Heart failure is an important potential complication of type 2 diabetes that occurs frequently and can lead to death or disability. Earlier this month, late-breaking trial results revealed that a new class of medications known as SGLT2 inhibitors may be helpful for patients with heart failure. These therapies may also be used in patients with diabetes to prevent heart failure from occurring in the first place. However, a way of accurately identifying which diabetes patients are most at risk for heart failure remains elusive. A new study led by investigators from Brigham and Women’s Hospital and UT Southwestern Medical Center unveils a new, machine-learning derived model that can predict, with a high degree of accuracy, future heart failure among patients with diabetes. The team’s findings are presented at the Heart Failure Society of America Annual Scientific Meeting in Philadelphia and simultaneously published in Diabetes Care.
Anupam Ghose, a physician by training, was diagnosed with Type 2 Diabetes Mellitus (T2DM) in 2017. After the diagnosis of T2DM, he followed a low carbohydrate high fat diet and reversed his T2DM within a year. Now he has one main goal in life. Yes, it is to make people understand that the conventional method of treating T2DM is not beneficial. The best way to reverse and fight T2DM is through diet and lifestyle modification. He decided to help people suffering from T2DM in their new journey by offering consultations and working together with them in order to achieve a T2DM free life.