A Predictive Model for Cancer-Associated Thrombosis in Japanese Cancer Patients: Findings from the J-Khorana Registry

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  • Masaaki Shoji
    Department of General Internal Medicine, National Cancer Center Hospital, Tokyo, Japan
  • Yugo Yamashita
    Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
  • Masanobu Ishii
    Department of Cardiovascular Medicine, Kumamoto University School of Medicine, Kumamoto, Japan
  • Hitoki Inoue
    Department of Cardiology, National Hospital Organization (NHO) Hokkaido Cancer Center, Hokkaido, Japan
  • Hiroshi Kato
    Division of Onco-Cardiology, Miyagi Cancer Center, Miyagi, Japan
  • Shin Fujita
    Department of Surgery, Tochigi Cancer Center, Tochigi, Japan
  • Kazuhiro Matsui
    Department of Internal Medicine, Onco-Cardiology Unit, Saitama Cancer Center, Saitama, Japan
  • Kazuko Tajiri
    Department of Cardiology, National Cancer Center Hospital East, Chiba, Japan
  • Mizuo Nameki
    Division of Cardiology, Chiba Cancer Center, Chiba, Japan
  • Nao Muraoka
    Division of Cardiology, Shizuoka Cancer Center, Shizuoka, Japan.
  • Akiko Nonaka
    Division of Onco-Cardiology, Hyogo Cancer Center, Hyogo, Japan
  • Hiroshi Sugino
    Division of Cardiology, NHO Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
  • Mihoko Kono
    Department of Onco-Cardiology, NHO Kyushu Cancer Center, Fukuoka, Japan
  • Toru Oka
    Department of Internal Medicine, Onco-Cardiology Unit, Saitama Cancer Center, Saitama, Japan
  • Daisuke Sueta
    Department of Cardiovascular Medicine, Kumamoto University School of Medicine, Kumamoto, Japan
  • Issei Komuro
    Department of Frontier Cardiovascular Science, International University of Health and Welfare, Tokyo, Japan
  • Kenichi Tsujita
    Department of Cardiovascular Medicine, Kumamoto University School of Medicine, Kumamoto, Japan

書誌事項

公開日
2023-11-09
資源種別
journal article
権利情報
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.1055/a-2207-7715
公開者
Georg Thieme Verlag KG

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説明

<jats:title>Abstract</jats:title><jats:p> Background Although the close relationship between cancer and venous thromboembolism (VTE) has been identified, risk stratification for VTE in Japanese patients with cancer remains unclear.</jats:p><jats:p> Objectives This study aimed to validate the Khorana VTE risk assessment score (KRS) for VTE diagnosis and establish an optimal predictive model for VTE in Japanese patients with cancer.</jats:p><jats:p> Methods A total of 7,955 Japanese patients with cancer were subdivided into low- (0), intermediate- (1–2), and high-score (3) groups according to the KRS. Using 37 explanatory variables, a total of 2,833 patients with cancer were divided into derivation and validation cohorts (5:5). A risk model for Japanese participants was developed using the derivation cohort data.</jats:p><jats:p> Results The prevalence of VTE in low-, intermediate-, and high-score patients was 1.2, 2.5, and 4.3%, respectively. Logistic regression analysis demonstrated that cancer stage (III–IV) and KRS ≥ 2 were independent and significant predictors of VTE onset. The risk model for VTE assigned 1 point to body mass index ≥25 kg/m2 and 2 points each to the prevalence of osteochondral cancer and D-dimer level ≥1.47 µg/mL. The areas under the curve of the risk model were 0.763 and 0.656 in the derivation and validation cohorts, respectively.</jats:p><jats:p> Conclusion The KRS was useful in Japanese patients, and our new predictive model may be helpful for the diagnosis of VTE in Japanese patients with cancer.</jats:p>

収録刊行物

  • TH Open

    TH Open 08 (01), e9-e18, 2023-11-09

    Georg Thieme Verlag KG

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