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Cyclathon for medical detection dogs

24 hour cyclathon: Some of the staff who took part
24 hour cyclathon: Some of the staff who took part
24 hour cyclathon: Some of the staff who took part

A 24 HOUR cyclathon at Carmarthen Veterinary Centre saw staff cycling through the night to raise money for dogs which assist people with life-threatening conditions.

The cyclathon was launched at 6pm on September 20, in the waiting room of the centre, and staff cycled in relays through the night and day – providing much amusement to visiting clients!

The team of vets, nurses and support staff successfully completed the challenge at 6pm on September 21, having clocked up an impressive 644.2 kilometres on the exercise bike.

Despite being slightly saddle-sore, everyone who took part enjoyed the event, which raised a total of £566.25 from the cyclathon and from collections. Money was also raised with the help of lucky dip cow Maybelline, who was present at Cothi Bridge Show, Gower Show and Llandyfaelog Show.

Practice Manager Penny Ayling told The Herald that their parent company, CVS (UK) Limited, is hoping to raise over £40,000 for Medical Detection Dogs, with all the subsidiary veterinary practices taking part in fundraising events. A cheque for the total sum raised will be presented to the charity at the annual CVS Conference in October.

“This amazing charity, which receives no government funding, trains Medical Alert dogs to assist people with life threatening conditions such as Type 1 Diabetes and Addison’s Crisis,” she added.

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“The dogs are trained to detect minute scent changes, such as when a person’s blood sugar levels change, and are able to alert the sufferer before a crisis occurs.”

In addition, Medical Detection Dogs are training Bio Detection Dogs and are working with the NHS on research into early detection of cancer. Like the Medical Alert Dogs, the Bio Detection Dogs are trained to sniff out minute changes which occur when certain types of cancer are present in the body. This early detection could save many, many lives in the future.

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