目的 应用 Python语言对《圣济总录》中腰痛病篇中的中药进行用药规律分析，提取腰痛病治疗方法及用药特色指导临床腰痛病治疗思路。方法 运用 Python语言中的语言提取对《圣济总录》中腰痛篇章中的所有中药方剂识别，提取方剂组成，统计并分析方剂中中药的规律并将其结果可视化呈现。结果 最终共纳入62首方剂，包含药物86味。其中使用频次≥7次、频率≥1.6%的药物共20味，频次频率最高的为桂枝；所用中药四气以温性为主，占56.74%；五味以辛、甘、苦为主，共约占90%，归经以肝肾经为主；药物功效以补虚类为主，占27.13%；关联规则分析显示提升度最高的组合为麻黄-独活，置信度最高的组合为巴戟天-牛膝、牵牛子-牛膝，支持度最高的组合为川芎-当归、川芎-杜仲；通过聚类分析得到3个聚类结果。结论 《圣济总录》治疗腰痛病方面善用通法和补法，强调活血通络，补益肝肾，尤擅长治疗肝肾亏虚或风寒所客等腰痛病证。
Objective Python language was used to analyze the rules of traditional Chinese medicine in the chapter of low back pain in Shengji Zonglu，and to extract the treatment methods and medication characteristics of low back pain to guide the clinical treatment of low back pain．Methods The language extraction in Python language was used to identify all the Chinese medicine prescriptions in the chapter of low back pain in Shengji Zonglu，extract the composition of the prescription，and analyze the rules of Chinese medicine in the prescription to visually present the results．Results A total of 62 prescriptions were included，including 86 drugs．Among them，with there were 20 kinds of drugs，the frequency of use ≥7 times，the frequency ≥1.6%，and cmnamomi Mmulus highest frequency．Four gas used in traditional Chinese medicine is given priority to with warm，accounted for 56.74%．The five flavors were mainly pungent，sweet and bitter，accounting for about 90%，and the liver and kidney meridians were the main meridians．The drug efficacy was mainly deficiency tonic，accounting for 27.13%．The association rule analysis showed that the combination with the highest improvement was Ephedrae Herba- Angelicae Pubescentis Radix，the combination with the highest confidence was Morindae Officinalis Radix- Achyranthis Bidentatae Radix，Pharbitidis Semen- Achyranthis Bidentatae Radix．and the combination with the highest support was Chuanxiong Rhizoma- Angelicae Sinensis Radix，Chuanxiong Rhizoma- Eucommiae Cortex．Three clustering result is obtained by cluster analysis．Conclusions In the treatment of low back pain，Shengji Zonglu is good at using both blocking methods and reinforcing methods，emphasizing circulating blood and unblocking meridians supplementing liver and kidney，especially in the treatment of low back pain syndrome caused by liver and kidney deficiency or wind and cold．
目的 开发适合中国肾癌患者的生命质量测定量表的特异模块。方法 采用议题小组和核心小组的程序化决策方式，提出条目池，形成初步量表，采用医生及患者重要性评分法、相关系数法、变异度法、因子分析法和克朗巴赫系数α对20例肾癌患者和20名医护人员进行的数据进行统计分析。结果 经过上述方法进行筛检，结合专家小组的建议，最终得到含有11个条目的肾癌生命质量测定量表的特异模块。结论 肾癌的生命质量测定量表特异模块严格按照程序执行，具有较好的内容效度。
Objective To develop the specific module of the quality of life instruments for patients with renal cancer（QLICP-RE）．Methods With the structured group（nominal group and focus group）methods，the item pool was put forward and a preliminary instrument was formed．The data from 20 renal cancer patients and 20 doctors/nurses were analyzed by statistical procedures．Doctors and patients’ importance rating procedure，correlation analysis，method of coefficient of variation，factor analysis，and Cronbach’s α．Results By above statistical procedures and advises of expert panel，11-items of the specific module were formed finally．Conclusions The specific module of QLICP-RE developed on the strict procedures has good content validity and representativeness．
药源性心脏毒性是临床常见的药物不良反应，是药物研发和临床治疗需面临的严峻考验。对药源性心脏毒性的评价是目前研究的重点，基于其机制复杂多样、临床表现不一、影响因素多，早期评价具有困难。生物标志物是评价心脏毒性的重要指标之一，文章总结了目前已经报道的多种心脏毒性标志物及其潜在的生物标志物，希望能从中找到特异性强、敏感性高的标志物，以贡献于药物心脏安全性评价工作。
As a common clinical adverse reaction，pharmacogenic cardiotoxicity is a severe challenge for drug development and clinical treatment．The evaluation of pharmacogenic cardiotoxicity is the focus of current research，and early evaluation is difficult with its complex and diverse mechanisms，varying clinical manifestations，and numerous influencing factors．Biomarker is an important index to evaluate cardiotoxicity．This article summarizes a variety of cardiotoxicity biomarkers and other potential biomarkers that have been reported so far，hoping to find biomarkers with strong specificity and high sensitivity，so as tocontribute to the evaluation on cardiac safety of drugs．
