CLIPMERGE, developed at Mount Sinai, gives doctors real-time therapeutic and diagnostic guidance based on their patient’s genetic profile.
NY, NY (PRWEB) April 05, 2013
Physicians and researchers at the Mount Sinai Medical Center will soon be utilizing a potentially revolutionary new data management and analysis platform that is external to, but communicates with, Mount Sinai’s Epic Electronic Health Record (EHR). The platform, developed at Mount Sinai, gives doctors real-time therapeutic and diagnostic guidance based on their patient’s genetic profile. Mount Sinai is pilot-testing the platform through a new research program called CLIPMERGE, which stands for CLinical Implementation of Personalized Medicine through Electronic health Records and Genomics, and is currently enrolling patients.
CLIPMERGE is described in an article to be published in the August issue of Clinical Pharmacology and Therapeutics. The article has been published online as an advance article preview, available at http://www.nature.com/clpt/journal/vaop/naam/pdf/clpt201372a.pdf.
The program is initially inviting 1,500 Mount Sinai patients, who are already enrolled in the BioMe™ “bio bank’ to take part. Once a patient has consented to take part in CLIPMERGE, their DNA, derived from saliva, is analyzed for genetic variations that may affect how a drug works in that individual.
These variations are stored by the CLIPMERGE platform, and remain there silently, until that patient is prescribed a medication by their physician for whom CLIPMERGE has genomically-relevant information - such as it having a lower likelihood of being effective or there being a higher chance of side-effects due to that patient’s particular type of genetic variation. When this happens, CLIPMERGE generates and sends a message, in real time, to the physician to let them know.
This process of providing relevant information to physicians at the point of care when they are treating patients is called “clinical decision support,” and just as it sounds, is intended to support physicians in their clinical decision making. For example, CLIPMERGE will advise physicians if a patient’s genetic profile indicates that he or she would be a “poor metabolizer” of a particular drug that they are prescribing. In that scenario, CLIPMERGE would display an alert on the physician’s EHR screen, consisting of text describing the reason for the alert, some suggestions of alternative medications or doses that could be used, and a link to reference material so that physicians can read more about the science and evidence for pharmacogenomics.
The article gives an example of a patient whose genomic testing indicates he or she is a “poor metabolizer” of a prescribed drug, clopidogrel (Plavix ©). The CLIPMERGE alert that is displayed on the physician’s screen states: “Poor metabolizer status is associated with significantly diminished antiplatelet response to clopidogrel and increased risk for adverse cardiovascular events following percutaneous coronary intervention.” It then suggests the physician consider alternative medication.
“Our knowledge of pharmacogenomics, or genome-drug interactions, and how genetics can influence why some patients react better to some drugs than others, is growing rapidly and will likely transform how drugs are prescribed in the future,” said lead author and the principal investigator of CLIPMERGE Omri Gottesman, MD, a physician- scientist at The Charles Bronfman Institute for Personalized Medicine at the Icahn School of Medicine at Mount Sinai. “What has been lacking to date is technology that can enable us to effectively implement pharmacogenomic information at the point of care and sufficient knowledge about how this information should be communicated to doctors. We hope that through CLIPMERGE, we can establish best practices both technological and human; and a robust process for clinical-decision support to deliver relevant genomic information to physicians at the moment they are caring for patients.”
“Combining BioMe (the bio bank program at Mount Sinai) with CLIPMERGE has allowed us to attain real-time feedback on optimal therapeutics, based on a patient’s DNA, for multiple conditions related to cardiovascular disease, blood clots, high cholesterol, depression and pain” said Erwin Bottinger, MD, the Irene and Dr. Arthur Fishberg Professor of Medicine, and Director of The Charles Bronfman Institute for Personalized Medicine at the Icahn School of Medicine at Mount Sinai. “This is an important step forward on the road to Personalized Medicine.”
Beyond the 1,500 patients enrolled in the pilot project, Mount Sinai has enrolled a total of 25,000 patients in BioMe™. “Enrolling this number of patients is a significant achievement for Mount Sinai and combined with programs such as CLIPMERGE, is propelling us to the forefront of precision medicine and its application in the clinical setting,” said Dennis S. Charney, MD, Anne and Joel Ehrenkranz Dean of Mount Sinai School of Medicine and Executive Vice President for Academic Affairs of The Mount Sinai Medical Center. “The future of medicine lies in genomics research and translating it to the bedside – and Mount Sinai’s commitment to translational research makes us uniquely poised to lead that revolution.”
The Mount Sinai BioMe™ Biobank, established in 2007 with a donation from the Andrea and Charles Bronfman Philanthropies, is now one of the largest repositories of its kind in the U.S. For more information, go to: http://icahn.mssm.edu/research/institutes/institute-for-personalized-medicine/innovation-and-technology/biome-platform.