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左乙拉西坦在脑卒中后癫痫患者中的群体药动学研究
                                                                                             Δ


          刘晨茜    1, 2* ,吴 茵  1, 2 # ,贾彩云 ,崔 赛 ,吴惠珍 ,王素星(1.河北医科大学药学院,石家庄 050017;2.河北省
                                                       2
                                      2
                                              2
                                                               3
          人民医院药学部/河北省临床药学重点实验室,石家庄 050051;3.河北省人民医院老年心血管内二科,石家
          庄 050051)

          中图分类号  R969.1      文献标志码  A      文章编号  1001-0408(2025)05-0594-06
          DOI  10.6039/j.issn.1001-0408.2025.05.16


          摘   要  目的  建立中国脑卒中后癫痫(PSE)患者的左乙拉西坦(Lev)群体药动学模型,为Lev在PSE患者中个体化治疗方案的制
          订提供参考。方法  回顾性收集符合纳入标准的PSE患者的血药浓度与临床诊疗信息,根据随机数法按8∶2比例划分为模型组与
          验证组。基于模型组数据,采用非线性混合效应法构建群体药动学模型,通过拟合优度检验和自举法开展内部评价,并用验证组
          数据进行外部验证。结果  共收集到70例PSE患者的75个血药浓度数据,其中55例患者的60个血药浓度数据用于建立模型,15
          例患者的15个血药浓度数据用于外部验证。最终模型清除率的群体典型值为2.98 L/h;估算肾小球滤过率、每日给药剂量、同型
          半胱氨酸水平对 Lev 的清除率均有显著影响(P<0.01);拟合优度检验、自举法及外部验证结果均提示所建模型预测性能良好。
          结论  每日给药剂量、肾小球滤过率和同型半胱氨酸水平为影响中国PSE患者Lev清除率变化的重要协变量。临床决策时应综合
          考虑患者的治疗反应、生理病理情况及不良反应发生情况等,以群体药动学模型结果为依据调整给药剂量。
          关键词  左乙拉西坦;脑卒中后癫痫;群体药动学;个体化用药;清除率


          Study on population pharmacokinetics of levetiracetam in post-stroke epilepsy patients
          LIU Chenxi ,WU Yin ,JIA Caiyun ,CUI Sai ,WU Huizhen ,WANG Suxing(1. College of Pharmacy, Hebei
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                    1, 2
                               1, 2
                                            2
          Medical  University,  Shijiazhuang  050017,  China;2.  Dept.  of  Pharmacy/Hebei  Key  Laboratory  of  Clinical
          Pharmacy,  Hebei  General  Hospital,  Shijiazhuang  050051,  China;3.  Dept.  Two  of  Senile  Cardiovascular
          Disease, Hebei General Hospital, Shijiazhuang 050051, China)
          ABSTRACT    OBJECTIVE To establish population pharmacokinetic model of levetiracetam (Lev) for Chinese patients with post-
          stroke  epilepsy (PSE),  and  provide  reference  for  formulating  individualized  dosing  regimens  for  Lev  therapy  in  this  specific
          population.  METHODS  Blood  concentration  data  and  clinical  diagnosis  and  treatment  information  of  PSE  patients  meeting  the
          inclusion  criteria  were  retrospectively  collected  and  divided  into  model  group  and  validation  group  at  an  8∶2  ratio  using  a  random
          number method. Based on the model group data, a population pharmacokinetic model was developed using nonlinear mixed-effects
          modeling.  Internal  evaluation  was  performed  through  goodness-of-fit  tests  and  bootstrap  analysis,  while  external  validation  was
          conducted  using  the  validation  group  data.  RESULTS  A  total  of  75  blood  concentration  measurements  from  70  PSE  patients  were
          collected, with 60 measurements from 55 patients used for model development and 15 measurements from 15 patients reserved for
          external  validation.  The  final  model  estimated  a  population  typical  value  of  clearance  at  2.98  L/h.  Estimated  glomerular  filtration
          rate, daily dose, and homocysteine level significantly influenced clearance of Lev (P<0.01). The model demonstrated satisfactory
          predictive performance, as evidenced by goodness-of-fit tests, bootstrap analysis, and external validation results. CONCLUSIONS
          Daily  dose,  estimated  glomerular  filtration  rate,  and  homocysteine  level  are  identified  as  significant  covariates  influencing  Lev
          clearance  in  Chinese  PSE  patients.  When  making  clinical  decisions,  comprehensive  consideration  should  be  given  to  the  patient’s
          treatment  response,  physiological  and  pathological  conditions,  and  the  occurrence  of  adverse  reactions,  etc.  The  dosage  of
                                                              Lev  should  be  adjusted  based  on  the  results  of  population
              Δ 基金项目 河北省自然科学基金项目(No.H2019307100);河北
          省医学适用技术跟踪项目(No.gz2024013)                           pharmacokinetic model.
             * 第一作者 硕 士 研 究 生 。 研 究 方 向 :临 床 药 学 。 E-mail:    KEYWORDS    levetiracetam;  post-stroke  epilepsy;  population
          zaiyuzhoude@163.com                                 pharmacokinetics; individualized medication; clearance
              # 通信作者 副主任药师,硕士生导师,博士。研究方向:临床药
          学。E-mail:wuyin82@163.com


          · 594 ·    China Pharmacy  2025 Vol. 36  No. 5                               中国药房  2025年第36卷第5期
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