Objective To summarize our clinical experience in liver transplantation while considering the background in this filed in China. Methods Ninety-five patients who had received liver transplantation from April 1993 to M...Objective To summarize our clinical experience in liver transplantation while considering the background in this filed in China. Methods Ninety-five patients who had received liver transplantation from April 1993 to March 2002 were analyzed retrospectively. Three periods were defined objectively as period Ⅰ(1993-1997),Ⅱ(1999) and Ⅲ(2000 -2002). Operative techniques, recipients, original diseases, complications and survival rates were compared among the three periods. Results Malignant liver lesions were the main cause for liver transplantation in period Ⅰ and Ⅱ. The ratio of number of malignant disease to total recipients decreased gradually from period Ⅰ to Ⅱ (100%, 53% and 35%, respectively). The 1-year survival rate in patients with benign liver disease was 85 % and the total operative mortality was 5% in period Ⅲ. The incidence of hepatitis B virus reactivation or reinfection was 24% twelve months after liver transplantation. Vascular complication decreased but biliary complications did展开更多
In this study we validate the raw ensemble mean forecasts of the CCCma's GCM2 model against surface temperature and precipitation data obtained from 160 Chinese stations.It is found that despite the lagre biases,t...In this study we validate the raw ensemble mean forecasts of the CCCma's GCM2 model against surface temperature and precipitation data obtained from 160 Chinese stations.It is found that despite the lagre biases,the model was able to produce seasonal anomalies that have properties that are reasonably close to those that are observed.This anomaly is the quantity of interest when forecasting seasonal climatic conditions.The root mean squared difference(RMSD) between the forecast and observed anomaly leads us to be modestly optimistic about the prospects for using dynamical models to forecast the interannual variability of some meteorological elements. The correlation analysis of the forecast and observation also supports the result given by the RMSD analysis and provides a tool for identify the forecast confidence level in various regions,展开更多
文摘Objective To summarize our clinical experience in liver transplantation while considering the background in this filed in China. Methods Ninety-five patients who had received liver transplantation from April 1993 to March 2002 were analyzed retrospectively. Three periods were defined objectively as period Ⅰ(1993-1997),Ⅱ(1999) and Ⅲ(2000 -2002). Operative techniques, recipients, original diseases, complications and survival rates were compared among the three periods. Results Malignant liver lesions were the main cause for liver transplantation in period Ⅰ and Ⅱ. The ratio of number of malignant disease to total recipients decreased gradually from period Ⅰ to Ⅱ (100%, 53% and 35%, respectively). The 1-year survival rate in patients with benign liver disease was 85 % and the total operative mortality was 5% in period Ⅲ. The incidence of hepatitis B virus reactivation or reinfection was 24% twelve months after liver transplantation. Vascular complication decreased but biliary complications did
文摘In this study we validate the raw ensemble mean forecasts of the CCCma's GCM2 model against surface temperature and precipitation data obtained from 160 Chinese stations.It is found that despite the lagre biases,the model was able to produce seasonal anomalies that have properties that are reasonably close to those that are observed.This anomaly is the quantity of interest when forecasting seasonal climatic conditions.The root mean squared difference(RMSD) between the forecast and observed anomaly leads us to be modestly optimistic about the prospects for using dynamical models to forecast the interannual variability of some meteorological elements. The correlation analysis of the forecast and observation also supports the result given by the RMSD analysis and provides a tool for identify the forecast confidence level in various regions,
