Key result
Increased postoperative glycemic variability was significantly associated with higher one-year mortality following coronary artery bypass grafting, with a fully adjusted hazard ratio of 4.599 per unit increase.
Why the study?
The impact of postoperative glycemic variability on long-term mortality following cardiac surgery, and how other interactive factors contribute, remained unknown.
Does high postoperative glycemic variability increase one-year mortality in patients following coronary artery bypass grafting?
Cohort (n=3,598)
Does high postoperative glycemic variability increase one-year mortality in patients following coronary artery bypass grafting?
Hazard Ratio: 4.599 (95% CI 1.662–12.726)
Increased postoperative glycemic variability in the first 72 hours after CABG is an independent predictor of one-year mortality, particularly in patients without diabetes mellitus or with preoperative HbA1c ≤ 7.0%.
Hypothesis-generating for glycemic variability as a mortality marker after CABG; prospective trials needed before clinical adoption.
Background Increased postoperative glycemic variability (GV) has been shown to be associated with an increased risk for adverse outcomes. However, the impact of postoperative GV on the long-term mortality after cardiac surgery, particularly with regarding other associated interactive factors, remains unknown. In this study, we sought to investigate whether postoperative GV is associated with one-year mortality, and to determine whether preoperative hemoglobin A1C (HbA1C) levels or diabetes status contribute to the risk of GV-related one-year mortality following coronary artery bypass grafting (CABG). Methods Data from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database derived from 3,598 patients, who underwent their CABG surgery and subsequently admitted to the ICU between 2008 and 2019, were retrospectively analysed. Patients were categorized into two groups based on the postoperative GV levels: the GV-Low group (GV < 0.219, n=2,399) and the GV-High group (GV ≥ 0.219, n=1,199). Cox proportional hazards models were used to examine the association between postoperative GV and one-year mortality. Kaplan-Meier curves assessed cumulative survival, while restricted cubic splines (RCS) evaluated potential non-linear relationships. Cox regression was carried out to determine the impact of postoperative GV changes on one-year mortality. Results The one-year mortality rate was 4.92% following CABG. Multivariate Cox proportional hazards analysis revealed a significant association between postoperative GV and one-year mortality, with harzard ratio of 10.372 (95% CI, 3.973–27.077) in the unadjusted model, 9.065 (95% CI, 3.387–24.263) in the partially adjusted model, and 4.599 (95% CI, 1.662–12.726) in the fully adjusted model. This association followed a linear pattern ( p -non-linearity = 0.962). In addition, the association was stronger in patients without diabetes millutes (DM) (odds ratio [OR], 2.781; 95% CI, 1.709–4.526) or in patients with preoperative HbA1c levels ≤ 7.0% (OR, 2.225; 95% CI, 1.537–3.221). Conclusion Increased postoperative GV is associated with higher one-year mortality following CABG, particularly in patients without DM. These findings may offer valuable guidance for targeted strategies to reduce mortality after cardiac surgery.
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Ma et al. (2025) conducted a cohort in Coronary artery bypass grafting (CABG) (n=3,598). Postoperative glycemic variability vs. Lower glycemic variability was evaluated on One-year mortality (HR 4.599, 95% CI 1.662-12.726). Increased postoperative glycemic variability was significantly associated with higher one-year mortality following coronary artery bypass grafting, with a fully adjusted hazard ratio of 4.599 per unit increase.
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