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Assessment of perioperative risk in the patient with diabetes mellitus
1Department of Medicine, Cornell University Medical College, New York.
Insights
Preoperative clinical factors, not diabetes severity or glucose control, predict surgical complications in diabetic patients. Identifying these characteristics helps manage risks for better patient outcomes.
Area of Science:
- Cardiology
- Endocrinology
- Surgery
Background:
- Diabetes mellitus (DM) is a prevalent condition associated with increased surgical risks.
- Identifying patients with DM at higher risk for postoperative complications is crucial for effective perioperative management.
Purpose of the Study:
- To identify preoperative clinical characteristics that predict serious postoperative complications in patients with diabetes mellitus undergoing surgery.
Main Methods:
- An inception cohort of diabetic patients undergoing surgical procedures was examined.
- Preoperative clinical data, including comorbidities and end-organ disease, were analyzed.
- Postoperative cardiac morbidity, death, and non-cardiac complications were assessed.
Main Results:
- Pre-existing cardiac disease (congestive heart failure, valvular heart disease) predicted serious cardiac morbidity and death.
- Diabetic end-organ disease, cardiac conditions, and peripheral vascular disease with infection increased non-cardiac complication risk.
- Patients without these conditions had a low rate (4%) of serious non-cardiac complications.
Conclusions:
- Preoperative clinical characteristics, such as specific comorbidities and end-organ damage, reliably predict surgical complications in diabetic patients.
- Neither diabetes severity nor perioperative glucose control influenced postoperative morbidity or mortality.
- Risk stratification based on identifiable preoperative factors is key for managing surgical patients with diabetes.
Abstract:
To define the preoperative clinical characteristics that identify patients with diabetes mellitus at increased risk for postoperative complications, and inception cohort of diabetic patients undergoing surgical treatment was examined. Serious cardiac morbidity and death were predicted by the presence of pre-existing cardiac disease, specifically, congestive heart failure and valvular heart disease. Patients at increased risk for non-cardiac complications (infection, renal insufficiency and cerebral ischemic events) included 24 per cent of those patients with diabetic end-organ disease (retinopathy, neuropathy and nephropathy), 29 per cent of those with congestive heart failure or valvular heart disease and 35 per cent of those with peripheral vascular disease and infection. In patients who did not have such pre-existing conditions, serious noncardiac complications were rare (4 per cent). Neither the severity of the disease nor the degree of perioperative glucose control were associated with increased postoperative morbidity or mortality. We conclude that, among patients with diabetes mellitus who are undergoing surgical procedures, postoperative complications can be predicted by the presence of readily identifiable preoperative clinical characteristics.