scholarly journals Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study

BMJ ◽  
2018 ◽  
pp. k1453 ◽  
Author(s):  
Laila Staerk ◽  
Biqi Wang ◽  
Sarah R Preis ◽  
Martin G Larson ◽  
Steven A Lubitz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Cohort Study ◽  
Longitudinal Data ◽  
Framingham Heart Study ◽  
Lifetime Risk ◽  
Heart Study

scholarly journals 50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort study

The Lancet ◽  
2015 ◽  
Vol 386 (9989) ◽  
pp. 154-162 ◽  
Author(s):  
Renate B Schnabel ◽  
Xiaoyan Yin ◽  
Philimon Gona ◽  
Martin G Larson ◽  
Alexa S Beiser ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Cohort Study ◽  
Framingham Heart Study ◽  
Heart Study ◽  
Incidence Risk

scholarly journals Trajectories of Risk Factors and Risk of New-Onset Atrial Fibrillation in the Framingham Heart Study

Hypertension ◽  
2016 ◽  
Vol 68 (3) ◽  
pp. 597-605 ◽  
Author(s):  
Faisal Rahman ◽  
Xiaoyan Yin ◽  
Martin G. Larson ◽  
Patrick T. Ellinor ◽  
Steven A. Lubitz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Framingham Heart Study ◽  
Heart Study ◽  
Onset Atrial Fibrillation ◽  
New Onset

scholarly journals Does Lifestyle Impact Risk, Burden and Symptomatology of Atrial Fibrillation?

2018 ◽  
Vol 13 (SP1) ◽  
Author(s):  
Ratika Parkash
Keyword(s):  
Atrial Fibrillation ◽  
General Population ◽  
Mortality Risk ◽  
Framingham Heart Study ◽  
Aging Population ◽  
Lifetime Risk ◽  
Significant Morbidity ◽  
Heart Study ◽  
Impact Risk

Atrial fibrillation is the most common sustained arrhythmia, affecting 1-2% of the general population and 8% of patients over the age of 80 years.  The lifetime risk for development of AF is 26% for men and 23% for women.  It is associated with significant morbidity, mortality and cost, but also with an increase in mortality and a six-fold risk of stroke.  The Framingham heart study showed that AF was associated with a 1.5 to1.9 fold mortality risk after adjustment for the preexisting CV conditions with which AF was related. The Heart and Stroke Foundation estimates that 350 000 Canadians are living with atrial fibrillation, and that this is increasing due to Canada’s aging population.  

scholarly journals Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study

The Lancet ◽  
2009 ◽  
Vol 373 (9665) ◽  
pp. 739-745 ◽  
Author(s):  
Renate B Schnabel ◽  
Lisa M Sullivan ◽  
Daniel Levy ◽  
Michael J Pencina ◽  
Joseph M Massaro ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cohort Study ◽  
Risk Score ◽  
Framingham Heart Study ◽  
Community Based ◽  
Heart Study

scholarly journals Geographical variation and clustering are found in atrial fibrillation beyond socioeconomic differences: a Danish cohort study, 1987–2015

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Kirstine Wodschow ◽  
Kristine Bihrmann ◽  
Mogens Lytken Larsen ◽  
Gunnar Gislason ◽  
Annette Kjær Ersbøll
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Cohort Study ◽  
Incidence Rate ◽  
Socioeconomic Position ◽  
Geographical Variation ◽  
Incidence Rates ◽  
Socioeconomic Differences ◽  
Individual Level ◽  
Geographical Variations

