A new study in Lancet Digital Health identifies early warning symptoms like chest pain and dyspnea that are moderately associated with imminent sudden cardiac arrest. The research suggests that future digital technologies could combine these symptoms with biometric data to more precisely predict and potentially prevent these life-threatening events.
By Dr. Priyom Bose, Ph.D.Sep 3 2023Reviewed by Benedette Cuffari, M.Sc. Sudden cardiac arrest is a global public health problem associated with a mortality rate of more than 90%. Using digital technology, prearrest warning symptoms could be harnessed to potentially improve survival outcomes.
Background Better methods are required to predict and prevent sudden cardiac arrest. About 50% of individuals with sudden cardiac arrest exhibit symptoms in the hours, days, or weeks leading up to the cardiac event. About the study The current study analyzed participants in the Oregon Sudden Unexpected Death Study and Ventura Prediction of Sudden Death in Multi-Ethnic Communities studies. This study aimed to detect individual symptoms and groups of symptoms before cardiac arrest and compare these symptoms with those of controls who also sought medical attention.
Key findings Over 30% of patients reported chest pain and dyspnea, whereas other symptoms were reported in less than 18% of patients. In sex-specific models, men experienced chest pain, dyspnea, and diaphoresis, whereas only dyspnea was associated with women, thus indicating the presence of significant sex differences in the presentation of sudden cardiac arrest.
The use of a predefined list of symptoms, based on previous research, prevented the discovery of potential new symptoms of sudden cardiac arrest. Additionally, the reliability and comprehensive nature of symptoms reported by individuals, family members, or bystanders could not be verified.
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