ANALYSIS OF CLINICAL PROFILE AND OUTCOMES IN PATIENTS WITH METABOLIC RISK FACTORS AFTER CORONARY ARTERY BYPASS GRAFTING
Abstract
Coronary artery bypass grafting (CABG) is a critical intervention for patients with advanced coronary artery disease, yet its success is often challenged by the presence of systemic metabolic risk factors. Factors such as hypertension, dyslipidemia, and impaired glucose metabolism create a chronic pro-inflammatory environment that can complicate surgical recovery. This study aims to evaluate how these metabolic disturbances influence early and late postoperative outcomes in a clinical setting. Material and Methods: A retrospective observational study was conducted on 19 patients with established metabolic risk factors who underwent CABG at the "Zhan Mitrev Clinic" (Skopje) between February and March 2025. Preoperative comorbidities and laboratory findings were analyzed in relation to postoperative complications. Metabolic risk was assessed using NCEP ATP III guidelines. Results: The majority of patients were male (68%), with a predominant age range of 61 to 70 years. All patients presented with hypertension and hyperlipidemia, while 36% were diagnosed with type 2 diabetes. The most frequent early postoperative complication was atrial fibrillation (42%), followed by cerebrovascular insult (16%). Long-term follow-up revealed a 5% incidence of prolonged sternal wound healing and a 5% rate of rehospitalization due to hypotension. No perioperative mortality was recorded. Conclusion: The presence of metabolic risk factors identifies a high-risk patient cohort prone to postoperative arrhythmias and delayed wound healing. Preoperative identification and aggressive optimization of these risk factors are essential to mitigate the systemic inflammatory response and improve overall surgical prognosis.
Fields of Study & Subjects
Cardiac and Coronary Surgery Techniques
Cardiac
Anesthesia and Surgical Outcomes
Cardiac Health and Mental Health
Publication details
- Journal / source
- Journal of Morphological Sciences
- Volume
- 9
- Issue
- 1
- Pages
- 85–85
- Publication date
- 23 February 2026
- Language
- EN