Operative mortality and complication risk model for all major cardiovascular operations in Japan

Hiroaki Miyata1, Ai Tomotaki2, Noboru Motomura2

  • 1Department of Healthcare Quality Assessment, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Japan Cardiovascular Surgery Database Organization, Tokyo, Japan.

Insights

New cardiovascular surgery risk models were developed using the Japan Cardiovascular Surgery Database (JCVSD). These models improve prediction of operative mortality and postoperative complications for coronary artery bypass grafting (CABG), valve, and thoracic aortic operations.

Area of Science:

  • Cardiovascular Surgery
  • Health Services Research
  • Medical Informatics

Background:

  • The Japan Cardiovascular Surgery Database (JCVSD) is a national initiative for quality improvement in cardiovascular surgery.
  • Previous risk models require updates to reflect current surgical outcomes.

Purpose of the Study:

  • To develop novel risk prediction models for operative mortality and postoperative complications.
  • To create models for coronary artery bypass grafting (CABG), valve, and thoracic aortic operations.

Main Methods:

  • Analysis of 24,704 CABG, 26,137 valve, and 18,228 thoracic aortic operations.
  • Development of risk models using multiple logistic regression (80% development, 20% validation).
  • Model discrimination assessed using the C index (area under the receiver operating characteristic curve).

Main Results:

  • 30-day mortality rates: 1.5% (CABG), 2.5% (valve), 6.0% (thoracic aortic).
  • Operative mortality rates: 2.4% (CABG), 3.8% (valve), 8.4% (thoracic aortic).
  • C indices ranged from 0.6114 to 0.8655, indicating good discriminatory power for various endpoints.

Conclusions:

  • The developed risk models demonstrate enhanced discriminatory power compared to previous models.
  • These models accurately reflect the current status of cardiovascular surgery in Japan.
  • The Japan Cardiovascular Surgery Database (JCVSD) web system can provide valuable feedback on major complications.
Abstract

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