Key result
Multidisciplinary preoperative optimization may improve postoperative outcomes for patients with severely depressed LVEF undergoing CABG.
Why the study?
Patients undergoing CABG who are not candidates for angioplasty often have advanced coronary disease and comorbidities increasing heart failure risk, prompting the need for an updated preoperative optimization algorithm.
Does a preoperative multidisciplinary clinical optimization algorithm improve outcomes in patients with severely depressed LVEF undergoing CABG?
Does a preoperative multidisciplinary clinical optimization algorithm improve outcomes in patients with severely depressed LVEF undergoing CABG?
Implementing a multidisciplinary preoperative optimization pathway for patients with HFrEF undergoing CABG may help standardize care and improve postoperative outcomes in this high-risk population.
May support care standardization in high-risk CABG; hypothesis-generating and requires prospective validation before practice change.
Coronary artery bypass grafting (CABG) remains a routine operation despite major advancements in angioplastic procedures. Around 200,000 CABG procedures are performed annually in the U.S. Patients who are not candidates for angioplasty intervention often have advanced coronary disease and comorbidities that raise the risk of heart failure with decreased ejection fraction to around 25%. Over the years, significant developments in various preoperative interventions have occurred; in this paper, we suggest a multidisciplinary preoperative algorithm that can be included in a regularly scheduled multidisciplinary care plan.
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Shehata et al. (2020) conducted a review in Severely depressed left ventricular ejection fraction undergoing coronary artery bypass grafting. Multidisciplinary preoperative optimization was evaluated. Multidisciplinary preoperative optimization algorithms may enhance postoperative outcomes in patients with severely depressed left ventricular ejection fraction undergoing coronary artery bypass grafting.
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