Personalized medications based on the Metabolism Informed Care can help determine effective smoking cessation strategy, found a new study published in Nicotine & Tobacco Research journal. The first-of-its-kind clinical study combines smoking cessation with personalized medicine by learning whether the patient is a "normal" or "slow" metabolizer of nicotine and then using that information to select medication to quit smoking.
‘Personalized smoking cessation medicines can be prescribed by understanding the patient’s nicotine metabolism process which could either be "normal" or "slow, " and this information then can be used to select appropriate medication’The novelty of the approach taken by VUMC researchers was to tell smokers whether they were normal or slow metabolizers.
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A large study in 2015 showed that normal metabolizers of nicotine would quit smoking at rates that were twice as high if they used varenicline (Chantix) versus the nicotine patch, while slow metabolizers quit just as often on either medication. But the results had not yet been put into clinical practice.
Investigators are using personalized medicine to help patients determine which smoking cessation strategy may be more effective for them.
"You have to treat about five normal metabolizers with varenicline to help one person quit smoking, while, by contrast, you have to treat about 26 normal metabolizers with the nicotine patch to help just one quit smoking," said lead author Quinn Wells, MD, assistant professor of Cardiovascular Medicine.
This information may offer a "smarter" way to help people quit smoking, according to the study’s senior author, Hilary Tindle, MD, founding director of ViTAL, the Vanderbilt Center for Tobacco, Addiction, and Lifestyle.
The study, published in Nicotine & Tobacco Research, enrolled 81 outpatient, treatment-seeking, adult, daily smokers with medical comorbidity (median age 53.5 years, 44.4 percent female, 28.4 percent black) from the VUMC Cardiology and GI-Inflammatory Bowel Disease clinics.
A large majority (84 percent) of participants who received their metabolism information were also willing to follow recommendations of the blood test: Chantix for normal metabolizers and nicotine patch for slow metabolizers.
"In Caucasians, about two-thirds of people are normal metabolizers, while about one-third are slow metabolizers," Wells said.
In the Vanderbilt study, 84 percent of the metabolism-informed care group were prescribed medications that matched their metabolism as opposed to only 58 percent of the guideline-based care study group.
"Metabolism-informed care increased the odds of optimized medication matching more than threefold over guideline-based care," Tindle said.
The research team is now studying how to implement best precision approaches to quitting smoking throughout the health system.