Reports Outline Acute Coronary Syndrome Study Findings from Nara Medical University (Validity of Diagnostic Algorithms for Cardiovascular Diseases In Japanese Health Insurance Claims): Heart Disorders and Diseases - Acute Coronary Syndrome - Insurance News | InsuranceNewsNet

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May 10, 2023 Newswires
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Reports Outline Acute Coronary Syndrome Study Findings from Nara Medical University (Validity of Diagnostic Algorithms for Cardiovascular Diseases In Japanese Health Insurance Claims): Heart Disorders and Diseases – Acute Coronary Syndrome

Insurance Daily News

2023 MAY 10 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Researchers detail new data in Heart Disorders and Diseases - Acute Coronary Syndrome. According to news reporting out of Kashihara, Japan, by NewsRx editors, research stated, “We aimed to validate a claims-based diagnostic algorithm to identify hospitalized patients with acute major cardio-vascular diseases (CVDs) from health insurance claims in Japan. This retrospective multicenter validation study was conducted at 4 institutes, including Japanese Circulation Society-certified and uncertified hospitals in Japan.”

Funders for this research include Ministry of Health, Labour and Welfare, Japan, Cardiovascular diseases of National Cerebral and Cardiovascular Center.

Our news journalists obtained a quote from the research from Nara Medical University, “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. The validity of the diagnostic algorithm for Japanese claims data was acceptable.”

According to the news editors, the research concluded: “Our results serve as a foundation for future studies on CVDs using nationwide administrative data.”

This research has been peer-reviewed.

For more information on this research see: Validity of Diagnostic Algorithms for Cardiovascular Diseases In Japanese Health Insurance Claims. Circulation Journal, 2023;87(4). Circulation Journal can be contacted at: Japanese Circulation Soc, 18TH Floor Imperial Hotel Tower, 1-1-1 Uchisaiwai-Cho Chiyoda-Ku, Toyko, 100-0011, Japan.

Our news journalists report that additional information may be obtained by contacting Tomoaki Imamura, Nara Medical University, Dept Publ Hlth Hlth Management & Policy, Kashihara, Japan. Additional authors for this research include Koshiro Kanaoka, Yoshitaka Iwanaga, Michikazu Nakai, Yoshihiro Miyamoto, Satoshi Terasaki, Daisuke Kamon, Tsunenari Soeda, Yoshihiko Saito, Yuichi Nishioka, Tomoya Myojin, Tatsuya Noda, Katsuki Okada, Yasushi Sakata and Manabu Horii.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1253/circj.CJ-22-0566. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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