著者

Minami Suzuki Yuta Sekiguchi Masato Sasaki Shunsuke Inaba Sakino Oyama Yuichi Inoue Masahiro Warabi Kenichi Ohashi Seiji Inoshita

出版者

The Japanese Society of Internal Medicine

雑誌

Internal Medicine (ISSN:09182918)

巻号頁・発行日

vol.61, no.19, pp.2925-2929, 2022-10-01 (Released:2022-10-01)

参考文献数

32

被引用文献数

15

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The extent of rare side effects of mRNA vaccines for coronavirus disease 2019 (COVID-19) remains unclear. Several cases of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) following COVID-19 vaccination have been reported. We herein report a 72-year-old man who presented with a fever after receiving the second dose of the Pfizer-BioNTech COVID-19 vaccine. He was diagnosed with acute kidney injury due to myeloperoxidase-ANCA-associated vasculitis and was treated with intermittent hemodialysis, high-dose prednisolone, and intravenous rituximab. His general symptoms and renal impairment subsequently improved. When systemic symptoms are prolonged or renal abnormalities appear after COVID-19 vaccination, the possibility of AAV should be considered.

著者

Masataka Sato Satoshi Kodera Naoto Setoguchi Kengo Tanabe Shunichi Kushida Junji Kanda Mike Saji Mamoru Nanasato Hisataka Maki Hideo Fujita Nahoko Kato Hiroyuki Watanabe Minami Suzuki Masao Takahashi Naoko Sawada Masao Yamasaki Shinnosuke Sawano Susumu Katsushika Hiroki Shinohara Norifumi Takeda Katsuhito Fujiu Masao Daimon Hiroshi Akazawa Hiroyuki Morita Issei Komuro

出版者

The Japanese Circulation Society

雑誌

Circulation Journal (ISSN:13469843)

巻号頁・発行日

pp.CJ-23-0216, (Released:2023-11-14)

参考文献数

41

被引用文献数

2

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Background: Left heart abnormalities are risk factors for heart failure. However, echocardiography is not always available. Electrocardiograms (ECGs), which are now available from wearable devices, have the potential to detect these abnormalities. Nevertheless, whether a model can detect left heart abnormalities from single Lead I ECG data remains unclear.Methods and Results: We developed Lead I ECG models to detect low ejection fraction (EF), wall motion abnormality, left ventricular hypertrophy (LVH), left ventricular dilatation, and left atrial dilatation. We used a dataset comprising 229,439 paired sets of ECG and echocardiography data from 8 facilities, and validated the model using external verification with data from 2 facilities. The area under the receiver operating characteristic curves of our model was 0.913 for low EF, 0.832 for wall motion abnormality, 0.797 for LVH, 0.838 for left ventricular dilatation, and 0.802 for left atrial dilatation. In interpretation tests with 12 cardiologists, the accuracy of the model was 78.3% for low EF and 68.3% for LVH. Compared with cardiologists who read the 12-lead ECGs, the model’s performance was superior for LVH and similar for low EF.Conclusions: From a multicenter study dataset, we developed models to predict left heart abnormalities using Lead I on the ECG. The Lead I ECG models show superior or equivalent performance to cardiologists using 12-lead ECGs.