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。     

Effect of Yinqi Ointment on Wound Morphology and Growth Factor in Treating Diabetic Foot Ulcer

Objective: To investigate the effect of Yinqi ointment on wound morphology and growth factor in treating diabetic foot ulcer(DFU).Methods: From December 2016 to December 2017, 92 cases of DFU with deficiency of both Qi and Yin syndrome were randomly divided into treatment group and control group(44 cases in each group). The treatment group was treated with Yinqi ointment, while the control group was treated with mupirocin ointment. After 4 weeks of treatment, the ulcer healing effect, ulcer area, granulation tissue, epithelial tissue coverage,pain score, and dynamic analysis of vascular endothelial growth factor(VEGF), epidermis growth factor(EGF), and basic fibroblast growth factor(bFGF) in local granulation tissue were statistically analyzed before and after treatment in both groups. Results: The total effective rate was 88.37% in the treatment group and 74.42% in the control group. The wound reduction rate, epithelial tissue coverage rate, granulation tissue growth rate, and local pain relief rate in the treatment group were significantly superior to those in the control group(P 0.05). Through the local granulation detection, the treatment group and the control group have increased VEGF, EGF, and bFGF, but the treatment group increased the role of growth factor than the control group. Conclusion: Yinqi ointment can promote the healing of DFU, and its mechanism may be related to the increase of the content of growth factor in granulation tissue.     

针灸联合川芎茶调散治疗周围性面神经麻痹(风寒证)

目的:观察川芎茶调散加减方联合针灸治疗周围性面神经麻痹(风寒证)的临床效果。方法:选取2018年2月至2019年2月威海市中医院收治的急性周围性面瘫患者108例作为研究对象,按照随机数字表法分为对照组与观察组,每组54例。对照组给予常规西药治疗,观察组给予川芎茶调散加减方口服联合针灸治疗。比较2组患者主要症状的改善时间、肌电图检查相关指标、面部神经功能分级的变化,测定血清中相关因子水平,比较临床效果。结果:观察组、对照组的有效率92.59%、75.93%,以观察组临床效果更好(P0.05);观察组患者治疗后的闭目、抬眉、鼓颊的改善时间明显短于对照组(P0.05);观察组患者的肌电图结果RI潜伏期低于对照组,CMAP波幅高于对照组,面部神经功能分级改善更明显(P0.05);观察组患者血清中TNF-α、IL-17含量明显低于对照组,GDNF含量显著高于对照组(P0.05)。结论:川芎茶调散加减方联合针灸利于促进患者临床症状的缓解,改善肌电图指标,促进面部神经功能的恢复,推断其起效可能与通过调控血清中TNF-α、GDNF、IL-17等水平以减轻患者神经病变的炎性反应损伤程度有关。     

中医药治疗糖尿病周围神经病变的研究进展

糖尿病渐以年轻化的趋势呈现,糖尿病周围神经病变(DPN)是糖尿病最常见的慢性并发症之一,因其高致残率严重影响病患的生活品质。本文简单阐述糖尿病周围神经病变的病因,并就中医药的角度对该病的治疗概况进行综述,以期为临床诊治提供新见解和新研究策略。     

Diabetic macular ischaemia- a new therapeutic target?

Diabetic macular ischaemia (DMI) is traditionally defined and graded based on the angiographic evidence of an enlarged and irregular foveal avascular zone. However, these anatomical changes are not surrogate markers for visual impairment. We postulate that there are vascular phenotypes of DMI based on the relative perfusion deficits of various retinal capillary plexuses and choriocapillaris. This review highlights several mechanistic pathways, including the role of hypoxia and the complex relation between neurons, glia, and microvasculature. The current animal models are reviewed, with shortcomings noted. Therefore, utilising the advancing technology of optical coherence tomography angiography (OCTA) to identify the reversible DMI phenotypes may be the key to successful therapeutic interventions for DMI. However, there is a need to standardise the nomenclature of OCTA perfusion status. Visual acuity is not an ideal endpoint for DMI clinical trials. New trial endpoints that represent disease progression need to be developed before irreversible vision loss in patients with DMI. Natural history studies are required to determine the course of each vascular and neuronal parameter to define the DMI phenotypes. These DMI phenotypes may also partly explain the development and recurrence of diabetic macular oedema. It is also currently unclear where and how DMI fits into the diabetic retinopathy severity scales, further highlighting the need to better define the progression of diabetic retinopathy and DMI based on both multimodal imaging and visual function. Finally, we discuss a complete set of proposed therapeutic pathways for DMI, including cell-based therapies that may provide restorative potential.