Additional file 1 of Sepsis-related coagulopathy treatment based on the disseminated intravascular coagulation diagnostic criteria: a post-hoc analysis of a prospective multicenter observational study

Author

Wada, Takeshi, Yamakawa, Kazuma, Kabata, Daijiro, Abe, Toshikazu, Fujishima, Seitaro, Kushimoto, Shigeki, Mayumi, Toshihiko, Ogura, Hiroshi, Saitoh, Daizoh, Shiraishi, Atsushi, Otomo, Yasuhiro, and Gando, Satoshi

Abstract

Additional file 1: Table S1. Scoring system for DIC according to the JAAM. Table S2. Platelet counts, global markers of coagulation, and fibrinolysis at hospital arrival in sepsis patients according to PT-INR value. Table S3. Clinical outcomes and PT-INR at hospital arrival.

Published
2023
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4. Additional file 4 of Trends in survival during the pandemic in patients with critical COVID-19 receiving mechanical ventilation with or without ECMO: analysis of the Japanese national registry data

Author

Ohshimo, Shinichiro, Liu, Keibun, Ogura, Takayuki, Iwashita, Yoshiaki, Kushimoto, Shigeki, Shime, Nobuaki, Hashimoto, Satoru, Fujino, Yuji, and Takeda, Shinhiro

Abstract

Additional file 4: Fig. S3. ROC curve analysis for predicting poor outcome in patients with severe COVID-19 receiving mechanical ventilation. (A) ROC curve for age, (B) for body mass index, (C) for the number of ventilator days, and (D) for the number of mechanical ventilations experienced at an institution for patients with severe COVID-19. ROC, receiver operating characteristic curve; COVID-19, coronavirus disease 2019

Published
2022
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7. Additional file 5 of Trends in survival during the pandemic in patients with critical COVID-19 receiving mechanical ventilation with or without ECMO: analysis of the Japanese national registry data

Author

Ohshimo, Shinichiro, Liu, Keibun, Ogura, Takayuki, Iwashita, Yoshiaki, Kushimoto, Shigeki, Shime, Nobuaki, Hashimoto, Satoru, Fujino, Yuji, and Takeda, Shinhiro

Abstract

Additional file 5: Fig. S4. ROC curve analysis for predicting poor outcome in patients with critical COVID-19 receiving ECMO. (A) ROC curve for age, (B) body mass index, (C) number of ventilator days before starting ECMO, (D) number of ECMO experiences at an institution for patients with critical COVID-19, and (E) number of ECMO days. ROC, receiver operating characteristic curve; COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenation

Published
2022
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8. Additional file 3 of Trends in survival during the pandemic in patients with critical COVID-19 receiving mechanical ventilation with or without ECMO: analysis of the Japanese national registry data

Author

Ohshimo, Shinichiro, Liu, Keibun, Ogura, Takayuki, Iwashita, Yoshiaki, Kushimoto, Shigeki, Shime, Nobuaki, Hashimoto, Satoru, Fujino, Yuji, and Takeda, Shinhiro

Abstract

Additional file 3: Fig. S2. Serial changes in the survival rates of patients with severe COVID-19 receiving mechanical ventilation (A) and ECMO (B). (A) The number of patients receiving mechanical ventilation increased with each outbreak from the first to the fifth outbreaks; however, the survival rate improved continuously. The gray bars indicate the numbers of survivors, the black bars indicate the numbers of deaths, and the white circles indicate the survival rates. (B) The survival rate remained nearly unchanged throughout the five outbreaks, except for a slight decrease during the third outbreak. The survival rate divided by the average number of patients per month (busyness-adjusted survival index) improved continuously. The gray bars indicate the numbers of survivors, the black bars indicate the numbers of deaths, the white circles indicate the survival rates, and the white diamonds indicate the busyness-adjusted survival index values. COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenation

Published
2022
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10. Additional file 1 of Extracorporeal cardiopulmonary resuscitation in adult patients with out-of-hospital cardiac arrest: a retrospective large cohort multicenter study in Japan

