临床药师对华法林药物相互作用的病例分析和干预

目的：通过临床药师对1例华法林药物相互作用的病例分析和干预,探讨药师在临床治疗中发挥的作用。方法：针对病例的用药情况,从药物相互作用角度,探讨分析合并用药对华法林抗凝作用影响的机制。结果：胺碘酮是增强华法林抗凝作用的主要因素,临床药师协助医师为患者制定了安全、有效的治疗方案。结论：临床药师参与药物治疗方案的制定,可为医师、患者双方提供安全、有效的用药方案。     

中西药物的合理联用

根据近年来中西药物相互作用的有关文献,结合医学、药学、中医药学理论与临床工作实践,对中西药物药效学相互作用及机制进行分析、归纳与总结。部分中西药物合用后,疗效增强、不良反应和毒副作用降低、用药量减少、疗程缩短等,显示了合理联用中西药的优越性。     

Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers

Symptom checkers are software tools that allow users to submit a set of symptoms and receive advice related to them in the form of a diagnosis list, health information or triage. The heterogeneity of their potential users and the number of different components in their user interfaces can make testing with end-users unaffordable. We designed and executed a two-phase method to test the respiratory diseases module of the symptom checker Erdusyk. Phase I consisted of an online test with a large sample of users (n = 53). In Phase I, users evaluated the system remotely and completed a questionnaire based on the Technology Acceptance Model. Principal Component Analysis was used to correlate each section of the interface with the questionnaire responses, thus identifying which areas of the user interface presented significant contributions to the technology acceptance. In the second phase, the think-aloud procedure was executed with a small number of samples (n = 15), focusing on the areas with significant contributions to analyze the reasons for such contributions. Our method was used effectively to optimize the testing of symptom checker user interfaces. The method allowed kept the cost of testing at reasonable levels by restricting the use of the think-aloud procedure while still assuring a high amount of coverage. The main barriers detected in Erdusyk were related to problems understanding time repetition patterns, the selection of levels in scales to record intensities, navigation, the quantification of some symptom attributes, and the characteristics of the symptoms.     

Standardization for Subgroup Analysis in Randomized Controlled Trials

Randomized controlled trials (RCTs) emphasize the average or overall effect of a treatment (ATE) on the primary endpoint. Even though the ATE provides the best summary of treatment efficacy, it is of critical importance to know whether the treatment is similarly efficacious in important, predefined subgroups. This is why the RCTs, in addition to the ATE, also present the results of subgroup analysis for preestablished subgroups. Typically, these are marginal subgroup analysis in the sense that treatment effects are estimated in mutually exclusive subgroups defined by only one baseline characteristic at a time (e.g., men versus women, young versus old). Forest plot is a popular graphical approach for displaying the results of subgroup analysis. These plots were originally used in meta-analysis for displaying the treatment effects from independent studies. Treatment effect estimates of different marginal subgroups are, however, not independent. Correlation between the subgrouping variables should be addressed for proper interpretation of forest plots, especially in large effectiveness trials where one of the goals is to address concerns about the generalizability of findings to various populations. Failure to account for the correlation between the subgrouping variables can result in misleading (confounded) interpretations of subgroup effects. Here we present an approach called standardization, a commonly used technique in epidemiology, that allows for valid comparison of subgroup effects depicted in a forest plot. We present simulations results and a subgroup analysis from parallel-group, placebo-controlled randomized trials of antibiotics for acute otitis media.     

Bayesian Assessment of the Influence and Interaction Conditions in Multipopulation Tailoring Clinical Trials

Multipopulation tailoring trials provide a trial design option that supports the realization of tailored therapeutics or personalized medicine. Several recent publications have focused on statistical and clinical considerations that arise in these trials that are designed to study the overall treatment effect in a population of interest as well as one or more prospectively defined subpopulations. Millen et al. (2012 Millen , B. A. , Dmitrienko , A. , Ruberg , S. , Shen , L. ( 2012 ). A statistical framework for decision making in confirmatory multipopulation tailoring clinical trials . Drug Information Journal 46 : 647 – 656 .[Web of Science ®] , [Google Scholar]) introduced the influence and interaction conditions as part of a general framework to facilitate decision making in multipopulation trials. This article provides Bayesian methods for assessing the influence and interaction conditions. The methods introduced are illustrated using case studies based on clinical trials with biomarker-driven designs.     

药动学视域下植物药与西药的相互作用探究

目的本文主要对药动学下植物药与西药的互相作用进行分析。方法对植物药与西药的药用进行调查,并分析二者的机制和特点,从而总结出研究方法。结果对植物药和西药进行研究,并对其互相作用机制进行调查后发现,二者互相作用的机制主要基于药物代谢和糖蛋白水平。按照不同的方法进行提取和加成,都会对二者的互相作用造成严重影响。结论在使用药物之前要注意考虑到二者所发生的相互作用,并提高警惕。     

间质金属蛋白酶基因多态性与中心性肥胖在非酒精性脂肪肝病中交互作用研究

目的 探讨间质金属蛋白酶-9(MMP-9)-1562C/T(rs3918242)以及MMP-2-1306C/T(rs243865)位点单核苷酸多态性(SNP)与非酒精性脂肪肝(NAFLD)遗传易感性以及与中心性肥胖交互作用。方法 对545例NAFLD患者和636例正常对照,采用聚合酶链反应-限制性片段长度多态性(PCR-RFLP)分析rs24386以及rs3918242基因型、非条件logistic分析各基因型与脂肪肝发病易感性关系,利用非条件logistic分析和广义多因子降维(GMDR)法分析rs3918242、rs243865与中心性肥胖的交互作用。结果 MMP-9 rs3918242位点T基因携带者(TT/CT)与非T基因携带者(CC)的NAFLD罹患风险明显增加(OR=1.67,95%CI:1.32～2.12,P=0.001;调整OR=1.65,95%CI:1.31～2.01,P=0.008);而MMP-2 rs243865位点T基因携带者(TT/CT)与非T基因携带者(CC)的NAFLD罹患风险明显降低(OR=0.68,95%CI:0.53～0.86,P=0.001;调整OR=0.66,95%CI:0.49～0.90,P=0.007)。广义多因子降维法分析结果显示,rs3918242与中心性肥胖在NAFLD发病中存在交互作用(P=0.001)。利用非条件logistic校正年龄、性别、腰围、BMI、LDL-C、HDL-C、FPG、胰岛素抵抗指数后,分析显示,携带rs3918242 TT/CT基因型中心性肥胖个体罹患NAFLD的风险高于携带CC基因非吸烟个体(OR=4.50,95%CI:2.78～7.17,P=0.007)。结论 MMP-9基因的rs3918242以及MMP-2基因的rs243865与NAFLD患病罹患风险紧密相关,rs3918242与中心性肥胖在NAFLD发病中具有协同效应。     

基于模型的多因子降维方法在基因-基因/环境交互作用分析中的应用

介绍一种基于模型的多因子降维方法(MB-MDR),并通过实例说明其分析流程及其在基因-基因/环境交互作用分析中的应用。结果显示该方法可用于原始样本量较小的资料研究,同时也能解决许多经典MDR方法的不足;与其他MDR扩展方法相比,在探索交互作用方面具有更高的统计效能,并已成功应用于膀胱癌、湿疹等研究。MB-MDR能够处理二元性状和数量性状,并可在模型中调整因子的边际效应和混杂因子,与其他非参数方法相比具有一定优势。因此MB-MDR在基因-基因/环境交互作用分析中具有较好的应用前景。