寰枢椎后路柔性固定的生物力学研究

目的分析细棒、PEEK棒固定对寰枢关节稳定性的影响。方法采用6具新鲜成人枕骨(occipital bone,Oc)~颈椎C4节段进行测试,模拟以下手术及固定状态:①完整状态;②损伤状态:枢椎齿状突II型骨折;③坚强固定:寰枢椎均采用普通椎弓根螺钉固定,直径3.5 mm钛棒连接;④PEEK棒:直径3.5 mm的PEEK棒连接;⑤细棒:直径2.0 mm钛棒连接。采用重复测量实验设计,在完整、损伤和不同的固定状态下,通过脊柱试验机对标本分别施加1.5 N·m的前屈/后伸、左/右侧弯和左/右轴向旋转的纯力偶矩。采用Optotrak三维运动测量系统连续采集标本运动,分析寰枢椎之间角度运动范围和中性区。结果采用直径3.5 mm的钛棒,2.0 mm的细棒以及3.5 mm的PEEK棒固定后,在前屈、后伸、侧弯和旋转方向上均显著减小了固定节段的运动范围(P<0.05)。直径3.5 mm和2.0 mm的棒固定后的运动范围,在各个方向上无显著性差异。PEEK棒固定的运动范围仅在侧弯方向上大于坚强固定(P=0.005),其他方向无显著性差异。3种固定方式在屈伸、侧弯和旋转方向上均显著减小了固定节段的中性区(P<0.05)。各种固定方式之间相比较,无显著性差异(P>0.05)。结论在寰枢关节采用直径2.0 mm的细棒固定,与坚强固定的稳定性相当。采用直径3.5 mm的PEEK棒固定,在前屈、后伸、旋转方向上与坚强固定的稳定性相当,在侧弯方向上弱于坚强固定。     

Genomic variants within chromosome 14q32.32 regulate bone mass through MARK3 signaling in osteoblasts

Bone mineral density (BMD) is a highly heritable predictor of osteoporotic fracture. GWAS have identified hundreds of loci influencing BMD, but few have been functionally analyzed. In this study, we show that SNPs within a BMD locus on chromosome 14q32.32 alter splicing and expression of PAR-1a/microtubule affinity regulating kinase 3 (MARK3), a conserved serine/threonine kinase known to regulate bioenergetics, cell division, and polarity. Mice lacking Mark3 either globally or selectively in osteoblasts have increased bone mass at maturity. RNA profiling from Mark3-deficient osteoblasts suggested changes in the expression of components of the Notch signaling pathway. Mark3-deficient osteoblasts exhibited greater matrix mineralization compared with controls that was accompanied by reduced Jag1/Hes1 expression and diminished downstream JNK signaling. Overexpression of Jag1 in Mark3-deficient osteoblasts both in vitro and in vivo normalized mineralization capacity and bone mass, respectively. Together, these findings reveal a mechanism whereby genetically regulated alterations in Mark3 expression perturb cell signaling in osteoblasts to influence bone mass.     

公立医院养老保险改革现状、困境及对策研究△

目的：通过调研江苏省公立医院编内及非在编人员参加养老保险的现状，分析其存在的困境，提出相应的对策建议。方法：对江苏省内公立医院发放调研问卷，收集数据整理后运用统计分析和比较分析法描述其运营概况、编内及非在编人员参加养老保险的情况，运用公平理论分析公立医院养老保险存在的问题。结果：江苏省公立医院编内人员参加机关事业单位养老保险，非在编人员参加城镇职工养老保险；省属公立医院非在编人员占比最高；编内人员缴费基数及养老待遇均显著高于非在编人员；编内人员参加职业年金，非在编人员尚未建立年金计划。结论：树立底线公平理念，完善养老保险制度体系；改革完善非在编人员年金计划政策；建立健全参保成本财政分担机制。     

A Priori Subcell Limiting Approach for the FR/CPR Method on Unstructured Meshes

A priori subcell limiting approach is developed for high-order flux reconstruction/correction procedure via reconstruction (FR/CPR) methods on two-dimensional unstructured quadrilateral meshes. Firstly, a modified indicator based on modal energy coefficients is proposed to detect troubled cells, where discontinuities exist. Then, troubled cells are decomposed into nonuniform subcells and each subcell has one solution point. A second-order finite difference shock-capturing scheme based on nonuniform nonlinear weighted (NNW) interpolation is constructed to perform the calculation on troubled cells while smooth cells are calculated by the CPR method. Numerical investigations show that the proposed subcell limiting strategy on unstructured quadrilateral meshes is robust in shock-capturing.     