Author

Inoue, Akihiko, Hifumi, Toru, Sakamoto, Tetsuya, Okamoto, Hiroshi, Kunikata, Jun, Yokoi, Hideto, Sawano, Hirotaka, Egawa, Yuko, Kato, Shunichi, Sugiyama, Kazuhiro, Bunya, Naofumi, Kasai, Takehiko, Ijuin, Shinichi, Nakayama, Shinichi, Kanda, Jun, Kanou, Seiya, Takiguchi, Toru, Yokobori, Shoji, Takada, Hiroaki, Inoue, Kazushige, Takeuchi, Ichiro, Honzawa, Hiroshi, Kobayashi, Makoto, Hamagami, Tomohiro, Takayama, Wataru, Otomo, Yasuhiro, Maekawa, Kunihiko, Shimizu, Takafumi, Nara, Satoshi, Nasu, Michitaka, Takahashi, Kuniko, Hagiwara, Yoshihiro, Kushimoto, Shigeki, Fukuda, Reo, Ogura, Takayuki, Shiraishi, Shin-ichiro, Zushi, Ryosuke, Otani, Norio, Kikuchi, Migaku, Watanabe, Kazuhiro, Nakagami, Takuo, Shoko, Tomohisa, Kitamura, Nobuya, Otani, Takayuki, Matsuoka, Yoshinori, Aoki, Makoto, Sakuraya, Masaaki, Arimoto, Hideki, Homma, Koichiro, Naito, Hiromichi, Nakao, Shunichiro, Okazaki, Tomoya, Tahara, Yoshio, and Kuroda, Yasuhiro

Abstract

Additional file 1: Fig. S1 Distribution of participating institutions in SAVE-J II. Fig. S2 Distribution of participating institutions and ECPR From 6 to 135 cases. Fig. S3 Distribution of age and estimated low flow time. Fig. S4 ECPR cases and neurological outcome and survival to hospital discharge, 2013–2018. Fig. S5 Association between age or estimated low flow time and complications. Table S1. Baseline characteristics according to neurological outcome at hospital discharge (N = 1644). Table S2. Baseline characteristics according to survival to hospital discharge (N = 1644). Table S3. Complications during ECPR according to neurological outcomes and survival to hospital discharge (N = 1644). Table S4. Baseline characteristics between initial cardiac rhythm at the scene (N = 1628). Table S5. Outcome data and complications during ECPR between initial cardiac rhythm at the scene (N = 1628). Table S6. ECMO information

Published
2022
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11. Additional file 2 of Trends in survival during the pandemic in patients with critical COVID-19 receiving mechanical ventilation with or without ECMO: analysis of the Japanese national registry data

Author

Ohshimo, Shinichiro, Liu, Keibun, Ogura, Takayuki, Iwashita, Yoshiaki, Kushimoto, Shigeki, Shime, Nobuaki, Hashimoto, Satoru, Fujino, Yuji, and Takeda, Shinhiro

Abstract

Additional file 2: Fig. S1. Serial changes in the number of patients with severe COVID-19 receiving mechanical ventilation and ECMO, and the serial proportion of patients who had ECMO added to mechanical ventilation. There have been five outbreaks of COVID-19 in Japan to date, and the number of patients receiving mechanical ventilation increased continuously. However, the proportion of patients changed from mechanical ventilation to ECMO decreased continuously. The gray bars indicate the numbers of patients receiving mechanical ventilation, the black bars indicate the numbers of patients receiving ECMO, and the white circles indicate the proportions of patients who were changed from mechanical ventilation to ECMO. COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenation

Published
2022
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15. Additional file 1 of Hyperoxemia during resuscitation of trauma patients and increased intensive care unit length of stay: inverse probability of treatment weighting analysis

Author

Yamamoto, Ryo, Fujishima, Seitaro, Sasaki, Junichi, Gando, Satoshi, Daizoh Saitoh, Shiraishi, Atsushi, Kushimoto, Shigeki, Ogura, Hiroshi, Abe, Toshikazu, Mayumi, Toshihiko, Kotani, Joji, Taka-Aki Nakada, Shiino, Yasukazu, Tarui, Takehiko, Okamoto, Kohji, Sakamoto, Yuichiro, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Hifumi, Toru, Yamakawa, Kazuma, Hagiwara, Akiyoshi, and Otomo, Yasuhiro

Subjects
health care facilities, manpower, and services
Abstract

Additional file 1 : Table S1. Hyperoxemia and ICU-free days in subgroups.

