AIMC Topic: Surgical Wound Infection

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Serum and Wound Vancomycin Levels After Intrawound Administration in Primary Total Joint Arthroplasty.

The Journal of arthroplasty
BACKGROUND: Periprosthetic joint infection is the most common cause of readmissions after total joint arthroplasty (TJA). Intrawound vancomycin powder (VP) has reduced infection rates in spine surgery; however, there are no data regarding VP in prima...

Abdominal Hysterectomy: Reduced Risk of Surgical Site Infection Associated with Robotic and Laparoscopic Technique.

Surgical infections
BACKGROUND: Hysterectomy is one of the most common procedures performed in the United States. New techniques utilizing laparoscopic and robotic technology are becoming increasingly common. It is unknown if these minimally invasive surgical techniques...

[Infection prevention check-in and infection prevention check-out to prevent nosocomial infections].

Zentralblatt fur Chirurgie
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of the proven anti-infective measures in form of the multi-barrier strategy or the so-called bundles. In daily practice it is important to follow the fixe...

The best machine learning algorithm for building surgical site infection predictive models: A systematic review and network meta-analysis.

Computers in biology and medicine
BACKGROUND: Many machine learning (ML) algorithms have been used to develop surgical site infection (SSI) prediction models, but little is known about their predicting performance. We conducted a network meta-analysis to compare the performance of di...

Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk.

Scientific reports
This retrospective study leverages machine learning to determine the optimal timing for fracture reconstruction surgery in polytrauma patients, focusing on those with concomitant traumatic brain injury. The analysis included 218 patients admitted to ...

Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models?

The Journal of international medical research
OBJECTIVE: To externally validate by revision and update the study on the efficacy of nosocomial infection control (SENIC) model of surgical site infection (SSI) using logistic regression (LR) and machine learning (ML) approaches.

Comparison of Robotic and Laparoscopic Colectomies Using the 2019 ACS NSQIP Database.

Southern medical journal
OBJECTIVES: Robot-assisted laparoscopic surgeries (RLSs) have become increasingly common in the past decade alongside conventional laparoscopic surgeries (CLSs). In general, RLSs have been reported to be superior to CLSs; therefore, we compared both ...

The Use of Mobile Thermal Imaging and Deep Learning for Prediction of Surgical Site Infection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The ability to detect surgical site infections (SSI) is a critical need for healthcare worldwide, but is especially important in low-income countries, where there is limited access to health facilities and trained clinical staff. In this paper, we pr...

Can BMI be a predictor of perioperative complications in Head and Neck cancer surgery?

Polski przeglad chirurgiczny
<b>Introduction:</b> The effect of BMI on development of perioperative complications in head and neck cancer surgeries is not welldefined. </br></br> <b> Aim:</b> This study aims to evaluate the effect of body mass...