Utilization of chi-square statistics for screening adverse drug-drug interactions in spontaneous reporting systems
Utilization of chi-square statistics for screening adverse drug-drug interactions in spontaneous reporting systems
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DOI:
10.1007/s00228-017-2233-3
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发表时间:
2017-06-01
影响因子:
2.9
通讯作者:
Hirakawa, Akihiro
中科院分区:
文献类型:
--
作者:
Gosho, Masahiko;Maruo, Kazushi;Hirakawa, Akihiro
Purpose We proposed a statistical criterion to detect drug-drug interactions causing adverse drug reactions in spontaneous reporting systems.Methods The used criterion quantitatively measures the discrepancy between the observed and expected number of adverse events via chi-square statistics. We compared the performance of our method with that of Nor,n et al. (Stat Med 2008; 27 (16): 3057-3070) through a simulation study.Results When the number of events for a combination of two drugs was equal to or lower than two, the false positive rate for our method ranged from 0.01 to 0.08, whereas the rate for Nor,n's method ranged from 0.01 to 0.06. The sensitivity for our method ranged from 0.09 to 0.29, whereas the sensitivity for Nor,n's method ranged from 0.03 to 0.24. The area-under-the-receiver operating characteristic curve for our method was significantly larger than that for Nor,n's methods regardless of simulation settings. The proposed method was also applied to the Food and Drug Administration Adverse Event Reporting System database, and a recognized drug-drug interaction was detected.Conslusions The proposed criterion controlled false positives at an acceptable level and had higher sensitivity than that of Nor,n's method had when events were rare.