concern, contributing to 10% to 20% of overall mortality. Traditional approaches have often struggled to pinpoint high-risk individuals, particularly on a personal level, making this discovery profoundly impactful.
Lead author Xavier Jouven, a distinguished professor of cardiology and epidemiology at the Paris Cardiovascular Research Center, Inserm, and the University of Paris in France, introduced an innovative approach that transcends the conventional focus on cardiovascular risk factors. This approach encompasses all medical information available in electronic health records, potentially revolutionizing our understanding and management of sudden cardiac death.
The research findings, set to be presented at the American Heart Association’s Scientific Sessions 2023, represent a monumental stride in cardiac healthcare. The research team leveraged AI to analyze medical information sourced from registries and databases in Paris, France, and Seattle.
They examined 25,000 individuals who had experienced sudden cardiac arrest and 70,000 individuals from the general population. These two groups were meticulously matched based on age, sex, and residential area.
A Wealth of Medical Data
The dataset used for analysis comprised over a million hospital diagnoses and ten million medication prescriptions, spanning medical records up to a decade before each individual’s demise.
Through AI, researchers created nearly 25,000 equations, factoring in personalized health criteria to pinpoint those at a high risk of sudden cardiac death. Each participant in the study received a tailored risk profile that incorporated their medical history, encompassing factors such as treatment for high blood pressure, a history of heart disease, and even mental and behavioral health concerns like alcohol abuse.
This comprehensive analysis can determine factors that either elevate or diminish the risk of sudden cardiac death, specifying a particular percentage and time frame. For instance, an individual might have an 89% risk of experiencing sudden cardiac death within three months. This level of precision empowers healthcare professionals to proactively address and mitigate these risks.
Professor Jouven underscored the importance of AI in this context, stating, “While doctors have effective treatments such as risk factor correction, targeted medications, and implantable defibrillators, the use of AI is essential to identify a patient’s evolving medical history over the years, which creates a trajectory associated with an increased risk of sudden cardiac death. We hope that by providing patients with a personalized list of risk factors, they can collaborate with their healthcare providers to reduce these factors and ultimately decrease the likelihood of sudden cardiac death.”
In conclusion, the integration of artificial intelligence into healthcare signifies a significant paradigm shift in our approach to addressing and preventing sudden cardiac death. This research opens a promising avenue for personalized risk assessment, enabling individuals and healthcare providers to collaboratively and proactively mitigate the risk of this life-threatening condition.
- Artificial intelligence may help predict – possibly prevent – sudden cardiac death – (https://newsroom.heart.org/news/artificial-intelligence-may-help-predict-possibly-prevent-sudden-cardiac-death)