Posts by Shaan Khurshid, MD, MPH
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AI Finds Associations Between Genetically Predicted LV Mass and Future CV Events
Massachusetts General Hospital researchers used artificial intelligence (AI) to conduct a genome-wide association study of indexed left ventricular mass (LVMI) derived from cardiac MRI, identifying 11 novel associations and linking both actual and genetically predicted LVMI to higher risk of multiple CV conditions.
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AI-based Analysis of ECGs Complements CHARGE-AF Score for Predicting AF
Steven A. Lubitz, MD, MPH, and Shaan Khurshid, MD, MPH, of the Cardiovascular Research Center, and colleagues developed a deep learning computer model that predicts five-year risk of atrial fibrillation using 12-lead ECG data, performing as well as the CHARGE-AF score and even better when combined with that score.
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Stroke Subtype, Discharge Location Influence Use of Cardiac Rhythm Monitoring
Shaan Khurshid, MD, and Steven A. Lubitz, MD, MPH, of the Cardiovascular Research Center, and colleagues found that among 493 patients with acute ischemic stroke, only 37% received cardiac monitoring within six months as guidelines suggest.
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Accelerometer Data Confirms: Increased Physical Activity Is Associated with Reduced Risk of Afib, Stroke
Using wrist-worn accelerometer data from the UK Biobank, Shaan Khurshid, MD, MPH, and Steven A. Lubitz, MD, MPH, of the Cardiovascular Research Center, and colleagues confirmed guideline-recommended levels of physical activity are associated with substantially lower risks of incident atrial fibrillation and stroke.
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Atrial Fibrillation Risk Scoring at Time of Stroke May Identify People at Low Probability of Cardioembolism
Calculating the Electronic Health Record–Based AF score at the time of acute ischemic stroke may identify patients who do not need invasive rhythm monitoring.
Biography
Shaan Khurshid, MD, MPH, is a cardiac electrophysiologist in the Cardiology Division at Massachusetts General Hospital.