目的探讨3D打印技术辅助后路植骨联合后路椎弓根内固定对脊柱侧弯患者炎症-应激因子、腰椎功能及生存质量的影响。方法选取2021年1月至2023年1月南阳信臣中医院收治的60例脊柱侧弯患者,电脑随机分为两组,每组各30例。对照组采用后路椎...目的探讨3D打印技术辅助后路植骨联合后路椎弓根内固定对脊柱侧弯患者炎症-应激因子、腰椎功能及生存质量的影响。方法选取2021年1月至2023年1月南阳信臣中医院收治的60例脊柱侧弯患者,电脑随机分为两组,每组各30例。对照组采用后路椎弓根内固定,联合组采用3D打印技术辅助后路植骨联合后路椎弓根内固定。对比两组手术相关指标、Oswestry功能障碍指数(ODI)、视觉疼痛模拟VAS评分、应激因子[血清肌酸激酶(CK)、去甲肾上腺素(NE)、皮质醇(Cor)水平]、腰椎功能[胸腰段后凸角(TLK)、胸椎后凸角(TK)、腰椎前凸角(LL)]。结果联合组术中出血量、透视次数、住院天数少于对照组,手术时间长于对照组,差异有统计学意义(P<0.05);两组术后1个月ODI、VAS评分明显降低,其中联合组降低幅度大于对照组,差异有统计学意义(P<0.05);两组术后3 d Cor、NE、CK水平显著升高,其中联合组升高幅度小于对照组,差异有统计学意义(P<0.05);联合组术后两周TLK、TK、LL改善幅度大于对照组,差异有统计学意义(P<0.05)。结论3D打印技术辅助后路植骨联合后路椎弓根内固定在治疗脊柱侧弯患者中,能改善腰椎功能、减轻应激反应、提高生活质量,但手术时间较长。展开更多
目的评价两种营养风险筛查表在普外科住院患儿中的应用效果,了解普外科住院患儿在住院期间营养状况的发展趋势,从而指导医务人员对住院患儿的营养干预工作,预测临床结局,以提高临床医护人员对患儿营养状况的重视,为选择普外科住院患儿...目的评价两种营养风险筛查表在普外科住院患儿中的应用效果,了解普外科住院患儿在住院期间营养状况的发展趋势,从而指导医务人员对住院患儿的营养干预工作,预测临床结局,以提高临床医护人员对患儿营养状况的重视,为选择普外科住院患儿营养风险筛查工具提供参考。方法应用上海新华医院在营养状况和生长发育风险筛查工具(Screening Tool for Risk of Nutrition Status and Growth,STRONGkids)和儿科营养不良筛查工具(Screening Tool for the Assessment of Malnutrition in Pediatrics,STAMP),在此基础上改良适合患儿的儿科营养风险筛查表,对2019年6—12月入住深圳市某医院普外科病房100例住院患儿进行筛查,应用世界卫生组织(WHO)生长标准评价住院患儿营养不良情况作为参照标准,对比两种营养风险筛查表的灵敏度和特异度。结果以WHO生长标准为依据,对比STAMP和STRONGkids灵敏度分别为40.15%、75.33%,特异度分别为51.34%、55.71%。结论STAMP和STRONGkids均可用于普外科住院患儿的营养风险筛查,STRONGkids特异度和敏感度更高,但没有包含客观评估内容。STAMP整体诊断正确率相对较高。展开更多
The accurate simulation and prediction of runoff in alpine glaciated watersheds is of increasing importance for the comprehensive management and utilization of water resources.In this study,long shortterm memory(LSTM)...The accurate simulation and prediction of runoff in alpine glaciated watersheds is of increasing importance for the comprehensive management and utilization of water resources.In this study,long shortterm memory(LSTM),a state-of-the-art artificial neural network algorithm,is applied to simulate the daily discharge of two data-sparse glaciated watersheds in the Tianshan Mountains in Central Asia.Two other classic machine learning methods,namely extreme gradient boosting(XGBoost)and support vector regression(SVR),along with a distributed hydrological model(Soil and Water Assessment Tool(SWAT)and an extended SWAT model(SWAT_Glacier)are also employed for comparison.This paper aims to provide an efficient and reliable method for simulating discharge in glaciated alpine regions that have insufficient observed meteorological data.The two typical basins in this study are the main tributaries(the Kumaric and Toxkan