Emanuela Dalla Costa

Development of the Horse Grimace Scale (HGS) as a Pain Assessment Tool in Horses Undergoing Routine Castration

Background The assessment of pain is critical for the welfare of horses, in particular when pain is induced by common management procedures such as castration. Existing pain assessment methods have several limitations, which reduce the applicability in everyday life. Assessment of facial expression changes, as a novel means of pain scoring, may offer numerous advantages and overcome some of these limitations. The objective of this study was to develop and validate a standardised pain scale based on facial expressions in horses (Horse Grimace Scale [HGS]). Methodology/Principal Findings Forty stallions were assigned to one of two treatments and all animals underwent routine surgical castration under general anaesthesia. Group A (n = 19) received a single injection of Flunixin immediately before anaesthesia. Group B (n = 21) received Flunixin immediately before anaesthesia and then again, as an oral administration, six hours after the surgery. In addition, six horses were used as anaesthesia controls (C). These animals underwent non-invasive, indolent procedures, received the same treatment as group A, but did not undergo surgical procedures that could be accompanied with surgical pain. Changes in behaviour, composite pain scale (CPS) scores and horse grimace scale (HGS) scores were assessed before and 8-hours post-procedure. Only horses undergoing castration (Groups A and B) showed significantly greater HGS and CPS scores at 8-hours post compared to pre operatively. Further, maintenance behaviours such as explorative behaviour and alertness were also reduced. No difference was observed between the two analgesic treatment groups. Conclusions The Horse Grimace Scale potentially offers an effective and reliable method of assessing pain following routine castration in horses. However, auxiliary studies are required to evaluate different painful conditions and analgesic schedules.

Using the Horse Grimace Scale (HGS) to Assess Pain Associated with Acute Laminitis in Horses (Equus caballus)

Simple Summary Acute laminitis is a common equine disease characterized by intense foot pain. This work aimed to investigate whether the Horse Grimace Scale (HGS), a facial-expression-based pain coding system, can be usefully applied to assess pain associated with acute laminitis in horses at rest. Ten horses, referred as acute laminitis cases with no prior treatment, were assessed at the admission and at seven days after the initial evaluation and treatment. The authors found that the Horse Grimace Scale is a potentially effective method to assess pain associated with acute laminitis in horses at rest, as horses showing high HGS scores also exhibited higher Obel scores, and veterinarians classified them in a more severe painful state. Abstract Acute laminitis is a common equine disease characterized by intense foot pain, both acutely and chronically. The Obel grading system is the most widely accepted method for describing the severity of laminitis by equine practitioners, however this method requires movement (walk and trot) of the horse, causing further intense pain. The recently developed Horse Grimace Scale (HGS), a facial-expression-based pain coding system, may offer a more effective means of assessing the pain associated with acute laminitis. The aims of this study were: to investigate whether HGS can be usefully applied to assess pain associated with acute laminitis in horses at rest, and to examine if scoring HGS using videos produced similar results as those obtained from still images. Ten horses, referred as acute laminitis cases with no prior treatment, were included in the study. Each horse was assessed using the Obel and HGS (from images and videos) scales: at the admission (before any treatment) and at seven days after the initial evaluation and treatment. The results of this study suggest that HGS is a potentially effective method to assess pain associated with acute laminitis in horses at rest, as horses showing high HGS scores also exhibited higher Obel scores and veterinarians classified them in a more severe painful state. Furthermore, the inter-observer reliability of the HGS total score was good for both still images and video evaluation. There was no significant difference in HGS total scores between the still images and videos, suggesting that there is a possibility of applying the HGS in clinical practice, by observing the horse for a short time. However, further validation studies are needed prior to applying the HGS in a clinical setting.

Welfare Conditions of Donkeys in Europe: Initial Outcomes from On-Farm Assessment

Simple Summary This paper aims to present the first outcomes of data collected using the AWIN welfare assessment protocol for donkeys in 20 EU donkey facilities. Three assessors evaluated 278 donkeys. The authors found recurrent issues: tendency to obesity, lack of hoof care and irregular positive interactions with humans. The protocol proved to be applicable in different management conditions and for donkeys of different attitude. Abstract This paper is a baseline study to present the initial outcomes of data collected in a sample of EU donkey farms using the AWIN welfare assessment protocol for donkeys, comprehensive of 22 valid, reliable and feasible animal-based indicators. A total of 20 donkey facilities (N = 12 in Italy and N = 8 in United Kingdom) were visited and 278 donkeys of different breed, aged 2–45 years, were assessed. Three assessors underwent a common training period to learn how to perform and score all the indicators included in the protocol. Data was collected using digitalized systems and downloaded to a database. A descriptive statistic for each welfare indicator was calculated. The authors found recurrent issues: 25% of donkeys were moderately over weight; although most of the assessed animals had good quality hoof care, 15.16% of them presented some signs of neglect, such as overgrowth and/or incorrect trimming; 18.05% of donkeys showed an avoidance reaction to an approaching human in the avoidance distance test. The protocol has proven to be applicable in different management conditions and for donkeys of different attitude.

