Predicting survival in atrial fibrillation:results from SAGE-AF
David C Parish1
Catarina I Kiefe2
Jordy Mehawej3
Edith Mensah Otabil3
Carly N Beniek3
Francis C Dane4
1.Department of Medicine,Mercer University School of Medicine,Macon,GA,USA2.Department of Population and Quantitative Health Sciences,University of Massachusetts Chan Medical School,Worcester,MA,USA3.Department of Medicine,University of Massachusetts Chan Medical School,Worcester,MA,USA4.Department of Psychology,Rad-ford University,Roanoke,VA,USA
摘要：Background Using Systematic Assessment of Geriatric Elements in Atrial Fibrillation(SAGE-AF)data,determine how well the rich mix of demographic,clinical history,geriatric assessments,and clinically adjudicated events can predict two-year survival.
Methods Subjects were recruited from participating outpatient practices if they had non-valvular AF,were 65 or over with CHA2DS2-VASc scores of at least 2,and were candidates for anticoagulation.Demographics,clinical history,and geriatric qualit-ies of life were assessed by interview and medical records review using standardized protocols and repeated at one and two years.Events identified were abstracted and submitted for adjudication using standard definitions of events and categories.Non-mortality event categories included hospitalizations(cardiovascular,bleeding,other),bleeding(major,clinically relevant non-ma-jor,minor),and seven major adverse cardiovascular events.
Results The 1245 subjects experienced 1960 events,primarily hospitalizations(935)and/or bleeding(817);114 subjects(9.2%)died during two years of follow-up.Events initially abstracted to more than one category(172)were combined,resulting in 1788 unique incidents.Most subjects had zero or one event(69%)and fewer than 7%had more than 3 types.Most variables were signi-ficant in bivariate analysis.Using multiple logistic regression with two-year survival as the outcome variable,the best-fit model included event number and type,number of unique incidents,and number of bleeding events(R2=0.511,C=93.1)with sensitiv-ity=97.9%and specificity=44.7%.
Conclusions Two-year survival was high.This model,if validated,could have major implications for treatment of patients with AF.Patients in the large group with no or one event are at very low risk of death(under 2%).The small group with high risk for further complications,including death,deserve reassessment to determine if this trajectory can be altered.
机标关键词：fromatrialfibrillationpredictingresultssage-afsurvival
论文发表日期：2025-03-28
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：7( 344-350 )