Modi Avani C, Rausch Joseph R, Glauser Tracy A
Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA.
JAMA. 2011 Apr 27;305(16):1669-76. doi: 10.1001/jama.2011.506.
Because of epilepsy's common occurrence, the narrow therapeutic and safety margins of antiepileptic medications, and the recognized complications of medication nonadherence in adults with epilepsy, identifying the rates, patterns, and predictors of nonadherence in children with epilepsy is imperative. The onset and evolution of antiepileptic drug nonadherence in children with newly diagnosed epilepsy remains unknown.
To identify and characterize trajectories of adherence in children with newly diagnosed epilepsy over the first 6 months of therapy and to determine sociodemographic and epilepsy-specific predictors of adherence trajectories.
DESIGN, SETTING, AND PATIENTS: Prospective, longitudinal observational study of antiepileptic drug adherence in a consecutive cohort of 124 children (2-12 years old) with newly diagnosed epilepsy at Cincinnati Children's Hospital Medical Center. Patients were recruited from April 2006 through March 2009, and final data collection occurred in September 2009.
Objective adherence measured using electronic monitors.
Fifty-eight percent of children with newly diagnosed epilepsy demonstrated persistent nonadherence during the first 6 months of therapy. Group-based trajectory models identified 5 differential adherence patterns (Bayesian information criterion = -23611.8): severe early nonadherence (13%; 95% confidence interval [CI], 8%-20%), severe delayed nonadherence (7%; 95% CI, 3%-12%), moderate nonadherence (13%; 95% CI, 8%-20%), mild nonadherence (26%; 95% CI, 19%-34%), and near-perfect adherence (42%; 95% CI, 33%-50%). The adherence pattern of most patients was established by the first month of therapy. Socioeconomic status was the sole predictor of adherence trajectory group status (χ(4)(2) = 19.3 [n = 115]; P < .001; partial r(2) = 0.25), with lower socioeconomic status associated with higher nonadherence.
Five trajectory patterns were identified that captured the spectrum of nonadherence to antiepileptic drugs among children with newly diagnosed epilepsy; the patterns were significantly associated with socioeconomic status.
由于癫痫的常见性、抗癫痫药物狭窄的治疗和安全范围,以及成人癫痫患者中公认的药物不依从并发症,确定癫痫儿童不依从的发生率、模式和预测因素势在必行。新诊断癫痫儿童抗癫痫药物不依从的起始和演变情况仍不清楚。
确定并描述新诊断癫痫儿童在治疗的前6个月内的依从轨迹,并确定依从轨迹的社会人口统计学和癫痫特异性预测因素。
设计、地点和患者:对辛辛那提儿童医院医疗中心124名新诊断癫痫的2至12岁儿童连续队列进行前瞻性纵向观察研究,观察抗癫痫药物的依从性。患者于2006年4月至2009年3月招募,最终数据收集于2009年9月进行。
使用电子监测器测量客观依从性。
58%新诊断癫痫儿童在治疗的前6个月表现出持续不依从。基于组的轨迹模型确定了5种不同的依从模式(贝叶斯信息准则=-23611.8):严重早期不依从(13%;95%置信区间[CI],8%-20%)、严重延迟不依从(7%;95%CI,3%-12%)、中度不依从(13%;95%CI,8%-20%)、轻度不依从(26%;95%CI,19%-34%)和近乎完美依从(42%;95%CI,33%-50%)。大多数患者的依从模式在治疗的第一个月就已确定。社会经济地位是依从轨迹组状态的唯一预测因素(χ(4)(2)=19.3[n = 115];P<.001;偏r(2)=0.25),社会经济地位较低与较高的不依从相关。
确定了5种轨迹模式,涵盖了新诊断癫痫儿童抗癫痫药物不依从的范围;这些模式与社会经济地位显著相关。