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Published on: February 26, 2013
Higher Risk of Incident Hyperthyroidism in Patients With Atrial Fibrillation
Pang-Shuo Huang1,2,3, Jen-Fang Cheng3,4,5, Jien-Jiun Chen1
1Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, Yun-Lin 640, Taiwan.
Insights
Atrial fibrillation (AF) may predict hyperthyroidism, with younger age and female gender being key risk factors. A new SAD HEC2 score shows predictive power for developing hyperthyroidism in AF patients.
Area of Science:
- Cardiology
- Endocrinology
- Epidemiology
Background:
- Atrial fibrillation (AF) is associated with an elevated risk of hyperthyroidism.
- The specific factors contributing to this increased risk remain unclear.
Purpose of the Study:
- To investigate if atrial fibrillation (AF) can predict the development of hyperthyroidism.
- To identify risk factors associated with hyperthyroidism in patients with AF.
Main Methods:
- A retrospective cohort study involving 8552 patients diagnosed with AF but without pre-existing hyperthyroidism.
- Follow-up assessments were conducted to identify new diagnoses of hyperthyroidism.
Main Results:
- Patients who developed hyperthyroidism were younger and more likely to be female, with fewer comorbidities.
- Lower CHADS2 scores were observed in patients who developed hyperthyroidism.
- Independent predictors included younger age, female gender, congestive heart failure, hypertension, diabetes, non-end-stage renal disease (ESRD) status, and lower CHADS2 score.
- A novel risk score, SAD HEC2, demonstrated excellent predictive capability for incident hyperthyroidism.
Conclusions:
- Atrial fibrillation (AF) may serve as a precursor to hyperthyroidism.
- The study identified key clinical risk factors and introduced the SAD HEC2 score for predicting hyperthyroidism in AF patients.
Background:
Atrial fibrillation (AF) has been linked to increased hyperthyroidism risk, but contributing factors are unclear.
Objective:
We aimed to investigate whether AF could predict hyperthyroidism and related risk factors.
Methods:
This retrospective cohort study was conducted in a tertiary medical institution and included patients aged 18 years or older with AF but without hyperthyroidism at diagnosis. The endpoint was defined as newly diagnosed hyperthyroidism during the follow-up period.
Results:
The study cohort included 8552 participants. Patients who developed new hyperthyroidism were younger and the proportion of females was higher. They had fewer comorbidities, including diabetes (26% vs 29%, P = .121), hypertension (51% vs 58%, P < .001), coronary artery disease (17% vs 25%, P < .001), stroke (16% vs 22%, P < .001), and end-stage renal disease (ESRD) (6% vs 10%, P = .001). The CHADS2 score was lower in patients with hyperthyroidism (1.74 vs 2.05, P = .031), but there was no statistically significant difference in the CHA2DS2-VASc and HAS-BLED score. Cox regression analysis identified younger age, female gender, history of congestive heart failure, hypertension, diabetes, non-ESRD status, and lower CHADS2 score but not CHA2DS2-VASc as independent predictors of incident hyperthyroidism during follow-up. We also propose a novel, simple risk stratification score (SAD HEC2 score) with excellent predictive power for incident hyperthyroidism during follow-up.
Conclusion:
Our results provide insight into clinical risk factors for the development of hyperthyroidism in AF patients, as identified by the novel SAD HEC2 score. AF appears to be a common precursor of hyperthyroidism.
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