Risk of Atrial Fibrillation, Ischemic Stroke and Cognitive Impairment : Study of a Population Cohort ≥65 Years of Age
Clua Espuny, Jose Luis ![ORCID Identifier](/img/uab/orcid.ico)
(Universitat Rovira i Virgili)
Muria-Subirats, Eulalia ![ORCID Identifier](/img/uab/orcid.ico)
(Institut Català de la Salut)
Ballesta-Ors, Juan ![ORCID Identifier](/img/uab/orcid.ico)
(Universitat Rovira i Virgili)
Lorman-Carbo, Blanca (Institut Català de la Salut)
Clua-Queralt, Josep (Universitat de Lleida)
Palà, Elena ![ORCID Identifier](/img/uab/orcid.ico)
(Hospital Universitari Vall d'Hebron. Institut de Recerca)
Lechuga-Duran, Iñigo (Hospital de Tortosa Verge de la Cinta)
Gentille-Lorente, Delicia (Hospital de Tortosa Verge de la Cinta)
Bustamante, Alejandro
(Hospital Universitari Vall d'Hebron)
Muñoz, Miguel-Angel
(Institut Universitari d'Investigació en Atenció Primària Jordi Gol)
Montaner, Joan
(Hospital Universitari Vall d'Hebron. Institut de Recerca)
Universitat Autònoma de Barcelona
Date: |
2020 |
Abstract: |
To evaluate a model for calculating the risk of AF and its relationship with the incidence of ischemic stroke and prevalence of cognitive decline. It was a multicenter, observational, retrospective, community-based study of a cohort of general population ≥6ct 35 years, between 01/01/2016 and 31/12/2018. Setting: Primary Care. Participants: 46,706 people ≥65 years with an active medical history in any of the primary care teams of the territory, information accessible through shared history and without previous known AF. Interventions: The model to stratify the risk of AF (PI) has been previously published and included the variables sex, age, mean heart rate, mean weight and CHA2DS2VASc score. Main measurements: For each risk group, the incidence density/1000 person/years of AF and stroke, number of cases required to detect a new AF, the prevalence of cognitive decline, Kendall correlation, and ROC curve were calculated. The prognostic index was obtained in 37,731 cases (80. 8%) from lowest (Q1) to highest risk (Q4). A total of 1244 new AFs and 234 stroke episodes were diagnosed. Q3-4 included 53. 8% of all AF and 69. 5% of strokes in men; 84. 2% of all AF and 85. 4% of strokes in women; and 77. 4% of cases of cognitive impairment. There was a significant linear correlation between the risk-AF score and the Rankin score (p < 0. 001), the Pfeiffer score (p < 0. 001), but not NIHSS score (p 0. 150). The overall NNS was 1/19. Risk stratification allows identifying high-risk individuals in whom to intervene on modifiable risk factors, prioritizing the diagnosis of AF and investigating cognitive status. |
Rights: |
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Language: |
Anglès |
Document: |
Article ; recerca ; Versió publicada |
Subject: |
Vascular risk score ;
Atrial arrhythmia ;
Cerebrovascular disease ;
Silent stroke ;
Cognitive decline |
Published in: |
Vascular Health and Risk Management, Vol. 16 (october 2020) , p. 445-454, ISSN 1178-2048 |
DOI: 10.2147/VHRM.S276477
PMID: 33149596
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Record created 2022-02-07, last modified 2024-05-22