Skip to content
DraconiticResearch
Search Sources API
194,216 studies31 sourcesUpdated 58 min ago
Peer-reviewedCC BY-NC-NDCirculation Journal

Development and Validation of Risk Models for Outcomes of Isolated Coronary Artery Bypass Grafting ― A Nationwide Analysis in Japan ―

Abstract

BACKGROUND: Reliable preoperative risk assessment is essential in cardiac surgery. In Japan, coronary artery bypass grafting (CABG) risk models have been developed from the Japan Cardiovascular Surgery Database - Adult section (JCVSD-A), with JapanSCORE I and II released previously. To reflect contemporary practice, we developed and validated JapanSCORE III, an updated risk model for isolated CABG, using JCVSD-A. METHODS AND RESULTS: We identified patients undergoing isolated CABG between 2018 and 2023 in the JCVSD-A. The dataset was temporally split into development (2018-2022) and validation (2023) cohorts. A least absolute shrinkage and selection operator model was developed to predict operative mortality, incorporating imaging-based predictors and clinically relevant factors. Secondary outcome models were constructed for stroke, reoperation, prolonged ventilation, renal failure, deep sternal wound infection (DSWI), gastrointestinal complications, and intensive care unit stay >7 days. Model performance was assessed by areas under the curve (AUC) and calibration plots. Among 70,180 patients (mean age 69.3 years; 20% women), operative mortality was 2.7%. The incidence of stroke, reoperation, prolonged ventilation, renal failure, DSWI, gastrointestinal complications, and prolonged ICU stay was 1.8%, 1.5%, 3.7%, 2.0%, 1.1%, 1.3%, and 13.2%, respectively. Operative mortality and renal failure models demonstrated good discrimination (AUC >0.8) and calibration in validation. CONCLUSIONS: Operative outcomes remained stable despite increasing predicted risk. The JapanSCORE III models showed good predictive performance, providing valid tools for preoperative risk stratification.

Related

  1. Risk factors for post-PCI restenosis in patients with coronary heart disease and the development and validation of a nomogram prediction model
    Xin Jin, Zhengliang Dong, Dongsheng Chai
    MedicinePeer-reviewedCC BY-NCFull textGeneral medicineEurope PMC
  2. A Parsimonious Machine Learning Model for Predicting Invasive Coronary Angiography Referral After Coronary Computed Tomography Angiography: Development and Multicentre External Validation
    Alec Chunta, Caitlyn Gilbert, Dina Labib +10
    Journal of clinical medicinePeer-reviewedCC BYFull textMedical imaging & radiologyEurope PMCCrossref
  3. A machine learning model for predicting ischemic and bleeding risk after percutaneous coronary intervention: Development and external validation
    Hassa Iftikhar
    PLOS OnePeer-reviewedCC BY 4.0Full textStatisticsCardiovascular medicinePLOS
  4. Development and Validation of a Prediction Model for Acute Coronary Occlusion in Patients With Non-ST-Segment Elevation Myocardial Infarction.
    Qicheng Yu, Shuai Wang, Yuanyuan Zhao +6
    Clinical cardiologyPeer-reviewedCC BYFull textCardiovascular medicineEurope PMC
  5. Development and validation of machine learning models for preoperative prediction of perioperative outcomes in patients with thymic epithelial tumors
    Yehong Li, Jianhao Qiu, Yue Zhao +3
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textNeurologyCrossref
BibTeX
@article{hayashi2026development,
  title = {{Development and Validation of Risk Models for Outcomes of Isolated Coronary Artery Bypass Grafting ― A Nationwide Analysis in Japan ―}},
  author = {Sachiko Hayashi and Hiraku Kumamaru and Shiori Nishimura and Aya Saito and Hideyuki Shimizu and Noboru Motomura},
  journal = {Circulation Journal},
  year = {2026},
  month = sep,
  doi = {10.1253/circj.cj-26-0160},
  url = {https://www.jstage.jst.go.jp/article/circj/advpub/0/advpub_CJ-26-0160/_article},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Development and Validation of Risk Models for Outcomes of Isolated Coronary Artery Bypass Grafting ― A Nationwide Analysis in Japan ―
AU  - Sachiko Hayashi
AU  - Hiraku Kumamaru
AU  - Shiori Nishimura
AU  - Aya Saito
AU  - Hideyuki Shimizu
AU  - Noboru Motomura
PY  - 2026
DA  - 2026/09/02
JO  - Circulation Journal
DO  - 10.1253/circj.cj-26-0160
UR  - https://www.jstage.jst.go.jp/article/circj/advpub/0/advpub_CJ-26-0160/_article
AB  - BACKGROUND: Reliable preoperative risk assessment is essential in cardiac surgery. In Japan, coronary artery bypass grafting (CABG) risk models have been developed from the Japan Cardiovascular Surgery Database - Adult section (JCVSD-A), with JapanSCORE I and II released previously. To reflect contemporary practice, we developed and validated JapanSCORE III, an updated risk model for isolated CABG, using JCVSD-A. METHODS AND RESULTS: We identified patients undergoing isolated CABG between 2018 and 2023 in the JCVSD-A. The dataset was temporally split into development (2018-2022) and validation (2023) cohorts. A least absolute shrinkage and selection operator model was developed to predict operative mortality, incorporating imaging-based predictors and clinically relevant factors. Secondary outcome models were constructed for stroke, reoperation, prolonged ventilation, renal failure, deep sternal wound infection (DSWI), gastrointestinal complications, and intensive care unit stay >7 days. Model performance was assessed by areas under the curve (AUC) and calibration plots. Among 70,180 patients (mean age 69.3 years; 20% women), operative mortality was 2.7%. The incidence of stroke, reoperation, prolonged ventilation, renal failure, DSWI, gastrointestinal complications, and prolonged ICU stay was 1.8%, 1.5%, 3.7%, 2.0%, 1.1%, 1.3%, and 13.2%, respectively. Operative mortality and renal failure models demonstrated good discrimination (AUC >0.8) and calibration in validation. CONCLUSIONS: Operative outcomes remained stable despite increasing predicted risk. The JapanSCORE III models showed good predictive performance, providing valid tools for preoperative risk stratification.
SN  - 1347-4820
SN  - 1346-9843
ER  -