Surgical infections最新文献

Background: Preperitoneal pelvic packing (PPP) and external fixation has led to improved mortality after devastating pelvic trauma. However, there is limited literature on infection after this intervention. We aim to study the risk factors associated with pelvic infection after PPP. Patients and Methods: A retrospective review of patients who underwent PPP at a single level 1 trauma center was performed. Results: Over the 18-year study period, 222 patients were identified. Twenty-three percent of patients had an open fracture. Pelvic angiography was performed in 24% of patients with 16% requiring angioembolization (AE). The average time to packing removal was two (one to two days) days, although 10% of patients had their pelvis re-packed. Overall infection rate was 14% (n = 31); if pelvic re-packing was performed, the infection rate increased to 45%. Twenty-two of the patients with an infection required additional procedures for their infection, and ultimately hardware removal occurred in eight patients. On univariable analysis, patients with pelvic infections had more open fractures (55% vs. 17%; p < 0.01), underwent AE more frequently (29% vs. 14%; p = 0.04), were more likely to undergo repacking (32% vs. 6%; p < 0.01), and had packing in place for longer (2 [1,2] vs. 2 [2,3]; p = 0.01). On logistic multivariable regression analysis, open fracture (odds ratio [OR], 5.8; 95% confidence interval [CI], 2.4-14.1) and pelvic re-packing (OR, 4.7; 95% CI, 1.2-18.5) were independent risk factors for pelvic infection. Conclusions: Pelvic infection after PPP is a serious complication independently associated with open fracture and re-packing of the pelvis. Re-intervention was required in most patients with infection.

Background: Surgical site complications (SSCs) are common, yet preventable hospital-acquired conditions. Single-use negative pressure wound therapy (sNPWT) has been shown to be effective in reducing rates of these complications. In the era of value-based care, strategic allocation of sNPWT is needed to optimize both clinical and financial outcomes. Materials and Methods: We conducted a retrospective analysis using data from the Premier Healthcare Database (2017-2021) for 10 representative open procedures in orthopedic, abdominal, cardiovascular, cesarean delivery, and breast surgery. After separating data into training and validation sets, various machine learning algorithms were used to develop pre-operative SSC risk prediction models. Model performance was assessed using standard metrics and predictors of SSCs were identified through feature importance evaluation. Highest-performing models were used to simulate the cost-effectiveness of sNPWT at both the patient and population level. Results: The prediction models demonstrated good performance, with an average area under the curve of 76%. Prominent predictors across subspecialities included age, obesity, and the level of procedure urgency. Prediction models enabled a simulation analysis to assess the population-level cost-effectiveness of sNPWT, incorporating patient and surgery-specific factors, along with the established efficacy of sNPWT for each surgical procedure. The simulation models uncovered significant variability in sNPWT's cost-effectiveness across different procedural categories. Conclusions: This study demonstrates that machine learning models can effectively predict a patient's risk of SSC and guide strategic utilization of sNPWT. This data-driven approach allows for optimization of clinical and financial outcomes by strategically allocating sNPWT based on personalized risk assessments.

Background: Improvements in liver transplant (LT) outcomes are attributed to advances in surgical techniques, use of potent immunosuppressants, and rigorous pre-LT testing. Despite these improvements, post-LT infections remain the most common complication in this population. Bacteria constitute the most common infectious agents, while fungal and viral infections are also frequently encountered. Multi-drug-resistant bacterial infections develop because of polymicrobial overuse and prolonged hospital stays. Immediate post-LT infections are commonly caused by viruses. Conclusions: Appropriate vaccination, screening of both donor and recipients before LT and antiviral prophylaxis in high-risk individuals are recommended. Antimicrobial drug resistance is common in high-risk LT and associated with poor outcomes; epidemiology and management of these cases is discussed. Additionally, we also discuss the effect of coronavirus disease 2019 (COVID-19) infection and monkeypox in the LT population.

Background: Packed red blood cell (PRBC) transfusion has been shown to increase nosocomial infection risk in the injured population; however, the post-traumatic infectious risk profiles of non-PRBC blood products are less clear. We hypothesized that plasma (fresh frozen plasma [FFP]), platelet (PLT), and cryoprecipitate administration would not be associated with increased rates of nosocomial infections. Patients and Methods: We performed a retrospective, matched, case-control study utilizing the American College of Surgeons National Trauma Data Bank data for 2019. We included all patients who received any volume of PRBC within four hours of presentation. Our outcome of interest was any infection. Controls were matched to cases using individual matching with a desired 1:3 case:control ratio. Bivariable analysis according to infection status, and multivariable logistic regression modeling the development of infection were then performed upon the matched data. Results: A total of 1,563 infectious cases were matched to 3,920 non-infectious controls. First four-hour transfusion volumes for FFP, PLT, and cryoprecipitate in the infection group exceeded those in the control group. The first four-hour FFP transfusion volume (per unit odds ratio [OR], 1.02; 95% confidence interval [CI], 0.99-1.04; p = 0.28) and cryoprecipitate transfusion volume (per unit OR, 1.01; 95% CI, 0.99-1.02; p = 0.43) were similar in cases and controls whereas PLT transfusion volume (per unit OR, 0.92; 95% CI, 0.86-0.98; p = 0.01) was lower in cases of infection than in controls. Conclusions: Fresh frozen plasma, PLT, and cryoprecipitate transfusion volumes were not independent risk factors for the development of nosocomial infection in a trauma population. PLT transfusion volume was associated with less infection.