A group of European researchers, led by scientists from the Erasmus University in Rotterdam, has developed a new tool to accurately predict the risk of suffering a cardiovascular disorder, and significantly improves the results offered by the other available models.
An oppressive pain in the chest is sometimes the first warning sign of a Coronary artery disease. This pathology occurs as a result of a narrowing of the arteries responsible for supplying oxygen and nutrients to the heart due to the deposits of fat that accumulate inside, and is considered one of the leading causes of death worldwide.
Early detection of the risk of developing coronary artery disease allows doctors to decide what additional tests should be performed on a patient
When a person suffers from chest pain, it is recommended to use a tool to assess the risk of coronary heart disease, since to detect early and reliably the risk that a person has of developing this disease, allows doctors to decide what additional tests are needed. they should perform a patient, and what steps to take to improve the prognosis. However, the two prediction models - the Diamond and Forrester and the Duke Clinical Score - that are currently used, offer doubts as to their accuracy.
The researchers tested the new prediction model by conducting a study involving a total of 5,677 patients - from 18 hospitals across Europe and the United States - who had chest pain but had no history of heart disease.
The investigation took into account the age, sex, and symptoms of the patients, as well as additional risk factors - arterial hypertension, diabetes, tobacco consumption, high lipid levels ... -, and the calculation of the coronary calcium (used to detect if coronary artery disease exists and the possible risk of it occurring).
The authors of the study indicate that their model is more reliable and accurate compared to the Duke Clinical Score - which is the one that is usually recommended-, since it overestimates the chances of coronary disease; and they add that it offers other additional advantages such as not requiring electrocardiogram readings of the heart at rest, and the possibility of integrating into the electronic records of patients or in mobile applications.