基于真实世界数据探讨中医药治疗糖尿病肾病用药规律的研究＊

目的 基于临床信息系统分析总结真实世界的数据，采用数据挖掘的方法探讨中医药治疗糖尿病肾病的用药规律。方法 收集2018年1月-2020年12月上海中医药大学附属曙光医院宝山分院健康信息系统确诊的糖尿病肾病的门诊或住院患者的诊疗信息，建立Excel数据库，采用Excel 2010软件统计高频药物的四气、五味、归经及功效；使用SPSS Modeler 18.0软件中的Apriori算法分析关联规则，采用web节点建构药对关联网状图；运用SPSS 25统计软件进行因子分析。结果 本研究最终纳入477例接受中药饮片治疗的DKD患者，在1203条方剂信息中，涉及中药462种；使用频数排名前5位的中药分别是黄芪、黄精、石斛、山茱萸、麦冬；使用频数前5类的中药类别分别是补气药、补阴药、清热燥湿药、活血调经药、息风止痉药；在30味高频药物中，苦、甘、辛药味最为常见；药性寒、温数量接近；归脾经、肝经、肺经、肾经居多；关联规则提示，药物组合中置信度最高的组合为地龙-当归-僵蚕，因子分析共得到5个有效因子，累积贡献率为47.33%。结论 中医药治疗DKD在补益气血阴阳的同时，兼顾对瘀血、湿邪和痰饮的治疗，结合证型，可考虑使用黄芪、黄精、石斛、山茱萸、麦冬、金蝉花等药物的使用，清热燥湿药物如黄连、黄芩、黄柏可适当加入，为使邪有去处，大黄、车前子或可增添疗效。     

基于复杂网络技术对电针治疗乳腺增生病处方分析

目的基于复杂网络技术分析电针治疗乳腺增生病的核心穴位及配伍穴相关性,并对电针波型进行探讨。方法检索中国期刊全文数据库(CNKI)、万方数据库、维普网数据库(VIP)中从1954年1月1日到2018年12月31日公开发表的电针治疗乳腺增生病的临床中文文献,利用Excel表格工具建立电针治疗乳腺增生病数据库,利用Matlab2014a软件进行节点中心性分析和聚类分析,利用Gephi0.9.1软件制作复杂网络示意图对分析结果进行描述和展示,利用Excel表格工具制作电针治疗乳腺增生病不同波形比例饼状图并分析其规律。结果选定43条电针处方:电针治疗乳腺增生病主穴核心度前三位依次为膻中穴、足三里、肩井穴;配伍穴位核心度前三位依次为太冲穴、太溪穴、脾俞穴;经络核心度前三位依次为足阳明胃经、任脉、足少阳胆经。配伍穴位相关性分析中,相关性频度前三位组合依次为太冲穴-太溪穴、太冲穴-肾俞穴、太冲穴-三阴交。电针波形中以连续波与疏密波常见,均具有较高的临床应用价值。结论电针治疗乳腺增生病处方以足阳明胃经为最多,其次为任脉;电针波型以连续波为主。     

中药复方配伍的研究方法及其进展

中药复方是由2味或2味以上中药遵循中医理论组合而成的方剂。多味中药在合适的剂量配比之下,协同发挥作用,实现中医的整体调节治疗。研究中药复方的配伍对推动中药现代化发展、新药开发以及临床应用有着重要意义。近年来,研究者们在传统的"七情和合"与"君臣佐使"的基础上,运用新技术和新方法对中药复方的成分、药效活性和药代动力学性质等进行了研究,从不同角度探讨了中药复方配伍的科学内涵。同时,多种数理方法和模型的建立、网络药理学和数据挖掘方法的发展与应用,也对中药复方配伍研究提供了很大帮助。研究方法的发展虽促进了中药复方配伍的科学研究,但还需进一步建立适合中药复方配伍复杂关系的研究方法,以阐明中药复方及其成分/组分配伍的内在规律,进而构建新的现代中药复方,这也是目前中药复方配伍研究的重点任务。     

Developmental aspects of children's behavior and safety while cycling

OBJECTIVE: To examine children's competence while cycling, as demonstrated in mistakes in performance and failure to comply with safety rules. METHODS: Children in three age groups (8, 10, and 12 years) participated in a realistic yet simulated traffic environment. RESULTS: The boys' cycling speed increased steadily with age, while that of the girls increased from 8 to 10 but decreased at age 12. Most children had adequate motor control by age 10, and the youngest compensated for their less developed skills by cycling slowly and braking early at junctions. Serious mistakes, often related to the children's age and gender, consisted of the children failing to stop at signals or stopping too late, especially at short stopping range. CONCLUSIONS: There are considerable individual differences in children's cycling competence that are related to biological factors, such as age and gender, and psychological factors, such as rule compliance and choice of cycling speed.     

