Raya Elfadel Kheirbek1,2, Ali Fokar1, Hans J Moore1,3,4, Nawar Shara5, Rami Doukky6,7, Ross D Fletcher1,3. 1. Washington DC Veterans Affairs Medical Center, Washington, DC. 2. George Washington University, School of Medicine and Health Sciences, Washington, DC. 3. Georgetown University School of Medicine, Washington, DC. 4. Uniformed Services University of the Health Sciences, Bethesda, Maryland. 5. MedStar Health Research Institute, Hyattsville, Maryland. 6. Division of Cardiology, Cook County Health and Hospitals System, Chicago, Illinois. 7. Division of Cardiology, Rush University Medical Center, Chicago, Illinois.
Abstract
BACKGROUND: Age is the strongest predictor of atrial fibrillation (AF), yet little is known about AF incidence in the oldest old. HYPOTHESIS: AF incidence declines after age 90 years, and morbidity is compressed into a brief period at the end of life. METHODS: In this retrospective, longitudinal cohort study of patients (born 1905-1935), we examined cumulative lifetime incidence of AF and its impact on mortality. Data included records from 1 062 610 octogenarians, 317 161 nonagenarians, and 3572 centenarians. Kaplan-Meier curves were used to estimate cumulative incidence of AF by age group, incidence rates were compared using log-rank tests, and Cox proportional hazards model was used to estimate unadjusted hazard ratios. The primary outcome was AF incidence at age > 80 years; the secondary outcome was mortality. RESULTS: The cumulative AF incidence rate was 5.0% in octogenarians, 5.4% in nonagenarians, and 2.3% in centenarians. Octogenarians and nonagenarians had a higher risk of AF incidence compared to centenarians (adjusted hazard ratio 8.74, 95% confidence interval [CI]: 6.31-12.04; and 2.98, 95% CI: 2.17-4.1, respectively). The lowest hazard ratio for mortality in patients with AF compared to those without was 2.3 (95% CI: 2.3-2.4) in patients who were on antiplatelet and anticoagulant medication and had a score of 0 on the Elixhauser comorbidity index score. CONCLUSIONS: Although AF incidence increased with age, being a centenarian was associated with reduced incidence and compression of morbidity. Patients with AF had a higher adjusted mortality rate. However, data suggest that a regimen of anticoagulants and antiplatelets may reduce risk of mortality in patients over 80 with an AF diagnosis.
BACKGROUND: Age is the strongest predictor of atrial fibrillation (AF), yet little is known about AF incidence in the oldest old. HYPOTHESIS: AF incidence declines after age 90 years, and morbidity is compressed into a brief period at the end of life. METHODS: In this retrospective, longitudinal cohort study of patients (born 1905-1935), we examined cumulative lifetime incidence of AF and its impact on mortality. Data included records from 1 062 610 octogenarians, 317 161 nonagenarians, and 3572 centenarians. Kaplan-Meier curves were used to estimate cumulative incidence of AF by age group, incidence rates were compared using log-rank tests, and Cox proportional hazards model was used to estimate unadjusted hazard ratios. The primary outcome was AF incidence at age > 80 years; the secondary outcome was mortality. RESULTS: The cumulative AF incidence rate was 5.0% in octogenarians, 5.4% in nonagenarians, and 2.3% in centenarians. Octogenarians and nonagenarians had a higher risk of AF incidence compared to centenarians (adjusted hazard ratio 8.74, 95% confidence interval [CI]: 6.31-12.04; and 2.98, 95% CI: 2.17-4.1, respectively). The lowest hazard ratio for mortality in patients with AF compared to those without was 2.3 (95% CI: 2.3-2.4) in patients who were on antiplatelet and anticoagulant medication and had a score of 0 on the Elixhauser comorbidity index score. CONCLUSIONS: Although AF incidence increased with age, being a centenarian was associated with reduced incidence and compression of morbidity. Patients with AF had a higher adjusted mortality rate. However, data suggest that a regimen of anticoagulants and antiplatelets may reduce risk of mortality in patients over 80 with an AF diagnosis.
Authors: David Leibowitz; Jonathan Koslowsky; Dan Gilon; Jeremy M Jacobs; Irit Stessman-Lande; Jochanan Stessman Journal: Clin Cardiol Date: 2017-12-16 Impact factor: 2.882
Authors: Jason L Sanders; Ryan L Minster; M Michael Barmada; Amy M Matteini; Robert M Boudreau; Kaare Christensen; Richard Mayeux; Ingrid B Borecki; Qunyuan Zhang; Thomas Perls; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2013-08-02 Impact factor: 6.053
Authors: Jared W Magnani; Na Wang; Emelia J Benjamin; Melissa E Garcia; Douglas C Bauer; Javed Butler; Patrick T Ellinor; Stephen Kritchevsky; Gregory M Marcus; Anne Newman; Caroline L Phillips; Hiroyuki Sasai; Suzanne Satterfield; Lisa M Sullivan; Tamara B Harris Journal: Circ Arrhythm Electrophysiol Date: 2016-05
Authors: Raya Elfadel Kheirbek; Ali Fokar; Hans J Moore; Nawar Shara; Rami Doukky; Ross D Fletcher Journal: Clin Cardiol Date: 2018-05-12 Impact factor: 2.882