A&D have a long history and pedigree in pioneering innovation and the development of blood pressure monitors with leading edge functions. With over 40 years of patient-focused thinking it has made them one of the leading blood pressure manufacturers in the world. Their latest clinically validated digital monitors feature a new 2nd generation IHB/AFib algorithm to detect an irregular rhythm during a measurement.
It is currently available in the latest 2019 versions of the UA-767S AFib+ and UA-767S-W AFib+ from leading distributor PMS Instruments and will be available in more models soon.
It’s the latest development of an Irregular Heartbeat (IHB) detector and algorithm originally pioneered by A&D in 2014. With this feature as well as the existing World Health Organisation (WHO) blood pressure classification index introduced in 2003, A&D monitors really are at the Heart of Healthcare Technology.
Why is the detection of Atrial Fibrillation important?
AFib is an irregular heart beat that can lead to strokes and other heart related conditions.
The NHS long term plan (NHSLTP) recently published ambitious targets for Atrial Fibrillation (AFib) and high Blood Pressure detection over the next 10 years.
For Atrial Fibrillation the targets are
That 85% of the expected number of people with AF are detected by 2029
That 90% of people with AF who are known to be at high risk of stroke to be adequately anti-coagulated by 2029.
The A&D UA 767S Afib+ and UA-767S-W Afib+ with %IHB/AFib detection could help with these aims.
The monitors classify the %IHB into 4 different grades showing how often an IHB has been detected during the measurement and illustrated by an icon.
0% no indication
1 – 9% grade 1
10 – 24% grade 2
25 – 100% grade 3
This feature is for monitoring purposes only and we recommend contacting your doctor if the grade is high.
This new feature has been clinically validated and published in the Journal of Clinical Hypertension J Clin Hypertens. 2017;19:1143–1147 Tomoyuki Kabutoya et al. The paper concludes that the new algorithm had high diagnostic accuracy for detecting AF and a low false-positive rate.
