Signal detection of oral drug-induced dementia in chronic kidney disease patients using association rule mining and Bayesian confidence propagation neural network
Signal detection of oral drug-induced dementia in chronic kidney disease patients using association rule mining and Bayesian confidence propagation neural network
复制标题
DOI：
10.1691/ph.2019.9426
复制
发表时间：
2019-09-01
期刊：
影响因子：
1.6
通讯作者：
Teramachi, H.
中科院分区：
文献类型：
--
作者：
Noguchi, Y.;Nagasawa, H.;Teramachi, H.
导致慢性肾病（CKD）认知功能障碍的机制包括蛋白尿和氧化应激。然而，可能还有其他尚未确定的原因。事实上，CKD 患者药物使用的全部相关性及其与痴呆的关系几乎没有被研究过。我们通过使用关联规则挖掘 (ARM) 和贝叶斯置信传播神经网络 (BCPNN) 分析日本的自发报告系统，确定了影响 CKD 患者认知功能的药物。使用的信号检测标准如下：case >= 3、lift > 1、信念 > 1 (ARM) 和 IC025 > 0 (BCPNN)。超过20例的药物为伐昔洛韦（提升：11.21，定罪：1.28，IC025：3.12）、金刚烷胺（提升：19.69，定罪：1.68，IC025：3.05）、纳芙拉芬（提升：8.35，定罪：1.19，IC025：2.18）、普瑞巴林（提升：6.05，定罪：1.12，IC025：1.78）和阿昔洛韦（提升：5.89，定罪：1.12，IC025：1.68）。这项研究是第一份利用大型医学数据库来识别与 CKD 中口服药物诱发的痴呆相关药物的报告。
Among the mechanisms responsible for cognitive dysfunction in chronic kidney disease (CKD) are albuminuria and oxidative stress. However, there may be other causes not yet identified. In fact, the full relevance of CKD patient drug use and its relationship to dementia has hardly been barely investigated. We identified drugs affecting cognitive function in CKD patients by analyzing the spontaneous reporting system in Japan using Association rule mining (ARM) and Bayesian confidence propagation neural network (BCPNN). The signal detection criterion used were as follows: case >= 3, lift > 1, conviction > 1 (ARM) and IC025 >0 (BCPNN). Drugs with more than 20 cases were valaciclovir (lift: 11.21, conviction: 1.28, IC025: 3.12), amantadine (lift: 19.69, conviction: 1.68, IC025: 3.05), nalfurafine (lift: 8.35, conviction: 1.19, IC025: 2.18), pregabalin (lift: 6.05, conviction: 1.12, IC025: 1.78), and acyclovir (lift: 5.89, conviction: 1.12, IC025: 1.68). This study is the first report to use a large-scale medical database to identify drugs related to oral drugs-induced dementia in CKD.