Application of receiver operating characteristic analysis to refine the prediction of potential digoxin drug interactionss

Harma Ellens, Shibing Deng, Joann Coleman, Joe Bentz, Mitchell E. Taub, Isabelle Ragueneau-Majlessi, Sophie P. Chung, Krisztina Herédi-Szabó, Sibylle Neuhoff, Johan Palm, Praveen Balimane, Lei Zhang, Masoud Jamei, Imad Hanna, Michael O'connor, Dallas Bednarczyk, Malin Forsgard, Xiaoyan Chu, Christoph Funk, Ailan GuoKathleen M. Hillgren, Libin Li, Anne Y. Pak, Elke S. Perloff, Ganesh Rajaraman, Laurent Salphati, Jan Shiang Taur, Dietmar Weitz, Heleen M. Wortelboer, Cindy Q. Xia, Guangqing Xiao, Tetsuo Yamagata, Caroline A. Lee

    Research output: Contribution to journalArticlepeer-review


    In the 2012 Food and Drug Administration (FDA) draft guidance on drug-drug interactions (DDIs), a new molecular entity that inhibits Pglycoprotein (P-gp) may need a clinical DDI study with a P-gp substrate such as digoxin when themaximumconcentration of inhibitor at steady state divided by IC50 ([I1]/IC50) is0.1 or concentration of inhibitor based on highest approved dose dissolved in 250 ml divide by IC50 ([I2]/IC 50) is10. In this article, refined criteria are presented, determined by receiver operating characteristic analysis, using IC50 values generated by 23 laboratories. P-gp probe substrates were digoxin for polarized cell-lines and N-methyl quinidine or vinblastine for P-gp overexpressed vesicles. Inhibition of probe substrate transport was evaluated using 15 known P-gp inhibitors. Importantly, the criteria derived in this article take into account variability in IC50 values. Moreover, they are statistically derived based on the highest degree of accuracy in predicting true positive and true negative digoxin DDI results. The refined criteria of [I1]/IC50 0.03 and [I2]/IC50 45 and FDA criteria were applied to a test set of 101 in vitro-in vivo digoxin DDI pairs collated from the literature. The number of false negatives (none predicted but DDI observed) were similar, 10 and 12%, whereas the number of false positives (DDI predicted but not observed) substantially decreased from 51 to 40%, relative to the FDA criteria. On the basis of estimated overall variability in IC50 values, a theoretical 95%confidence interval calculation was developed for single laboratory IC 50 values, translating into a range of [I1]/IC50 and [I2]/IC50 values. The extent by which this range falls above the criteria is a measure of risk associated with the decision, attributable to variability in IC50 values. © 2013 by The American Society for Pharmacology.
    Original languageEnglish
    Pages (from-to)1367-1374
    Number of pages7
    JournalDrug Metabolism and Disposition
    Issue number7
    Publication statusPublished - Jul 2013


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