Effect of Fast-Track Postoperative Recovery on Patients Outcome in Conventional Adult Cardiac Surgery

Document Type : Original Article

Authors

1 Department of Cardiothoracic surgery, Faculty of Medicine, Tanta University, Tanta, Egypt

2 Department of Anesthesia, Faculty of Medicine, Tanta University, Tanta, Egypt

Abstract

Background: Enhanced recovery after surgery [ERAS] is defined as multimodal perioperative measures designed to achieve safe and early recovery after major surgery. It involves multidisciplinary evidence-based measures.
Aim of the work: To assess the impact of applying a fast-track recovery protocol on patients’ outcomes in conventional adult cardiac surgery and compare it with conventional routine peri-operative management.
Patients and Methods: This is a single-center retrospective observational and comparative study including 300 cases scheduled for elective cardiac surgery at the Cardiothoracic Surgery Department, Tanta University from January 2019 to January 2023. Cases were divided into 2 groups: Group A [conventional management group; n=150] with routine perioperative management and Group B [early recovery group; n=150] who received the fast-track protocol.
Results: The study revealed highly significant differences between the 2 groups favoring the ERAS group, which proved superior to the conventional management group regarding total hospital stay [6.06 ± 0.48 days vs 7.99 ± 0.79 days; P < 0.001], intensive care unit stay [53.91 ± 3.55 hours vs 79.97 ± 7.85 hours; P < 0.001], time of mechanical ventilation [20.2 ± 1.49 hours vs 50.49 ± 3.58 hours; P < 0.001], intensive care unit readmission rate [4 cases vs 30 cases; P <0.001], reintubation rate [3 cases vs 23 cases; P < 0.0001], incidence of gastrointestinal complications [4 cases vs 16 cases; P = 0.005] and degree of patient satisfaction [P < 0.001].
Conclusion: Applying an ERAS protocol to cardiac surgery patients achieved better results regarding morbidity and mortality compared to conventional management.

Keywords

Main Subjects

Files

Share

How to cite

Statistics