rivers)of the Aksu River in the south Tianshan Mountains,which are dominated by snow and glacier meltwater and precipitation.Our comparative analysis indicates that simulations from the LSTM shows the best agreement with the observations.The performance metrics Nash-Sutcliffe efficiency coefficient(NS)and correlation coefficient(R^(2))of LSTM are higher than 0.90 in both the training and testing periods in the Kumaric River Basin,and NS and R^(2) are also higher than 0.70 in the Toxkan River Basin.Compared to classic machine learning algorithms,LSTM shows significant advantages over most evaluating indices.XGBoost also has high NS value in the training period,but is prone to overfitting the discharge.Compared with the widely used hydrological models,LSTM has advantages in predicting accuracy,despite having fewer data inputs.Moreover,LSTM only requires meteorological data rather than physical characteristics of underlying data.As an extension of SWAT,the SWAT_Glacier model shows good adaptability in discharge simulation,outperforming the original SWAT model,but at the cost of increasing the complexity of the model.Compared with the oftentimes complex semi-distributed physical hydrological models,the LSTM method not only eliminates the tedious calibration process of hydrological parameters,but also significantly reduces the calculation time and costs.Overall,LSTM shows immense promise in dealing with scarce meteorological data in glaciated catchments.展开更多
目的评估自噬相关蛋白5(autophagy-related protein 5,ATG5)在结肠癌中的表达及其与临床病理特征的关系,分析ATG5对结肠癌细胞迁移及侵袭能力的影响。方法运用在线分析工具cProsite分析ATG5 mRNA以及ATG5蛋白在结肠癌组织及癌旁正常组...目的评估自噬相关蛋白5(autophagy-related protein 5,ATG5)在结肠癌中的表达及其与临床病理特征的关系,分析ATG5对结肠癌细胞迁移及侵袭能力的影响。方法运用在线分析工具cProsite分析ATG5 mRNA以及ATG5蛋白在结肠癌组织及癌旁正常组织中的表达水平。使用Kaplan-Meier Plotter分析ATG5表达水平对结肠癌患者预后的影响。免疫组织化学法检测100例结肠癌组织中ATG5表达,χ^(2)和Fisher's检验分析ATG5表达水平与临床病理特征的相关性。转染质粒或小干扰过表达或敲低ATG5后,Western blotting检测转染效率及自噬相关标记物微管相关蛋白轻链3(microtubule-associated protein light chain 3,LC3)的变化,Transwell实验评估过表达或敲低ATG5后结肠癌细胞的迁移及侵袭能力。使用LinkedOmics数据库分析结肠癌中与ATG5相关的差异表达基因,并进行基因本体(gene ontology,GO)分析和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)分析。结果结肠癌组织中ATG5 mRNA及蛋白的表达水平均低于癌旁正常组织(P<0.001)。低表达ATG5的结肠癌患者无复发生存期明显短于高表达ATG5的结肠癌患者(P<0.001)。免疫组化结果表明,结肠癌组织中ATG5的表达水平与淋巴结转移相关,低表达ATG5的结肠癌患者更容易发生淋巴结转移(P=0.027)。Western blotting及Transwell实验显示在SW1116细胞中过表达ATG5后,LC3Ⅱ/LC3Ⅰ增加,细胞的迁移侵袭能力减弱(P_(ATG5)=0.001;P_(LC3Ⅱ/LC3Ⅰ)=0.04;P_(迁移)<0.001,P_(侵袭)<0.001);反之,在DLD1细胞中敲低ATG5后,LC3Ⅱ/LC3Ⅰ降低,细胞的迁移侵袭能力增加(P_(ATG5#1)=0.021,P_(ATG5#2)<0.001;P_(LC3Ⅱ/LC3Ⅰ#1)=0.013,P_(LC3Ⅱ/LC3Ⅰ#2)=0.02;P迁移<0.001,P侵袭<0.001)。ATG5相关的差异表达基因富集分析结果显示,结肠癌中ATG5可能通过影响DNA损伤反应、染色质重排及Notch信号通路等途径影响结肠癌的转移。结论ATG5在结肠癌中低表达,并与患者淋巴结转移及预后显著相关,结肠癌细胞中ATG5能够增加细胞自噬水平并抑制细胞侵袭转移,提示ATG5及其调控的自噬过程可能成为结肠癌临床治疗的新靶点。展开更多
文摘目的探讨3D打印技术辅助后路植骨联合后路椎弓根内固定对脊柱侧弯患者炎症-应激因子、腰椎功能及生存质量的影响。方法选取2021年1月至2023年1月南阳信臣中医院收治的60例脊柱侧弯患者,电脑随机分为两组,每组各30例。对照组采用后路椎弓根内固定,联合组采用3D打印技术辅助后路植骨联合后路椎弓根内固定。对比两组手术相关指标、Oswestry功能障碍指数(ODI)、视觉疼痛模拟VAS评分、应激因子[血清肌酸激酶(CK)、去甲肾上腺素(NE)、皮质醇(Cor)水平]、腰椎功能[胸腰段后凸角(TLK)、胸椎后凸角(TK)、腰椎前凸角(LL)]。结果联合组术中出血量、透视次数、住院天数少于对照组,手术时间长于对照组,差异有统计学意义(P<0.05);两组术后1个月ODI、VAS评分明显降低,其中联合组降低幅度大于对照组,差异有统计学意义(P<0.05);两组术后3 d Cor、NE、CK水平显著升高,其中联合组升高幅度小于对照组,差异有统计学意义(P<0.05);联合组术后两周TLK、TK、LL改善幅度大于对照组,差异有统计学意义(P<0.05)。结论3D打印技术辅助后路植骨联合后路椎弓根内固定在治疗脊柱侧弯患者中,能改善腰椎功能、减轻应激反应、提高生活质量,但手术时间较长。
文摘目的评价两种营养风险筛查表在普外科住院患儿中的应用效果,了解普外科住院患儿在住院期间营养状况的发展趋势,从而指导医务人员对住院患儿的营养干预工作,预测临床结局,以提高临床医护人员对患儿营养状况的重视,为选择普外科住院患儿营养风险筛查工具提供参考。方法应用上海新华医院在营养状况和生长发育风险筛查工具(Screening Tool for Risk of Nutrition Status and Growth,STRONGkids)和儿科营养不良筛查工具(Screening Tool for the Assessment of Malnutrition in Pediatrics,STAMP),在此基础上改良适合患儿的儿科营养风险筛查表,对2019年6—12月入住深圳市某医院普外科病房100例住院患儿进行筛查,应用世界卫生组织(WHO)生长标准评价住院患儿营养不良情况作为参照标准,对比两种营养风险筛查表的灵敏度和特异度。结果以WHO生长标准为依据,对比STAMP和STRONGkids灵敏度分别为40.15%、75.33%,特异度分别为51.34%、55.71%。结论STAMP和STRONGkids均可用于普外科住院患儿的营养风险筛查,STRONGkids特异度和敏感度更高,但没有包含客观评估内容。STAMP整体诊断正确率相对较高。
基金supported by the National Natural Science Foundation of China(U1903208,41630859,42071046)。
文摘The accurate simulation and prediction of runoff in alpine glaciated watersheds is of increasing importance for the comprehensive management and utilization of water resources.In this study,long shortterm memory(LSTM),a state-of-the-art artificial neural network algorithm,is applied to simulate the daily discharge of two data-sparse glaciated watersheds in the Tianshan Mountains in Central Asia.Two other classic machine learning methods,namely extreme gradient boosting(XGBoost)and support vector regression(SVR),along with a distributed hydrological model(Soil and Water Assessment Tool(SWAT)and an extended SWAT model(SWAT_Glacier)are also employed for comparison.This paper aims to provide an efficient and reliable method for simulating discharge in glaciated alpine regions that have insufficient observed meteorological data.The two typical basins in this study are the main tributaries(the Kumaric and Toxkan rivers)of the Aksu River in the south Tianshan Mountains,which are dominated by snow and glacier meltwater