Diastolic dysfunction, diagnostic and perioperative management in cardiac surgery

Alina Nicoara1, Madhav Swaminathan

  • 1Division of Cardiothoracic Anesthesiology and Critical Care Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, North Carolina, USA.

Insights

Diastolic dysfunction poses a significant perioperative risk, potentially leading to acute decompensation. Early detection and understanding of diastolic function are crucial for effective patient management and improved outcomes.

Area of Science:

  • Cardiology
  • Anesthesiology
  • Perioperative Medicine

Background:

  • Left ventricular diastolic dysfunction is often underestimated.
  • It is linked to adverse outcomes in patients undergoing various surgical procedures.
  • Diastolic dysfunction increases the risk of perioperative acute decompensation.

Purpose of the Study:

  • To review recent findings on the role of diastolic dysfunction in the perioperative period.
  • To discuss recent advances in the diagnosis and management of diastolic function.
  • To highlight the importance of physician awareness and knowledge regarding diastolic dysfunction.

Main Methods:

  • This review synthesizes current literature on diastolic dysfunction.
  • It focuses on diagnostic advancements and perioperative management strategies.
  • The review examines the implications of diastolic dysfunction grading systems.

Main Results:

  • Recent diagnostic advancements have limited intraoperative applicability.
  • Perioperative management strategies are primarily preventive and symptomatic due to a lack of disease-specific therapies.
  • Diastolic dysfunction is associated with poorer outcomes in both cardiac and noncardiac surgery patients.

Conclusions:

  • Perioperative physicians must be aware of diastolic dysfunction and its implications.
  • Knowledge of diastolic dysfunction grading systems is essential for appropriate patient care.
  • Understanding the pathophysiologic changes associated with diastolic dysfunction is critical for optimizing perioperative management.
Abstract

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