中医药干预新型冠状病毒肺炎临床研究方案分析

对中医药防治新型冠状病毒肺炎临床研究方案注册情况进行分析,为提高相关研究设计质量提供参考和建议。检索中国临床试验注册中心网站(www.chictr.org.cn)以及美国临床试验注册中心网站(clinicaltrials.gov),以新型冠状病毒肺炎、2019-nCoV等为检索词,检索新型冠状病毒肺炎中医药相关临床研究方案。按照纳入排除标准筛选文献,并提取研究注册时间、研究目的、研究类型、申办单位、研究对象、样本量、干预措施、评价指标等数据,采用描述性分析方法。共纳入新型冠状病毒肺炎中医药相关研究方案49个,研究负责单位以湖北、北京、浙江等地医院或高等院校为主。研究具体实施单位属地集中在湖北、广东、浙江、河南等地医院。研究设计以干预性试验研究为主(共40个),其中随机平行对照研究30个,非随机对照试验7个,单臂研究2个,连续入组1个;观察性研究6个;卫生服务研究2个;预防性研究1个。总样本量30562例,单个研究样本量最大20000例,最小30例。49个方案的研究对象包括健康人群(3个)、隔离观察人群(1个)、疑似病例(10个)、确诊病例(31个)、康复期病例(4个)。31个拟纳入确诊病例的研究方案中,有16个研究未明确病情分级,3个研究明确排除危重症,4个研究纳入普通型,2个研究纳入轻型、普通型或重型,1个研究纳入轻型和普通型,1个研究纳入普通型或重型,3个研究纳入重型,1个研究纳入重症或危重症。评价的干预措施包括中成药(连花清瘟胶囊/颗粒、藿香正气滴丸/口服液、八宝丹、固表解毒灵、金蒿解热颗粒、复方鱼腥草合剂、金叶败毒颗粒、疏风解毒胶囊、双黄连口服液、痰热清注射液、血必净注射液、热毒宁注射液、喜炎平注射液)、汤药、太极拳疗法。主要疗效指标以退热时间、临床症状缓解、新型冠状病毒核酸转阴、重症转化率、胸部CT影像为主。结果表明中医药防治新冠肺炎的临床研究响应快速,当前注册方案涵盖了疾病预防、治疗和康复全过程。但存在人群定义不清,研究目标不明确,干预方案需要细化,疗效评价指标需要优化等问题;另外,需要考虑疫情救治的实际困难和工作负担,在符合医学伦理条件下,优化流程,提高研究方案的可操作性。     

Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure

BACKGROUND Postoperative liver failure is the most severe complication in cirrhotic patients with hepatocellular carcinoma(HCC) after major hepatectomy. Current available clinical indexes predicting postoperative residual liver function are not sufficiently accurate.AIM To determine a radiomics model based on preoperative gadoxetic acid-enhanced magnetic resonance imaging for predicting liver failure in cirrhotic patients with HCC after major hepatectomy.METHODS For this retrospective study, a radiomics-based model was developed based on preoperative hepatobiliary phase gadoxetic acid-enhanced magnetic resonance images in 101 patients with HCC between June 2012 and June 2018. Sixty-one radiomic features were extracted from hepatobiliary phase images and selected by the least absolute shrinkage and selection operator method to construct a radiomics signature. A clinical prediction model, and radiomics-based model incorporating significant clinical indexes and radiomics signature were built using multivariable logistic regression analysis. The integrated radiomics-based model was presented as a radiomics nomogram. The performances of clinical prediction model, radiomics signature, and radiomics-based model for predicting post-operative liver failure were determined using receiver operating characteristics curve, calibration curve, and decision curve analyses.RESULTS Five radiomics features from hepatobiliary phase images were selected to construct the radiomics signature. The clinical prediction model, radiomics signature, and radiomics-based model incorporating indocyanine green clearance rate at 15 min and radiomics signature showed favorable performance for predicting postoperative liver failure(area under the curve: 0.809-0.894). The radiomics-based model achieved the highest performance for predicting liver failure(area under the curve: 0.894; 95%CI: 0.823-0.964). The integrated discrimination improvement analysis showed a significant improvement in the accuracy of liver failure prediction when radiomics signature was added to the clinical prediction model(integrated discrimination improvement = 0.117, P =0.002). The calibration curve and an insignificant Hosmer-Lemeshow test statistic(P = 0.841) demonstrated good calibration of the radiomics-based model. The decision curve analysis showed that patients would benefit more from a radiomics-based prediction model than from a clinical prediction model and radiomics signature alone.CONCLUSION A radiomics-based model of preoperative gadoxetic acid–enhanced MRI can be used to predict liver failure in cirrhotic patients with HCC after major hepatectomy.     

Utility of Tissue Similarity Maps Based on Relative Cerebral Blood Volume for Grading Gliomas as Validated by Histological Results

@@