![]() ![]() The population in Region Halland aged 65 years and above and free from AF will be randomized into two halves, creating a general cohort and an RPM cohort. Then in the next step for the prospective study, applying the RPM on the RPM cohort, the at-risk group will be extracted for randomization step, using the recommended cut-off value. Specifically, we are looking to calibrate the intercept (α) for the logistic regression where we already have the 13 odd ratios for the 13 risk factors from the original study. We will include patients ≥45 years of age at index date, which is the first date of an AF diagnosis recorded in the observation period and a random pseudo index date during the observation period for the control group, to follow the original study. ![]() To calibrate the BMS/Pfizer risk prediction model (RPM), we will extract two cohorts retrospectively: the AF cohort with an AF diagnosis (patients with a record of incident AF diagnosis between January 1, 2016, and Decemas an observation period), and the control cohort without any AF diagnosis in their history. ![]() Study Population: Residents in Region Halland age 65 and above.ĭata Collection Methods: Electronic Health Records from Region Halland and 14-days continuous ECG recording using an ECG patch. Objective(s): To compare the yield of atrial fibrillation (AF) using 14-days continuous ECG in a population aged ≥ 65 years with an increased risk for AF incidence according to the risk prediction model compared with standard of care in Region Halland. Condition or diseaseĭiagnostic Test: Risk prediction model Diagnostic Test: 14-days continuous ECG monitoring The main objective of this study is to test the hypothesis that AF screening with 14-days continuous ECG monitoring in high-risk individuals identified with a risk prediction model is more effective than routine care in identifying patients with undetected AF.Įffectively detecting AF among patients with risk factors for ischaemic stroke has the potential to decrease mortality and morbidity, stroke burden and costs for the society as a whole. Screening is recommended in European guidelines, however the most suitable population and the most suitable device for AF detection remain to be defined. It is important to find patients with AF and additional risk factors for stroke in order to initiate oral anticoagulation treatment, which can reduce the risk of an ischaemic stroke by 60-70%. As AF is often asymptomatic there are many undetected cases. AF increases the risk of ischaemic stroke fivefold and accounts for almost one-third of all strokes. Why Should I Register and Submit Results?Ītrial fibrillation (AF) is the most common clinical arrhythmia and the prevalence increases with age. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |