目的评价机械瓣膜置换手术后稳定期患者的华法林抗凝治疗质量,观察复方丹参片对机械瓣膜置换术后患者华法林抗凝治疗效果的影响,VKORC1、CYP2C9及CYP4F2的基因多态性对机械瓣膜置换术患者术后稳定期华法林敏感及华法林抵抗的影响。方法2...目的评价机械瓣膜置换手术后稳定期患者的华法林抗凝治疗质量,观察复方丹参片对机械瓣膜置换术后患者华法林抗凝治疗效果的影响,VKORC1、CYP2C9及CYP4F2的基因多态性对机械瓣膜置换术患者术后稳定期华法林敏感及华法林抵抗的影响。方法2011年7月至2014年2月在门诊随访时登记我们所施行的机械瓣膜置换手术后≥6个月的患者1831例,记录患者基本临床资料。抗凝治疗采用目标国际标准化比值(INR,1.6~2.2)及以每周为单位的华法林剂量调整策略。筛选46例需加用复方丹参片的患者,记录服用复方丹参片前后INR检测值并比较其差异。将本研究纳入患者按华法林服用剂量的百分位数进行分组,即华法林敏感患者、对照患者、华法林抵抗患者,筛选其中101例患者,采用TIANGENBloodDNAKit血液基因组DNA提取试剂盒提取样本,以聚合酶链限制性片段-长度多态性分析法(PCR-RELP)测定患者基因型。检测的基因位点为:CYP4F2:rs2108622C>T位点;VKORC1:1639G>A位点;VKORC1:1173C>T位点;CYP2C9*2:rs1799853C>T位点;CYP2C9*3:1061A>C位点。结果(1)本研究观察期间内所纳入患者目标INR范围治疗范围时间(time in therapeutic range,TTR)和治疗范围时间分数(fraction of time in therapeutic range,FTTR)分别为27.2%、49.4%,可接受INR范围内的TTR和FTTR分别为34.2%、63.4%。(2)加用复方丹参片的患者在加用前及加用后,INR检测值分别为1.55±0.03、1.69±0.30,差异有统计学意义(P<0.05)。(3)基因检测患者共101例,其中VKORC1:1173C>T基因位点中C/T构成比在华法林敏感、对比及华法林抵抗患者中依次升高,而CYP2C9*3:1061A>C基因位点中C/T的等位基因位点构成比依次降低。CYP4F2基因、VKORC1639基因、CYP2C9*2基因位点无差异。(4)国际华法林临床药理协会(IWPC)模型预测服用华法林剂量仅与华法林敏感患者实际服用华法林剂量吻合。结论机械瓣膜置换术后稳定期患者相对较展开更多
Cancer is one of the most dangerous diseaseswith highmortality.One of the principal treatments is radiotherapy by using radiation beams to destroy cancer cells and this workflow requires a lot of experience and skill ...Cancer is one of the most dangerous diseaseswith highmortality.One of the principal treatments is radiotherapy by using radiation beams to destroy cancer cells and this workflow requires a lot of experience and skill from doctors and technicians.In our study,we focused on the 3D dose prediction problem in radiotherapy by applying the deeplearning approach to computed tomography(CT)images of cancer patients.Medical image data has more complex characteristics than normal image data,and this research aims to explore the effectiveness of data preprocessing and augmentation in the context of the 3D dose prediction problem.We proposed four strategies to clarify our hypothesis in different aspects of applying data preprocessing and augmentation.In strategies,we trained our custom convolutional neural network model which has a structure inspired by the U-net,and residual blocks were also applied to the architecture.The output of the network is added with a rectified linear unit(Re-Lu)function for each pixel to ensure there are no negative values,which are absurd with radiation doses.Our experiments were conducted on