A Computer Reconstruction of the Entire Coronary Arterial Tree Based on Detailed Morphometric Data

A rigorous analysis of blood flow must be based on the branching pattern and vascular geometry of the full vascular circuit of interest. It is experimentally difficult to reconstruct the entire vascular circuit of any organ because of the enormity of the vessels. The objective of the present study was to develop a novel method for the reconstruction of the full coronary vascular tree from partial measurements. Our method includes the use of data on those parts of the tree that are measured to extrapolate the data on those parts that are missing. Specifically, a two-step approach was employed in the reconstruction of the entire coronary arterial tree down to the capillary level. Vessels > 40 μm were reconstructed from cast data while vessels < 40 μm were reconstructed from histological data. The cast data were reconstructed one-bifurcation at a time while histological data were reconstructed one-sub-tree at a time by “cutting” and “pasting” of data from measured to missing vessels. The reconstruction algorithm yielded a full arterial tree down to the first capillary bifurcation with 1.9, 2.04 and 1.15 million vessel segments for the right coronary artery (RCA), left anterior descending (LAD) and left circumflex (LCx) trees, respectively. The node-to-node connectivity along with the diameter and length of every vessel segment was determined. Once the full tree was reconstructed, we automated the assignment of order numbers, according to the diameter-defined Strahler system, to every vessel segment in the tree. Consequently, the diameters, lengths, number of vessels, segments-per-element ratio, connectivity and longitudinal matrices were determined for every order number. The present model establishes a morphological foundation for future analysis of blood flow in the coronary circulation.     

中药类保健食品中地黄生熟异用的配方规律分析

目的:分析地黄在中药类保健食品中生熟异用下的配方规律。方法:收集国家市场监督管理总局(SAMR)特殊食品信息查询平台公布的生、熟地黄保健食品数据,对其保健功能及中药组方等进行统计,运用Apriori算法和Kulc、不平衡比参数对地黄生熟异用的保健食品配方规律进行分析。结果:保健食品中,生地黄主要用于辅助降血糖,熟地黄主要用于增强免疫力、缓解体力疲劳、改善营养性贫血。在辅助降血糖类生地黄保健食品中,生地黄主要与补气药、补阴药、解表药、解热药配伍,代表性组合为生地黄-黄芪-苦瓜;在增强免疫力类熟地黄保健食品中,熟地黄主要与补气药、补血药、补阴药配伍,代表性组合为熟地黄-党参-阿胶;在缓解体力疲劳类熟地黄保健食品中,熟地黄主要与补气药、补阳药、补阴药配伍,代表性组合为熟地黄-人参-淫羊藿、熟地黄-人参-枸杞子;在改善营养性贫血类熟地黄保健食品中,熟地黄主要与补气药、补血药配伍,代表性组合为熟地黄-黄芪-阿胶、熟地黄-黄芪-当归。结论:地黄在保健食品中的使用遵循生熟异用的规律,在不同保健功能中,组方配伍基本符合中医理论和现代医学理论,可为生、熟地黄保健食品研发提供借鉴和依据。     

