| アブストラクト | Population aging is a global phenomenon, and choosing appropriate medical care for the elderly is critical. Polypharmacy is suspected to increase the risk of adverse events (AEs) in older patients. We examined the AE profiles associated with polypharmacy and aging using the Japanese Adverse Drug Event Report (JADER) database. We attempted to mitigate the effect of patient-related factors using a multiple-logistic regression technique and data subsetting. We selected case reports for AEs as specified in the Medical Dictionary for Regulatory Activities (MedDRA). The association between polypharmacy and "renal disorder" or "hepatic disorder" was evaluated using reporting odds ratio (ROR) and adjusted for covariates using multiple-logistic regression. For renal disorder, advanced polypharmacy showed higher adjusted RORs, because the value of administered drugs group [1.82 (1.76-1.88), >/= 10] was higher than that of the number of administered drugs group [1.27 (1.24-1.31), 5-9]. The lower limit of the 95% confidence interval (CI) of adjusted ROR for age (>/= 60 years) was > 1 for renal disorder. For hepatic disorder, the adjusted RORs were as follows: 1.17 (1.14-1.20) for the number of administered drugs group (5-9) and 1.14 (1.11-1.18) for the number of administered drugs group (>/= 10). The adjusted RORs of hepatic disorder compared to those of renal disorder had lower adjusted RORs related to the increase in the number of administered drugs. Therefore, elderly individuals should be closely monitored for the occurrence of renal disorder when they are subjected to polypharmacy. This approach might apply to the simultaneous evaluation of the AE risk of polypharmacy and aging. |
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| ジャーナル名 | PloS one |
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| Pubmed追加日 | 2017/12/22 |
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| 投稿者 | Abe, Junko; Umetsu, Ryogo; Uranishi, Hiroaki; Suzuki, Honami; Nishibata, Yuri; Kato, Yamato; Ueda, Natsumi; Sasaoka, Sayaka; Hatahira, Haruna; Motooka, Yumi; Masuta, Mayuko; Nakamura, Mitsuhiro |
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| 組織名 | Laboratory of Drug Informatics, Gifu Pharmaceutical University, Daigaku-nishi,;Gifu, Japan.;Medical Database Co., Ltd., Higashi, Shibuya-ku, Tokyo, Japan. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/29267348/ |
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