ABSTRACT
We report on acquisition of key data from the clinical medical record, surgical data, radiologic studies, and patient surveys for a novel digital total hip arthroplasty (THA) registry that includes electronic capture of digital radiographic images into a database on an internet platform for query. We now have the ability to collect demographic and operative data, including the operative note, discharge summary, surgery data, and Digital Imaging Communications in Medicine (DICOM) radiology images. Steps are being completed to assemble office encounters, hospital procedural codes, and implant bar codes. Two examples include a THA surgery record and a THA outcome study with plain radiograph set. Analysis of such data could suggest ways to improve clinical practice.
Subject(s)
Arthroplasty, Replacement, Hip , Databases, Factual , Outcome Assessment, Health Care/methods , Radiology Information Systems , Registries , Humans , Internet , Medical Records Systems, ComputerizedABSTRACT
Revision total knee arthroplasty often requires solutions for the multiple complexities that exist on the femoral side, including the treatment of bone loss, component position, ligamentous laxity, and component stability. Surgical decisions regarding the proper use of bone grafts, component augmentation, proper axial and rotational alignment, and femoral stems must be addressed systematically to achieve consistently successful outcomes. A review of currently used femoral revision techniques and their rationale and a classification system of femoral deficiencies designed to guide the surgical decision making process are presented.
Subject(s)
Arthroplasty, Replacement, Knee/methods , Decision Making , Femur/transplantation , Humans , Prosthesis Failure , Reoperation , Transplantation, HomologousABSTRACT
The last decade has seen the crossover of basic molecular research techniques toward clinical application. The use of molecular diagnostics originally was driven by the desire to identify unculturable or fastidious pathogens. Success in this setting has led to new applications aimed at identifying organisms involved in musculoskeletal infection. Recently, polymerase chain reaction techniques have been investigated as to their efficacy in diagnosing septic arthritis and periprosthetic infection. This paper will offer an introduction to molecular diagnostics, a brief review of several techniques, and update their status in the diagnosis of musculoskeletal infection.
