Search

Background Impaired fasting glucose (IFG) is a prediabetic condition. Considering that the clinical symptoms of IFG are inconspicuous, these tend to be easily ignored by individuals, leading to conversion to diabetes mellitus (DM). In this study, we established a prediction model for the onset risk of IFG in the Chongqing health check-up population to provide a reference for prevention in a health check-up cohort. Methods We conducted a retrospective longitudinal cohort study in Chongqing, China from January 2009 to December 2019. The qualified subjects were more than 20 years old and had more than two health check-ups. After following the inclusion and exclusion criteria, the cohort population was randomly divided into a training set and a test set at a ratio of 7:3. We first selected the predictor variables through the univariate generalized estimation equation (GEE), and then the training set was used to establish the IFG risk model based on multivariate GEE. Finally, the sensitivity, specificity, and receiver operating characteristic curves were used to verify the performance of the model. Results A total of 4,926 subjects were included in this study, with an average of 3.87 check-up records, including 2,634 males and 2,292 females. There were 442 IFG cases during the follow-up period, including 286 men and 156 women. The incidence density was 26.88/1000 person-years for men and 18.53/1000 person-years for women (PP=0.3849), age (RR=1.030, 95 %CI: 1.016-1.044, PP=0.0975), systolic blood pressure (RR=1.004, 95 %CI: 0.993-1.016, P=0.4712), diastolic blood pressure (RR=1.023, 95 %CI: 1.005-1.041, P=0.0106), obesity (RR=1.797, 95 %CI: 1.126-2.867, P=0.0140), triglycerides (RR=1.107, 95 %CI: 0.943-1.299, P=0.2127), high-density lipoprotein cholesterol (RR=0.992, 95 %CI: 0.476-2.063, P=0.9818), low-density lipoprotein cholesterol (RR=1.793, 95 %CI: 1.085-2.963, P=0.0228), blood urea (RR=1.142, 95 %CI: 1.022-1.276, P=0.0192), serum uric acid (RR=1.004, 95 %CI: 1.002-1.005, P=0.0003), total cholesterol (RR=0.674, 95 %CI: 0.403-1.128, P=0.1331), and serum creatinine levels (RR=0.960, 95 %CI: 0.945-0.976, P Conclusions The prediction model for the onset risk of IFG had good predictive ability in the health check-up cohort.

Background Osteoporosis is a gradually recognized health problem with risks related to disease history and living habits. This study aims to establish the optimal prediction model by comparing the performance of four prediction models that incorporated disease history and living habits in predicting the risk of Osteoporosis in Chongqing adults. Methods We conduct a cross-sectional survey with convenience sampling in this study. We use a questionnaire From January 2019 to December 2019 to collect data on disease history and adults’ living habits who got dual-energy X-ray absorptiometry. We established the prediction models of osteoporosis in three steps. Firstly, we performed feature selection to identify risk factors related to osteoporosis. Secondly, the qualified participants were randomly divided into a training set and a test set in the ratio of 7:3. Then the prediction models of osteoporosis were established based on Artificial Neural Network (ANN), Deep Belief Network (DBN), Support Vector Machine (SVM) and combinatorial heuristic method (Genetic Algorithm - Decision Tree (GA-DT)). Finally, we compared the prediction models’ performance through accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC) to select the optimal prediction model. Results The univariate logistic model found that taking calcium tablet (odds ratio [OR] = 0.431), SBP (OR = 1.010), fracture (OR = 1.796), coronary heart disease (OR = 4.299), drinking alcohol (OR = 1.835), physical exercise (OR = 0.747) and other factors were related to the risk of osteoporosis. The AUCs of the training set and test set of the prediction models based on ANN, DBN, SVM and GA-DT were 0.901, 0.762; 0.622, 0.618; 0.698, 0.627; 0.744, 0.724, respectively. After evaluating four prediction models’ performance, we selected a three-layer back propagation neural network (BPNN) with 18, 4, and 1 neuron in the input layer, hidden and output layers respectively, as the optimal prediction model. When the probability was greater than 0.330, osteoporosis would occur. Conclusions Compared with DBN, SVM and GA-DT, the established ANN model had the best prediction ability and can be used to predict the risk of osteoporosis in physical examination of the Chongqing population. The model needs to be further improved through large sample research.

