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Development of diagnosis score with using data about symptoms, diagnosis and prognosis

Research Project

Project/Area Number 18K16537
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 55060:Emergency medicine-related
Research InstitutionOsaka University

Principal Investigator

Yusuke Katayama  大阪大学, 医学系研究科, 特任助教(常勤) (50747144)

Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2019: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywordsビッグデータ / 急性疾患 / 診断 / スコア / 救急医学 / 疫学 / 救急電話相談 / Telephone triage / 予後 / 緊急度判定 / スコアリングシステム / 診断アルゴリズム
Outline of Final Research Achievements

We presented the relationship between the results of telephone triage and prognosis in emergency department, and then these results were published in the third year of this study. In this study, 69.8% of patients who were triaged by telephone consultation and were transported to the emergency room returned home from the emergency room. In children, 80.5% of patients returned home from the emergency department, the most common diagnosis being febrile convulsions (R56.0). In contrast, only 54.7% of elderly patients returned home from the emergency department and 43.8% were hospitalized. Cerebral infarction (I63.0-I63.9) was the most common diagnosis in emergency department among the elderly. The predictive power of the regression models was not sufficient (c-statistics; 0.673), but this may be due to the small number of cases and the single-year study. We are currently working on increasing the number of cases in these datasets, reanalyzing them, and using the datasets for deep learning.

Academic Significance and Societal Importance of the Research Achievements

諸外国においても、このようなデータセットを解析して構築した診断アルゴリズムの研究はほとんどなく、本研究の学術的意義は高い。また、本研究で構築したデータセットを用いた「本邦で導入されている救急電話相談サービスが救急搬送された患者の予後や救急医療体制に与える影響」についての研究も、消防防災科学技術研究推進制度に採択され、救急電話相談事業の事業効果を統計学的に明らかにするという社会的にも貢献できる研究にもつながっている。

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (2 results)

All 2020 2019

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (1 results)

  • [Journal Article] Characteristics and outcome of patients triaged by telephone and transported by ambulance: a population‐based study in Osaka, Japan2020

    • Author(s)
      Katayama Yusuke、Kitamura Tetsuhisa、Hirose Tomoya、Kiyohara Kosuke、Ishida Kenichiro、Tachino Jotaro、Nakao Shunichiro、Kiguchi Takeyuki、Umemura Yutaka、Noda Tomohiro、Tai Shusuke、Tsujino Junya、Masui Jun、Mizobata Yasumitsu、Shimazu Takeshi
    • Journal Title

      Acute Medicine & Surgery

      Volume: 7 Issue: 1

    • DOI

      10.1002/ams2.609

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] 救急電話相談における緊急度判定結果と救急搬送後の外来転帰の関係性2019

    • Author(s)
      片山祐介、北村哲久、廣瀬智也、林田純人、嶋津岳士
    • Organizer
      第47回日本救急医学会総会・学術集会
    • Related Report
      2019 Research-status Report

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Published: 2018-04-23   Modified: 2022-01-27  

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