Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, MAHSC (Manchester Academic Health Sciences Centre), Manchester, United Kingdom.
National Institute for Health Research Greater Manchester Patient Safety Translational Research Centre, University of Manchester, MAHSC, Manchester, United Kingdom.
JAMA Neurol. 2018 Aug 1;75(8):929-938. doi: 10.1001/jamaneurol.2018.0333.
People with epilepsy are at increased risk of mortality, but, to date, the cause-specific risks of all unnatural causes have not been reported.
To estimate cause-specific unnatural mortality risks in people with epilepsy and to identify the medication types involved in poisoning deaths.
DESIGN, SETTING, AND PARTICIPANTS: This population-based cohort study used 2 electronic primary care data sets linked to hospitalization and mortality records, the Clinical Practice Research Datalink (CPRD) in England (from January 1, 1998, to March 31, 2014) and the Secure Anonymised Information Linkage (SAIL) Databank in Wales (from January 1, 2001, to December 31, 2014). Each person with epilepsy was matched on age (within 2 years), sex, and general practice with up to 20 individuals without epilepsy. Unnatural mortality was determined using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes V01 through Y98 in the Office for National Statistics mortality records. Hazard ratios (HRs) were estimated in each data set using a stratified Cox proportional hazards model, and meta-analyses were conducted using DerSimonian and Laird random-effects models. The analysis was performed from January 5, 2016, to November 16, 2017.
People with epilepsy were identified using primary care epilepsy diagnoses and associated antiepileptic drug prescriptions.
Hazard ratios (HRs) for unnatural mortality and the frequency of each involved medication type estimated as a percentage of all medication poisoning deaths.
In total, 44 678 individuals in the CPRD and 14 051 individuals in the SAIL Databank were identified in the prevalent epilepsy cohorts, and 891 429 (CPRD) and 279 365 (SAIL) individuals were identified in the comparison cohorts. In both data sets, 51% of the epilepsy and comparison cohorts were male, and the median age at entry was 40 years (interquartile range, 25-60 years) in the CPRD cohorts and 43 years (interquartile range, 24-64 years) in the SAIL cohorts. People with epilepsy were significantly more likely to die of any unnatural cause (HR, 2.77; 95% CI, 2.43-3.16), unintentional injury or poisoning (HR, 2.97; 95% CI, 2.54-3.48) or suicide (HR, 2.15; 95% CI, 1.51-3.07) than people in the comparison cohort. Particularly large risk increases were observed in the epilepsy cohorts for unintentional medication poisoning (HR, 4.99; 95% CI, 3.22-7.74) and intentional self-poisoning with medication (HR, 3.55; 95% CI, 1.01-12.53). Opioids (56.5% [95% CI, 43.3%-69.0%]) and psychotropic medication (32.3% [95% CI, 20.9%-45.3%)] were more commonly involved than antiepileptic drugs (9.7% [95% CI, 3.6%-19.9%]) in poisoning deaths in people with epilepsy.
Compared with people without epilepsy, people with epilepsy are at increased risk of unnatural death and thus should be adequately advised about unintentional injury prevention and monitored for suicidal ideation, thoughts, and behaviors. The suitability and toxicity of concomitant medication should be considered when prescribing for comorbid conditions.
癫痫患者的死亡率较高,但迄今为止,尚未报告所有非自然原因的特定病因死亡率。
评估癫痫患者非自然原因死亡的特定病因风险,并确定涉及中毒死亡的药物类型。
设计、地点和参与者:这项基于人群的队列研究使用了 2 个电子初级保健数据集,这些数据集与住院和死亡率记录相关联,一个是英格兰的临床实践研究数据链接(CPRD)(从 1998 年 1 月 1 日至 2014 年 3 月 31 日),另一个是威尔士的安全匿名信息链接(SAIL)数据库(从 2001 年 1 月 1 日至 2014 年 12 月 31 日)。每个癫痫患者都与年龄(相差不超过 2 年)、性别和一般实践相匹配,最多可与 20 名无癫痫的个体相匹配。非自然死亡通过国家统计局死亡率记录中的国际疾病和相关健康问题第十次修订代码 V01 到 Y98 来确定。在每个数据集中,使用分层 Cox 比例风险模型估计危险比(HR),并使用 DerSimonian 和 Laird 随机效应模型进行荟萃分析。分析于 2016 年 1 月 5 日至 2017 年 11 月 16 日进行。
通过初级保健癫痫诊断和相关抗癫痫药物处方确定癫痫患者。
非自然死亡率的危险比(HR)和每种涉及药物类型的频率,作为所有药物中毒死亡的百分比估计。
在 CPRD 中共有 44678 名个体和 SAIL Databank 中有 14051 名个体被确定为现患癫痫队列,而在 CPRD 中有 891429 名个体和 SAIL 中有 279365 名个体被确定为比较队列。在这两个数据集,51%的癫痫和对照组患者为男性,CPRD 队列的中位年龄为 40 岁(四分位距,25-60 岁),SAIL 队列的中位年龄为 43 岁(四分位距,24-64 岁)。与对照组相比,癫痫患者死于任何非自然原因(HR,2.77;95%CI,2.43-3.16)、非故意损伤或中毒(HR,2.97;95%CI,2.54-3.48)或自杀(HR,2.15;95%CI,1.51-3.07)的可能性显著更高。在癫痫队列中,特别明显的风险增加见于非故意药物中毒(HR,4.99;95%CI,3.22-7.74)和故意用药物自我中毒(HR,3.55;95%CI,1.01-12.53)。在癫痫患者中毒死亡中,阿片类药物(56.5%[95%CI,43.3%-69.0%])和精神药物(32.3%[95%CI,20.9%-45.3%])比抗癫痫药物(9.7%[95%CI,3.6%-19.9%])更为常见。
与无癫痫患者相比,癫痫患者非自然死亡的风险增加,因此应充分告知其预防非故意损伤,并监测自杀意念、想法和行为。在为合并症开具药物时,应考虑同时服用的药物的适用性和毒性。