Published
2021
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16. Diagnosis of blunt thoracic aortic injury with electrocardiogram-gated computed tomography in pediatric patient: A case report

Author

Tanikawa, Atsushi, Kushimoto, Shigeki, Kudo, Daisuke, and Tada, Shuhei

Subjects
Electrocardiogram-gated computed tomography, Blunt chest trauma, Thoracic aortic injury, RD1-811, Pediatric patients, cardiovascular system, Emergency Medicine, Case Report, Surgery, Orthopedics and Sports Medicine, Critical Care and Intensive Care Medicine
Abstract

Computed tomography (CT) is a sensitive and specific test for thoracic aortic injury, and is the choice of diagnostic test for adult patients. However, the diagnostic accuracy of conventional CT in pediatric patients has not been elucidated, and the diagnostic strategy has not been clarified. We present the case of an eight-year-old patient who had a thoracic injury, with left open pneumothorax, pulmonary contusion, and multiple left-sided rib fractures. Although the findings on conventional CT were insufficient either to diagnose or deny as having thoracic aortic injury, additional examination using electrocardiogram-gated CT angiography and three-dimensional reconstruction revealed a localized enlarged aortic diameter with an intimal flap. Electrocardiogram-gated CT may be useful for diagnosing thoracic aortic injury in pediatric patients.

Published
2022

17. Supplemental Material, Supplementary_figures - A Novel Type of Stem Cells Double-Positive for SSEA-3 and CD45 in Human Peripheral Blood

Author

Sato, Tetsuya, Wakao, Shohei, Kushida, Yoshihiro, Tatsumi, Kazuki, Kitada, Masaaki, Abe, Takatsugu, Kuniyasu Niizuma, Teiji Tominaga, Kushimoto, Shigeki, and Dezawa, Mari

Subjects
Medicine, Cell Biology
Abstract

Supplemental Material, Supplementary_figures for A Novel Type of Stem Cells Double-Positive for SSEA-3 and CD45 in Human Peripheral Blood by Tetsuya Sato, Shohei Wakao, Yoshihiro Kushida, Kazuki Tatsumi, Masaaki Kitada, Takatsugu Abe, Kuniyasu Niizuma, Teiji Tominaga, Shigeki Kushimoto and Mari Dezawa in Cell Transplantation

Published
2020
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18. Additional file 3 of Significance of body temperature in elderly patients with sepsis

Author

Shimazui, Takashi, Nakada, Taka-Aki, Walley, Keith R., Oshima, Taku, Abe, Toshikazu, Ogura, Hiroshi, Shiraishi, Atsushi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Shiino, Yasukazu, Tarui, Takehiko, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Abstract

Additional file 3: Figure S2. Associations between the body temperature

Published
2020
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19. Additional file 2 of Significance of body temperature in elderly patients with sepsis

Author

Shimazui, Takashi, Nakada, Taka-Aki, Walley, Keith R., Oshima, Taku, Abe, Toshikazu, Ogura, Hiroshi, Shiraishi, Atsushi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Shiino, Yasukazu, Tarui, Takehiko, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Abstract

Additional file 2: Figure S1. Associations between the vital signs and 90-day in-hospital mortality adjusted with additional covariates which associated with age related-changes. a. Discovery analysis (FORECAST cohort). b. Validation analyses (JAAMSR cohort and SPH cohort).

Published
2020
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20. MOESM1 of Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study

Author

Iriyama, Hiroki, Abe, Toshikazu, Kushimoto, Shigeki, Seitaro Fujishima, Ogura, Hiroshi, Shiraishi, Atsushi, Daizoh Saitoh, Mayumi, Toshihiko, Naito, Toshio, Komori, Akira, Hifumi, Toru, Shiino, Yasukazu, Taka-Aki Nakada, Tarui, Takehiko, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Abstract

Additional file 1: Table S1. Multivariable analysis including pathogens. Table S2. Multivariable analysis including Non-pulmonary SOFA score instead of APACHE II score. Two supplementary tables contain the results of sensitivity analyses indicated in the main manuscript.

