Identifier: TDX:3188
Authors: Muria Subirats, Eulàlia
Abstract:
INTRODUCTION: Atrial fibrillation (AF) is one of the most frequent arrhythmias worldwide. It is essential to detect AF early; few risk scales are available to detect AF.
OBJECTIVES: To develop a clinical score to stratify the risk of suffering AF among diabetic and hypertensive patients and subsequently apply it to the general population. Also, evaluate this clinical AF risk score and its relationship with the incidence of ischemic stroke and the prevalence of cognitive impairment.
MATERIAL AND METHODS: Observational, community and multicenter study in Terres de l'Ebre, the first study of 8,237 diabetic and hypertensive patients and the second of 46,706 patients ≥ 65 years in the general population. In the first study, a Cox regression was performed to identify predictors of AF and with these a risk scale for AF was created by quartiles. Later, this formula was applied to the population of the second study.
RESULTS: Risk predictors for AF were: CHA2DS2VASc, age, weight, heart rate and female sex. With these, the AF risk scale was created. The highest risk group for AF in the first article was characterized by older age (85.95±6.03, p<0.001), proportion of women (85.2%, p<0.001), incidence density (ID) of AF (22.5/1,000 people/year), ID of stroke (3.5/1,000 people/year), total mortality (22.7%, p<0.001) and lower NNS (9). The highest risk group for AF in the second article was characterized by older age (87.5±7.4, p<0.001), proportion of women (78.2%, p<0.001), ID of AF (17.0/1,000 people/year), ID of stroke (3.8/1,000 people/year), cognitive impairment (16.4%, p<0.001) and lower NNS (19).
CONCLUSIONS: This risk stratification model makes it possible to discriminate those patients with a higher risk of AF in five years of follow-up who are associated with a higher incidence of stroke and higher prevalence of cognitive impairment
Repositori URV