Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms of the condition.
The findings, published today in the peer-reviewed Journal of the American College of Cardiology: Clinical Electrophysiology, have the potential to enhance prevention of sudden cardiac arrest unexpected loss of heart function—based on key risk factors identified in this study.
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source https://www.pharmatutor.org/pharma-news/2022/predicting-sudden-cardiac-arrest
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