Researchers Use EMRs to Identify Subgroups of Type 2 Diabetes | Healthcare Informatics Magazine | Health IT | Information Technology Skip to content Skip to navigation

Researchers Use EMRs to Identify Subgroups of Type 2 Diabetes

November 5, 2015
by Heather Landi
| Reprints

By analyzing electronic medical records (EMRs) and genotype data, researchers at the Icahn School of Medicine at Mount Sinai in New York City identified a subtype of patients with type 2 diabetes.

The research, published in Science Translational Medicine¸ details a complex network analysis of EMRs and for more than 11,000 patients and offers a glimpse of precision medicine in action, according to a statement from the Mount Sinai Health System, and points to the “possibility for more tailored diagnosis and treatment of type 2 diabetes in the future, but also reveals a novel approach that can be applied to virtually any disease.”

For the research, patients were grouped into three distinct subtypes based on EMR data, followed by genomic analysis pinpointing common genetic variants representative of each subtype. These subtypes were associated with different clinical characteristics. Patients were more likely to suffer diabetic nephropathy and retinopathy in subtype 1; cancer and cardiovascular disease in subtype 2; and neurological disease, allergies, and HIV infections in subtype 3. For each subtype, the researchers discovered unique genetic variants in hundreds of genes.

"This project demonstrates the very real promise of precision medicine to improve healthcare by tailoring diagnosis and treatment to each patient, as well as by learning from each patient," Joel Dudley, PhD, senior author on the paper and director of Biomedical Informatics at the Icahn School of Medicine at Mount Sinai, said in a statement. "It is absolutely encouraging that we were able to paint a much higher-resolution understanding for a common and complex disease that has long stymied the biomedical community with its heterogeneity. I look forward to seeing what we can accomplish for other patient populations."

Type 2 diabetes has quickly become a leading cause of death, and the World Health Organization estimates that 8 percent of the global adult population has the disease. The medical community has struggled to diagnose and treat type 2 diabetes because it presents with many different symptoms and a wide range of associated complications. It has long been thought that the disease, like cancer, could be treated more successfully if patients could be grouped into clinically distinct subtypes with more specific prognoses, according to the researchers’ report.

"Our approach demonstrates the potential to unlock clinically meaningful patient population subgroups from the wealth of information that is accumulating in electronic medical record systems. The unique genetic component of this study yielded high-priority variants for follow-up study in patients with type 2 diabetes,"  Ronald Tamler, M.D., co-author of the study and director of the Mount Sinai Clinical Diabetes Institute, within the Mount Sinai Health System. "The team's results suggest an attractive alternative to the kind of large-scale, narrow phenotype studies that have produced limited success in explaining common, complex disease."

 

Get the latest information on Health IT and attend other valuable sessions at this two-day Summit providing healthcare leaders with educational content, insightful debate and dialogue on the future of healthcare and technology.

Learn More

Topics

News

Study will Leverage Connecticut HIE to Help Prevent Suicides

A new study will aim to leverage CTHealthLink, a physician-led health information exchange (HIE) in Connecticut, to help identify the factors leading to suicide and to ultimately help prevent those deaths.

Duke Health First to Achieve HIMSS Stage 7 Rating in Analytics

North Carolina-based Duke Health has become the first U.S. healthcare institution to be awarded the highest honor for analytic capabilities by HIMSS Analytics.

NIH Releases First Dataset from Adolescent Brain Development Study

The National Institutes of Health (NIH) announced the release of the first dataset from the Adolescent Brain Cognitive Development (ABCD) study, which will enable scientists to conduct research on the many factors that influence brain, cognitive, social, and emotional development.

Boston Children's Accelerates Data-Driven Approach to Clinical Research

In an effort to bring a more data-driven approach to clinical research, Boston Children’s Hospital has joined the TriNetX global health research network.

Paper Records, Films Most Common Type of Healthcare Data Breach, Study Finds

Despite the high level of hospital adoption of electronic health records and federal incentives to do so, paper and films were the most frequent location of breached data in hospitals, according to a recent study.

AHA Appoints Senior Advisor for Cybersecurity and Risk

The American Hospital Association (AHA) has announced that John Riggi has joined the association as senior advisor for cybersecurity and risk.