the dataset of the Open Knowledge-Based Planning Challenge which was collected from head and neck cancer patients treatedwith radiation therapy.The results of four strategies showthat our hypothesis is rational by evaluating metrics in terms of the Dose-score and the Dose-volume histogram score(DVH-score).In the best training cases,the Dose-score is 3.08 and the DVH-score is 1.78.In addition,we also conducted a comparison with the results of another study in the same context of using the loss function.展开更多
为研究敌草快(DQ)中毒病人的临床特点,评估中毒病人脑损伤的相关因素及其分子机制,本研究收集DQ中毒病人56例,按住院期间病人脑损伤情况分为脑损伤组14例和未损伤组42例,并比较两组病人的基线资料和实验室指标。利用logistic回归分析DQ...为研究敌草快(DQ)中毒病人的临床特点,评估中毒病人脑损伤的相关因素及其分子机制,本研究收集DQ中毒病人56例,按住院期间病人脑损伤情况分为脑损伤组14例和未损伤组42例,并比较两组病人的基线资料和实验室指标。利用logistic回归分析DQ中毒病人脑损伤的相关因素,利用受试者操作特征(ROC)曲线分析比较以上相关因素单独或联合时对DQ中毒病人脑损伤状态的预测价值。分组比较结果显示,脑损伤组病人的体质量指数(BMI)、DQ阳离子中毒剂量、接受机械通气、接受连续性肾脏替代治疗(CRRT)的比例显著高于未损伤组(P<0.05)。脑损伤组病人入院后S100钙结合蛋白B(S100B)、丙氨酸氨基转移酶(ALT)、天冬氨酸氨基转移酶(AST)、尿素氮(BUN)、肌酐(SCR)等血清生化指标,以及中毒后24 h的白细胞(WBC)计数、中性粒细胞计数、中性粒细胞与淋巴细胞比率(NLR)均显著高于未损伤组(P<0.05)。对分组比较中存在显著差异的变量按先单因素后多因素方式进行logistic回归分析,回归结果显示,中毒后24 h NLR对DQ中毒病人脑损伤状态有一定的独立预测价值。ROC曲线分析比较结果进一步表明,当中毒后24 h NLR联合BMI、DQ阳离子中毒剂量,或中毒后24 h NLR联合BMI、血液灌流前血液DQ质量浓度时,相比于单一指标可获得对DQ中毒病人脑损伤状态更高的预测价值。DQ中毒病人中毒后24 h NLR水平升高与脑损伤增加显著相关,可作为病人住院期间脑损伤发生的独立预测因子,当中毒后24 h NLR联合BMI及DQ阳离子中毒剂量、血液DQ质量浓度时可获得对脑损伤事件更高的预测价值。展开更多
文摘目的评价机械瓣膜置换手术后稳定期患者的华法林抗凝治疗质量,观察复方丹参片对机械瓣膜置换术后患者华法林抗凝治疗效果的影响,VKORC1、CYP2C9及CYP4F2的基因多态性对机械瓣膜置换术患者术后稳定期华法林敏感及华法林抵抗的影响。方法2011年7月至2014年2月在门诊随访时登记我们所施行的机械瓣膜置换手术后≥6个月的患者1831例,记录患者基本临床资料。抗凝治疗采用目标国际标准化比值(INR,1.6~2.2)及以每周为单位的华法林剂量调整策略。筛选46例需加用复方丹参片的患者,记录服用复方丹参片前后INR检测值并比较其差异。将本研究纳入患者按华法林服用剂量的百分位数进行分组,即华法林敏感患者、对照患者、华法林抵抗患者,筛选其中101例患者,采用TIANGENBloodDNAKit血液基因组DNA提取试剂盒提取样本,以聚合酶链限制性片段-长度多态性分析法(PCR-RELP)测定患者基因型。检测的基因位点为:CYP4F2:rs2108622C>T位点;VKORC1:1639G>A位点;VKORC1:1173C>T位点;CYP2C9*2:rs1799853C>T位点;CYP2C9*3:1061A>C位点。结果(1)本研究观察期间内所纳入患者目标INR范围治疗范围时间(time in therapeutic range,TTR)和治疗范围时间分数(fraction of time in therapeutic range,FTTR)分别为27.2%、49.4%,可接受INR范围内的TTR和FTTR分别为34.2%、63.4%。(2)加用复方丹参片的患者在加用前及加用后,INR检测值分别为1.55±0.03、1.69±0.30,差异有统计学意义(P<0.05)。(3)基因检测患者共101例,其中VKORC1:1173C>T基因位点中C/T构成比在华法林敏感、对比及华法林抵抗患者中依次升高,而CYP2C9*3:1061A>C基因位点中C/T的等位基因位点构成比依次降低。CYP4F2基因、VKORC1639基因、CYP2C9*2基因位点无差异。(4)国际华法林临床药理协会(IWPC)模型预测服用华法林剂量仅与华法林敏感患者实际服用华法林剂量吻合。结论机械瓣膜置换术后稳定期患者相对较
基金sponsored by the Institute of Information Technology(Vietnam Academy of Science and Technology)with Project Code“CS24.01”.
