P06 The burden of surgical site infections in vascular surgery: epidemiology, microbiology and 30 day mortality in North Wales, United Kingdom
Bibliographic record
Abstract
Abstract Background Surgical site infections (SSIs) represent a major cause of morbidity in vascular surgery, with incidence rates demonstrating significant variation based on procedure type and anatomical location. While clean vascular procedures carry a 2%–4% SSI risk, this increases substantially for cases involving groin or lower limb incisions. The clinical consequences are severe, including prolonged hospitalization, higher mortality, significant healthcare expenditures and increased re-intervention requirements. Objectives In this study we examine the incidence, microbiological characteristics and clinical outcomes of SSIs at a vascular tertiary referral centre, addressing a notable gap in contemporary United Kingdom (UK) vascular literature. Our findings aim to inform improved prevention protocols and management strategies for these potentially devastating complications. Methods We conducted a retrospective analysis of all patients admitted in vascular surgery, from 1 June 2020 to 31 July 2021 who developed SSIs post-admission at our institute in North Wales (UK). Our centre is the vascular hub serving all the North Wales hospitals. Data were collected on demographics, procedure type, infection site, microbial isolates, length of stay (LOS), mortality and re-intervention rates. Results During the study period 943 patients were admitted in our department. 56 patients (5.9%) developed SSIs, with 86% occurring following emergency procedures. The groin (41%) and major amputation stumps (29%) were the most common infection sites. High-risk patients were elderly males undergoing emergency revascularization. Gram-negative organisms (coliforms, Pseudomonas aeruginosa) were the most predominant causes, followed by Enterococcus spp. and Staphylococcus aureus. Polymicrobial infections (35.7%) were associated with early onset (mean 5 days) and prolonged LOS (mean 44 days). Enterococcus infections had the latest onset (mean 16 days) and longest LOS (mean 50 days). The 30 day mortality rate was 23.2%, with 61.5% of deaths attributable to groin and or stump infections. Reoperation (23%) correlated with a 30.7% mortality rate and significantly extended hospitalization. Conclusions SSIs in vascular surgery, though relatively uncommon, are clinically significant, particularly following emergency groin or amputation procedures. The predominance of Gram-negative and poly microbial infections, including emerging enterococcus trends, highlights challenges in antimicrobial stewardship. Targeted prophylaxis, early detection and multidisciplinary management protocols are warranted for high-risk patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".