著者
Koshiro Kanaoka Yoshitaka Iwanaga Katsuki Okada Satoshi Terasaki Yuichi Nishioka Michikazu Nakai Daisuke Kamon Tomoya Myojin Tsunenari Soeda Tatsuya Noda Manabu Horii Yasushi Sakata Yoshihiro Miyamoto Yoshihiko Saito Tomoaki Imamura
出版者
The Japanese Circulation Society
雑誌
Circulation Journal (ISSN:13469843)
巻号頁・発行日
pp.CJ-22-0566, (Released:2023-01-28)
参考文献数
22
被引用文献数
6

Background: We aimed to validate a claims-based diagnostic algorithm to identify hospitalized patients with acute major cardiovascular diseases (CVDs) from health insurance claims in Japan.Methods and Results: This retrospective multicenter validation study was conducted at 4 institutes, including Japanese Circulation Society-certified and uncertified hospitals in Japan. Data on patients with CVDs in departmental lists or with International Classification of Diseases, 10th Revision (ICD-10) codes for CVDs hospitalized between April 2018 and March 2019 were extracted. We examined the sensitivity and positive predictive value of a diagnostic algorithm using ICD-10 codes, medical examinations, and treatments for acute coronary syndrome (ACS), acute heart failure (HF), and acute aortic disease (AAD). We identified 409 patients with ACS (mean age 70.6 years; 24.7% female), 615 patients with acute HF (mean age 77.3 years; 46.2% female), and 122 patients with AAD (mean age 73.4 years; 36.1% female). The respective sensitivity and positive predictive value for the algorithm were 0.86 (95% confidence interval [CI] 0.82–0.89) and 0.95 (95% CI 0.92–0.97) for ACS; 0.74 (95% CI 0.70–0.77) and 0.79 (95% CI 0.76–0.83) for acute HF; and 0.86 (95% CI 0.79–0.92) and 0.83 (95% CI 0.76–0.89) for AAD.Conclusions: The validity of the diagnostic algorithm for Japanese claims data was acceptable. Our results serve as a foundation for future studies on CVDs using nationwide administrative data.

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【成果発表】 情報利用促進部上級研究員らは、レセプト情報から心不全・急性冠症候群・急性大動脈疾患の入院をこれまでより正確に抽出するアルゴリズムを構築し、その妥当性を検討した結果がCirculation Journalに1月28日に掲載されました。 https://t.co/05x5FvFbJ6 #国循 #NCVC #NDB

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