Literature DB >> 33642422

Clinical Outcomes After Percutaneous Coronary Intervention in Patients With Cancer.

Kenji Kanenawa1, Kyohei Yamaji1, Takashi Morinaga1, Takashi Hiromasa1, Masaomi Hayashi1, Seiichi Hiramori1, Yusuke Tomoi1, Shoichi Kuramitsu1, Takenori Domei1, Makoto Hyodo1, Yoshimitsu Soga1, Shinichi Shirai1, Kenji Ando1.   

Abstract

BACKGROUND: The aim of this study is to evaluate clinical outcomes after percutaneous coronary intervention (PCI) in patients with cancer.Methods and 
Results: Cancer screening was recommended before PCI in consecutive 1,303 patients who underwent their first PCI. By using cancer screening, cancer was diagnosed in 29 patients (2.2%). In total, 185 patients had present or a history of cancer. Patients with cancer more often suffered from non-cardiac death than those without (4.4% vs. 1.5%, P=0.006), and patients with cancer requiring ongoing therapy (n=18) more often suffered from major bleeding compared with those with recently (≤12 months) diagnosed cancer who do not have ongoing therapy (n=59) (16.7% vs. 3.4%, P=0.049). During the 1-year follow up, 25 patients (2.0%) were diagnosed as having cancer, in which 48.0% of bleeding events led to a cancer diagnosis. Patients with high bleeding risk according to the Academic Research Consortium for high bleeding risk (ARC-HBR) were associated with a greater 1-year major bleeding risk than those without high bleeding risk in patients with (7.9% vs. 0.0%, P=0.02) and without cancer (7.1% vs. 2.5%, P<0.001), respectively.
CONCLUSIONS: Cancer was diagnosed in 2.2% of 1,303 unselected patients before PCI by cancer screening and in 2.0% within 1-year after PCI. Cancer was associated with a greater risk of non-cardiac death, whereas ongoing active cancer was associated with greater risk of major bleeding. ARC-HBR criteria successfully identified high-bleeding risk patients, irrespective of the presence or absence of cancer.

Entities:  

Keywords:  Bleeding; Cardiovascular disease; Malignancy; Percutaneous coronary intervention; Risk score

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Year:  2021        PMID: 33642422     DOI: 10.1253/circj.CJ-20-1119

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  1 in total

1.  Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations.

Authors:  Siddharth Chauhan; Dominique J Monlezun; Jin Wan Kim; Harsh Goel; Alex Hanna; Kenneth Hoang; Nicolas Palaskas; Juan Lopez-Mattei; Saamir Hassan; Peter Kim; Mehmet Cilingiroglu; Konstantinos Marmagkiolis; Cezar A Iliescu
Journal:  Medicina (Kaunas)       Date:  2022-06-28       Impact factor: 2.948

  1 in total

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