Do Different Emotional States Affect the Horse Grimace Scale Score? A Pilot Study

Abstract The Horse Grimace Scale (HGS) is a facial‐expression–based pain coding system that incorporates six Facial Action Units, independently scored. The aim of this pilot study was to determine whether HGS score changed in response to emotional states other than pain. Seven riding school horses were exposed to different experimental conditions that are known to elicit different emotional states (new environment, grooming, anticipation of food reward, fear). As a control, videos were also recorded with the horse undisturbed in their home environment. Videos were recorded in each experimental condition and individual frames were captured from HD video files. Thirty‐five pictures were scored using HGS by three experimental design blind observers. The results showed that the HGS score did not change in any of the experimental conditions when compared with control. In all the conditions but one (fear), the mean HGS score was low (≤2 on a maximum score of 12), but not zero; the scores of stiffly backward ears and prominent strained chewing muscles tended to be higher in fear than in other conditions. Although these are preliminary results as the number of tested horses is limited, HGS seems to be a specific tool to assess pain in horses. Changes in ear posture and tension in chewing muscles tend to be present in negative emotional states such as fear; therefore, a larger scale study is needed to collect data from the same horses in positive and negative situations, including pain. HighlightsHGS score did not change in any of the four experimental conditions when compared to control.The mean HGS score was low (≤2 out of 12) in all the conditions but one (fear).The scores of stiffly backwards ears and prominent strained chewing muscles tended to be higher in fear than in other conditions.Although this is a pilot study, the results suggest that HGS could be considered a specific indicator for assessing pain in horses.

Management Practices and Milk Production in Dairy Donkey Farms Distributed Over the Italian Territory

Abstract Limited information is available about the actual management characteristics of dairy donkeys in Southern Europe. The aim of the present study is to describe animal management of dairy donkey farms in Italy. Twelve farmers were asked to answer a questionnaire on the management of their animals and their farms distributed over the Italian territory. Six farms grouped their animals in paddocks according to the production characteristics (e.g. lactating, dry, stallions); three farms housed the stallions in single boxes. Most of the visited farms were family run and the number of animals cared for by a single person varied from five to 103 animals. All the farms but one performed mechanical milking with a modified goat milkmaid. Vaccinations were regularly performed only on two farms. All the foals received colostrum and suckled from their own mothers. Foals were nursed by their mother until 6-12 months old. During the separation period before milking, foals were usually (83%) housed in paddocks near their mothers with the possibility of visual and/or tactile contact, however such separations could be for up to 12 hours (17%). Even though the assessed sample was small, considerable differences were seen between farms, likely due to lack of uniform information available for the farmers. The adoption of scientific based procedures is suggested in order to improve both animal welfare and milk quality.

Shelter dogs and their destiny: a retrospective analysis to identify predictive factors : a pilot study

Abstract Consequences of a long stay in dog shelter have particular significance, because, since 1991, the Italian law (14/08/1991, n.281) prohibits euthanasia of dogs unless “they are seriously ill, incurable or proven dangerous”. Caught dogs are recovered for a quarantine period in the sanitary kennel, if they are not returned to the owner, they are moved to shelters until adoption or death. The aim of this work was to identify the relationship between dogs characteristics and their destiny in order to define useful predictors to better manage the stay of dogs in shelter. We analysed the records of all dogs recovered in a sanitary kennel from 2005 to 2010 and subsequently moved to shelters (n=771). Descriptive and inferential statistics were performed in order to investigate possible factors that might affect adoptability of sheltered dogs. The characteristics of dogs that spent more time in PVCS, before being transfer to the CR, were: large size, male gender and age between 11 months and 2 years (p ≤ 0,05). Male dogs spent more days in CR, as opposed to female (p ≤ 0,05). In our sample 76% dogs were adopted, 18% were still in the shelter, 4% died and 2% were euthanized. Female dogs were adopted more than males; young dogs more than elderly (over seven years); sizes medium and small more than large. It would be interesting use the data from this research and complete them with information regarding dogs behaviour, to better manage dogs during the stay in shelter and to improve their relocation.