Abstract Background The prevalence and incidence rate of atrial fibrillation (AF) increase worldwide and AF is a risk factor for more adverse cardiovascular diseases including stroke. Approximately 44% of AF cases cannot be explained by common individual risk factors and risk might therefore also be related to the environment. By studying geographical variation and clustering in risk of incident AF adjusted for socioeconomic position at an individual level, potential neighbourhood risk factors could be revealed. Methods Initially, yearly AF incidence rates 1987–2015 were estimated overall and stratified by income in a register-based cohort study. To examine geographical variation and clustering in AF, we used both spatial scan statistics and a hierarchical Bayesian Poisson regression analysis of AF incidence rates with random effect of municipalities (n = 98) in Denmark in 2011–2015. Results The 1987–2015 cohort included 5,453,639 individuals whereof 369,800 were diagnosed with an incident AF. AF incidence rate increased from 174 to 576 per 100,000 person-years from 1987 to 2015. Inequality in AF incidence rate ratio between highest and lowest income groups increased from 23% in 1987 to 38% in 2015. We found clustering and geographical variation in AF incidence rates, with incidence rates at municipality level being up to 34% higher than the country mean after adjusting for socioeconomic position. Conclusions Geographical variations and clustering in AF incidence rates exist. Compared to previous studies from Alberta, Canada and the United States, we show that geographical variations exist in a country with free access to healthcare and even when accounting for socioeconomic differences at an individual level. An increasing social inequality in AF was seen from 1987 to 2015. Therefore, when planning prevention strategies, attention to individuals with low income should be given. Further studies focusing on identification of neighbourhood risk factors for AF are needed.

Abstract MP74: Long Term Risk-Factor Profiles for Chronic Kidney Disease in the Framingham Heart Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Gearoid M McMahon ◽  
Sarah R Preis ◽  
Shih-Jen Hwang ◽  
Caroline S Fox
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Risk Factor ◽  
Kidney Disease ◽  
Framingham Heart Study ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Standard Deviation Increase ◽  
Heart Study ◽  
Increased Risk

Background: Chronic Kidney Disease (CKD) is an important public health issue and is associated with an increased risk of cardiovascular disease. Risk factors for CKD are well established, but most are typically assessed at or near the time of CKD diagnosis. Our hypothesis was that risk factors for CKD are present earlier in the course of the disease. We compared the prevalence of risk factors between CKD cases and controls at time points up to 30 years prior to CKD diagnosis. Methods: Participants were drawn from the Framingham Heart Study Offspring cohort. CKD was defined as an estimated glomerular filtration rate of ≤60ml/min/1.73m2. Incident CKD cases occurring at examination cycles 6, 7, and 8 were age- and sex-matched 1:2 to controls. Risk factors including systolic blood pressure (SBP), hypertension, lipids, diabetes, smoking status, body mass index (BMI) and dipstick proteinuria were measured at the time of CKD diagnosis and 10, 20 and 30 years prior. Logistic regression models, adjusted for age, sex, and time period, were constructed to compare risk factor profiles at each time point between cases and controls Results: During follow-up, 441 new cases of CKD were identified and these were matched to 882 controls (mean age 69.2 years, 52.4% women). Up to 30 years prior to CKD diagnosis, those who ultimately developed CKD were more likely to have hypertension (OR 1.74, CI 1.21-2.49), be obese (OR 1.74, CI 1.15-2.63) and have higher triglycerides (OR 1.43, CI 1.12-1.84, p=0.005 per 1 standard deviation increase). Each 10mmHg increase in SBP was associated with an OR of 1.22 for future CKD (95% CI 1.10-1.35) Additionally, cases were more likely to have diabetes (OR 2.90, CI 1.59-5.29) and be on antihypertensive therapy (OR 1.65, CI 1.14-2.40, p=0.009) up to 20 years prior to diagnosis. Increasing HDLc was associated with a lower risk of CKD (OR 0.84, CI 0.81-0.97 per 10mg/dl). Conclusions: As many as 30 years prior to diagnosis, risk factors for CKD are identifiable. In particular, modifiable risk factors such as obesity, hypertension and dyslipidemia are present early in the course of the disease. These findings demonstrate the importance of early identification of risk factors in patients at risk of CKD through a life-course approach.

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