Individuals experience sex-specific symptoms before impending cardiac arrest: Study

Written By :  Isra Zaman
Medically Reviewed By :  Dr. Kamal Kant Kohli
Published On 2023-08-29 03:45 GMT   |   Update On 2023-08-29 03:45 GMT

Investigators from the Smidt Heart Institute at Cedars-Sinai are one step closer to helping individuals catch a sudden cardiac arrest before it happens, thanks to a study published recently in the journal Lancet Digital Health.

The study found that 50% of individuals who experienced a sudden cardiac arrest also experienced a telling symptom 24 hours before their loss of heart function.

Smidt Heart Institute investigators also learned that this warning symptom was different for women than it was for men. For women, the most prominent symptom of an impending sudden cardiac arrest was shortness of breath, whereas men experienced chest pain.

For this study, investigators used two established and ongoing community-based studies: the ongoing Prediction of Sudden Death in Multi-Ethnic Communities (PRESTO) Study in Ventura County, California, and the Oregon Sudden Unexpected Death Study (SUDS), based in Portland, Oregon.

Both studies provide Cedars-Sinai investigators with unique, community-based data to establish how to best predict sudden cardiac arrest.

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In both the Ventura and Oregon studies, Smidt Heart Institute investigators evaluated the prevalence of individual symptoms and sets of symptoms prior to sudden cardiac arrest, then compared these findings to control groups that also sought emergency medical care.

The Ventura-based study showed that 50% of the 823 people who had a sudden cardiac arrest witnessed by a bystander or emergency medicine professional, such as an emergency medicine service (EMS) responder, experienced at least one telltale symptom 24 hours previously. The Oregon-based study showed similar results.

Reference: Warning symptoms associated with imminent sudden cardiac arrest: a population-based case-control study with external validation, Lancet Digital Health, DOI 10.1016/PIIS2589-7500(23)00147-4

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Article Source : Lancet Digital Health

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