Staphylococcus aureus and Staphylococcus epidermidis infections on implants.

Infections are one of the main reasons for removal of implants from patients, and usually need difficult and expensive treatments. Staphylococcus aureus and Staphylococcus epidermidis are the most frequently detected pathogens. We reviewed the epidemiology and pathogenesis of implant-related infections. Relevant studies were identified by electronic searching of the following databases: PubMed, ScienceDirect, Academic Google, and CAPES Journal Portal. This review reports epidemiological studies of implant infections caused by S. aureus and S. epidermidis. We discuss some methodologies used in the search for new compounds with antibiofilm activity and the main strategies for biomaterial surface modifications to avoid bacterial plaque formation and consequent infection. S. aureus and S. epidermidis are frequently involved in infections in catheters and orthopaedic/breast implants. Different methodologies have been used to test the potential antibiofilm properties of compounds; for example, crystal violet dye is widely used for in-vitro biofilm quantification due to its low cost and good reproducibility. Changes in the surface biomaterials are necessary to prevent biofilm formation. Some studies have investigated the immobilization of antibiotics on the surfaces of materials used in implants. Other approaches have been used as a way to avoid the spread of bacterial resistance to antimicrobials, such as the functionalization of these surfaces with silver and natural compounds, as well as the electrical treatment of these substrates.

Reducing Emergency Medical Service response time via the reallocation of ambulance bases.

The demand for highly efficient and effective services and consumer goods is an essential prerequisite for modern organizations. In healthcare, efficiency and effectiveness mean reducing disabilities and maintaining human life. One challenge is guaranteeing rapid Emergency Medical Service (EMS) response. This study analyzes the EMS of Belo Horizonte, Brazil, using two modeling techniques: optimization and simulation. The optimization model locates ambulance bases and allocates ambulances to those bases. A simulation of this proposed configuration is run to analyze the dynamic behavior of the system. The main assumption is that optimizing the ambulance base locations can improve the system response time. Feasible solutions were found and the current system may be improved while considering economic and operational changes.