Increased glycemic variability in patients with elevated preoperative HbA1C predicts adverse outcomes following
Balachundhar Subramaniam1, Adam Lerner, Victor Novack
1From the Department of Anesthesiology, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Clinical Research Center, Soroka University Hospital and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; and Departments of Anesthesiology and Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts. Victor Novack, MD, PhD, is currently with Faculty of Health Science, Soroka University Medical Center, Ben-Gurion University, Beer-Sheva, Israel.
Insights
Postoperative glycemic variability increases major adverse events after cardiac surgery. Preoperative hemoglobin A1C (HbA1C) identifies patients at risk, guiding interventions to reduce variability and improve outcomes.
Area of Science:
- Cardiology
- Endocrinology
- Surgical Outcomes
Background:
- The impact of postoperative glycemic variability on major adverse events (MAEs) after cardiac surgery remains unclear, particularly for patients with elevated preoperative hemoglobin A1C (HbA1C >6.5%).
- This study investigates the association between postoperative glycemic variability and MAEs following coronary artery bypass grafting (CABG) surgery.
- It also examines whether preoperative HbA1C levels can predict patients at higher risk for postoperative glycemic variability.
Purpose of the Study:
- To determine if postoperative glycemic variability is linked to MAEs after CABG surgery.
- To assess if preoperative HbA1C can identify patients prone to increased postoperative glycemic variability.
- To inform targeted interventions for reducing glycemic variability and improving patient outcomes.
Main Methods:
- A prospective, single-center observational cohort study included 1461 patients undergoing CABG surgery between January 2008 and May 2011.
- Data on demographics, intraoperative details, and postoperative outcomes (including MAEs) were collected from the Society of Thoracic Surgery (STS) database.
- Postoperative glycemic variability was measured using the coefficient of variation (CV) of blood glucose levels, analyzed in quartiles via multivariate logistic regression.
Main Results:
- A total of 9.8% of patients experienced MAEs. Preoperative HbA1C (OR, 1.6; P=0.02), history of myocardial infarction (MI), and STS risk score were associated with MAEs.
- Postoperative glycemic variability (CV per quartile; OR, 1.3; P=0.03), mean glucose levels, history of MI, and STS risk score were also significantly associated with MAEs.
- Patients with preoperative HbA1C ≥6.5% exhibited significantly increased postoperative glycemic variability (CV: 0.20 ± 0.09 vs 0.16 ± 0.07; P < 0.001).
Conclusions:
- Postoperative glycemic variability is a significant predictor of MAEs in patients undergoing cardiac surgery.
- Preoperative HbA1C levels effectively identify patients at risk for developing significant postoperative glycemic variability.
- Measuring preoperative HbA1C can guide early, targeted interventions to mitigate glycemic variability and potentially reduce adverse surgical outcomes.
Background:
In the setting of protocolized glycemic control, the relationship between postoperative glycemic variability on major adverse events (MAEs) after cardiac surgery is unknown for patients with increased preoperative hemoglobin A1C (HbA1C >6.5%). In this study, we sought to establish (a) whether postoperative glycemic variability is associated with MAEs after CABG surgery and (b) whether preoperative HbA1C could identify patients at increased risk of postoperative glycemic variability.
Methods:
Patients undergoing coronary artery bypass grafting with or without valvular surgery from January 2008 to May 2011 were enrolled in this prospective, single-center, observational cohort study. Demographic, intraoperative, and postoperative outcome data were obtained from institutional data collected for the Society of Thoracic Surgery (STS) database. The primary outcome, MAE was a composite of in-hospital death, myocardial infarction (MI), reoperations, sternal infection, cardiac tamponade, pneumonia, stroke, or renal failure. Glycemic variability in the postoperative period was assessed by the coefficient of variation (CV). CV was used as quartiles for the multivariate logistic regression. Variable selection in multivariable modeling was based on clinical and statistical significance and was performed in a hierarchical fashion.
Results:
Of the 1461 patients enrolled, 9.8% had an MAE. Based on the established target of HbA1C <6.5% for the diagnosis of diabetes mellitus, we considered HbA1C as a binary variable (<6.5% and ≥6.5%) in our primary analysis. Multivariate logistic regression analyses for the preoperative variables only revealed that preoperative HbA1C (odds ratio [OR], 1.6; 95% confidence interval [CI], 1.1-2.3; P = 0.02), history of MI (OR, 1.9; 95% CI, 1.3-2.8; P = 0.001), and STS risk score per quartile (OR, 1.7; 95% CI, 1.4-2.1; P < 0.001) were associated with MAEs. When postoperative variables were included in the analyses, postoperative glycemic variability (CV per quartile) in the intensive care unit (OR, 1.3; 95% CI, 1.1-1.5; P = 0.03), mean glucose levels averaged over the first 4 postoperative hours (OR, 1.2; 95% CI, 1.0-1.4; P = 0.03), history of MI (OR, 1.8; 95% CI, 1.2-2.6; P = 0.004), and STS risk score per quartile (OR, 1.6; 95% CI, 1.3-2.0; P < 0.001) were associated with MAEs. Glycemic variability as assessed by CV was increased postoperatively in patients with preoperative HbA1C ≥6.5% (0.20 ± 0.09 vs 0.16 ± 0.07, P < 0.001).
Conclusions:
Postoperative glycemic variability is associated with MAEs after cardiac surgery. Glycemic variability is only measured when the patient leaves the intensive care unit, and there is no opportunity to intervene earlier. Preoperative HbA1C identifies risk for postoperative glycemic variability and may provide a more rational guide for targeting measures to reduce variability.
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