Extensor surface ulcers have the same prevalence as digital-tip ulcers in patients with SSc, and are equally disabling. Clinical trials should therefore include both categories of DUs.
Infrared thermography (IRT) has been used as a non-invasive means of assessing stress responses in animals. Changes in surface temperature that relate to redirected blood flow have been associated with emotional responses in a range of species. For example, when horses were subjected to a sham clipping procedure, increases in eye temperature were found to correlate significantly with increases in salivary cortisol. The Pessoa Training Aid is claimed to enhance the physical development of the horse but may also increase the psychological stress associated with training. The aim of the current study was to use IRT to evaluate whether the use of this training device affected the stress response of horses during a lunge session. Riding school horses (n=8) were used for the study. All had previously been lunged in the Pessoa. Each horse was lunged for two sessions of approximately 15 minutes, once with and once without the Pessoa using a cross-over design. In each session the horse was lunged on both reins at walk, trot, canter, trot and walk. With the Pessoa the horse was lunged initially with the device fitted loosely and it was only tightened for the second trot. Thermal images were taken from a distance of one metre after each gait and from each side of the horse using a Mobir GuidIR M4 thermal camera. Ambient temperature was also recorded. A digital rectal thermometer was used to measure core temperature. Thermal images were analysed using Guide IR analyser software. The same area around the eye, on the neck and around the ear was circled on each image and the maximum temperature recorded. Mean temperatures (eye, ear, neck and core) were calculated for each gait with and without the Pessoa. A two-way repeated measures ANOVA was carried out on the mean temperatures to assess the effects of Pessoa and gait. Significantly higher eye temperatures were recorded with the Pessoa (30.59 ±0.58°C) than without it (28.7±0.83°C) (p<0.05). There was also a significant effect of gait (p<0.01), with the highest eye temperature being recorded following the second trot when the Pessoa was worn (32.34±2.61°C) and the lowest at halt (27.5±0.95°C). There was no significant effect of either gadget or gait on ear or neck temperature. Significantly higher core temperatures were found when the Pessoa was used (with: 37.11±0.2°C; without: 36.7±0.17°C) although this was not affected by gait. No correlation between ambient temperature and eye, ear or neck temperature was found. The results of this preliminary study indicate that the horses experienced more stress when lunged with the Pessoa than without it. The increased eye temperature that occurred in relation to gait and was highest after the second trot was accentuated by the use of the Pessoa following tightening of the device. The use of IRT offers an objective non-invasive method of assessing the horse's response to other training methods and a means of improving the welfare of the ridden horse.
BACKGROUND
Normative cognitive data can distinguish impairment from healthy cognitive function and pathological decline from normal ageing. Traditional methods for deriving normative data typically require extremely large samples of healthy participants, stratifying test variation by pre-specified age groups and key demographic features (age, sex, education). Linear regression approaches can provide normative data from more sparsely sampled datasets, but non-normal distributions of many cognitive test results may lead to violation of model assumptions, limiting generalisability
OBJECTIVE
The aims of the study are to describe a novel methodological approach for generating normative cognitive data and examine the sensitivity of this novel approach in comparison to other methods for deriving normative data.
METHODS
The current study proposes a novel Bayesian framework for normative data generation. Participants (n=728; 368 male and 360 female, age 18-75 years), completed the Cambridge Neuropsychological Test Automated Battery via the research crowdsourcing website Prolific.ac. Participants completed tests of visuospatial recognition memory (Spatial Working Memory test), visual episodic memory (Paired Associate Learning test) and sustained attention (Rapid Visual Information Processing test). Test outcomes were modelled as a function of age using Bayesian Generalised Linear Models, which were able to derive posterior distributions of the authentic data, drawing from a wide family of distributions.
RESULTS
Markov Chain Monte Carlo algorithms generated a large synthetic dataset from posterior distributions for each outcome measure, capturing normative distributions of cognition as a function of age, sex and education. Comparison with stratified and linear regression methods showed converging results, with the Bayesian approach producing similar age, sex and education trends in the data, and similar categorisation of individual performance levels.
CONCLUSIONS
This study documents a novel, reproducible and robust method for describing normative cognitive performance with ageing using a large dataset.
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