著者

Masaomi Nangaku Takashi Kadowaki Hiroshi Yotsuyanagi Norio Ohmagari Moritoki Egi Junichi Sasaki Tetsuya Sakamoto Yoshinori Hasegawa Takashi Ogura Shigeru Chiba Koichi Node Ryo Suzuki Yasuhiro Yamaguchi Atsuko Murashima Norihiko Ikeda Eriko Morishita Kenji Yuzawa Hiroyuki Moriuchi Satoshi Hayakawa Daisuke Nishi Atsushi Irisawa Toshiaki Miyamoto Hidetaka Suzuki Hirohito Sone Yuuji Fujino

出版者

Japan Medical Association / The Japanese Associaiton of Medical Sciences

雑誌

JMA Journal (ISSN:2433328X)

巻号頁・発行日

vol.4, no.2, pp.148-162, 2021-04-15 (Released:2021-05-07)

参考文献数

69

被引用文献数

7

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In 2020, the COVID-19 pandemic has had unprecedented impacts on various aspects of the world. Each academic society has published a guide and/or guidelines on how to cope with COVID-19 separately. As the one and only nationwide association of academic societies that represent medical science in Japan, JMSF has decided to publish the expert opinion to help patients and care providers find specifically what they want.This expert opinion is a summary of recommendations by many academic societies and will be updated when necessary. Patients that each academic society targets differ even though they suffer from the same COVID-19, and recommendations can be different in a context-dependent manner. Readers are supposed to be flexible and adjustable when they use this expert opinion.

著者

Yuki Kataoka Tomohisa Baba Tatsuyoshi Ikenoue Yoshinori Matsuoka Junichi Matsumoto Junji Kumasawa Kentaro Tochitani Hiraku Funakoshi Tomohiro Hosoda Aiko Kugimiya Michinori Shirano Fumiko Hamabe Sachiyo Iwata Yoshiro Kitamura Tsubasa Goto Tomohiro Handa Shoji Kido Shingo Fukuma Noriyuki Tomiyama Toyohiro Hirai Takashi Ogura Japan COVID-19 AI team

出版者

Society for Clinical Epidemiology

雑誌

Annals of Clinical Epidemiology (ISSN:24344338)

巻号頁・発行日

pp.22014, (Released:2022-07-08)

被引用文献数

2

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Background: We aimed to develop and externally validate a novel machine learning model that can classify CT image findings as positive or negative for SARS-CoV-2 reverse transcription polymerase chain reaction (RT-PCR).Methods: We used 2,928 images from a wide variety of case-control type data sources for the development and internal validation of the machine learning model. A total of 633 COVID-19 cases and 2,295 non-COVID-19 cases were included in the study. We randomly divided cases into training and tuning sets at a ratio of 8:2. For external validation, we used 893 images from 740 consecutive patients at 11 acute care hospitals suspected of having COVID-19 at the time of diagnosis. The dataset included 343 COVID-19 patients. The reference standard was RT-PCR.Results: In external validation, the sensitivity and specificity of the model were 0.869 and 0.432, at the low-level cutoff, 0.724 and 0.721, at the high-level cutoff. Area under the receiver operating characteristic was 0.76.Conclusions: Our machine learning model exhibited a high sensitivity in external validation datasets and may assist physicians to rule out COVID-19 diagnosis in a timely manner at emergency departments. Further studies are warranted to improve model specificity.

著者

Shinji Abe Arata Azuma Hiroshi Mukae Takashi Ogura Hiroyuki Taniguchi Masashi Bando Yukihiko Sugiyama

出版者

一般社団法人 日本内科学会

雑誌

Internal Medicine (ISSN:09182918)

巻号頁・発行日

vol.51, no.12, pp.1487-1491, 2012 (Released:2012-06-15)

参考文献数

21

被引用文献数

23 88

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Objective The prognosis of idiopathic pulmonary fibrosis (IPF) patients with acute exacerbation (AE) is reported to be extremely poor. Several clinical studies suggest that direct hemoperfusion with polymyxin B-immobilized fiber (PMX) may have beneficial effects on AE in patients with interstitial pneumonia (IP). The aim of this multicenter retrospective analysis was to investigate whether PMX treatment could provide improvement of oxygenation and survival benefits in IPF patients with AE. Methods We conducted a retrospective study of 160 IP patients (including 73 IPF) with AE treated by PMX at 18 institutions in Japan. PMX treatment was carried out twice. The total hemoperfusion time of PMX treatment was, on average, 12 hours. Data concerning oxygenation on PMX treatment and survival after AE were collected and analyzed. Results In IPF patients with AE, arterial oxygen tension (PaO2)/inspiratory oxygen fraction (FiO2), (P/F) ratio was significantly improved at the end of the 2nd treatment with PMX (173.9±105.4 to 195.2±106.8 Torr, p=0.003). White blood cell count was significantly reduced at the end of the 2nd treatment (13,330±7,002 to 9,426±5,188 /mm3, p<0.001). These clinical changes were also observed on analysis of all 160 IP patients with AE. The one- and three-month survival rates of IPF patients after AE were 70.1% and 34.4%, respectively. Conclusion PMX treatment may improve oxygenation and survival in IPF patients with AE. Prospective, controlled trials of PMX treatment for IPF with AE are warranted to verify this potential benefit.

著者

Naoto Aiko Akimasa Sekine Shigeaki Umeda Takuma Katano Goshi Matama Kohsuke Isomoto Ryota Otoshi Takashi Ogura

出版者

The Japanese Society of Internal Medicine

雑誌

Internal Medicine (ISSN:09182918)

巻号頁・発行日

vol.57, no.21, pp.3163-3167, 2018-11-01 (Released:2018-11-01)

参考文献数

26

被引用文献数

8 10

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Lymphomatoid granulomatosis (LYG) is a rare lung disorder diagnosed by radiological imaging of multiple pulmonary nodules and occasionally induced by methotrexate (MTX) use. To date, the treatment of LYG has not been standardized. We herein report the case of a patient with grade 3 MTX-related LYG who presented a bulky lung mass. Importantly, the disease condition only improved after the discontinuation of MTX and remained stable for more than 1 year. Chest physicians should be aware that LYG can develop as a single lung mass and spontaneously regress, even without aggressive chemotherapy, following the cessation of MTX.

著者

Takafumi Yamaya Tomohisa Baba Eri Hagiwara Satoshi Ikeda Takashi Niwa Takaaki Kitayama Kota Murohashi Katsuyuki Higa Yozo Sato Takashi Ogura

出版者

The Japanese Society of Internal Medicine

雑誌

Internal Medicine (ISSN:09182918)

巻号頁・発行日

pp.5731-20, (Released:2020-10-07)

参考文献数

16

被引用文献数

17

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Coronavirus disease 2019 (COVID-19) has been recognized as a worldwide pandemic. However, the clinical course of COVID-19 remains poorly characterized. Although some cases of pneumothorax have been reported, they all had pulmonary complications or were managed with mechanical ventilation. We herein report a case of pneumothorax that developed even though the patient had no pulmonary underlying diseases and had never been managed with mechanical ventilation. In the present case, a lung bulla was found on chest computed tomography during treatment for COVID-19. We concluded that COVID-19 affected the formation of the lung bulla and induced the complication of pneumothorax.