Pointers at Glance
- Heart attacks are the top causes of death worldwide, and women who suffer a heart attack have a higher mortality rate than men.
- Researchers believe that AI improves treatment in women.
Heart attacks are one of the top causes of death globally, and women who suffer a heart attack have a higher mortality rate than men. It has been a matter of concern to cardiologists for decades and has led to controversy in the medical field about the causes and effects of possible gaps in treatment.
Risk Profile And Clinical Picture Vary In Women
An international research team led by Thomas F. Lüscher, professor at the Center for Molecular Cardiology at the University of Zurich (UZH), has investigated the role of biological sex in heart attacks in more detail.
He says there are notable differences in the disease phenotype observed in females and males. The study shows that women and men differ significantly in their risk factor profiles at hospital admission. When age differences at admission and risk factors such as hypertension and diabetes are disregarded, female heart-attack patients have higher mortality than male patients.
Current Risk Models Help Under-treatment Of Female Patients
Researchers from the UK and Switzerland analyzed data from 420,781 patients across Europe who had suffered the most common type of heart attack.
The first author Florian A says that the study shows that established risk models which guide current patient management are less accurate in females and favor the undertreatment of female patients.
AI-based Risk Profiling Improves Individualized Care
Many researchers and biotech companies agree that artificial intelligence and Big Data analytics are the following steps to personalized patient care. Wenzl says their study heralds the era of artificial intelligence in treating heart attacks.
Modern computer algorithms can learn from massive data sets to make accurate predictions about the prognosis of individual patients, and is the key to individualized treatments.
Thomas F. Lüscher and his team see massive potential in the application of artificial intelligence for the management of heart disease both in male and female patients.
