批准用于奶牛的抗菌药物分析

我国奶牛养殖规模不断扩大,奶业产值比重逐步提高,给奶牛疫病防治带来巨大压力。奶牛乳房炎及细菌性肺炎等呼吸系统疾病和细菌性肠炎等消化系统疾病最为常见,抗菌药物的使用成为主要防治手段。但抗菌药物的不当使用易使细菌产生耐药性,增加临床治疗的成本和难度,危害我国奶牛产业发展。本文对截至2021年7月我国和美国、英国、日本、欧盟批准用于奶牛的抗菌药物产品进行整理、统计与分析,包括抗菌药物的分类、剂型以及适应证等,旨在为我国奶牛用抗菌药物管理、合理用药和新兽药开发提供参考。     

Pure laparoscopic living donor liver transplantation: Dreams come true

Minimally invasive approaches are increasingly being applied in surgeries and have recently been used in living donor hepatectomy. We have developed a safe and reproducible method for minimally invasive living donor liver transplantation, which consists of pure laparoscopic explant hepatectomy and pure laparoscopic implantation of the graft, which was inserted through a suprapubic incision. Pure laparoscopic explant hepatectomy without liver fragmentation was performed in a 60-year-old man with alcoholic liver cirrhosis and hepatocellular carcinoma. The explanted liver was retrieved through a suprapubic incision. A modified right liver graft, procured from his 24-year-old son using the pure laparoscopic method, was inserted through a suprapubic incision, and implantation was performed intracorporeally throughout the procedure. The time required to remove the liver was 369 min, and the total operative time was 960 min. No complications occurred during or after the surgery. The patient recovered well, and his hospital stay was of 11 days. Pure laparoscopic living donor liver transplantation from explant hepatectomy to implantation was performed successfully. It is a feasible procedure when performed by a highly experienced surgeon and transplantation team. Further studies with larger sample sizes are needed to confirm its safety and feasibility.

     

26所基层民营口腔诊所医务人员手卫生现况调查

 目的 调查十堰市区基层民营口腔诊所医务人员手卫生现况。方法 2019年9—11月采用便利抽样法对十堰市区民营口腔诊所医务人员手卫生现况进行隐蔽式调查,分析并比较不同岗位类别医务人员的手卫生依从率及正确率。结果 共调查民营口腔诊所26所,设有专用洗手设施的仅17所(占65.38%),配有快速手消毒剂的12所(46.15%)。隐蔽式观察102名医务人员,观察有效手卫生时机2 183次,医务人员实际执行572次,手卫生依从率26.20%,正确率25.52%(146次)。不同岗位类别医务人员的手卫生依从率、正确率比较,差异均有统计学意义(均P＜0.001)。护士的手卫生依从率(30.80%)、正确率(31.85%)较其他岗位人员高。医务人员在接触患者体液后的依从率(76.24%)和正确率(40.26%)较其他手卫生时刻高,接触患者前后的手卫生依从率最低,仅为15.38%、24.72%。医务人员不同手卫生时刻的依从率、正确率比较,差异均有统计学意义(均P＜0.001)。结论 基层民营口腔诊所医务人员手卫生依从率和正确率均较低,急需相关部门加强对基层民营口腔诊所的手卫生管理。     

早孕期监测子宫动脉多普勒参数在预测低危人群不良妊娠结局的价值

目的 建立妊娠11~13+6周子宫动脉多普勒参数在低危人群中的正常参考值，同时评估其对不良妊娠结局的预测价值。方法 收集2019年6月至2021年6月于我院行产前超声检查的妊娠11~13+6周孕妇，根据妊娠结局分组。收集两侧子宫动脉多普勒指标，包括搏动指数（PI）、阻力指数（RI）、舒张早期是否有切迹，以及孕妇基本临床资料和胎儿出生信息，将以上相关参数进行统计学分析。结果 最终纳入800例孕妇，包括正常妊娠结局组740例和不良妊娠结局组60例。两组孕妇体质量指数（BMI）、分娩孕周和胎儿出生体质量比较，差异均有统计学意义（均P＜0.05）。随着孕周的增加，子宫动脉两侧平均搏动指数（mPI）、平均阻力指数（mRI）和两侧舒张早期切迹检出率均呈逐渐下降的趋势。ROC曲线分析显示，mPI、mRI及两侧舒张早期切迹预测妊娠结局的曲线下面积（AUC）分别为0.542、0.574、0.521，三者联合预测妊娠结局的AUC为0.648；孕妇BMI、年龄mPI、mRI及两侧舒张早期切迹预测妊娠结局的AUC为0.751。结论 建立了低危人群在妊娠11~13+6周子宫动脉多普勒参数的正常参考值范围。在妊娠11~13+6周单纯应用子宫动脉多普勒参数预测妊娠结局的价值有限，将子宫动脉参数与临床相关指标结合可提高对不良妊娠结局的预测价值。     

