- 著者
- Michikazu Nakai Yoshitaka Iwanaga Yoko Sumita Koshiro Kanaoka Rika Kawakami Masanobu Ishii Keiji Uchida Nobutaka Nagano Takeo Nakayama Kunihiro Nishimura Kazufumi Tsuchihashi Kazuo Kimura Yoshihiro Saito Kenichi Tsujita Hisao Ogawa Yoshihiro Miyamoto Satoshi Yasuda on the behalf of the JROAD Investigators
- 出版者
- The Japanese Circulation Society
- 雑誌
- Circulation Reports (ISSN:24340790)
- 巻号頁・発行日
- vol.3, no.3, pp.131-136, 2021-03-10 (Released:2021-03-10)
- 参考文献数
- 25
- 被引用文献数
- 12 37
Background:Big data systems such as diagnosis procedure combination (DPC) datasets have recently been used for research purposes. However, there have been few validation studies to determine the accuracy of diagnoses. The aim of this study was to validate and evaluate 2 diagnoses, namely acute myocardial infarction (AMI) and heart failure (HF), using International Classification of Diseases, 10th revision (ICD-10) codes in the Japanese Registry Of All cardiac and vascular Disease (JROAD)-DPC database.Methods and Results:ICD-10 codes I21.0–I21.9 and I50.0–I50.9 were used to identify AMI and HF, respectively, in the JROAD-DPC database. Diagnoses of AMI and HF were validated in clinical datasets assessing sensitivity and positive predictive value (PPV). Over 1–2 years, 742 patients hospitalized for AMI and 1,368 patients hospitalized for HF were identified in the DPC dataset. Sensitivity and PPV for AMI were 78.9% and 78.8%, respectively. When emergency hospitalization was included as a criterion, PPV increased to 84.9%. For HF, sensitivity and PPV were 84.7% and 57.0%, respectively. When emergency hospitalization and acute HF were included as criteria, PPV increased to 83.0%.Conclusions:Using ICD-10 codes for AMI and HF diagnoses among hospitalized patients, the DPC dataset showed acceptable concordance with clinical datasets. PPV increased when any conditions of hospitalization were included, especially in HF.