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Glycated Haemoglobin (HbA1C) in Cardiac Surgery: A Narrative Review
Suvitesh Luthra1,2, Laura Viola1, Manoraj Navaratnarajah1
1Wessex Cardiothoracic Centre, Division of Cardiac Surgery, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK.
Journal of Clinical Medicine
|January 11, 2025
Summary
High preoperative glycated haemoglobin (HbA1C) levels may indicate adverse outcomes after cardiac surgery. However, the scientific community acknowledges that other factors likely contribute to these postoperative complications.
Area of Science:
- Cardiology
- Endocrinology
- Anesthesiology
Background:
- Perioperative dysglycaemia in cardiac surgery is linked to adverse outcomes.
- Glycaemic variability, not just glucose levels, predicts ICU stay, creatinine rise, and acute kidney injury.
- Glycated haemoglobin (HbA1C) reflects average blood glucose and defines diabetic/pre-diabetic status, correlating with perioperative events.
Purpose of the Study:
- To review the impact of preoperative HbA1C levels on postoperative outcomes in cardiac surgery.
- To discuss the role of HbA1C in managing patients undergoing cardiac procedures.
- To synthesize current scientific understanding of HbA1C as a prognostic marker in this context.
Main Methods:
- A narrative review of studies identified through MEDLINE (PubMed) and the Cochrane Library.
- Focused search on the correlation between preoperative HbA1C levels and postoperative results.
- Analysis of existing data on HbA1C's predictive value in cardiac surgery patients.
Main Results:
- Conflicting scientific data exists regarding HbA1C's predictive power.
- Some studies indicate high HbA1C as an indicator of postoperative complications.
- Other research suggests mortality and morbidity are not solely attributable to HbA1C levels.
Conclusions:
- General agreement exists that high HbA1C levels are prognostic markers for adverse outcomes post-cardiac surgery.
- Evidence suggests multiple underlying factors contribute to these adverse outcomes.
- Further research may be needed to elucidate the complex interplay of factors.
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