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Preoperative, Multidisciplinary Clinical Optimization of Patients with Severely Depressed Left Ventricular Ejection

Islam Mohammad Shehata1, Tiffany D Odell2, Amir Elhassan3

  • 1Department of Anesthesiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

Cardiology and Therapy
|December 28, 2020
PubMed

Insights

Coronary artery bypass grafting (CABG) is a common surgery for advanced heart disease. This paper proposes a new multidisciplinary preoperative algorithm to improve patient care before CABG operations.

Area of Science:

  • Cardiology
  • Cardiac Surgery
  • Preoperative Medicine

Background:

  • Coronary artery bypass grafting (CABG) is a frequent surgical procedure in the U.S., with approximately 200,000 operations performed annually.
  • Patients unsuitable for angioplasty often present with severe coronary artery disease and comorbidities, increasing their risk of heart failure and reduced ejection fraction (around 25%).

Purpose of the Study:

  • To introduce a novel multidisciplinary preoperative algorithm designed to optimize patient management.
  • To integrate this algorithm into routine multidisciplinary care plans for patients undergoing CABG.

Main Methods:

  • The study proposes a structured, multidisciplinary approach to preoperative assessment and planning.
  • This algorithm aims to consolidate best practices and streamline the preoperative pathway for CABG patients.

Main Results:

  • The proposed algorithm offers a systematic framework for evaluating and preparing patients for CABG.
  • Integration into multidisciplinary care plans is expected to enhance patient outcomes and reduce perioperative risks.

Conclusions:

  • A multidisciplinary preoperative algorithm can standardize and improve the care of patients undergoing CABG.
  • This approach addresses the complexities of advanced coronary disease and comorbidities in the CABG population.

Keywords:
CardiomyopathyCoronary artery bypassLow ejection fractionPreoperative optimization

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