Analysis of hiccup-inducing factors based on a large-scale side effect information database
Musashino Red Cross Hospital Pharmacy Department / Meiji Pharmaceutical University Clinical Pharmacy Laboratory Ryuichiro Hosoya Meiji Pharmaceutical University Clinical Pharmacy Laboratory Professor Hajime Kagaya Meiji Pharmaceutical University Clinical Pharmacy Laboratory Associate Professors Yoshihiro Uesawa and Reiko Nozawa
Hiccups are a symptom experienced by many people. Although it rarely directly affects life, intractable hiccups are said to lead to insomnia, depression, etc. In particular, for patients undergoing treatment for a disease, drug-induced hiccups not only hinder treatment, but may also affect the selection of appropriate treatment. However, there have been few reports of drug side effects, and the relationship is unclear. Therefore, we used a large-scale adverse drug event database (Japanese Adverse Drug Event Report database: JADER) to search for drugs that cause hiccups. JADER consists of four data tables, and each table was combined using JMP. A comprehensive 2 x 2 contingency table was created based on the presence or absence of hiccups and the presence or absence of each drug, and odds ratios and P values of Fisher's exact test were calculated. By plotting a volcano plot with the natural logarithm of the odds ratio on the X axis and the common logarithm of the reciprocal of the P value of Fisher's exact test on the Y axis, we succeeded in extracting and visualizing drugs that affect the onset of hiccups from among many pharmaceuticals. Furthermore, by performing multivariate analysis together with patient information, we were able to evaluate related physical information. These methods using JMP make it possible to extract and visualize necessary factors from large-scale adverse drug reaction databases, and are therefore useful in clinical medicine.