and precipitation.Our comparative analysis indicates that simulations from the LSTM shows the best agreement with the observations.The performance metrics Nash-Sutcliffe efficiency coefficient(NS)and correlation coefficient(R^(2))of LSTM are higher than 0.90 in both the training and testing periods in the Kumaric River Basin,and NS and R^(2) are also higher than 0.70 in the Toxkan River Basin.Compared to classic machine learning algorithms,LSTM shows significant advantages over most evaluating indices.XGBoost also has high NS value in the training period,but is prone to overfitting the discharge.Compared with the widely used hydrological models,LSTM has advantages in predicting accuracy,despite having fewer data inputs.Moreover,LSTM only requires meteorological data rather than physical characteristics of underlying data.As an extension of SWAT,the SWAT_Glacier model shows good adaptability in discharge simulation,outperforming the original SWAT model,but at the cost of increasing the complexity of the model.Compared with the oftentimes complex semi-distributed physical hydrological models,the LSTM method not only eliminates the tedious calibration process of hydrological parameters,but also significantly reduces the calculation time and costs.Overall,LSTM shows immense promise in dealing with scarce meteorological data in glaciated catchments.
文摘目的评估自噬相关蛋白5(autophagy-related protein 5,ATG5)在结肠癌中的表达及其与临床病理特征的关系,分析ATG5对结肠癌细胞迁移及侵袭能力的影响。方法运用在线分析工具cProsite分析ATG5 mRNA以及ATG5蛋白在结肠癌组织及癌旁正常组织中的表达水平。使用Kaplan-Meier Plotter分析ATG5表达水平对结肠癌患者预后的影响。免疫组织化学法检测100例结肠癌组织中ATG5表达,χ^(2)和Fisher's检验分析ATG5表达水平与临床病理特征的相关性。转染质粒或小干扰过表达或敲低ATG5后,Western blotting检测转染效率及自噬相关标记物微管相关蛋白轻链3(microtubule-associated protein light chain 3,LC3)的变化,Transwell实验评估过表达或敲低ATG5后结肠癌细胞的迁移及侵袭能力。使用LinkedOmics数据库分析结肠癌中与ATG5相关的差异表达基因,并进行基因本体(gene ontology,GO)分析和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)分析。结果结肠癌组织中ATG5 mRNA及蛋白的表达水平均低于癌旁正常组织(P<0.001)。低表达ATG5的结肠癌患者无复发生存期明显短于高表达ATG5的结肠癌患者(P<0.001)。免疫组化结果表明,结肠癌组织中ATG5的表达水平与淋巴结转移相关,低表达ATG5的结肠癌患者更容易发生淋巴结转移(P=0.027)。Western blotting及Transwell实验显示在SW1116细胞中过表达ATG5后,LC3Ⅱ/LC3Ⅰ增加,细胞的迁移侵袭能力减弱(P_(ATG5)=0.001;P_(LC3Ⅱ/LC3Ⅰ)=0.04;P_(迁移)<0.001,P_(侵袭)<0.001);反之,在DLD1细胞中敲低ATG5后,LC3Ⅱ/LC3Ⅰ降低,细胞的迁移侵袭能力增加(P_(ATG5#1)=0.021,P_(ATG5#2)<0.001;P_(LC3Ⅱ/LC3Ⅰ#1)=0.013,P_(LC3Ⅱ/LC3Ⅰ#2)=0.02;P迁移<0.001,P侵袭<0.001)。ATG5相关的差异表达基因富集分析结果显示,结肠癌中ATG5可能通过影响DNA损伤反应、染色质重排及Notch信号通路等途径影响结肠癌的转移。结论ATG5在结肠癌中低表达,并与患者淋巴结转移及预后显著相关,结肠癌细胞中ATG5能够增加细胞自噬水平并抑制细胞侵袭转移,提示ATG5及其调控的自噬过程可能成为结肠癌临床治疗的新靶点。
