The natural history of atrial fibrillation: Incidence, risk factors, and prognosis in the manitoba follow-up study

1996 ◽  
Vol 5 (1) ◽  
pp. 55-56
1995 ◽  
Vol 98 (5) ◽  
pp. 476-484 ◽  
Author(s):  
Andrew D. Krahn ◽  
Jure Manfreda ◽  
Robert B. Tate ◽  
Francis A.L. Mathewson ◽  
T. Edward Cuddy

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Jwan A Naser ◽  
Sorin Pislaru ◽  
Marius N Stan ◽  
Grace Lin

Background: Hyperthyroidism is associated with atrial fibrillation (AF) with a reported prevalence of 16-60%. However, risk factors for onset of AF with hyperthyroidism are not well defined. We sought to identify patients with hyperthyroidism most likely to develop AF. Methods: We reviewed the medical records of 1371 consecutive patients with GD evaluated at our clinic between 2009 and 2019. GD-related AF was defined as AF diagnosed up to 30 days before or at any time after Grave’s disease (GD). Spontaneous recovery was defined as sinus rhythm after attainment of euthyroidism without the need for pharmacologic or electrical cardioversion. Outcomes of major cardiovascular events, all-cause mortality, and cardiac hospitalizations were compared between cases and controls (GD without AF) matched 1:1 for age, gender, and history of coronary artery disease. Results: AF occurred in 140 patients with an incidence of 10.2%. Older age (RR 1.63 per 10 years, p <0.001), male gender (RR 2.06, p < 0.001), overt hyperthyroidism (RR 2.48, p = 0.002), COPD (RR 2.14, p =0.006), and higher BMI (RR 1.03 per unit, p=0.023) were independent risk factors for AF. Spontaneous AF recovery occurred in 44 of 128 (34.6%) patients with adequate follow up. The multivariate risk factor for failed recovery was the presence of heart failure (HF) (OR =3.52, p= 0.004). GD patients with AF had higher rates of cardiac hospitalizations (Figure) that persisted even after adjusting to HF presence (27.9% vs 2.9%, p < 0.001). Conclusion: Risk factors for AF in GD are similar to those in the general population, although overt hyperthyroidism conferred the highest risk. These data argue for careful monitoring of GD patients with multimorbidity who may be at high risk of developing AF.


2019 ◽  
Author(s):  
Ayesha Shaikh ◽  
Natasha Shrikrishnapalasuriyar ◽  
Giselle Sharaf ◽  
David Price ◽  
Maneesh Udiawar ◽  
...  

Diabetes Care ◽  
1996 ◽  
Vol 19 (7) ◽  
pp. 710-714 ◽  
Author(s):  
A. R. G. Humphrey ◽  
G. K. Dowse ◽  
K. Thoma ◽  
P. Z. Zimmet

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Lu Liu ◽  
Xiaoling Guan ◽  
Zhongshang Yuan ◽  
Meng Zhao ◽  
Qiu Li ◽  
...  

Aim. It is known that different stages of type 2 diabetes represent distinct pathophysiological changes, but how the spectrum of risk factors varies at different stages is not yet clarified. Hence, the aim of this study was to compare the effect of different metabolic variables on the natural history of type 2 diabetes. Methods. A total of 5,213 nondiabetic (normal glucose tolerance (NGT) and prediabetes) Chinese older than 40 years participated this prospective cohort study, and 4,577 completed the 3-year follow-up. Glycemic status was determined by standard oral glucose tolerance test both at enrollment and follow-up visit. Predictors for conversion in glycemic status were studied in a corresponding subcohort using the multiple logistic regression analysis. Results. The incidence of prediabetes and diabetes of the cohort was 93.6 and 42.2 per 1,000 person-years, respectively. After a 3-year follow-up, 33.1% of prediabetes patients regressed to NGT. The predictive weight of body mass index (BMI), serum triglyceride, total cholesterol, and systolic blood pressure in different paths of conversions among diabetes, prediabetes, and NGT differed. Specifically, BMI was the strongest predictor for regression from prediabetes to NGT, while triglyceride was most prominent for onset of diabetes. One SD increase in serum triglyceride was associated with a 1.29- (95% CI 1.10–1.52; P=0.002) or 1.12- (95% CI 1.01–1.27; P=0.039) fold higher risk of diabetes for individuals with NGT or prediabetes, respectively. Conclusion. Risk factors for different stages of diabetes differed, suggesting personalized preventive strategies for individuals with different basal glycemic statuses.


2001 ◽  
Vol 34 (6) ◽  
pp. 962-970 ◽  
Author(s):  
Rainier Aquino ◽  
Christopher Johnnides ◽  
Michel Makaroun ◽  
Jeffrey C. Whittle ◽  
Visala S. Muluk ◽  
...  

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