肾移植术是终末期肾病(end-stage renal disease,ESRD)患者最合理的替代治疗方法,能提升患者生活质量和延长患者生存时间[1],是最为常见的器官移植手术之一,2017年中国共施行肾移植10793例,居世界第2位[2]。进入21世纪以来,肾移植短期...肾移植术是终末期肾病(end-stage renal disease,ESRD)患者最合理的替代治疗方法,能提升患者生活质量和延长患者生存时间[1],是最为常见的器官移植手术之一,2017年中国共施行肾移植10793例,居世界第2位[2]。进入21世纪以来,肾移植短期存活与长期存活均有明显改善,但术后并发症越来越受到大家重视。慢性肾脏病-矿物质和骨异常是ESRD最常见的远期并发症之一,肾移植术后随着肾功能的恢复,骨、矿物质代谢紊乱能否快速纠正,仍需大量临床资料验证。有文献报道,肾移植术后仍然有高达50%患者存在骨代谢异常[3]。I型前胶原蛋白是I型胶原合成前体,成骨细胞合成I型胶原时,I型前胶原蛋白氨基末端前肽被特异蛋白水解酶解离,因此,监测血液中总I型前胶原蛋白氨基末端前肽(total procollagen I N-terminal peptide,T-PINP)的含量可反映I型胶原的合成及骨代谢转换情况[4-5],T-PINP升高表明骨合成活跃,胶原降解产物(β-C-terminal telopeptide of type I collagen,β-CTX)是I型胶原C端肽的主要成分,是目前评价破骨细胞活性及骨吸收最有价值的指标,因此联合监测T-PINP与β-CTX可动态观察肾移植术后骨代谢变化过程。本研究通过总结佛山市第一人民医院20例肾移植患者临床资料,观察肾移植患者术后短期骨代谢的变化趋势。展开更多
In the article, an improved variational inference （VI） framework for learning finite Beta-Liouville mixture models （BLM） is proposed for proportional data classification and clustering. Within the VI framework, so...In the article, an improved variational inference （VI） framework for learning finite Beta-Liouville mixture models （BLM） is proposed for proportional data classification and clustering. Within the VI framework, some non-linear approximation techniques are adopted to obtain the approximated variational object functions. Analytical solutions are obtained for the variational posterior distributions. Compared to the expectation maximization （EM） algorithm which is commonly used for learning mixture models, underfitting and overfitting events can be prevented. Furthermore, parameters and complexity of the mixture model （model order） can be estimated simultaneously. Experiment shows that both synthetic and real-world data sets are to demonstrate the feasibility and advantages of the proposed method.展开更多
文摘肾移植术是终末期肾病(end-stage renal disease,ESRD)患者最合理的替代治疗方法,能提升患者生活质量和延长患者生存时间[1],是最为常见的器官移植手术之一,2017年中国共施行肾移植10793例,居世界第2位[2]。进入21世纪以来,肾移植短期存活与长期存活均有明显改善,但术后并发症越来越受到大家重视。慢性肾脏病-矿物质和骨异常是ESRD最常见的远期并发症之一,肾移植术后随着肾功能的恢复,骨、矿物质代谢紊乱能否快速纠正,仍需大量临床资料验证。有文献报道,肾移植术后仍然有高达50%患者存在骨代谢异常[3]。I型前胶原蛋白是I型胶原合成前体,成骨细胞合成I型胶原时,I型前胶原蛋白氨基末端前肽被特异蛋白水解酶解离,因此,监测血液中总I型前胶原蛋白氨基末端前肽(total procollagen I N-terminal peptide,T-PINP)的含量可反映I型胶原的合成及骨代谢转换情况[4-5],T-PINP升高表明骨合成活跃,胶原降解产物(β-C-terminal telopeptide of type I collagen,β-CTX)是I型胶原C端肽的主要成分,是目前评价破骨细胞活性及骨吸收最有价值的指标,因此联合监测T-PINP与β-CTX可动态观察肾移植术后骨代谢变化过程。本研究通过总结佛山市第一人民医院20例肾移植患者临床资料,观察肾移植患者术后短期骨代谢的变化趋势。
基金supported by the National Natural Science Foundation of China(61303232,61363085,61121061,60972077)the Hi-Tech Research and Development Program of China(2009AA01Z430)
文摘In the article, an improved variational inference （VI） framework for learning finite Beta-Liouville mixture models （BLM） is proposed for proportional data classification and clustering. Within the VI framework, some non-linear approximation techniques are adopted to obtain the approximated variational object functions. Analytical solutions are obtained for the variational posterior distributions. Compared to the expectation maximization （EM） algorithm which is commonly used for learning mixture models, underfitting and overfitting events can be prevented. Furthermore, parameters and complexity of the mixture model （model order） can be estimated simultaneously. Experiment shows that both synthetic and real-world data sets are to demonstrate the feasibility and advantages of the proposed method.
