Objective This study was undertaken to investigate the influencing factors on serum ALT level and hepatitis C virus(HCV)RNA titer in chronic hepatitis C(CHC)patients.Methods All patients enrolled into this study were ...Objective This study was undertaken to investigate the influencing factors on serum ALT level and hepatitis C virus(HCV)RNA titer in chronic hepatitis C(CHC)patients.Methods All patients enrolled into this study were anti-HCV positive.Retrospective tracing method was applied to detect serum ALT level and HCV RNA titer and to collect general information of the patients such as genders,age groups,interferon medication history,infection pathways,height and weight.Then the multi-factor analysis was adopted with the application of binominal logistic regression mode.Results The abnormal rate of ALT level was positively correlated to HCV RNA and gender while negatively correlated to interferon medication history and age group,with Wald value of the 4 factors as 39.604,11.823,18.991 and 7.389,respectively.The positive rate of HCV RNA was negatively correlated to interferon medication history and gender while positively correlated to ALT level,with corresponding Wald value of the 3 factors as81.394,7.618 and 27.562,respectively.Conclusions The normal ALT level in HCV infected patients was associated with viral load,age,gender and interferon medication history,while the normal rate of HCV RNA titer was closely associated with gender,interferon medication history and ALT level.展开更多
本研究目的是探讨血清N-聚糖模型在285例丙氨酸转移酶(alanine aminotransferase,ALT)水平正常(<40 U·L^(-1))的慢性乙型肝炎(慢性乙肝)患者中诊断显著肝纤维化和肝硬化的临床意义。入组患者均进行肝组织活检,并使用Ishak评分...本研究目的是探讨血清N-聚糖模型在285例丙氨酸转移酶(alanine aminotransferase,ALT)水平正常(<40 U·L^(-1))的慢性乙型肝炎(慢性乙肝)患者中诊断显著肝纤维化和肝硬化的临床意义。入组患者均进行肝组织活检,并使用Ishak评分系统评估患者肝组织纤维化程度。应用基于DNA测序仪的荧光糖电泳技术检测患者血清N-聚糖图谱,每例患者的血清样本中共鉴定出9个N-聚糖峰。利用机器学习算法,即随机森林(random forest,RF)构建更理想的血清N-聚糖模型,以诊断显著肝纤维化(≥F3)和肝硬化(≥F5),并比较血清N-聚糖模型和其他纤维化标志物的诊断效能。肝组织活检结果显示,有显著肝纤维化和肝硬化患者分别占63.86%(182/285)和16.49%(47/285),有显著炎症患者为4.91%(14/285)。血清N-聚糖RF-A模型具有很好的诊断显著肝纤维化(≥F3)的效能,其受试者工作特征曲线下面积(area under receiver operating characteristic curve,AUROC)为0.94,与肝活检的符合率为90.45%。在诊断肝硬化(≥F5)时,血清N-聚糖RF-B模型的AUROC为0.97,与肝组织活检的符合率为88.94%。血清N-聚糖模型(RF-A和RF-B)的诊断效能优于肝硬度值测量(liver stiffness measurement,LSM)、基于4因子的纤维化指数(fibrosis index based on the four factors,FIB-4)和天冬氨酸转氨酶与血小板比率指数(aspartate aminotransferase-to-platelet ratio index,APRI)。在ALT水平正常的慢性乙肝患者中,血清N-聚糖模型可作为诊断显著肝纤维化或肝硬化的潜在生物标志物。展开更多
Accelerated life testing(ALT)has been widely used to obtain information about the product's life characteristics at normal conditions in a relatively short period of time.Two key issues with ALT are test design an...Accelerated life testing(ALT)has been widely used to obtain information about the product's life characteristics at normal conditions in a relatively short period of time.Two key issues with ALT are test design and data analysis.The test design of constant stress ALT was studied in this paper.The test design usually combines engineering experiences with optimization models.Such approaches are hard to be implemented by practitioners.A"pure"empirical approach was presented to address this issue.With the proposed approach,some of the decision variables are determined based on the results from the literature,some of the other variables are determined based on engineering analysis and /or judgment,and the remaining variables are determined based on the empirical relations developed in this paper.A real-world example is included to illustrate the appropriateness of the proposed approach.展开更多