Studies have explored the relation between serum uric acid (SUA) and carotid intima-media thickness (CIMT), but the relation remains controversial. The purpose of this study was to examine SUA concentration and its correlation with carotid artery atherosclerosis according to age group and gender. Subjects who underwent physical examinations at the First Affiliated Hospital of Chongqing Medical University from 2016 to 2020 were selected. Using traditional atherosclerosis risk factors as adjustment variables, the association between blood uric acid level and atherosclerosis was assessed by logistic regression analysis. A total of 15,843 subjects (73.90% men) were included, with an average age of 52 ± 12 years. The prevalence of increased CIMT was 9.51%, and the prevalence of plaque was 28.59%. Univariate analysis results showed that there were significant differences in the occurrence of increased CIMT and plaque among different SUA-level groups in both men and women (p0.0001). After adjustment for conventional cardiovascular risk factors, increased SUA level was significantly associated with an increased risk of carotid intima-media thickening. Correlation analysis in each age subgroup showed that CIMT was significantly associated with SUA in men ≥60 years old and women 45 to 60 years old or ≥60 years old (p0.0001). In conclusion, in both men and women, increased SUA levels are closely associated with increased CIMT. The age at which this association was observed was lower in women than in men; whether the lower age in women is due to changes in hormone levels between before and after menopause remains to be prospectively studied.

Objective: Uric acid is thought to be associated with the occurrence of atherosclerosis, which is closely related to cardio-cerebrovascular disease. However, the present study examined serum uric acid (SUA) and its correlation with carotid intima-media thickness (CIMT), which is a major issue. The purpose of this paper is to examine serum uric acid concentration and its correlation with carotid artery atherosclerosis according to age and sex groups.Methods: Individuals who underwent physical examinations at the First Affiliated Hospital of Chongqing Medical University from 2016 to 2020 were selected. The physical examination information of the subjects was recorded, and biochemical indexes such as blood uric acid levels were collected. The intima media thickness of the carotid artery was measured by ultrasound. Using traditional atherosclerosis risk factors as adjustment variables, the association between blood uric acid levels and atherosclerosis was assessed by logistic regression analysis.Results: A total of 15,843 subjects (73.90% male) were included, with an average age of 52±12 (20-92) years. The prevalence of CIMT thickened was 9.51%, and the plaque prevalence was 28.59%. Univariate analysis results showed that there were significant differences in CIMT thickening and plaque occurrence among different SUA level groups in both men and women (P430 μmol/L: OR=1.857, 95% CI: 1.264-2.73;P < 0.05. female: ≤210 μmol/L as the reference group, 260-310 μmol/L: OR=1.419, 95% CI: 1.059-1.901; 310-360 μmol/L: OR=1.432, 95% CI: 1.048-1.957; >360 μmol/L: OR=1.557, 95% CI: 1.113-2.177; P < 0.05). Correlation analysis in each age subgroup showed that CIMT was significantly associated with SUA in men ≥60 years old and women 45-60 years old and ≥60 years old (male: ≤220 μmol/L as the reference group, >430 μmol/L: OR=1.972, 95% CI: [1.2,3.238]. female: ≤210 μmol/L as the reference group, >360 μmol/L (45-60 years old): OR=1.77, 95% CI:[1.107,2.832]; > 360 μmol/L (≥60 years old), OR = 1.65, 95% CI: [1.067, 2.551]. P < 0.05).Conclusions: In both men and women, increased SUA levels are closely associated with thickened CIMT, which is associated with a higher risk of cardio-cerebrovascular disease. The age at which this association was observed in women was lower than in men, and whether this result is due to changes in hormone levels before and after menopause remains to be prospectively studied.

