誌上発表 | 学会発表・論文など | JIPAD | 日本ICU患者データベース | 日本集中治療医学会の診療レジストリ

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誌上発表

Fujinaga J, Otake T, Umeda T, Fukuoka T. Case volume and specialization in critically ill emergency patients: a nationwide cohort study in Japanese ICUs. J Intensive Care. 2024;12(1):20.
Endo H, Okamoto H, Hashimoto S, Miyata H. Association Between In-hospital Mortality and the Institutional Factors of Intensive Care Units with a Focus on the Intensivist- to-bed Ratio: A Retrospective Cohort Study. J Intensive Care Med. 2024:8850666241245645.
Salluh JIF, Quintairos A, Dongelmans DA, Aryal D, Bagshaw S, Beane A, et al. National ICU Registries as Enablers of Clinical Research and Quality Improvement. Critical care medicine. 2024; 52(1):125-135.
Asaba H, Aoki Y, Akinaga C, Naruse S, Uchizaki S, Nakajima M, et al. Obstetric admission to intensive care units in Japan: a cohort study using the Japanese Intensive care PAtient Database. J Anesth. 2023;37(4):539-45.
Shimada H, Matsuoka Y, Miyakoshi C, Ito J, Seo R, Ariyoshi K, et al. Predictive performance of the sequential organ failure assessment score for in-hospital mortality in patients with end-stage kidney disease in intensive care units: A multicenter registry in Japan. Ther Apher Dial. 2023.
Aoki Y, Nakajima M, Sugimura S, Suzuki Y, Makino H, Obata Y, et al. Postoperative norepinephrine versus dopamine in patients undergoing noncardiac surgery: a propensity-matched analysis using a nationwide intensive care database. Korean J Anesthesiol. 2023;76(5):481-9.
Endo H, Uchino S, Hashimoto S, Ichihara N, Miyata H. Recalibration of prediction model was needed for monitoring health care quality in subgroups: a retrospective cohort study. J Clin Epidemiol. 2023;154:56-64.
Hayakawa K, Uchino S, Endo H, Hasegawa K, Kiyota K. Impact of missing values on the ability of the acute physiology and chronic health evaluation III and Japan risk of death models to predict mortality. J Crit Care. 2023;79:154432.
Nosaka N, Anzai T, Uchimido R, Mishima Y, Takahashi K, Wakabayashi K. An anthropometric evidence against the use of age-based estimation of bodyweight in pediatric patients admitted to intensive care units. Scientific Reports. 2023;13:3574.
McLarty J, Litton E, Beane A, Aryal D, Bailey M, Bendel S, et al. Non-COVID-19 intensive care admissions during the pandemic: a multinational registry-based study. Thorax. 2023.
Dongelmans DA, Quintairos A, Buanes EA, Aryal D, Bagshaw S, Bendel S, et al. Worldwide clinical intensive care registries response to the pandemic: An international survey. J Crit Care. 2022;71:154111.
Ishii E, Nawa N, Hashimoto S, Shigemitsu H, Fujiwara T. Development, Validation, and Feature Extraction of a Deep Learning Model Predicting In-Hospital Mortality Using Japan's Largest National ICU Database: A Validation Framework for Transparent Clinical Artificial Intelligence Development. Anaesth Crit Care Pain Med. 2022:101167.
Tanaka A, Uchiyama A, Kitamura T, Sakaguchi R, Komukai S, Matsuyama T, et al. Association between early tracheostomy and patient outcomes in critically ill patients on mechanical ventilation: a multicenter cohort study. J Intensive Care. 2022;10(1):19.
Suzuki R, Uchino S, Sasabuchi Y, et al. Dopamine use and its consequences in the intensive care unit: a cohort study utilizing the Japanese Intensive care PAtient Database. Crit Care 2022;26:90.
橋場 英二, 竹川 大貴, 遠藤 英樹, 他. 日本の集中治療室における長期滞在患者の現状調査: Japanese Intensive Care Patient Databaseを用いた後方視的研究. 日本集中治療医学会雑誌. 2022: 29: 107-16.
Ohbe H, Endo H, Kumasawa J. Characteristics of COVID 19 in multicenter ICUs in Japan. J Anesth 2022; 36: 572-573.
Fujinaga J, Suzuki E, Irie H, et al: Body Mass Index and Ventilator Dependence in Critically Ill Subjects in Japan: A Cohort Study Using a Nationwide Database. Respir Care. 2021; 66: 1433–1439.
Endo H, Uchino S, Hashimoto S, et al: Development and validation of the predictive risk of death model for adult patients admitted to intensive care units in Japan: an approach to improve the accuracy of healthcare quality measures. J Intensive Care. 2021; 9:18
Endo H, Ohbe H, Kumasawa J, et al: Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care. J Intensive Care. 2021; 9; 42
Irie H, Okamoto H, Uchino S, et al. The Japanese Intensive care PAtient Database (JIPAD): A national intensive care unit registry in Japan. J Crit Care. 2020; 55: 86-94.
日本集中治療医学会ICU 機能評価委員会JIPAD ワーキンググループ(2018 年度). JIPAD(Japanese Intensive Care Patient Database)の構築. ICUとCCU. 2019; 43(4):185-190

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