基金supported by a grant from National Health Department of China(2008ZX10005-009)Roche company
文摘Objective This study was undertaken to investigate the influencing factors on serum ALT level and hepatitis C virus(HCV)RNA titer in chronic hepatitis C(CHC)patients.Methods All patients enrolled into this study were anti-HCV positive.Retrospective tracing method was applied to detect serum ALT level and HCV RNA titer and to collect general information of the patients such as genders,age groups,interferon medication history,infection pathways,height and weight.Then the multi-factor analysis was adopted with the application of binominal logistic regression mode.Results The abnormal rate of ALT level was positively correlated to HCV RNA and gender while negatively correlated to interferon medication history and age group,with Wald value of the 4 factors as 39.604,11.823,18.991 and 7.389,respectively.The positive rate of HCV RNA was negatively correlated to interferon medication history and gender while positively correlated to ALT level,with corresponding Wald value of the 3 factors as81.394,7.618 and 27.562,respectively.Conclusions The normal ALT level in HCV infected patients was associated with viral load,age,gender and interferon medication history,while the normal rate of HCV RNA titer was closely associated with gender,interferon medication history and ALT level.
基金supported by the Major Science and Technology Special Project of China Thirteenth Five-year Plan(2018ZX10732401-003-015)the National Science and Technology Major Project(2013ZX10002005 and 2017ZX10203202)。
文摘本研究目的是探讨血清N-聚糖模型在285例丙氨酸转移酶(alanine aminotransferase,ALT)水平正常(<40 U·L^(-1))的慢性乙型肝炎(慢性乙肝)患者中诊断显著肝纤维化和肝硬化的临床意义。入组患者均进行肝组织活检,并使用Ishak评分系统评估患者肝组织纤维化程度。应用基于DNA测序仪的荧光糖电泳技术检测患者血清N-聚糖图谱,每例患者的血清样本中共鉴定出9个N-聚糖峰。利用机器学习算法,即随机森林(random forest,RF)构建更理想的血清N-聚糖模型,以诊断显著肝纤维化(≥F3)和肝硬化(≥F5),并比较血清N-聚糖模型和其他纤维化标志物的诊断效能。肝组织活检结果显示,有显著肝纤维化和肝硬化患者分别占63.86%(182/285)和16.49%(47/285),有显著炎症患者为4.91%(14/285)。血清N-聚糖RF-A模型具有很好的诊断显著肝纤维化(≥F3)的效能,其受试者工作特征曲线下面积(area under receiver operating characteristic curve,AUROC)为0.94,与肝活检的符合率为90.45%。在诊断肝硬化(≥F5)时,血清N-聚糖RF-B模型的AUROC为0.97,与肝组织活检的符合率为88.94%。血清N-聚糖模型(RF-A和RF-B)的诊断效能优于肝硬度值测量(liver stiffness measurement,LSM)、基于4因子的纤维化指数(fibrosis index based on the four factors,FIB-4)和天冬氨酸转氨酶与血小板比率指数(aspartate aminotransferase-to-platelet ratio index,APRI)。在ALT水平正常的慢性乙肝患者中,血清N-聚糖模型可作为诊断显著肝纤维化或肝硬化的潜在生物标志物。
基金National Natural Science Foundation of China(No.71371035)
文摘Accelerated life testing(ALT)has been widely used to obtain information about the product's life characteristics at normal conditions in a relatively short period of time.Two key issues with ALT are test design and data analysis.The test design of constant stress ALT was studied in this paper.The test design usually combines engineering experiences with optimization models.Such approaches are hard to be implemented by practitioners.A"pure"empirical approach was presented to address this issue.With the proposed approach,some of the decision variables are determined based on the results from the literature,some of the other variables are determined based on engineering analysis and /or judgment,and the remaining variables are determined based on the empirical relations developed in this paper.A real-world example is included to illustrate the appropriateness of the proposed approach.
