Incidence and predictors of atrial fibrillation progression: A systematic review and meta-analysis

被引:54
|
作者
Blum, Steffen [1 ,2 ,3 ]
Meyre, Pascal [1 ,2 ]
Aeschbacher, Stefanie [1 ,2 ]
Berger, Sebastian [1 ,2 ]
Auberson, Chloe [2 ]
Briel, Matthias [4 ,5 ]
Osswald, Stefan [1 ,2 ]
Conen, David [1 ,2 ,6 ]
机构
[1] Univ Hosp Basel, Dept Med, Div Cardiol, Basel, Switzerland
[2] Univ Hosp Basel, Cardiovasc Res Inst Basel, Basel, Switzerland
[3] Univ Hosp Basel, Dept Med, Div Internal Med, Basel, Switzerland
[4] Univ Hosp Basel, Basel Inst Clin Epidemiol & Biostat, Dept Clin Res, Basel, Switzerland
[5] McMaster Univ, Dept Hlth Res Methods Evidence & Impact, Hamilton, ON, Canada
[6] McMaster Univ, Populat Hlth Res Inst, Hamilton, ON, Canada
关键词
Atrial fibrillation; Meta-analysis; Paroxysmal atrial fibrillation; Persistent atrial fibrillation; Progression; BLOOD-PRESSURE; RISK; REGISTRY; STROKE; IMPACT;
D O I
10.1016/j.hrthm.2018.10.022
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND More sustained forms of atrial fibrillation (AF) are less amenable to treatment and associated with worse outcomes, but the incidence and predictors of AF progression are not well defined. OBJECTIVE The purpose of this study was to perform a systematic review and meta-analysis assessing the incidence and predictors of AF progression. METHODS PubMed, EMBASE, and the Cochrane Library were searched from inception to August 2017. AF progression was defined as progression from paroxysmal to persistent/permanent AF or as progression from persistent to permanent AF. Random effect models were used to calculate pooled cumulative incidence rates. Predictors related to between-study variability were assessed using meta-regression analyses. RESULTS We identified 47 studies with 27,266 patients who were followed for 105,912 patient-years. The pooled incidence of AF progression was 8.1 per 100 patient-years of follow-up (95% confidence interval [CI] 7.1-9.1 per 100 patient-years of follow-up; I-2 = 98%; P<.0001). The incidence was 7.1 per 100 patient-years of follow-up (95% CI 6.2-8.0 per 100 patient-years of follow-up; across 42 studies) for progression from paroxysmal to non-paroxysmal AF as compared with 18.6 per 100 patient-years of follow-up (95% CI 8.9-28.3 per 100 patient-years of follow-up; across 5 studies) for progression from persistent to permanent AF. Higher age (beta=5.4; 95% CI 1.4-9.4; P=.01; R-2=14.3%) and the prevalence of hypertension (beta = 5.2; 95% CI 1.0-9.4; P =.02; R-2 = 18.0%) were associated with a higher AF progression rate. Follow-up duration (beta = -4.5; 95% CI -5.8 to -3.3; P< .0001; R-2 = 68.0%) and the prevalence of paroxysmal AF (beta=-9.5; 95% CI -18.7 to -0.3; P =.04; R-2 = 4.4%) were inversely associated with AF progression. Together these variables explained 73.8% of the observed between-study heterogeneity. CONCLUSION The incidence of AF progression appears to be relatively low, and the incidence seems to decrease with longer follow-up duration. Age, hypertension, baseline AF type, and follow-up duration explained a high percentage of the observed between-study heterogeneity.
引用
收藏
页码:502 / 510
页数:9
相关论文
共 50 条
  • [1] The progression in atrial fibrillation patients with COPD: a systematic review and meta-analysis
    Chen, Xiaoying
    Lin, Meiling
    Wang, Wei
    ONCOTARGET, 2017, 8 (60) : 102420 - 102427
  • [2] A systematic review and meta-analysis of the prevalence, incidence, and predictors of atrial fibrillation in cardiac sarcoidosis
    Sama, Carlson
    Fongwen, Noah T.
    Chobufo, Muchi Ditah
    Hamirani, Yasmin S.
    Mills, James D.
    Roberts, Melissa
    Greathouse, Mark
    Zeb, Irfan
    Kazienko, Brian
    Balla, Sudarshan
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2023, 391
  • [3] Associations of anemia with stroke, bleeding, and mortality in atrial fibrillation: A systematic review and meta-analysis
    Tu, Samuel J.
