Infection of implants is a major problem in elective and trauma surgery. Heating is an effective way to reduce the bacterial load in food preparation, and studies on hyperthermia treatment for cancer have shown that it is possible to heat metal objects with pulsed electromagnetic fields selectively (PEMF), also known as induction heating. We therefore set out to answer the following research question: is non-contact induction heating of metallic implants effective in reducing bacterial load Titanium alloy cylinders (Ti6Al4V) were exposed to PEMF from an induction heater with maximum 2000 watts at 27 kHz after being contaminated with five different types of micro-organisms: Objectives
Methods
To define Patient Acceptable Symptom State (PASS) thresholds
for the Oxford hip score (OHS) and Oxford knee score (OKS) at mid-term
follow-up. In a prospective multicentre cohort study, OHS and OKS were collected
at a mean follow-up of three years (1.5 to 6.0), combined with a
numeric rating scale (NRS) for satisfaction and an external validation
question assessing the patient’s willingness to undergo surgery
again. A total of 550 patients underwent total hip replacement (THR)
and 367 underwent total knee replacement (TKR).Objectives
Methods
Electronic forms of data collection have gained interest in recent
years. In orthopaedics, little is known about patient preference
regarding pen-and-paper or electronic questionnaires. We aimed to
determine whether patients undergoing total hip (THR) or total knee
replacement (TKR) prefer pen-and-paper or electronic questionnaires
and to identify variables that predict preference for electronic
questionnaires. We asked patients who participated in a multi-centre cohort study
investigating improvement in health-related quality of life (HRQoL)
after THR and TKR using pen-and-paper questionnaires, which mode
of questionnaire they preferred. Patient age, gender, highest completed
level of schooling, body mass index (BMI), comorbidities, indication
for joint replacement and pre-operative HRQoL were compared between
the groups preferring different modes of questionnaire. We then
performed logistic regression analyses to investigate which variables
independently predicted preference of electronic questionnaires.Objectives
Methods
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