Plateauing atrial fibrillation burden in acute ischemic stroke admissions in the United States from 2010 to 2020

被引:2
作者
Otite, Fadar Oliver [1 ]
Patel, Smit D. [2 ]
Aneni, Ehimen [3 ]
Lamikanra, Oluwatomi [4 ]
Wee, Claribel [1 ]
Albright, Karen C. [1 ]
Burke, Devin [1 ]
Latorre, Julius Gene [1 ]
Morris, Nicholas Allen [5 ]
Anikpezie, Nnabuchi [6 ]
Singla, Amit [7 ]
Sonig, Ashish [7 ]
Kamel, Hooman [8 ,9 ]
Khandelwal, Priyank [7 ]
Chaturvedi, Seemant [5 ]
机构
[1] SUNY Upstate Med Univ, Dept Neurol, 750 East Adams St, Syracuse, NY 13210 USA
[2] Univ Connecticut, Dept Neurosurg, Hartford, CT USA
[3] Yale Univ, Sch Med, Dept Internal Med, Sect Cardiovasc Med, New Haven, CT USA
[4] Springfield Clin, Dept Crit Care, Springfield, IL USA
[5] Univ Maryland, Sch Med, Dept Neurol, Baltimore, MD USA
[6] Univ Mississippi, Med Ctr, Dept Populat Hlth, Jackson, MS USA
[7] Rutgers State Univ, Dept Neurosurg, Newark, NJ USA
[8] Weill Cornell Med, Feil Family Brain & Mind Res Inst, Clin & Translat Neurosci Unit, New York, NY USA
[9] Weill Cornell Med, Dept Neurol, New York, NY USA
关键词
Stroke subtypes; risk factors; prevention; ischemic stroke; epidemiology; cardio-aortic embolism; RISK; SEX;
D O I
10.1177/17474930231222163
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Utilization of oral anticoagulants for acute ischemic stroke (AIS) prevention in patients with atrial fibrillation (AF) increased in the United States over the last decade. Whether this increase has been accompanied by any change in AF prevalence in AIS at the population level remains unknown. The aim of this study is to evaluate trends in AF prevalence in AIS hospitalizations in various age, sex, and racial subgroups over the last decade. Methods: We used data contained in the 2010-2020 National Inpatient Sample to conduct a serial cross-sectional study. Primary AIS hospitalizations with and without comorbid AF were identified using International Classification of Diseases Codes. Joinpoint regression was used to compute annualized percentage change (APC) in prevalence and to identify points of change in prevalence over time. Results: Of 5,190,148 weighted primary AIS hospitalizations over the study period, 25.1% had comorbid AF. The age- and sex-standardized prevalence of AF in AIS hospitalizations increased across the entire study period 2010-2020 (average APC: 1.3%, 95% confidence interval (CI): 0.8-1.7%). Joinpoint regression showed that prevalence increased in the period 2010-2015 (APC: 2.8%, 95% CI: 1.9-3.9%) but remained stable in the period 2015-2020 (APC: -0.3%, 95% CI: -1.0 to 1.9%). Upon stratification by age and sex, prevalence increased in all age/sex groups from 2010 to 2015 and continued to increase throughout the entire study period in hospitalizations in men 18-39 years (APC: 4.0%, 95% CI: 0.2-7.9%), men 40-59 years (APC: 3.4%, 95% CI: 1.9-4.9%) and women 40-59 years (APC: 4.4%, 95% CI: 2.0-6.8%). In contrast, prevalence declined in hospitalizations in women 60-79 (APC: -1.0%, 95% CI: -0.5 to -1.5%) and women > 80 years over the period 2015-2020 but plateaued in hospitalizations in similar-aged men over the same period. Conclusion: AF prevalence in AIS hospitalizations in the United States increased over the period 2010-2015, then plateaued over the period 2015-2020 due to declining prevalence in hospitalizations in women > 60 years and plateauing prevalence in hospitalizations in men >= 60 years.
引用
收藏
页码:547 / 558
页数:12
相关论文
共 36 条
  • [1] The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement
    Benchimol, Eric I.
    Smeeth, Liam
    Guttmann, Astrid
    Harron, Katie
    Moher, David
    Petersen, Irene
    Sorensen, Henrik T.
    von Elm, Erik
    Langan, Sinead M.
    [J]. PLOS MEDICINE, 2015, 12 (10)
  • [2] Butala NM, 2021, CIRCULATION, V144
  • [3] Trends and Factors Associated With Concordance Between International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification Codes and Stroke Clinical Diagnoses
    Chang, Tiffany E.
    Tong, Xin
    George, Mary G.
    King, Sallyann M. Coleman
    Yin, Xiaoping
    O'Brien, Suzanne
    Ibrahim, Ghada
    Liskay, Alice
    Wiltz, Jennifer L.
    [J]. STROKE, 2019, 50 (08) : 1959 - 1967
  • [4] A 10 year study of hospitalized atrial fibrillation-related stroke in England and its association with uptake of oral anticoagulation
    Cowan, J. Campbell
    Wu, Jianhua
    Hall, Marlous
    Orlowski, Andi
    West, Robert M.
    Gale, Chris P.
    [J]. EUROPEAN HEART JOURNAL, 2018, 39 (32) : 2975 - 2983
  • [5] A diagnostic accuracy study validating cardiovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data Value Project
    Cozzolino, Francesco
    Montedori, Alessandro
    Abraha, Iosief
    Eusebi, Paolo
    Grisci, Chiara
    Heymann, Anna Julia
    Lombardo, Guido
    Mengoni, Anna
    Orso, Massimiliano
    Ambrosio, Giuseppe
    [J]. PLOS ONE, 2019, 14 (07):
  • [6] Real-world data in primary care: validation of diagnosis of atrial fibrillation in primary care electronic medical records and estimated prevalence among consulting patients'
    De Burgos-Lunar, C.
    Del Cura-Gonzalez, I
    Cardenas-Valladolid, J.
    Gomez-Campelo, P.
    Abanades-Herranz, J. C.
    Lopez-de Andres, A.
    Sotos-Prieto, M.
    Iriarte-Campo, V
    Salinero-Fort, M. A.
    [J]. BMC PRIMARY CARE, 2023, 24 (01):
  • [7] Incident Atrial Fibrillation Among Asians, Hispanics, Blacks, and Whites
    Dewland, Thomas A.
    Olgin, Jeffrey E.
    Vittinghoff, Eric
    Marcus, Gregory M.
    [J]. CIRCULATION, 2013, 128 (23) : 2470 - 2477
  • [8] Time trends in atrial fibrillation-related stroke during 2001-2020 in Sweden: a nationwide, observational study
    Ding, Mozhu
    Ebeling, Marcus
    Ziegler, Louise
    Wennberg, Alexandra
    Modig, Karin
    [J]. LANCET REGIONAL HEALTH-EUROPE, 2023, 28
  • [9] Comorbidity measures for use with administrative data
    Elixhauser, A
    Steiner, C
    Harris, DR
    Coffey, RN
    [J]. MEDICAL CARE, 1998, 36 (01) : 8 - 27
  • [10] Changing patterns of use of implantable cardiac monitors from 2011 to 2018 for a large commercially-insured US population
    Ellenbogen, Michael, I
    Andersen, Kathleen M.
    Marine, Joseph E.
    Wang, Nae-Yuh
    Segal, Jodi B.
    [J]. MEDICINE, 2021, 100 (51) : E28356