文摘Cancer is one of the most dangerous diseaseswith highmortality.One of the principal treatments is radiotherapy by using radiation beams to destroy cancer cells and this workflow requires a lot of experience and skill from doctors and technicians.In our study,we focused on the 3D dose prediction problem in radiotherapy by applying the deeplearning approach to computed tomography(CT)images of cancer patients.Medical image data has more complex characteristics than normal image data,and this research aims to explore the effectiveness of data preprocessing and augmentation in the context of the 3D dose prediction problem.We proposed four strategies to clarify our hypothesis in different aspects of applying data preprocessing and augmentation.In strategies,we trained our custom convolutional neural network model which has a structure inspired by the U-net,and residual blocks were also applied to the architecture.The output of the network is added with a rectified linear unit(Re-Lu)function for each pixel to ensure there are no negative values,which are absurd with radiation doses.Our experiments were conducted on the dataset of the Open Knowledge-Based Planning Challenge which was collected from head and neck cancer patients treatedwith radiation therapy.The results of four strategies showthat our hypothesis is rational by evaluating metrics in terms of the Dose-score and the Dose-volume histogram score(DVH-score).In the best training cases,the Dose-score is 3.08 and the DVH-score is 1.78.In addition,we also conducted a comparison with the results of another study in the same context of using the loss function.
文摘为研究敌草快(DQ)中毒病人的临床特点,评估中毒病人脑损伤的相关因素及其分子机制,本研究收集DQ中毒病人56例,按住院期间病人脑损伤情况分为脑损伤组14例和未损伤组42例,并比较两组病人的基线资料和实验室指标。利用logistic回归分析DQ中毒病人脑损伤的相关因素,利用受试者操作特征(ROC)曲线分析比较以上相关因素单独或联合时对DQ中毒病人脑损伤状态的预测价值。分组比较结果显示,脑损伤组病人的体质量指数(BMI)、DQ阳离子中毒剂量、接受机械通气、接受连续性肾脏替代治疗(CRRT)的比例显著高于未损伤组(P<0.05)。脑损伤组病人入院后S100钙结合蛋白B(S100B)、丙氨酸氨基转移酶(ALT)、天冬氨酸氨基转移酶(AST)、尿素氮(BUN)、肌酐(SCR)等血清生化指标,以及中毒后24 h的白细胞(WBC)计数、中性粒细胞计数、中性粒细胞与淋巴细胞比率(NLR)均显著高于未损伤组(P<0.05)。对分组比较中存在显著差异的变量按先单因素后多因素方式进行logistic回归分析,回归结果显示,中毒后24 h NLR对DQ中毒病人脑损伤状态有一定的独立预测价值。ROC曲线分析比较结果进一步表明,当中毒后24 h NLR联合BMI、DQ阳离子中毒剂量,或中毒后24 h NLR联合BMI、血液灌流前血液DQ质量浓度时,相比于单一指标可获得对DQ中毒病人脑损伤状态更高的预测价值。DQ中毒病人中毒后24 h NLR水平升高与脑损伤增加显著相关,可作为病人住院期间脑损伤发生的独立预测因子,当中毒后24 h NLR联合BMI及DQ阳离子中毒剂量、血液DQ质量浓度时可获得对脑损伤事件更高的预测价值。
