Why the study?
Multiple factors influence the risk of surgical site infections, but the role of preoperative serum cholesterol levels as a potential risk factor needed evaluation.
Do preoperative serum cholesterol levels predict the risk of surgical site infection in patients undergoing elective surgery?
Do preoperative serum cholesterol levels predict the risk of surgical site infection in patients undergoing elective surgery?
Low preoperative serum cholesterol is a significant risk factor for developing surgical site infections following elective surgery, associated with longer hospital and ICU stays.
Preoperative cholesterol may aid SSI risk stratification; leaves open independent predictive value in prospective cohorts.
Background: Surgical site infections (SSIs) occur within 30 days of surgery or within one year if a prosthesis is implanted. They are classified as superficial, deep, or organ-space infections. Factors such as wound class, blood transfusion, ostomy creation, operation type, drainage use, patient sex, and surgeon expertise influence SSI risk. This study evaluates preoperative serum cholesterol levels as a potential SSI risk factor. Methods: Cholesterol levels were measured preoperatively in 100 patients undergoing elective surgery. Postoperative surgicalsite wound swabs identified infecting organisms. Hospital stay duration and ICU requirement were recorded. Results: Among 100 patients (68 males, 32 females), SSI rates varied by cholesterol status. In the hypocholesterolemia group (n=26), 11 (42.3%) developed SSI. In the hypercholesterolemia group (n=18), 2 (11.1%) developed SSI. In patients with normal cholesterol (n=56), 5 (8.9%) developed SSI. The correlation between cholesterol levels and SSI was statistically significant (p=0.00087). S. aureus (including MRSA) was the most common organism. Hypocholesterolemia patients had longer hospital and ICU stays. These findings align with existing literature. Conclusions: Low serum cholesterol and albumin levels are significant risk factors for SSIs. Larger studies evaluating lipid subtypes are needed to enhance SSI risk stratification. Limitations were small sample size, heterogeneous procedures, comorbidities, nutritional status variations, inconsistent cholesterol measurement timing, and lack of lipid fraction analysis. Limited interventional data restricts clinical application.
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Sharma et al. (2025) studied this question.
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