Flood vulnerability is the key to understanding and assessing flood risk. However, analyzing flood vulnerability requires sophisticated data, which is usually not available in reality. With the widespread use of big data in cities today, it is possible to quickly obtain building parameters in cities on a large scale, thus offering the possibility to study the risk flooding poses to urban buildings. To fill this research gap, taking Shanghai as an example, this study developed a new research framework to assess urban vulnerability based on vulnerability curves and online data of residential buildings. First, detailed information about residential buildings was prepared via web crawlers. Second, the cleaned residential building information fed a support vector machine (SVM) algorithm to classify the buildings into four flood vulnerability levels that represented the vulnerability curves of the four building types. Third, the buildings of different levels were given vulnerability scores by accumulating the depth–damage ratios across the possible range of flood depth. Further, combined with the unit price of houses, flood risk was assessed for residential buildings. The results showed that the F1-score for the classification of buildings was about 80%. The flood vulnerability scores were higher in both the urban center and the surrounding areas and lower between them. Since 1990, the majority of residential buildings in Shanghai have switched from masonry–concrete structures to steel–concrete structures, greatly reducing the vulnerability to floods. The risk assessment showed decreasing risk trend from the center outward, with the highest risk at the junction of the Huangpu, Jing’an and Xuhui districts. Therefore, this framework can not only identify the flood vulnerability patterns but also provide a clue for revealing the flood risk of residential buildings. With real estate data becoming increasingly accessible, this method can be widely applied to other cities to facilitate flood vulnerability and risk assessment.

The 15-minute community life circle (15min-CLC) strategy is one of Shanghai’s important methods for building a global city and facing a society with a more diverse population structure in the future. In the existing research, the balance between the construction of the life circle and the needs of the people in the life circle still needs to be further fulfilled. This paper is based on the city’s multi-source large data set including 2018 AutoNavi POI (Point of Interests), OSM (OpenStreetMap) road network data and LandScan population data set, and evaluates the current status of Shanghai’s 15min-CLC through the fusion of kernel density estimation, service area analysis and other statistical models and proposes relevant optimization suggestions. The results show that there are the following shortcomings: (1) From the perspective of different types of infrastructure service facilities, the spatial construction of Shanghai’s overall life service facilities and shopping service facilities needs to be optimized. (2) From the perspective of comprehensive evaluation, the comprehensive service convenience of infrastructure service facilities in the downtown area is relatively high, while the comprehensive service convenience of urban infrastructure service facilities in the suburbs and outer suburbs is relatively low; The diversity of basic service facilities in the 15min-CLC in the downtown area is more consistent with the population distribution; However, in the peripheral areas of the urban area, too many infrastructure service facilities have been constructed. Based on the above shortcomings and the perspective of supply and demand matching, relevant optimization strategies are proposed in different regions and different types of infrastructure service facilities: (1) focus on the construction of basic service facilities in the urban fringe and urban-rural areas, improve the full coverage of the basic service facilities, and appropriately reduce the number of basic service facilities in the downtown area. (2) The development of community business models can be used to promote the development of new life service facilities and shopping service facilities. (3) Improve community medical institutions through facility function conversion, merger and reconstruction, etc. (4) Optimize the hierarchical basic service facility system and improve the population supporting facilities of basic service facilities in the 15min-CLC. This paper incorporates people’s needs and concerns on the living environment into the 15min-CLC evaluation model, and uses Shanghai as an example to conduct research, summarizes the existing shortcomings, and proposes corresponding optimization strategies based on the matching of supply and demand. This article attempts to explore a replicable 15min-CLC planning model, so that it can be extended to the Yangtze River Delta urban agglomeration, to provide reference for further research on the 15min-CLC, and to promote urban construction under the concept of sustainable development.

Public toilets, as the most typical public facilities, reflect the civilized level and management service level of the city, and it is also an important window to establish a civilized image of the city. In the existing research, more attention has been paid to the accessibility and service scope of public toilets, while ignoring the different levels of demand for public toilets in different functional areas. This article uses POI data and TF-IDF model to identify urban functional areas, and combines OSM road network data and WorldPop population data to calculate the population travel vitality index, and evaluation of public toilet services in urban functional areas. The results show that this method fully takes into account the issue of the heterogeneity of the functional areas of public toilets and the travel vitality of the population, and the spatial analysis is more accurate and has more practical value.

Additional file 1.

Enabling public sharing of scientific data in China not only needs top-down mandates but also incentive mechanisms that boost confidence and willingness to engage in data-sharing practices among Chinese researchers.

