Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT06360185 |
Other study ID # |
Asthma V2 October 2023 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
May 1, 2024 |
Est. completion date |
December 1, 2025 |
Study information
Verified date |
March 2024 |
Source |
Norfolk and Norwich University Hospitals NHS Foundation Trust |
Contact |
Sadiyah Hand, FRPC |
Phone |
01603 289612 |
Email |
sadiyah.hand[@]nnuh.nhs.uk |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Study team will obtain a list of all patients who have been seen in A+E over the past 6 years
with a discharge diagnosis of asthma. Their history will be reviewed from their A+E notes.
Team will obtain weight and height from Electronic prescribing tool and will obtain
compliance information and past medical history from participant's GP records. Team will use
participant's postcode to word out socio economic status quintile using office of national
statistics tool. The following information will be taken from hospital documentation and from
GP records.
Description:
1. How many previous admissions in past one year (12 months)
2. How many presentations to A+E in previous one year (12 months)
3. Diagnosis not confirmed therefore not on any ICS
4. Poor compliance (less than 75% of ICS and/or LABA and/or LAMA and/or leukotriene
prescriptions picked up in past year)
5. Recent presentation and maintenance therapy not increased (primary care or secondary
care issue)
6. Is patient overweight BMI
7. Is patient on hormonal therapy, OCP, HRT, male hormones
8. Social class quintile from post code of address using ONS calculator
9. Ethnically diverse (see appendix)
10. First Eosinophil count on index admission
11. Highest eosinophil count in past (ever) and date
12. Treatment for diabetes type 2
13. Treatment for diabetes type 1
14. Treatment for hypertension
15. Smoker ever (pack year) when gave up__________
After obtaining this information study team will use simple statistical methods such as
frequency and associations with confidence intervals to investigate which factors are
associated with frequency of presentation to A+E. They will ascertain the frequency of
patients who are on maximum therapy and may benefit from biological therapy, especially if
they have raised eosinophils in the past year.