Repeated Heart Failure & Hospitalizations in Women with Diabetes
Repeated Heart Failure & Hospitalizations in Women with Diabetes
Heart failure a common complication that may occur patients with diabetes, which why we are Repeated Heart Failure asking readers help support ability continue you quality information about through charging a minimal read certain articles. Thank you for helping support Diabetes Control..
- Using a machine learning model, researchers could accurately predict future heart failure among patients with diabetes, a study published in Diabetes Care revealed. Heart failure is a potential complication of type 2 diabetes, leading to disability or death. Recently, scientists have found that a new class of medications may be helpful for preventing heart failure in patients with diabetes, but identifying those with the highest risk can be challenging. Researchers at Brigham and Women’s Hospital and UT Southwestern Medical Center developed a risk diabetes and heart failure score called WATCH-DM, a machine learning-driven model that would determine the top predictors of heart failure. Leveraging data from 8,756 patients with diabetes, the model evaluated clinical information, laboratory data, and demographics and found 147 variables that would accurately predict heart failure risk. Over a period of nearly five years, 319 patients developed heart failure. Researchers identified the top ten predictors of heart failure, which included weight, age, hypertension, diabetes control, and other factors, and used them to develop the WATCH-DM risk score.
(Reuters) - AstraZeneca’s diabetes drug, been granted fast track by U. S. Machine Learning Predicts for treatment failure, British drugmaker on Monday. Farxiga, is AstraZeneca diabetes drug SGLT2-inhibitor class antidiabetics that cause to expel blood sugar body through urine. Diabetes is often associated a high risk failure. AstraZeneca made strides month towards its goal adding failure to conditions that can be by Farxiga, following positive in a late-stage trial as a ‘wild-card’ by market.
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