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Risk stratification using the Society of Thoracic Surgeons Program

B G Hattler1, C Madia, C Johnson

  • 1Division of Cardiothoracic Surgery, University of Pittsburgh Medical Center, Pennsylvania 15213-2582.

The Annals of Thoracic Surgery
|November 1, 1994
PubMed
Summary

Aggressive surgery for high-risk coronary artery disease patients shows increased morbidity and resource use. Preoperative risk assessment accurately predicts outcomes, highlighting the need for careful consideration of surgical intervention in these complex cases.

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Area of Science:

  • Cardiovascular Surgery
  • Health Services Research

Background:

  • Surgical therapy for coronary artery disease faces scrutiny due to costs and patient risk.
  • High-risk patients present unique challenges in terms of outcomes and resource utilization.

Purpose of the Study:

  • To analyze hospital outcomes and length of stay for coronary artery disease patients based on preoperative risk stratification.
  • To quantify the risks, morbidities, and resource consumption associated with high-risk surgical candidates.

Main Methods:

  • Utilized The Society of Thoracic Surgeons national database for 728 coronary artery disease patients over 24 months.
  • Categorized patients into predicted mortality groups (0-5%, 5-10%, 10-20%, 20-30%, >30%).
  • Analyzed hospital outcomes, length of stay, and complication rates (renal failure, ventilator dependence, cardiac arrest).

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Main Results:

  • A strong correlation was observed between predicted mortality and actual mortality rates.
  • Highest-risk groups (predicted risk ≥20%) experienced significant morbidity, including high rates of renal failure (28%), ventilator dependence (33%), and cardiac arrest (17%).
  • Patients with predicted mortality >20% had a short-term mortality of 24.3% and longer hospital stays.

Conclusions:

  • Preoperative risk stratification effectively predicts mortality and morbidity in coronary artery disease patients.
  • High-risk surgical candidates consume substantial resources and experience significant complications.
  • Data support a need for informed discussions on managing high-risk patients and resource allocation in cardiovascular surgery.