Published
2020
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21. Additional file 6 of Significance of body temperature in elderly patients with sepsis

Author

Shimazui, Takashi, Nakada, Taka-Aki, Walley, Keith R., Oshima, Taku, Abe, Toshikazu, Ogura, Hiroshi, Shiraishi, Atsushi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Shiino, Yasukazu, Tarui, Takehiko, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Abstract

Additional file 6: Figure S5. Associations between the vital signs and 28-day in-hospital mortality in discovery cohort (FORECAST cohort).

Published
2020
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22. Additional file 4 of Significance of body temperature in elderly patients with sepsis

Author

Shimazui, Takashi, Nakada, Taka-Aki, Walley, Keith R., Oshima, Taku, Abe, Toshikazu, Ogura, Hiroshi, Shiraishi, Atsushi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Shiino, Yasukazu, Tarui, Takehiko, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Abstract

Additional file 4: Figure S3. Probability of mortality corresponding to the body temperature category of > 38.3 °C. a. Discovery cohort (FORECAST cohort). b. Validation cohort 1 (JAAMSR cohort). c. Validation cohort 2 (SPH cohort).

Published
2020
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23. Supplemental Material, Reviewer - A Novel Type of Stem Cells Double-Positive for SSEA-3 and CD45 in Human Peripheral Blood

Author

Sato, Tetsuya, Wakao, Shohei, Kushida, Yoshihiro, Tatsumi, Kazuki, Kitada, Masaaki, Abe, Takatsugu, Kuniyasu Niizuma, Teiji Tominaga, Kushimoto, Shigeki, and Dezawa, Mari

Subjects
Medicine, Cell Biology
Abstract

Supplemental Material, Reviewer for A Novel Type of Stem Cells Double-Positive for SSEA-3 and CD45 in Human Peripheral Blood by Tetsuya Sato, Shohei Wakao, Yoshihiro Kushida, Kazuki Tatsumi, Masaaki Kitada, Takatsugu Abe, Kuniyasu Niizuma, Teiji Tominaga, Shigeki Kushimoto and Mari Dezawa in Cell Transplantation

Published
2020
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24. Additional file 1 of Epidemiology of sepsis and septic shock in intensive care units between sepsis-2 and sepsis-3 populations: sepsis prognostication in intensive care unit and emergency room (SPICE-ICU)

Author

Abe, Toshikazu, Yamakawa, Kazuma, Ogura, Hiroshi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Otomo, Yasuhiro, Kotani, Joji, Umemura, Yutaka, Sakamoto, Yuichiro, Sasaki, Junichi, Shiino, Yasukazu, Naoshi Takeyama, Tarui, Takehiko, Shin-Ichiro Shiraishi, Tsuruta, Ryosuke, Taka-Aki Nakada, Hifumi, Toru, Hagiwara, Akiyoshi, Ueyama, Masashi, Yamashita, Norio, Masuno, Tomohiko, Ikeda, Hiroto, Komori, Akira, Iriyama, Hiroki, and Gando, Satoshi

Subjects
Data_FILES
Abstract

Additional file 1:. Supplemental file 1.

Published
2020
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25. Additional file 5 of Significance of body temperature in elderly patients with sepsis

Author

Shimazui, Takashi, Nakada, Taka-Aki, Walley, Keith R., Oshima, Taku, Abe, Toshikazu, Ogura, Hiroshi, Shiraishi, Atsushi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Shiino, Yasukazu, Tarui, Takehiko, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Abstract

Additional file 5: Figure S4. Meta-analysis to test for the homogeneity between each studies for association of body temperature > 38.3 °C and 90-day in-hospital mortality.

Published
2020
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26. Additional file 1 of Significance of body temperature in elderly patients with sepsis

Author

Shimazui, Takashi, Nakada, Taka-Aki, Walley, Keith R., Oshima, Taku, Abe, Toshikazu, Ogura, Hiroshi, Shiraishi, Atsushi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Shiino, Yasukazu, Tarui, Takehiko, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Subjects
social sciences
Abstract

Additional file 1: Table S1. Cut-off values of the vital signs. Table S2. Correlation analysis between APACHE II score and vital signs. Table S3. Baseline characteristics and clinical outcomes between the subgroups of 90-day in-hospital survivors and non-survivors in nonelderly and elderly patients of derivation cohort (FORECAST cohort). Table S4. Baseline characteristics and clinical outcomes in validation cohort 1 (JAAMSR cohort). Table S5. Baseline characteristics and clinical outcomes in validation cohort 2 (SPH cohort).

