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Orthopaedic Proceedings
Vol. 99-B, Issue SUPP_8 | Pages 79 - 79
1 Apr 2017
Al-Azzani W Mak D Hodgson P Williams R
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Background

We reproduced a frequently cited study performed at our University Hospital that was published in the British Medical Journal in 1981 assessing the extent of “snow and ice” fractures during the winter period.

Methods

As per the original study, four days of snow and ice were identified as well as two control periods when snow and ice wasn't recorded; four days within the same year, with a similar amount of sunshine hours, and four days one calendar year later. The distribution of fractures according to age and sex in addition to the anatomical location were examined in relation to the presence of snow and ice as well as comparisons with the index study 33 years ago.


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XVIII | Pages 8 - 8
1 May 2012
Roberts H Paisey S Jemmett P Hodgson P Wilson C Mason D
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Osteoarthritis (OA)

is the most common arthritic condition. OA causes joint pain, loss of mobility and significantly affects the quality of life for the affected individual. The major burden to patients with arthritis is pain. However, often radiological joint destruction and the extent of pain do not correlate. This causes a dilemma for clinicians in advising timing for joint replacement surgery. In arthritis, concentrations of the neurotransmitter, glutamate is increased within the synovial fluid activating both peripheral pain mechanisms and pathological processes (1). Other pathological/pain related metabolites are also released into synovial fluid, which provides a real time snap shot of the joint pathology. We have tested the hypothesis that ‘The increased levels of pain and disease-related metabolites within human synovial fluids from arthritic joints can be detected and quantified ex vivo using high resolution 1H-NMR.’

Method

OA synovial fluid samples were obtained during arthroscopy or total knee replacements from patients with varying degrees of pain and pathology (cartilage graded 0-4; n=21). Pain perception was determined using the Oxford knee score and samples sub-classified as mild, moderate and severe pain. All samples were analysed using 500 MHz 1H NMR spectroscopy. Chemical shifts were referenced to a known concentration NMR internal standard (TSP), peaks identified by reference to published synovial fluid NMR spectra (2) and peak integrals measured using the Bruker software Topspin 2.0.

Results: Using NMR we were able to detect around 26 metabolite-specific peaks in synovial fluid spectra (such as glutamate/glutamine, isoleucine, acetyl glucoproteins, beta-hydroxbutyrate, CH2 lipids, lactate, glucose). Some specific metabolites varied significantly with pain or pathological score. For example, we found significantly more glutamate/glutamine, isoleucine and beta-hydroxybutyrate (p<0.05, T test) in OA samples reporting mild to moderate levels of pain (n=14) compared to severe pain (n=7). Significantly more CH2 lipids (p<0.05, T-test) were also present in samples indicating severe pain compared to mild/moderate pain.