The incidence of surgical site infection following major lower limb amputation: A systematic review.
Nina Al-SaadiKhalid Al-HashimiMatthew A PopplewellIsmay FabreBrenig Llwyd GwilymLouise HitchmanIan ChetterDavid Charles BosanquetMichael L WallPublished in: International wound journal (2024)
Surgical site infections (SSIs) following major lower limb amputation (MLLA) in vascular patients are a major source of morbidity. The objective of this systematic review was to determine the incidence of SSI following MLLA in vascular patients. This review was prospectively registered with the International Prospective Register of Systematic Reviews (CRD42023460645). Databases were searched without date restriction using a pre-defined search strategy. The search identified 1427 articles. Four RCTs and 21 observational studies, reporting on 50 370 MLLAs, were included. Overall SSI incidence per MLLA incision was 7.2% (3628/50370). The incidence of SSI in patients undergoing through-knee amputation (12.9%) and below-knee amputation (7.5%) was higher than the incidence of SSI in patients undergoing above-knee amputation, (3.9%), p < 0.001. The incidence of SSI in studies focusing on patients with peripheral arterial disease (PAD), diabetes or including patients with both was 8.9%, 6.8% and 7.2%, respectively. SSI is a common complication following MLLA in vascular patients. There is a higher incidence of SSI associated with more distal amputation levels. The reported SSI incidence is similar between patients with underlying PAD and diabetes. Further studies are needed to understand the exact incidence of SSI in vascular patients and the factors which influence this.
Keyphrases
- surgical site infection
- lower limb
- end stage renal disease
- risk factors
- systematic review
- patients undergoing
- chronic kidney disease
- newly diagnosed
- ejection fraction
- type diabetes
- prognostic factors
- peritoneal dialysis
- cardiovascular disease
- total knee arthroplasty
- randomized controlled trial
- emergency department
- machine learning
- skeletal muscle
- adipose tissue
- metabolic syndrome
- patient reported outcomes
- meta analyses
- deep learning
- peripheral artery disease
- density functional theory