目的 探讨眼底豹纹斑密度（FTD）及视盘旁萎缩弧（PPA）与眼轴长（AL）的相关性，为眼底定量化在儿童近视防控的应用提供科学依据。方法 本研究随机抽取广州市荔湾区两所小学三年级学生作为研究对象，在校园视力筛查的过程中同时采集AL、CR和眼底彩照。使用AI软件对眼底彩照进行量化分析，量化指标包括不同区域和范围的FTD及PPA面积大小，根据眼轴长度分为三组：A组（AL＜23 mm）；B组（23 mm≤AL＜24 mm）；C组（24 mm≤AL）。结果 共有398例右眼被纳入统计分析，年龄范围8~11岁，中位数是9岁，男性人数占55.1％。三组组间AL、AL/CR和SE比较均有统计学差异（P＜0.05）。A组与B组相比，FTD在后极部整体范围、黄斑中心3 mm区域、黄斑中心3 mm区域上方区域具有统计学差异（P＜0.05），C组与B组相比，PPA面积及FTD在后极部整体范围、视盘为中心4.5 mm范围、黄斑为中心直径3 mm和6 mm范围均具有统计学差异（P＜0.05），Spearman相关性分析表明，AL与PPA（r=0.443）和FTD（r=0.322）呈正相关（P＜0.001）。亚组相关性分析表明，A组仅黄斑为中心直径3 mm上方范围FTD与AL呈正相关（P=0.028），B组PPA、黄斑中心直径3 mm及其上方范围FTD与AL呈正相关（P＜0.05），C组仅PPA与AL呈正相关（P=0.005）。结论 眼底定量对于儿童近视防控具有潜在价值，PPA和FTD与AL呈正相关性，不同区域和范围FTD与AL相关性具有一定差异性，黄斑中心直径3 mm范围及其上方范围与眼轴相关性最强。FTD在短眼轴阶段就可以作为生物标记物预测近视严重程度，而PPA主要在长眼轴阶段体现生物标记物的作用。
Objective To investigate the correlation between fundus tessellated density（FTD）and peripapillary atrophy（PPA）with axial length（AL）, providing a scientific basis for the application of fundus quantification in the prevention and control of myopia in children. Methods This study randomly selected third-grade students from two primary schools in Liwan District, Guangzhou City, as research subjects. Axial length（AL）, corneal radius（CR）, and fundus color photographs were collected simultaneously during the school vision screening process. AI software was utilized to perform quantitative analysis on the fundus color photographs, with quantification indicators including the area size of PPA and FTD in different regions and ranges. Subjects were divided into three groups based on axial length：Group A（AL＜23 mm）; Group B（23 mm≤AL＜24 mm）; Group C（AL≥24 mm）. Results A total of 398 right eyes were included in the statistical analysis, with an age range of 8 to 11, a median age of 9, and 55.1% were male. There were significant statistical differences in AL, AL/CR, and spherical equivalent（SE）among the three groups（P＜0.05）. Compared with Group B, Group A showed significant statistical differences in FTD in the overall posterior pole, the 3 mm diameter area centered on the fovea, and the superior area of the 3 mm foveal center（P＜0.05）. Compared with Group B, Group C showed significant differences in PPA area and FTD in the overall posterior pole, the 4.5 mm diameter area centered on the optic disc, and the 3 mm and 6 mm diameter areas centered on the fovea（P＜0.05）. Spearman correlation analysis indicated that AL was significantly positively correlated with PPA（r=0.443）and FTD（r=0.322）（P＜0.001）. Subgroup correlation analysis showed that in Group A, only the FTD in the superior area of the 3 mm diameter centered on the fovea was significantly positively correlated with AL（P=0.028）. In Group B, PPA and FTD in the 3 mm diameter and superior area centered on the fovea were significantly positively correlated with AL（P＜0.05）. In Group C, only PPA was significantly positively correlated with AL（P=0.005）. Conclusions Fundus quantification holds potential value for the prevention and control of myopia in children. PPA and FTD show significant positive correlations with AL, with varying degrees of correlation in different regions and ranges of FTD with AL. The 3 mm diameter area centered on the fovea and its superior area have the strongest correlation with the eye axis. FTD can serve as a biomarker to predict the severity of myopia in the early stages of eye axis elongation, while PPA primarily manifests as a biomarker in the later stages of elongation.
