Article
Type 2 diabetes, glucose homeostasis and incident atrial fibrillation: the Atherosclerosis Risk in Communities study.
Division of Epidemiology and Community Health, University of Minnesota, 1300 S. 2nd Street, Minneapolis, MN 55454, USA.
Heart (British Cardiac Society) (impact factor:
4.22).
09/2011;
98(2):133-8.
DOI:10.1136/heartjnl-2011-300503
Source: PubMed
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Article: Incidence of chronic atrial fibrillation in general practice and its treatment pattern.
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ABSTRACT: The object of this article was to estimate the incidence rate of chronic atrial fibrillation (AF) in a general practice setting, to identify factors predisposing to its occurrence, and to describe treatment patterns in the year following the diagnosis. The method used was a population-based cohort study using the General Practice Research Database (GPRD) in the UK. We identified patients aged 40-89 years with a first ever recorded diagnosis of AF. The diagnosis was validated through a questionnaire sent to the general practitioners. A nested case-control analysis was performed to assess risk factors for AF using 1,035 confirmed incident cases of chronic AF and a random sample of 5,000 controls from the original source population. The incidence rate of chronic AF was 1.7 per 1,000 person-years, and increased markedly with age. The age adjusted rate ratio among males was 1.4 (95% CI 1.2-1.6). The major risk factors were age, high BMI, excessive alcohol consumption, and prior cardiovascular comorbidity, in particular, valvular heart disease and heart failure. Digoxin was used in close to 70% of the patients, and close to 15% did not receive any antiarrhythmic treatment. Close to 40% did not receive either warfarin or aspirin in the 3 months period after the diagnosis. Among the potential candidates for anticoagulation only 22% of those aged 70 years or older were prescribed warfarin in comparison to 49% among patients aged 40-69 years. Chronic AF is a disease of the elderly, with women presenting a lower incidence rate than men specially in young age. Age, weight, excessive alcohol consumption, and cardiovascular morbidity were the main independent risk factors for AF. Less than half of patients with chronic AF and no contraindications for anticoagulation received warfarin within the first trimester after the diagnosis.Journal of Clinical Epidemiology 05/2002; 55(4):358-63. · 4.27 Impact Factor -
Article: Big men and atrial fibrillation: effects of body size and weight gain on risk of atrial fibrillation in men.
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ABSTRACT: Obesity is a recognized risk factor for atrial fibrillation (AF), partly because of the association between body mass index (BMI) and atrial volume. We aimed to determine whether other factors relating to body size were related to AF. Data were derived from a random population sample of 6903 men (mean age 51.5 years) who underwent a single midlife evaluation as part of the multifactor Swedish Primary Prevention Study. A total of 1253 men (18.2%) had a subsequent hospital discharge diagnosis (principal or secondary) of AF during a maximum follow-up of 34.3 years. Body surface area (BSA) at age 20 (calculated from recalled weight and measured height) was strongly related to subsequent AF (P < 0.0001), as were midlife BMI and weight gain from age 20 to midlife (P < 0.0001). In a Cox regression model which adjusted for midlife BMI, weight gain and other risk factors, hazard ratios (HR) [95% confidence intervals (CI)] for AF for the second, third, and fourth quartile of BSA at age 20, compared with the lowest quartile, were 1.47 (95% CI, 1.22-1.76), 1.66 (95% CI, 1.38-2.00), and 2.22 (95% CI, 1.82-2.70) (P for trend <0.0001). Large body size in youth, in an era when obesity was rare, as well as weight gain from age 20 to midlife, were both independently related to the development of AF. Given the current trends not only for obesity but also for height, a substantial increase in the incidence of AF is likely.European Heart Journal 04/2009; 30(9):1113-20. · 10.48 Impact Factor -
Article: Metabolic syndrome and risk of development of atrial fibrillation: the Niigata preventive medicine study.
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ABSTRACT: The metabolic syndrome consists of a cluster of atherosclerotic risk factors, many of which also have been implicated in the genesis of atrial fibrillation (AF). However, the precise role of the metabolic syndrome in the development of AF is unknown. This prospective, community-based, observational cohort study was based on an annual health check-up program in Japan. We studied 28 449 participants without baseline AF. We used 2 different criteria for the metabolic syndrome--the guidelines of the National Cholesterol Education Program Third Adult Treatment Panel (NCEP-ATP III) and those of the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI)--to study the risk of development of new-onset AF. The metabolic syndrome was present in 3716 subjects (13%) and 4544 subjects (16%) using the NCEP-ATP III and AHA/NHLBI definitions, respectively. During a mean follow-up of 4.5 years, AF developed in 265 subjects (105 women). Among the metabolic syndrome components, obesity (age- and sex-adjusted hazard ratio [HR], 1.64), elevated blood pressure (HR, 1.69), low high-density lipoprotein cholesterol (HR, 1.52), and impaired fasting glucose [corrected] (HR, 1.44 [NCEP-ATP III] and 1.35 [AHA/NHLBI]) showed an increased risk for AF. The association between the metabolic syndrome and AF remained significant in subjects without treated hypertension or diabetes by the NCEP-ATP III definition (HR, 1.78) but not by the AHA/NHLBI definition (HR, 1.28). The metabolic syndrome was associated with increased risk of AF. The metabolic derangements of the syndrome may be important in the pathogenesis of AF.Circulation 04/2008; 117(10):1255-60. · 14.74 Impact Factor
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Keywords
1% point increase
African-Americans
Associations
Atherosclerosis Risk
Cox proportional hazards models
Detailed medical histories
fasting glucose
glucose homeostasis
incident AF
increased risk
methodological challenges
poor glycaemic control
positive linear association
possible confounders
pre-diabetes
previous studies
significant association
study baseline
Type 2 diabetes
undiagnosed diabetes