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Predictors of postoperative complications in the patient with diabetes mellitus

Laurent S Tao1, C Ronald Mackenzie, Mary E Charlson

  • 1The New York Hospital, New York, NY, USA.

Insights

Diabetic patients undergoing surgery face high cardiovascular risks. The Goldman index predicts short-term cardiac complications, while various factors predict long-term outcomes, highlighting the need for tailored perioperative risk assessment.

Area of Science:

  • Cardiology
  • Diabetology
  • Surgical Risk Assessment

Background:

  • Diabetes mellitus is associated with increased cardiovascular morbidity and mortality.
  • Existing preoperative risk indices are not specific to diabetic patients.
  • Perioperative cardiovascular risk evaluation is critical for diabetic patients undergoing surgery.

Purpose of the Study:

  • To identify predictors of postoperative cardiac and noncardiac complications in diabetic patients.
  • To evaluate predictors of long-term cardiac and vascular morbidity and mortality in this population.

Main Methods:

  • Prospective cohort study of 107 diabetic patients undergoing elective general surgery.
  • Data collection included perioperative clinical and demographic information.
  • Follow-up included daily monitoring for 7 days and a 5-year postoperative interview.
  • Univariate and multivariate analyses were used to identify predictors.

Main Results:

  • The Goldman index predicted total cardiac complications and myocardial infarction.
  • Age, prior myocardial infarction/stroke, vascular disease, Goldman index, diabetes/hypertension duration, Charlson score, and postoperative cardiac events predicted long-term outcomes.
  • Intraoperative blood sugar control did not predict short- or long-term cardiovascular complications.

Conclusions:

  • The Goldman index is a significant preoperative predictor of total cardiac complications.
  • Both pre- and postoperative factors predict long-term cardiac and vascular complications in diabetic surgical patients.
  • Further research is needed to refine perioperative risk assessment and management for diabetics.
Abstract

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