Exploring Postoperative Outcomes In Coronary Artery Bypass Grafting (CABG) Patients And Role Of AI Based Strategies: A Scoping Review

Abstract

Background

This comprehensive review consolidates existing research about postoperative outcomes after coronary artery bypass grafting (CABG), a prevalent yet high-risk cardiac procedure. Notwithstanding improvements in surgical methods and perioperative management, CABG patients often encounter multisystem problems, including cardiac arrhythmias, pulmonary dysfunction, renal impairment, neurological impairments, and infections. These problems correlate with extended hospitalizations, elevated readmission rates, and increased healthcare expenditures.

Materials and Methods

A thorough literature search was performed in the Cochrane Library, MEDLINE, EMBASE, and CINAHL databases in accordance with PRISMA-ScR criteria and the Arksey and O’Malley methodological approach. Studies comprising adult CABG patients with follow-up durations of up to six months were incorporated. Data extraction concentrated on complication profiles, detection timeframes, hospital stay duration, and recovery metrics.

Results

Narrative synthesis indicated a significant correlation between the early identification of problems and decreased hospital durations. The review highlighted significant deficiencies in the current literature, including inconsistencies in monitoring techniques, insufficient focus on long-term outcomes, and inadequate representation of older and female patients.

Conclusion

Recent evidence indicates that artificial intelligence-based monitoring systems could improve early intervention and recovery. This analysis highlights the necessity for standardized postoperative care protocols and additional research into long-term recovery, quality of life, and cost-effective surveillance measures to enhance CABG results.