Mount Sinai Researchers Use Machine-Learning Techniques to Unlock Hidden Benefit of Weight Loss Interventions for Overweight Patients with Type 2 Diabetes
Results counterbalance null findings reported by halted Look AHEAD Trial
Losing weight reduces the risk of long-term cardiovascular illness and mortality for the majority of patients with type 2 diabetes, but for a small subgroup, weight-loss intervention can lead to dramatically worse outcomes, according to new research published today in The Lancet Diabetes & Endocrinology.
A team of data science researchers at The Arnhold Institute for Global Health of the Icahn School of Medicine at Mount Sinai reached these conclusions by applying new, advanced machine learning techniques to data collected during a trial that was halted in 2012 because its results lacked statistical significance.
The Arnhold Institute team, led by James H. Faghmous, PhD, Chief Technology Officer at the Institute, reanalyzed data from the trial known as Look AHEAD (Action for Health in Diabetes). They found that, despite the overall null findings of the trial, 85 percent of the study sample did experience a clinically meaningful, significant reduction in cardiovascular mortality and morbidity from the trial’s intensive weight loss intervention.
“Our analysis demonstrates that recent advances in machine learning for causal inference can increase the quantity of clinically relevant findings generated from large randomized trials,” said Aaron Baum, PhD, Lead Economist, The Arnhold Institute for Global Health; Assistant Professor, Department of Health System Design and Global Health, Icahn School of Medicine at Mount Sinai; and lead author of the study. “As researchers and data scientists, we are always concerned that an overall study result could mask important disparities in benefit or harm among different types of patients, which is exactly what this study revealed. Being able to identify individuals that could benefit from an intervention is fundamental to patient care.”
"In addition to its clinical findings, this work shows the promise advanced machine learning methods can have on precision medicine beyond genetics", said James H. Faghmous, PhD, the study's senior author and an expert in machine learning and healthcare.
The Look AHEAD study enrolled more than 5,000 overweight and obese patients with diabetes with a planned follow-up period of up to 13 years. Its intent was to determine whether modest weight loss through a lifestyle intervention reduced the rate of mortality and serious events like heart attacks and strokes. The trial was halted early by the National Institutes of Health (NIH) after finding no difference in the rates of cardiovascular events between the two groups.
“This research strengthens the role for data science and precision medicine as essential tools that can transform the way health care is delivered,” said Prabhjot Singh, MD, PhD, Director of The Arnhold Institute for Global Health and Chair of the Department of Health System Design and Global Health, Icahn School of Medicine at Mount Sinai. “Identifying individuals that could benefit from an intervention is crucial for practicing clinicians, while ignoring subgroups that benefit might lead to lack of reimbursement for weight loss programs, which would neglect vulnerable populations.”
The team’s findings indicated that 15 percent of subjects had substantially increased risk of cardiovascular events such as heart attack or stroke as a result of weight loss interventions. This could be the first suggestive evidence of an adverse reaction to what is generally considered a common-sense and innocuous intervention. This subgroup was defined by a combination of two baseline characteristics: mild or well treated diabetes (HbA1c less than 6.8 percent) and a negative perception of their health status (SF-36 general health score less than 48). The latter is strongly correlated to depression. This subgroup also:
- Reported substantially poorer compliance with the exercise portion of the intervention, which is consistent with the importance of assessing patients’ readiness for change when recommending behavioral interventions;
- Experienced less improvement in several intermediate health outcomes, including blood sugar, mental health, and blood pressure.
“This analysis restores my faith in basic common sense,” said Ronald Tamler, MD, Medical Director, Mount Sinai Clinical Diabetes Institute, and co-author of the study. “For the vast majority of people with diabetes, a healthy lifestyle with weight loss carries significant benefits; however, it’s not for everyone. Thanks to this work, clinicians can infer which patients will benefit the most from such a lifestyle intervention.”
Additional study collaborators include the Department of Epidemiology, Joseph L. Mailman School of Public Health, Columbia University, and the Department of Medicine, Stanford University School of Medicine.
About The Arnhold Institute for Global Health
The Arnhold Institute for Global Health at the Icahn School of Medicine, Mount Sinai Health System, seeks to improve the health of people and the communities they live in, both in the United States and abroad. The Arnhold Institute serves as a global arm of the Mount Sinai Health System, leading research on the design of more equitable and effective care models that are disseminated through digital products, training systems and input on policy design.
For more information, visit http://icahn.mssm.edu/research/arnhold
About the Mount Sinai Health System
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 employees working across eight hospitals, over 400 outpatient practices, nearly 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it.
Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes approximately 7,300 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics and top 20 in Cardiology/Heart Surgery, Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is one of three medical schools that have earned distinction by multiple indicators: It is consistently ranked in the top 20 by U.S. News & World Report's "Best Medical Schools," aligned with a U.S. News & World Report "Honor Roll" Hospital, and top 20 in the nation for National Institutes of Health funding and top 5 in the nation for numerous basic and clinical research areas. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.