Mode
Text Size
Log in / Sign up

Diabetes and age increase surgical site infection risk in spinal surgery patients based on a multicenter cohortResearchers find diabetes and age raise infection risk after spinal surgery

AI-generated summary of the cited source, checked by automated accuracy review. How we work

Key Takeaway
Note that diabetes and age independently increase surgical site infection risk in spinal surgery patients.

This retrospective multicenter cohort study evaluated 1,049 patients who underwent spinal surgeries to identify risk factors for surgical site infection. The primary outcome was the occurrence of surgical site infection, with secondary outcomes including microorganism prevalence. The analysis identified several independent predictors associated with increased or decreased risk of infection.

The study found that diabetes mellitus was an independent predictor of surgical site infection with an odds ratio of 3.698 and a 95% CI of 1.854–7.377. Age also increased risk with an odds ratio of 3.312 and a 95% CI of 1.377–7.965. Operative time and blood loss were additional risk factors, with odds ratios of 2.003 (95% CI: 1.129–3.554) and 2.085 (95% CI: 1.183–3.674), respectively.

Conversely, lower albumin levels and specific suture methods decreased risk. The odds ratio for albumin was 0.172 (95% CI: 0.091–0.326), and the odds ratio for method of suture was 0.459 (95% CI: 0.258–0.817). Staphylococcus aureus was the most prevalent microorganism identified. The nomogram demonstrated good discrimination ability with a concordance index of 0.787 (95% CI: 0.718–0.856).

Safety data, adverse events, and discontinuations were not reported in this study. As a retrospective observational study, these findings describe associations rather than causation. The nomogram is user-friendly and has the potential to aid clinicians in making informed clinical decisions tailored to individual patients.

Imagine preparing for spinal surgery hoping for a smooth recovery. Instead, some patients deal with painful infections at the incision site. This worry is real for over a thousand people studied here.

Researchers looked at 1,049 patients who had spinal operations. They found specific things that made infections more likely. Older age and having diabetes both raised the risk significantly. Longer surgery times and more blood loss also played a role.

Some factors lowered the risk instead. Higher levels of albumin in the blood helped protect patients. The way doctors closed the wound also mattered. Doctors identified Staphylococcus aureus as the most common germ in these infections.

This study looked at past records, not a new treatment trial. It shows links between factors and infections rather than proving cause. A tool called a nomogram might help doctors predict risk for individual patients. It is user-friendly and could guide better decisions.

What this means for you:
Older age and diabetes significantly raise infection risk after spinal surgery.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
Surgical site infection (SSI) represents a prevalent postoperative complication associated with spinal surgery, contributing to increased morbidity and mortality rates. This study sought to identify key prognostic factors for SSI following spinal surgery and to develop a novel nomogram to predict SSI incidence. Retrospective data collection was conducted on patients who underwent spinal surgeries between 2017 and 2024. The cohort was stratified into two groups: those with infections (n = 59) and those without infections (n = 990). A nomogram was developed to predict the risk of SSI outcomes, utilizing results derived from univariate and multivariate regression analyses of factors influencing SSI after spinal surgery. Internal validation of the nomogram was conducted through Bootstrap analysis. A total of 1,049 patients were enrolled in the study. Variables identified as statistically significant through univariate regression analyses were incorporated into the multivariate regression model. The analysis revealed that age (odds ratio [OR]: 3.312, 95% confidence interval [CI]: 1.377–7.965), diabetes mellitus (OR: 3.698, 95% CI: 1.854–7.377), albumin levels (OR: 0.172, 95% CI: 0.091–0.326), operative time (OR: 2.003, 95% CI: 1.129–3.554), method of suture (OR: 0.459, 95% CI: 0.258–0.817), and blood loss (OR: 2.085, 95% CI: 1.183–3.674) were independent predictors. Based on these indicators, a nomogram model was developed. Routine bacterial cultures of surgical site secretions were performed in patients with suspected infections, revealing that Staphylococcus aureus was the most prevalent microorganism. The application of the nomogram in the validation cohort exhibited good discrimination ability, with a concordance index of 0.787 (95% CI, 0.718–0.856), and demonstrated good calibration. Decision curve analysis further confirmed the model’s superior clinical utility across a wide range of threshold probabilities. This study has developed a robust and valuable nomogram capable of accurately predicting the incidence of SSI following spinal surgery in patients. This tool is user-friendly and has the potential to aid clinicians in making informed clinical decisions tailored to individual patients.
Free Newsletter

Clinical research that matters. Delivered to your inbox.

Join thousands of clinicians and researchers. No spam, unsubscribe anytime.