基于数据挖掘探讨全国名中医王行宽诊疗胸痹心痛遣方用药规律及学术经验

目的：运用中医传承计算平台V3.0软件,研究王行宽教授治疗胸痹心痛遣方用药规律,传承王行宽教授诊疗胸痹心痛的学术经验。方法：收集整理2017—2020年王行宽教授于湖南中医药大学门诊诊疗冠心病心绞痛患者的原始病历资料,录入中医传承计算平台V3.0,运用软件进行方药规律研究。结果：共收集王行宽教授治疗胸痹心痛处方1 044则,所用药物多为甘、苦药物,归经以肺经为主,其次为心、脾、肝、胃、肾经;所用方剂中使用最多的经方是生脉散,最高的经验方是心痛灵Ⅲ号方;高频数药物主要有麦冬、半夏、丹参、瓜蒌皮、黄连、五味子、柴胡等药物;药物的常用剂量多为3、5、10、15 g;组方规律分析得到常用药组合129个,置信度>0.99的组合有58个,并得到常见证型核心药物;药物聚类得到6个核心药物组合。结论：王行宽教授论治胸痹心痛以益气养营、豁痰化瘀、疏肝利胆为治疗思路,并根据胸痹心痛不同证型予以辨证施治,体现其“多脏调燮、综合治理”的学术思想,其核心处方可供临床从业者参考,但仍需要进一步的临床及实验研究验证其疗效。     

Why is appropriate healthcare inaccessible for many European breast cancer patients? – The EBCC 12 manifesto

In Europe, inappropriate reimbursement and funding rules and regulations act as disincentives to best breast cancer care or, at worst, hinder best care. This problem was the focus of the 12th European Breast Cancer Conference (EBCC) manifesto, discussed during the virtual conference. As patient involvement is indispensable in driving changes to clinical practice, Europa Donna the European patient advocacy group was closely involved in the 12th manifesto.Reimbursement policies have rarely evolved with advances in breast cancer care such as outpatient (ambulatory) care rather than inpatient admission, use of oral or subcutaneous anti-cancer drugs rather than day-hospital intravenous administration, oncoplastic surgery techniques to minimize mastectomy rates, breast reconstructive surgery, risk-reducing surgery for BRCA mutation carriers, or use of hypo-fractionated breast radiation therapy. Although each European country, region and centre will have to understand how their reimbursement policies may hinder best care and find their own solutions, the problems are similar throughout Europe and some solutions can be broadly applied.This manifesto is not calling for more funding or demanding changes that will result in more expensive care. Reimbursement, if better aligned with guidelines and optimal clinical practice, will deliver more cost-effective healthcare. This will release resources, support more equitable use of finite funding and resources, so allowing more European breast cancer patients to benefit from evidence-based treatment recommended by national and international guidelines.     

调畅五脏、调和营卫治疗自汗临证体会

通过分析汗与五脏、营卫的关系,探讨自汗证的病因病机,概括为五脏皆有汗,汗之本为心,汗之化为肾,汗之出为肺,汗之源为脾胃,汗之调为肝。又必以营卫调和为要,汗出方能有节。五脏功能失调、营卫失和均可致自汗。故提出“调畅五脏、调和营卫”的自汗证治则及处方用药,通过典型临床病案,进一步阐释诊疗思路及用药规律。     

基于“病-药-量”探讨《中华医典》含竹沥中药方剂相应规律的数据挖掘

目的 分析《中华医典》中含有竹沥中药方剂“病-药-量”的相应规律,为竹沥的临床诊疗应用及深入研发提供参考。方法 收集整理《中华医典》中含有竹沥的中药方剂,录入Excel 2016构建临证方药数据库,对其病症、证型、药物使用频次、功效类别、性味归经、剂型及用量等进行统计分析,运用SPSS Statistics 22.0、IBM SPSS Modeler 18.0软件进行关联规则、聚类分析等数据挖掘。结果 共收集含竹沥方剂349首,主治病证分类共99种,其中高频病证（≥20次）主要为“中风”“痰饮”“咳嗽”,治疗“中风”证型以风痰瘀阻为主,“痰饮”以饮停胃肠为主,“咳嗽”以痰热郁肺为主;组方中使用频次≥50次的药物有19味,使用频次较高的有生姜、甘草、茯苓、陈皮等,药物功效种类以化痰止咳平喘药、补虚药、清热药为主;药性使用频次最高的为寒性药,其次为温性药,药味多选用甘、苦、辛味,药物归经以脾、胃、心经为主;高频病症剂型及药物用量分析显示,治疗“中风”时,剂型多为汤剂,竹沥用量多为100 mL,核心药物配伍重用防风以祛风化痰,改善脑络痹阻;治疗“痰饮”时,剂型多为丸剂,竹沥用量为200 mL...