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多病症共存与慢性共开处方网络以及成年癫痫患者中的潜在相互作用:Morbinet 研究。

Multimorbidity and chronic co-prescription networks and potential interactions in adult patients with epilepsy: MorbiNet study.

机构信息

Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Barcelona, Spain.

Molecular Mechanisms and Experimental Therapy in Oncology (ONCOBELL) Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.

出版信息

Neurol Sci. 2022 Dec;43(12):6889-6899. doi: 10.1007/s10072-022-06375-3. Epub 2022 Sep 5.

Abstract

We constructed epilepsy multimorbidity networks to study associations with chronic conditions, and co-prescriptions and drug-disease networks to assess potential interactions. We conducted a population-based study in Catalonia, Spain, with electronic files of 3,135,948 adult patients with multimorbidity, 32,625 of them with epilepsy (active diagnosis any time during 2006-2017). We constructed epilepsy comorbidity networks using logistic regression models from odds ratio estimates adjusted by age, sex, and comorbidities with R software and generated trajectories to study the progression of epilepsy. We constructed drug-disease and co-prescription networks using mixed models with repeated measures adjusting by age, sex, and period with chronic prescription invoiced data. Comorbidity more frequently preceding epilepsy included cerebrovascular accident (OR: 3.59), congenital anomalies (2.18), and multiple sclerosis (1.33); and following epilepsy: dementia (1.91), personality disorder (1.59), alcohol abuse (1.22), and Parkinson (1.21). Mental retardation (13.08), neurological cancer (8.49), benign neoplasm (4.69), infections (3.14), and psychosis (1.58) might precede or not epilepsy. A common progression was to schizophrenia, dementia, and other neurological diseases (mainly cerebral palsy and other degenerative diseases of nervous system). Co-prescription associations with major-moderate potential interactions were 54% for carbamazepine, 61% phenytoin, 53% phenobarbital, and 32% valproate. Major potential interactions were with antipsychotic, anxiolytic, opioid, cardiovascular, and other anti-seizure medications (ASMs). The most frequent comorbidities of epilepsy were congenital, cerebrovascular, and neurological and psychiatric conditions. High comorbidity and co-prescription with potential interactions can increase the complexity of care of patients with epilepsy.

摘要

我们构建了癫痫共病网络,以研究与慢性疾病的关联,并构建了共用药和药物-疾病网络,以评估潜在的相互作用。我们在西班牙加泰罗尼亚进行了一项基于人群的研究,纳入了 3135948 名患有多种疾病的成年患者的电子档案,其中 32625 名患有癫痫(2006-2017 年期间任何时间有活跃诊断)。我们使用 R 软件,通过对年龄、性别和共病进行调整的比值比估计,构建了癫痫共病网络,并生成轨迹来研究癫痫的进展。我们使用包含重复测量的混合模型,结合慢性处方发票数据,构建了药物-疾病和共用药网络。在癫痫之前更常见的共病包括脑血管意外(比值比:3.59)、先天畸形(2.18)和多发性硬化症(1.33);在癫痫之后更常见的共病包括痴呆(1.91)、人格障碍(1.59)、酒精滥用(1.22)和帕金森病(1.21)。智力迟钝(13.08)、神经癌(8.49)、良性肿瘤(4.69)、感染(3.14)和精神病(1.58)可能先于或不伴有癫痫。一个常见的进展是发展为精神分裂症、痴呆和其他神经疾病(主要是脑瘫和其他神经系统退行性疾病)。与主要-中度潜在相互作用的共用药关联为卡马西平 54%、苯妥英 61%、苯巴比妥 53%和丙戊酸钠 32%。主要潜在相互作用是与抗精神病药、抗焦虑药、阿片类药物、心血管药物和其他抗癫痫药物(ASMs)。癫痫最常见的共病是先天性、脑血管和神经精神疾病。高共病和潜在相互作用的共用药会增加癫痫患者的治疗复杂性。

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