AI predicts premature deaths in inflammatory bowel disease patients

A recent study published in the Canadian Medical Association Journal reveals that nearly half of the deaths among people with inflammatory bowel disease (IBD) are premature. The research used machine learning to analyze health data in Ontario, focusing on patients with IBD, which includes Crohn's disease and ulcerative colitis. Canada has one of the highest rates of IBD in the world. People suffering from these conditions tend to have a lower life expectancy and are prone to developing other chronic health issues. The study found that those who develop chronic conditions earlier in life face a higher risk of dying before the age of 75. Researchers used machine learning models to identify factors that could predict premature death in these patients. They found that having chronic conditions diagnosed before the age of 60 greatly improved the accuracy of predictions. Common chronic issues leading to death included arthritis, hypertension, mood disorders, kidney failure, and cancer. Dr. Eric Benchimol, a leader in the study, noted that the findings could help identify patients at higher risk for early death. This might allow for better management of their IBD and associated health problems. The study reported that 47% of the 9,278 deaths of IBD patients between 2010 and 2020 were classified as premature, with higher rates among males compared to females. The researchers emphasize the importance of comprehensive care that involves various health professionals, including dietitians and mental health specialists, to address the complex needs of these patients. They aim for their findings to lead to better health outcomes for those living with IBD.