Sarcopenia has been observed to be a predictor of mortality in international studies of patients with metastatic disease of the spine. This study aimed to validate sarcopenia as a prognostic tool in a New Zealand setting. A secondary aim of this study was to assess the intra-observer reliability of measurements of psoas and vertebral body cross sectional areas on computed tomography imaging. A cohort of patients who had presented to Waikato Hospital with secondary neoplasia in the spinal column from 2014 to 2018 was selected. Cross sectional psoas and vertebral body areas were measured at the mid-pedicle L3 level, followed by calculation of the psoas to vertebral body cross sectional area ratio. Psoas to vertebral body cross sectional area ratio was compared with survivorship. The strength of the correlation between sarcopenia and survivorship was compared with the correlation between serum albumin and survivorship, as well as the correlation between the Metastatic Spine Risk Index (MSRI) and survivorship. A total of 110 patients who received operative (34) and non-operative (76) were included. The results demonstrate that psoas to vertebral body cross sectional area ratio is not statistically significantly correlated with survivorship (p=0.53). Serum albumin is significantly correlated with survivorship (p<0.0001), as was the MSRI. There is good intra-observer and inter-observer reliability for measurements of psoas to vertebral body cross sectional area. This study failed to demonstrate the utility for the psoas to vertebral body cross sectional area ratio that other studies have demonstrated in estimating survivorship. Serum albumin levels remain a useful prognostic indicator in patients with secondary tumours in the vertebral column

The total hip arthroplasty (THA) is an effective operation for the restoration of the hip function. The number of operations is steadily climbing and is going to reach new heights in the future. The most devastating complication is the deep infection of the joint and has to be treated with a total revision of the prostheses. The risk factors for an infection play a very important role in the preoperative assessment of the patient and for the antibiotic treatment. There are many different opinions on which risk factors are associated with the development of a deep infection in the literature. Our goal was to analyze and find the risk factors, which matter most in the clinical treatment of patients. We searched the database “PubMed” and “Embase” with the keywords: „(((hip AND infection)) AND (arthroplasty OR replacement)”. With the help of check lists and limits we extracted the most viable studies for our research. Risk factors associated with a deep infection included the BMI (Body mass index), male gender, prolonged duration of surgery, diabetes mellitus type 2, the ASA (American society of anesthesiologists) score, the Charlson score and the NNIS (National Nosocomial Infections Surveillance System) risk index score. Female gender, age and the diagnosis of rheumatoid arthritis were not associated with deep infections. Patients with risk factors should be assessed preoperatively and receive an appropriate prophylactic antibiotic treatment, to reduce the risk of a deep infection. With the reduction of their weight and adjustment of the diabetes, patients can reduce the risk for infection by their own. Total hip replacement is still a safe and effective operation and thus should not be withheld from patients

Post-discharge surveillance of surgical site infection is necessary if accurate rates of infection following surgery are to be available. We undertook a prospective study of 376 knee and hip replacements in 366 patients in order to estimate the rate of orthopaedic surgical site infection in the community. The inpatient infection was 3.1% and the post-discharge infection rate was 2.1%. We concluded that the use of telephone interviews of patients to identify the group at highest risk of having a surgical site infection (those who think they have an infection) with rapid follow-up by a professional trained to diagnose infection according to agreed criteria is an effective method of identifying infection after discharge from hospital.