COVID-19 (Corona Virus Disease 2019) is globally spreading and the international cooperation is urgently required in joint prevention and control of the epidemic. Using the Maximum-Hasting (MH) parameter estimation method and the modified Susceptible Exposed Infectious Recovered (SEIR) model, the spread of the epidemic under three intervention scenarios (suppression, mitigation, mildness) is simulated and predicted in South Africa, Egypt, and Algeria, where the epidemic situations are severe. The studies are also conducted in Nigeria, Senegal and Kenya, where the epidemic situations are growing rapidly and the socio-economic are relatively under-developed, resulting in more difficulties in preventing the epidemic. Results indicated that the epidemic can be basically controlled in late April with strict control of scenario one, manifested by the circumstance in the South Africa and Senegal. Under moderate control of scenario two, the number of infected people will increase by 1.43-1.55 times of that in scenario one, the date of the epidemic being controlled will be delayed by about 10 days, and Algeria, Nigeria, and Kenya are in accordance with this situation. In the third scenario of weak control, the epidemic will be controlled by late May, the total number of infected cases will double that in scenario two, and Egypt is in line with this prediction. In the end, a series of epidemic controlling methods are proposed, including patient quarantine, close contact tracing, population movement control, government intervention, city and county epidemic risk level classification, and medical cooperation and the Chinese assistance.

As a unique unit in the social space, the group of tourists explores exotic natural and cultural environments in order to better understand the space which is strange to them and seek delightful personal travel experience. In this chapter, we integrated three studies on travelers’ perception toward city space (also known as tourists’ city space image) to introduce research designs of relevant research on city spaces in China. Meanwhile, all the three studies used user generated contents from social media as raw data. With the popularity of social media (known as “We Media, or citizen journalism”), tourists are more likely to share their space experiences of cities by bloggers, twitters in the forms of texts, pictures, videos etc. We Media channels and contents can be regarded as a new type of information besides the official and professional media. Based on these data, the three studies examined tourists’ perceived images of city center, historical community and traditional water town of Shanghai. These tourists’ evaluations are helpful for city planning on space uses and public services and provides insightful suggestions for local governments to optimize social space planning in city and rural areas.

Research on land surface processes at the catchment scale has drawn much attention over the past few decades, and a number of watershed observatories have been established worldwide. The Heihe River Basin (HRB), which contains the second largest inland river in China, is an ideal natural field experimental area for investigation of land surface processes involving diverse landscapes and the coexistence of cold and arid regions. The Heihe Integrated Observatory Network was established in 2007. For long-term observations, a hydrometeorological observatory, ecohydrological wireless sensor network, and satellite remote sensing are now in operation. In 2012, a multiscale observation experiment on evapotranspiration over heterogeneous land surfaces was conducted in the midstream region of the HRB, which included a flux observation matrix, wireless sensor network, airborne remote sensing, and synchronized ground measurements. Under an open data policy, the datasets have been publicly released following careful data processing and quality control. The outcomes highlight the integrated research on land surface processes in the HRB and include observed trends, scaling methods, high spatiotemporal resolution remote sensing products, and model–data integration in the HRB, all of which are helpful to other endorheic basins in the “Silk Road Economic Belt.” Henceforth, the goal of the Heihe Integrated Observatory Network is to develop an intelligent monitoring system that incorporates ground-based observatory networks, unmanned aerial vehicles, and multi-source satellites through the Internet of Things technology. Furthermore, biogeochemical processes observation will be improved, and the study of integrating ground observations, remote sensing, and large-scale models will be promoted further.

Common software for land data assimilation is urgently needed to implement a wide variety of assimilation applications; however, a fast, easy-to-use, and multidisciplinary application-oriented assimilation platform has not been achieved. Therefore, we developed Common software for Nonlinear and non-Gaussian Land Data Assimilation (ComDA). ComDA integrates multiple algorithms (including diverse Kalman and particle filters), models and observation operators (e.g., common land model (CoLM), Advanced Integral Equation Model (AIEM)), and provides general interfaces for additional operators. Using mixed-language programming and parallel computing technologies (Open Multi-Processing (OpenMP), Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA)), ComDA can assimilate various land surface variables and remote sensing observations. High-performance computing and synthetic tests and real-world tests indicate that ComDA achieves the standard of common land data assimilation software with parallel computation, multiple operators, and assimilation algorithms and is compatible with many models. ComDA can be applied for multidisciplinary data assimilation.

