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真实世界中苦碟子注射液不同疗程对肝肾功能指标变化影响的分析 被引量:8

Data analysis of real world clinical changes in indexes of liver and kidney function to use of parenterally administered Kudiezi at different doses and time periods
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摘要 该研究是基于全国18家大型三甲医院信息管理系统(hospital information system,HIS)中所有使用苦碟子注射液(KDZ)住院患者临床用药信息数据仓库的回顾性分析。根据使用KDZ不同疗程分为2组,1 707例病人使用疗程≤14 d,275例病人使用疗程>14 d。运用倾向性评分方法对比2组人群在用药后肝功能指标谷丙转氨酶(ALT)和谷草转氨酶(AST)、肾功能指标肌酐(Cr)和尿素氮(BUN)的变化,为KDZ临床安全用药提供有用信息。运用generalized boosted models(GBM)倾向评分加权法,消除71个已知混杂因素在组间的差异,如年龄、性别、住院病情等,使结果更加贴近临床真实情况。同时使用另外2种Logistic回归分析确证GBM的分析结果,发现2组人群肝肾功能指标除了AST估计出来的平均处理效应有统计学差异外(P<0.05),其余3个指标均无统计学差异。这不足以说明疗程>14 d使用KDZ会导致肝肾功能发生异常变化。倾向性评分方法为一种有效控制混杂偏倚的统计分析方法,但真实世界还存在诸多未知潜在混杂因素,因此有待将来前瞻性研究或更高级的混杂因素分析方法进行验证。 This is a retrospective study based on a 18 hospital information system data warehouse. Records of 1 982 patients who used Kudiezi intravenous infusion (KDZ) were extracted from the data warehouse. All the patients were divided into two groups, one group of 1 707 patients used KDZ, ~〈 14 days under the instruction, the other group of 275 patients used KDZ, 〉 14 days, off label use. Generalized boosted models (GBM) with propensity score were applied to compare the two groups on four indexes of liver and kid- ney functions, such as alanine aminotransferase(ALT), aspartate aminotransferase (AST), creatinine (Cr) and blood urea nitrogen (BUN). Seventy one confounder~ were identified and balanced by GBM. And another two logistic analysis methods were used to con- firm the results from GBM. The results indicated that there were no significant difference on the four indexes except the AST (P 〈 O. 05 ) by all the three analyzing models. It is hard to conclude that ultra long, off label using Kudiezi intravenous infusion could influ- ence the four indexed of liver and kidney from this data analysis. More conclusive evidence should be collected by further prospective study.
出处 《中国中药杂志》 CAS CSCD 北大核心 2013年第18期3084-3091,共8页 China Journal of Chinese Materia Medica
基金 国家"重大新药创制"科技重大专项(2009ZX09502-030) 国家自然科学基金青年基金项目(81202776) 中国中医科学院第7批自主选题项目(Z0255) 中国中医科学院客座研究员联合创新研究项目(ZZ070817)
关键词 苦碟子注射液 肝功能 肾功能 倾向评分 医院信息系统 parenterally administered Kudiezi liver function kidney function propensity score hospital information system
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参考文献10

  • 1Rosenbaum P R, Rubin D B. The central role of the propensity score in observational studies for causal effects[ J]. Biometrika, 1993,70( 1 ) :41.
  • 2王永吉,蔡宏伟,夏结来,蒋志伟.倾向指数:第一讲 倾向指数的基本概念和研究步骤[J].中华流行病学杂志,2010,31(3):347-348. 被引量:92
  • 3Dahabreh I J, Sheldrick R C, Paulus J K, et al. Do observational studies using propensity score methods agree with randomized tri- Ms A systematic comparison of studies on acute coronary syn- dromes [ J ]. Eur Heart J, 2012, 33 ( 15 ) : 1893.
  • 4郑亮,夏结来,王素珍,蔡宏伟,钟成梁,辛卫权.非随机化临床试验中倾向指数的应用[J].现代预防医学,2009,36(15):2805-2806. 被引量:19
  • 5叶晓勤,杨伟,谢雁鸣,王永炎.基于倾向性评分的中医复杂干预临床疗效评价[J].中国中医基础医学杂志,2012,18(2):218-220. 被引量:44
  • 6Ridgeway G. The state of boosting[ J]. Comput Sci Stat, 1999, 31:172.
  • 7Kimball A B, Pariser D, Yamauchi P S, et al. OBSERVE-5 in- terim analysis: an observational postmarketing safety registry of etanercept for the treatment of psoriasis[J]. J Am Acad Derma- tol,2013, 68(5) :756.
  • 8Curtis L H, Weiner M G, Boudreau D M, et al. Design consid- erations, architecture, and use of the mini-sentinel distributeddata system [ J ]. Pharmacoepidemiol Drug Saf,2012, 21 : 23.
  • 9谢雁鸣,廖星,申浩.美国FDA“迷你哨点监测研究计划”的解读[J].中国中药杂志,2013,38(5):768-772. 被引量:5
  • 10McCaffrey D F, Griffin B A, Almirall D, et al. A tutorial on pro- pensity score estimation for multiple treatments using generalized boosted models[ J]. Stat Med,2013, 32(19) :3388.

二级参考文献41

  • 1Alex Z Fu,唐艳,陈刚.倾向得分法综述[J].中国药物经济学,2008,0(2):27-34. 被引量:15
  • 2Shenyang Guo, Richard P Barth, Claire Gibbons. Propensity score matching strategies for evaluating substance abuse services for child welfare clients [J]. Children and Youth Services Review, 2006, 28 : 357-383.
  • 3Concato J, Shah N, Horwitz RI. Randomized, controlled trials, observational studies, and the hierarchy of research designs [J]. N Engl J Med, 2000, 342: 1887-1892.
  • 4Miettinen OS. Stratification by a multivariate confounder score [J]. Am J Epidemiol. 1976, 104: 609-620.
  • 5Helena Marti, Jon Perez-Bareena, Miquel Fiol. Analysis with the propensity score of the association between likelihood of treatment and event of interest in observational studies [J]. An example with myocardial reperfusion, 2005, 58: 126-136.
  • 6Rosenbaum, P.R., Rubin, D.B. The central role of the propensity score in observational studies for causal effects[J]. Biometrika, 1983, 70: 41-55.
  • 7Til Sturmer, Manisha Joshi, Robert I. Glynn. A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different esti- mates compared with conventional muhivariable methods [JJ. Journal of Clinical Epidemiology, 2006, 59 : 437-447.
  • 8Andrew C. Leon, Donald Hedeker. Quintile stratification based on a misspeeified propensity score in longitudinal treatment effectiveness analyses of ordinal doses [J].Computational Statistics & Data Analysis, 2007, 51: 6114-6122.
  • 9Rajeev Dehejia. Practical propensity score matching: a reply to Smith and Todd [J]. Journal of Econometrics, 2005, 125: 355- 364.
  • 10Jeffrey A. Smith, Petra E. Todd. Does matching overcome LaLonde' s critique of nonexperimental estimators [J]? Journal of Econometrics, 2005, 125: 305-353.

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