Published
2020
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27. Additional file 1: of Variations in infection sites and mortality rates among patients in intensive care units with severe sepsis and septic shock in Japan

Author

Abe, Toshikazu, Ogura, Hiroshi, Kushimoto, Shigeki, Shiraishi, Atsushi, Sugiyama, Takehiro, Deshpande, Gautam, Uchida, Masatoshi, Nagata, Isao, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Hifumi, Toru, Shiino, Yasukazu, Taka-Aki Nakada, Tarui, Takehiko, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Subjects
macromolecular substances
Abstract

Table S1. Characteristics and in-hospital mortality of patients with severe sepsis according to 11 sites of infection (nâ =â 1184). Features and in-hospital mortality of patients with severe sepsis according to 11 infection sites. (DOCX 27 kb)

Published
2019
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28. Additional file 2: of Variations in infection sites and mortality rates among patients in intensive care units with severe sepsis and septic shock in Japan

Author

Abe, Toshikazu, Ogura, Hiroshi, Kushimoto, Shigeki, Shiraishi, Atsushi, Sugiyama, Takehiro, Deshpande, Gautam, Uchida, Masatoshi, Nagata, Isao, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Hifumi, Toru, Shiino, Yasukazu, Taka-Aki Nakada, Tarui, Takehiko, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Abstract

Table S2. Characteristics of patients with sepsis according to seven major infection sites (nâ =â 1184). Additional features of patients with sepsis according to seven major sites of infection. (DOCX 29 kb)

Published
2019
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29. Additional file 3: of Variations in infection sites and mortality rates among patients in intensive care units with severe sepsis and septic shock in Japan

Author

Abe, Toshikazu, Ogura, Hiroshi, Kushimoto, Shigeki, Shiraishi, Atsushi, Sugiyama, Takehiro, Deshpande, Gautam, Uchida, Masatoshi, Nagata, Isao, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Hifumi, Toru, Shiino, Yasukazu, Taka-Aki Nakada, Tarui, Takehiko, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Subjects
macromolecular substances
Abstract

Table S3. Initial antibiotic treatment administered to patients with severe sepsis (nâ =â 1140). (DOCX 28 kb)

Published
2019
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30. Additional file 2: of Characteristics, management, and in-hospital mortality among patients with severe sepsis in intensive care units in Japan: the FORECAST study

Author

Abe, Toshikazu, Ogura, Hiroshi, Shiraishi, Atsushi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Shiino, Yasukazu, Taka-Aki Nakada, Tarui, Takehiko, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Abstract

FORECAST steering committee. The member list of FORECAST steering committee. (DOCX 15 kb)

Published
2018
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31. Additional file 1: of Characteristics, management, and in-hospital mortality among patients with severe sepsis in intensive care units in Japan: the FORECAST study

Author

Abe, Toshikazu, Ogura, Hiroshi, Shiraishi, Atsushi, Kushimoto, Shigeki, Daizoh Saitoh, Seitaro Fujishima, Mayumi, Toshihiko, Shiino, Yasukazu, Taka-Aki Nakada, Tarui, Takehiko, Hifumi, Toru, Otomo, Yasuhiro, Okamoto, Kohji, Umemura, Yutaka, Kotani, Joji, Sakamoto, Yuichiro, Sasaki, Junichi, Shin-Ichiro Shiraishi, Takuma, Kiyotsugu, Tsuruta, Ryosuke, Hagiwara, Akiyoshi, Yamakawa, Kazuma, Masuno, Tomohiko, Naoshi Takeyama, Yamashita, Norio, Ikeda, Hiroto, Ueyama, Masashi, Fujimi, Satoshi, and Gando, Satoshi

Subjects
macromolecular substances
Abstract

Table S1. Prospective multicenter cohort studies (noninterventional) among patients with severe sepsis since 2001. The results from a systematic review of prospective multicenter cohort studies (noninterventional) among patients with severe sepsis since 2001. (DOCX 19 kb)

Published
2018
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