We introduce a multiscale dataset obtained from Heihe Watershed Allied Telemetry Experimental Research (HiWATER) in an oasis-desert area in 2012. Upscaling of eco-hydrological processes on a heterogeneous surface is a grand challenge. Progress in this field is hindered by the poor availability of multiscale observations. HiWATER is an experiment designed to address this challenge through instrumentation on hierarchically nested scales to obtain multiscale and multidisciplinary data. The HiWATER observation system consists of a flux observation matrix of eddy covariance towers, large aperture scintillometers, and automatic meteorological stations; an eco-hydrological sensor network of soil moisture and leaf area index; hyper-resolution airborne remote sensing using LiDAR, imaging spectrometer, multi-angle thermal imager, and L-band microwave radiometer; and synchronical ground measurements of vegetation dynamics, and photosynthesis processes. All observational data were carefully quality controlled throughout sensor calibration, data collection, data processing, and datasets generation. The data are freely available at figshare and the Cold and Arid Regions Science Data Centre. The data should be useful for elucidating multiscale eco-hydrological processes and developing upscaling methods.

The Heihe Watershed Allied Telemetry Experimental Research (WATER) (HiWATER) experiment is currently being conducted in the Heihe River Basin in China. Its predecessor experiment, the WATER project, was conducted in the same river basin from 2007 to 2010. As an interdisciplinary, intensive, coordinated, and multiscale experiment, WATER produced data that ranged from remote sensing observations to field campaign measurements. These data, which comprise a total of 2.1 TB contained in 255 data sets, were released on the WATER data Web site in July 2010. This letter provides an overview of the WATER data repository, the major data sets, and some data examples. The WATER Information System (WIS), which enables the user community to explore and to order the data in a simple manner, was designed. The data acquisition records indicate that the WATER data sets have received extensive attention and demonstrate that WIS works effectively. Numerous scientific applications have been achieved with the aid of WATER data collection, and some of these applications have revealed that the availability of complete high-quality data produced from a large-scale experiment can provide substantial support to studies of ecohydrological processes and remote sensing and also aid the development of watershed sciences. HiWATER will use the data information system developed during WATER to make it freely available to international scientific communities.

The spatial resolution of general circulation models (GCMs) is too coarse to represent regional climate variations at the regional, basin, and local scales required for many environmental modeling and impact assessments. Weather research and forecasting model (WRF) is a next- generation, fully compressible, Euler non-hydrostatic mesoscale forecast model with a run-time hydrostatic option. This model is useful for downscaling weather and climate at the scales from one kilometer to thousands of kilometers, and is useful for deriving meteorological parameters required for hydrological simulation too. The objective of this paper is to validate WRF simulating 5 km/ 1 h air temperatures by daily observed data of China Meteorological Administration (CMA) stations, and by hourly in-situ data of the Watershed Allied Telemetry Experimental Research Project. The daily validation shows that the WRF simulation has good agreement with the observed data; the R 2 between the WRF simulation and each station is more than 0.93; the absolute of meanbias error (MBE) for each station is less than 2°C; and the MBEs of Ejina, Mazongshan and Alxa stations are near zero, with R 2 is more than 0.98, which can be taken as an unbiased estimation. The hourly validation shows that the WRF simulation can capture the basic trend of observed data, the MBE of each site is approximately 2°C, the R 2 of each site is more than 0.80, with the highest at 0.95, and the computed and observed surface air temperature series show a significantly similar trend.

Background The polymorphisms of VKORC1 and CYP2C9 play increasingly important roles in the inter-individual variability in warfarin dose. This study aimed to evaluate the feasibility of clinical application of pharmacogenetic-based warfarin-dosing algorithm in patients of Han nationality with rheumatic heart disease after valve replacement in a randomized and controlled trial. Methods One hundred and one consecutive patients of Han nationality with rheumatic heart disease undergoing valve surgery were enrolled and randomly assigned to an experimental group (n=50, based on CYP2C9 and VKORC1 genotypes, pharmacogenetic-based “predicted warfarin dose” for 3 days and then was adjusted to INR until stable warfarin maintenance dose) or a control group (n=51, 2.5mg/d for 3 days and then was adjusted to INR until stable warfarin maintenance dose). All included patients were followed for 50 days after initiation of warfarin therapy. The primary end-point was the time to reach a stable warfarin maintenance dose. Results During the follow-up, 84.0% patients in the experimental group and 58.8% patients in the control group received warfarin maintenance dose. Compared with control group, patients in the experimental group had shorter mean time elapse from initiation of warfarin therapy until warfarin maintenance dose (27.5±1.8 d versus 34.7±1.8 d, p

