Atrial fibrillation (AF) is a common heart rhythm disorder that increases with age and affects approximately 1-2% of the general population. The risk of developing AF is influenced by various factors, including age, gender, hypertension, diabetes, obesity, and underlying heart disease. Dr Shaan Khurshid (Massachusetts General Hospital, Boston, MA, USA) discusses the incidence and risk of atrial fibrillation in this touchCARDIO interview.
Watch Dr Shaan Khurshid’s discussion on AI use in the prediction of incident atrial fibrillation
Full transcript available below
The abstract entitled ‘Use of Artificial Intelligence for Prediction of Incident Atrial Fibrillation‘Â was presented at the Atrial Fibrillation Symposium, 02 – 04 February 2023.
Questions:
- What is known about the incidence and risk of atrial fibrillation (AF)? (0:27)
Disclosures: Shaan Khurshid has nothing to disclose in relation to this interview.
Support: Interview and filming supported by Touch Medical Media. Interview conducted by Katey Gabrysch.
Filmed as a highlight of AFS 2023
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Transcript
I am Shaan Khurshid. I am a Cardiac Electrophysiology Fellow at Massachusetts General Hospital, Boston, MA, USA. I’ll be joining the electrophysiology staff this July, and I have a clinical and research interest in atrial fibrillation and in particular the prediction of disease using statistical methods as well as novel machine learning methods.
What is known about the incidence and risk of atrial fibrillation (AF)? (0:27)
We know that atrial fibrillation or AF is a common arrhythmia. It’s the most common pathologic or arrhythmia or heart rhythm abnormality and it is expected to affect over 12 million people in the United States by 2030. Its incidence is increasing. We also know that AF risk can be predicted in the setting of certain basic clinical variables like hypertension, age, sex and weight diabetes. But people have not really applied risk prediction to atrial fibrillation. Scores exist on the basis of these clinical factors, but they’re hard to calculate and it really just hasn’t made its way into clinical practice. There may be better opportunities to risk stratify individuals for atrial fibrillation.
Subtitles and transcript are autogenerated