半夏泻心汤对DSS诱导的溃疡性结肠炎小鼠肠道微生态及Th17/Treg细胞平衡的影响＊

目的 观察半夏泻心汤对饮用葡聚糖硫酸钠（DSS）诱导建立的溃疡性结肠炎（UC）模型小鼠Th17/Treg细胞平衡及肠道微生态的影响，从免疫失衡及菌群紊乱角度分析半夏泻心汤治疗UC的作用机制。方法 将40只C57BL/6J雄性小鼠随机分为空白组、模型组、阳性药（美沙拉嗪）组及半夏泻心汤组，除空白组外的各小鼠采用2.5% DSS水溶液自由饮用7天诱导建立UC小鼠模型。自实验第8日起，分别采用灭菌水、美沙拉嗪水溶液、半夏泻心汤水溶液给上述各组别小鼠灌胃。采用HE染色观察结肠组织病理学变化，ELISA方法检测组织炎症因子含量，流式细胞术检测Th17及Treg细胞的相对数量，16S rRNA测序技术进一步检测模型小鼠粪便中菌群的变化。结果 与空白组比较，模型组小鼠结肠损伤严重，血清炎症因子含量显著升高（P<0.01）；与模型组比较，中药干预组小鼠结肠损伤减轻，血清TNF-α、IFN-γ含量显著下降（P<0.05）。较空白组小鼠相比，模型组小鼠Th17细胞百分比显著升高（P<0.01），而Treg细胞百分比显著降低（P<0.01）。经半夏泻心汤干预后，其小鼠Th17细胞数量均显著降低（P<0.05），Treg细胞数量则显著升高（P<0.05）。同时，半夏泻心汤可升高门水平上Firmicutes、属水平上Lachnospiraceae_NK4A136_group、unclassified_f_Lachnospiraceae、Prevotellaceae_UCG-001、Alistipes；降低门水平上Actinobacteriota，科水平上Bifidobacteriaceae、Atopobiaceae、Clostridiaceae，属水平上Clostridium_sensu_stricto_1、Coriobacteriaceae_UCG-002、Bifidobacterium的相对丰度。结论 半夏泻心汤可使Treg细胞相对数量升高、Th17细胞相对数量降低，以维持Th17/Treg细胞动态平衡；同时可降低有害菌Clostridium_sensu_stricto_1、Coriobacteriaceae_UCG-002的相对丰度，升高产短链脂肪酸类菌Lachnospiraceae_NK4A136_group、Prevotellaceae_UCG-001、unclassified_f_Lachnospiraceae等菌属的相对丰度，调控肠道微生物结构及动态平衡，从而发挥治疗UC的作用。     

Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning

Arterial spin labeling (ASL) imaging is a powerful magnetic resonance imaging technique that allows to quantitatively measure blood perfusion non-invasively, which has great potential for assessing tissue viability in various clinical settings. However, the clinical applications of ASL are currently limited by its low signal-to-noise ratio (SNR), limited spatial resolution, and long imaging time. In this work, we propose an unsupervised deep learning-based image denoising and reconstruction framework to improve the SNR and accelerate the imaging speed of high resolution ASL imaging. The unique feature of the proposed framework is that it does not require any prior training pairs but only the subject's own anatomical prior, such as T1-weighted images, as network input. The neural network was trained from scratch in the denoising or reconstruction process, with noisy images or sparely sampled k-space data as training labels. Performance of the proposed method was evaluated using in vivo experiment data obtained from 3 healthy subjects on a 3T MR scanner, using ASL images acquired with 44-min acquisition time as the ground truth. Both qualitative and quantitative analyses demonstrate the superior performance of the proposed txtc framework over the reference methods. In summary, our proposed unsupervised deep learning-based denoising and reconstruction framework can improve the image quality and accelerate the imaging speed of ASL imaging.