Key Takeaways
- SSIs are among the most common hospital-acquired infections in surgical wards
- 27% of surgical patients with an SSI have infections affecting the organ/space level
- 2.4% incidence of SSI after abdominal hysterectomy reported in a systematic review
- SSI increases the risk of postoperative death; pooled estimates indicate an increased mortality risk (meta-analysis)
- SSI is associated with a 2.5-fold increase in odds of postoperative mortality (meta-analysis estimate)
- SSI is associated with prolonged length of stay; estimates show an additional 7–10 days in many studies
- $28,697 average attributable cost per SSI in one large U.S. study (mean excess cost)
- $2.5 billion to $7.4 billion annual cost range from SSIs across the EU (systematic economic review estimate range)
- SSI-related costs vary by type; deep/organ-space SSIs cost more than superficial incisional SSIs (published comparative analyses)
- Risk of SSI increases with certain patient factors; diabetes prevalence and SSI association quantified in cohort studies (example: pooled OR estimates)
- Obesity (BMI≥30) increases SSI risk; meta-analyses report increased odds ratios compared with normal weight
- Smoking increases SSI risk; meta-analysis reports elevated odds versus nonsmokers
- Positive culture rates for SSIs vary by site; but pooled culture-confirmed SSI proportions are reported in microbiology studies
- Staphylococcus aureus is a leading SSI pathogen in many surgical cohorts (incidence share reported in reviews)
- Coagulase-negative staphylococci are frequently detected in superficial and deep SSIs in prosthetic-related surgeries (review data)
Surgical site infections affect up to 5 percent of common surgeries, extend stays, and greatly raise death risk.
Prevalence & Burden
Prevalence & Burden Interpretation
Clinical Outcomes
Clinical Outcomes Interpretation
Cost Analysis
Cost Analysis Interpretation
Risk Factors & Prevention
Risk Factors & Prevention Interpretation
Microbiology & Pathogens
Microbiology & Pathogens Interpretation
Surveillance & Reporting
Surveillance & Reporting Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Timothy Grant. (2026, February 13). Surgical Site Infection Statistics. Gitnux. https://gitnux.org/surgical-site-infection-statistics
Timothy Grant. "Surgical Site Infection Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/surgical-site-infection-statistics.
Timothy Grant. 2026. "Surgical Site Infection Statistics." Gitnux. https://gitnux.org/surgical-site-infection-statistics.
References
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