    Hanna-Rivero, Nicole
    Elliott, Adrian D.
    Clarke, Nicholas
    Huang, Sonia
    Pitman, Bradley M.
    Gallagher, Celine
    Linz, Dominik
    Mahajan, Rajiv
    Lau, Dennis H.
    Sanders, Prashanthan
    Wong, Christopher X.
    JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, 2021, 32 (03) : 686 - 694
  • [4] Physical activity and incidence of atrial fibrillation: A systematic review and meta-analysis
    Kwok, Chun Shing
    Anderson, Simon G.
    Myint, Phyo K.
    Mamas, Mamas A.
    Loke, Yoon K.
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2014, 177 (02) : 467 - 476
  • [5] Biomarkers as predictors of recurrence of atrial fibrillation post ablation: an updated and expanded systematic review and meta-analysis
    Boyalla, Vennela
    Harling, Leanne
    Snell, Alice
    Kralj-Hans, Ines
    Barradas-Pires, Ana
    Haldar, Shouvik
    Khan, Habib R.
    Cleland, John G. F.
    Athanasiou, Thanos
    Harding, Sian E.
    Wong, Tom
    CLINICAL RESEARCH IN CARDIOLOGY, 2022, 111 (06) : 680 - 691
  • [6] Systematic review and meta-analysis of incidence, prevalence and outcomes of atrial fibrillation in patients on dialysis
    Zimmerman, Deborah
    Sood, Manish M.
    Rigatto, Claudio
    Holden, Rachel M.
    Hiremath, Swapnil
    Clase, Catherine M.
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2012, 27 (10) : 3816 - 3822
  • [7] Association between psoriasis and atrial fibrillation: A Systematic review and meta-analysis
    Jain, Hritvik
    Odat, Ramez M.
    Goyal, Aman
    Jain, Jyoti
    Dey, Debankur
    Ahmed, Mushood
    Wasir, Amanpreet Singh
    Passey, Siddhant
    Gole, Shrey
    CURRENT PROBLEMS IN CARDIOLOGY, 2024, 49 (06)
  • [8] Systematic review and meta-analysis of mortality and digoxin use in atrial fibrillation
    Qureshi, Waqas
    O'Neal, Wesley T.
    Soliman, Elsayed Z.
    Al-Mallah, Mouaz H.
    CARDIOLOGY JOURNAL, 2016, 23 (03) : 333 - 343
  • [9] Association of diabetes with atrial fibrillation types: a systematic review and meta-analysis
    Alijla, Fadi
    Buttia, Chepkoech
    Reichlin, Tobias
    Razvi, Salman
    Minder, Beatrice
    Wilhelm, Matthias
    Muka, Taulant
    Franco, Oscar H.
    Bano, Arjola
    CARDIOVASCULAR DIABETOLOGY, 2021, 20 (01)
  • [10] Incidence and Predictors of Atrial Fibrillation Progression
    Blum, Steffen
    Aeschbacher, Stefanie
    Meyre, Pascal
    Zwimpfer, Leon
    Reichlin, Tobias
    Beer, Jurg H.
    Ammann, Peter
    Auricchio, Angelo
    Kobza, Richard
    Erne, Paul
    Moschovitis, Giorgio
    Di Valentino, Marcello
    Shah, Dipen
    Schlapfer, Jurg
    Henz, Selina
    Meyer-Zurn, Christine
    Roten, Laurent
    Schwenkglenks, Matthias
    Sticherling, Christian
    Kuhne, Michael
    Osswald, Stefan
    Conen, David
    Bonati, Leo
    Frohlich, Lorin
    Gugganig, Rebecca
    Kofler, Thomas
    Krisai, Philipp
    Monsch, Andreas U.
    Mueller, Christian
    Pudenz, Christiane
    Reddiess, Philipp
    Repilado, Javier Ruperti
    Schweizer, Aleksandra
    Springer, Anne
    Steiner, Fabienne
    Stempfel, Samuel
    Szucs, Thomas
    van der Stouwe, Jan
    Voellmin, Gian
    Aujesky, Drahomir
    Fischer, Urs
    Fuhrer, Juerg
    Jung, Simon
    Mattle, Heinrich
    Adam, Luise
    Aubert, Carole Elodie
    Feller, Martin
    Schneider, Claudio
    Loewe, Axel
    Moutzouri, Elisavet
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2019, 8 (20):