Coupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT Prolongation

“By examining big data in entirely new ways, the team uncovered several drug combinations associated with increased risk of a potentially fatal heart arrhythmia. One pair included the popular antibiotic ceftriaxone and the heartburn medication lansoprazole, a former blockbuster drug best known by the brand name Prevacid.”
Scientists see progress in identifying deadly drug interactions, October 10, 2016, Continue Reading

“Millions of Americans take more than one prescription drug, and often times doctors don’t know which drugs, when combined, can cause serious illness or death. Sadly, such warnings come only after the damage is done, when enough clear reports of adverse reactions begin to emerge. Now, scientists at Columbia University in New York have harnessed the power of data science to identify two common prescription drugs that, if mixed, can have deadly consequences.”
Deadly Mixture: Scientists Uncover Harmful Drug Interactions, October 10, 2016, Continue Reading

“The research, which used a combination of adverse event data-mining, electronic health record analysis and laboratory experiments, found that patients who received both drugs together were more likely to experience drug-induced long QT syndrome (LQTS), a potentially fatal condition, than those who received either drug alone.”
Study highlights drug-drug interaction risk from two commonly used drugs, October 12, 2016, Continue Reading

“Investigators at Columbia University discovered that adverse event reports and electronic health records, along with targeted tests, were effective in confirming the challenging-to-predict interactions – pinpointing the peril of one specific combination therapy.”
Data mining, lab testing approach reveals ceftriaxone-lansoprazole interaction, October 20, 2016,Continue Reading