Background The polymorphisms of VKORC1 and CYP2C9 play increasingly important roles in the inter-individual variability in warfarin dose. This study aimed to evaluate the feasibility of clinical application of pharmacogenetic-based warfarin-dosing algorithm in patients of Han nationality with rheumatic heart disease after valve replacement in a randomized and controlled trial. Methods One hundred and one consecutive patients of Han nationality with rheumatic heart disease undergoing valve surgery were enrolled and randomly assigned to an experimental group (n=50, based on CYP2C9 and VKORC1 genotypes, pharmacogenetic-based “predicted warfarin dose” for 3 days and then was adjusted to INR until stable warfarin maintenance dose) or a control group (n=51, 2.5mg/d for 3 days and then was adjusted to INR until stable warfarin maintenance dose). All included patients were followed for 50 days after initiation of warfarin therapy. The primary end-point was the time to reach a stable warfarin maintenance dose. Results During the follow-up, 84.0% patients in the experimental group and 58.8% patients in the control group received warfarin maintenance dose. Compared with control group, patients in the experimental group had shorter mean time elapse from initiation of warfarin therapy until warfarin maintenance dose (27.5±1.8 d versus 34.7±1.8 d, pConclusion: Based on CYP2C9 and VKORC1 genotypes, the pharmacogenetic-based warfarin-dosing algorithm may shorten the time elapse from initiation of warfarin therapy until warfarin maintenance dose. It is feasible for the clinical application of the pharmacogenetic-based warfarin-dosing algorithm in patients of Han nationality with rheumatic heart disease after valve replacement.

Sharing of scientific data can help scientific research to flourish and facilitate more widespread use of scientific data for the benefit of society. The Environmental and Ecological Science Data Center for West China (WestDC), sponsored by the National Natural Science Foundation of China (NSFC), aims to collect, manage, integrate, and disseminate environmental and ecological data from western China. It also aims to provide a long-term data service for multidisciplinary research within NSFC's “Environment and Ecology of West China Research Plan” (NSFC West Plan). An integrated platform has been developed by the WestDC, and this has the function of data sharing, acting as a knowledge repository. Major data sets developed by the WestDC include basic geographic data, the regionalization of global data set for China, scientific data for cold and arid regions in China, scientific data for the cryosphere in countries that neighbor China, data relating to the inland river basins in northwestern China, a...

A new type of self-aligned spotsize converter (SSC) integrated 1.55 μm DFB lasers had been proposed in this article. The upper optical confinement layer and the butt-coupled tapered thickness waveguide were regrown simultaneously, which not only offered the separate optimization of the active region and the integrated SSC, but also reduced the difficulty of the butt-joint selective regrowth. The vertical and horizontal far field angles were 9° and 12° respectively, the 1- dB misalignment tolerance were both 3.6 and 3.4 μm. The directed coupling efficiency to tapered single mode fiber was 48%.

To analyze the characters of incidence, pathological and immunological phenotype of malignant lymphoma(ML), and to study the significance of IgH and TCR T cell receptor gene rearrangement for NHL typing.Immunological phenotyping was conducted by SABC, and IgH (FR2A, FR3A)TCR (beta,gamma) gene rearrangement detected by PCR of some pathological wax and bone marrow samples.(1) In ML, the percentage of non-Hodgkin lymphoma, (NHL) was 88.6% and Hodgkin lymphoma (HL) was 11.4%. The incidence increased with the patient's age. The percentage of patients over 60 years was 38.6%, and the median survival time of those older than 60 years was significantly shorter than that of the younger. (2) The percentage of B-NHL was 68.6%, and that of T-NHL was 28.6%; 3 years' survival time rate of B-NHL was higher than that of T-NHL. (3) The percentage of low grade NHL was 42%, and that of middle and high grade NHL was 58%; and the overall survival time was not significantly different between the two groups. But the overall survival time was longer in patients in stages I-II than in stages III-IV. (4) The results of detection on wax and bone marrow samples showed that B-NHL FR2A were 66.7% and 56.2% positive, FR3A 90.4% and 81.2% positive; in T-NHL patients, TCR-beta and TCR-gamma gene rearrangements were 91.7% and 75.0% positive; T and B classification were the same as the immunological phenotype.Age, T and B classifications and staging are the important factors, which affect the prognosis of NHL. Molecular biological methods can help T/B classification when we couldn't get it by phenotyping.