Can grimace scales estimate the pain status in horses and mice? A statistical approach to identify a classifier

Pain recognition is fundamental for safeguarding animal welfare. Facial expressions have been investigated in several species and grimace scales have been developed as pain assessment tool in many species including horses (HGS) and mice (MGS). This study is intended to progress the validation of grimace scales, by proposing a statistical approach to identify a classifier that can estimate the pain status of the animal based on Facial Action Units (FAUs) included in HGS and MGS. To achieve this aim, through a validity study, the relation between FAUs included in HGS and MGS and the real pain condition was investigated. A specific statistical approach (Cumulative Link Mixed Model, Inter-rater reliability, Multiple Correspondence Analysis, Linear Discriminant Analysis and Support Vector Machines) was applied to two datasets. Our results confirm the reliability of both scales and show that individual FAU scores of HGS and MGS are related to the pain state of the animal. Finally, we identified the optimal weights of the FAU scores that can be used to best classify animals in pain with an accuracy greater than 70%. For the first time, this study describes a statistical approach to develop a classifier, based on HGS and MGS, for estimating the pain status of animals. The classifier proposed is the starting point to develop a computer-based image analysis for the automatic recognition of pain in horses and mice.

Effects of management practices on the welfare of dairy donkeys and risk factors associated with signs of hoof neglect

This Research Paper aimed to investigate donkey welfare in dairy husbandry systems and to identify the potential factors affecting it at animal level. In 2015, twelve dairy donkey farms (19–170 donkeys per farm, mean = 55 ± 48), distributed throughout Italy, were visited. On each farm, the Animal Welfare Indicators (AWIN) welfare assessment protocol for donkeys was used by two trained assessors to evaluate the welfare of animals for a total of 257 donkeys assessed. The protocol includes animal-based indicators that were entered in a digitalised system. Prevalence of different scores at individual, farm and category level were calculated. Farmers were asked to fill out a questionnaire including information regarding the management of donkeys and their final destination. Answers to the questionnaire were then considered as effects in the risk factor analysis whereas the scores of the animal-based indicators were considered as response variables. Most of the donkeys (80·2%) enjoyed a good nutritional status (BCS = 3). 18·7% of donkeys showed signs of hoof neglect such as overgrowth and/or incorrect trimming (Min = 0% Max = 54·5%). Belonging to a given farm or production group influenced many of the welfare indicators. The absence of pasture affected the likelihood of having skin lesions, alopecia, low BCS scores and a less positive emotional state. Lack of routine veterinary visits ( P P

Thermography as a Non-Invasive Measure of Stress and Fear of Humans in Sheep

Simple Summary The ability to non-invasively measure fear is an essential component of animal welfare assessment. Infrared thermography (IRT) was used to obtain images from five Sarda breed ewes during restraint and immediately after two voluntary animal approach (VAA) tests. Our preliminary results suggest that IRT, combined with behavioral data, is a non-invasive technique that can be useful to assess stress and infer about negative emotions in sheep. Abstract No data have been published on the use of infrared thermography (IRT) to evaluate sheep emotions. We assessed whether this technique can be used as a non-invasive measure of negative emotions. Two voluntary animal approach (VAA) tests were conducted (and filmed) on five ewes before and after being restrained. The restraining process was performed by a handler for five minutes. IRT was used during restraint and the VAA tests. The lacrimal caruncle temperature was significantly higher during restraint and in the VAA test after the restraint compared with the VAA test before the restraint (Wilcoxon’s test; p = 0.04). The latency period until first contact was longer in the second VAA test (132 s) than in the first one (60 s). Our preliminary results suggest that IRT, combined with behavioral data, is a non-invasive technique that can be useful to assess stress and infer about negative emotions in sheep.

Welfare assessment on farm: what’s new?

1 Animal welfare, Applied ethology and Sustainable production Lab, Department of Veterinary Medicine, University of Milan, Milan, Italy E-mail: monica.battini@unimi.it; elisabetta.canali@unimi.it; michela.minero@unimi.it; silvana.mattiello@unimi.it; sara.barbieri@unimi.it; valentina.ferrante@unimi.it; emanuela.dallacosta@unimi.it. francesca.dai@unimi.it 2 Neiker-Tecnalia, Arkaute Agrifood Campus, Animal Production, Vitoria-Gasteiz, Spain E-mail: iestevez@neiker.eus, rruiz@neiker.eus, ibeltran@neiker.eus 3 SRUC, Scotland’s Rural College, Edinburgh, United Kingdom E-mail: cathy.dwyer@sruc.ac.uk 4 Department of Preventive Veterinary Medicine and Animal Health School of Veterinary Medicine and Animal Science, University of São Paulo E-mail: Pirassununga, Brasil.adroaldo.zanella@usp.br