Objective To explore the correlation between homocysteine(Hcy),lipids amd type 2 diabetes mellitus (T2DM). Methods The laboratory test results of 533 cases of patients with T2DM(T2DM group)and 362 cases of healthy individuals (healthy control group)were retrospectively analyzed.Results The serum levels of Hcy and rates of abnormal serum cholesterol (TC),triacylglycerol(TG),low density lipoprotein cholesterol(LDL-C),high density lipoprotein cholesterol(HDL-C)levels in the T2DM group were higher than those in the healthy control group,had statistically significant differences(P <0.05).Conclusion The high serum level of Hcy and abnormal lipid metabolism are correlated with T2DM,which might be risk factors of diabetes mel-litus and cardiovascular disease.

Objective To investigate the effect of functional training on knee pain,functional movement screen (FMS) score and balance in Chinese elite fencing athletes with patellar tendinopathy.Methods Twenty-four fencing athletes with a diagnosed patellar tendinopathy were randomized into a treatment group (TG) and a control group (CG),each of 12.Both groups were given routine physical therapy,while TG received motor function training in addition for eight weeks.Both groups completed the numerical rating scale (NRS),FMS and balance test before and after the intervention.Results After the intervention,the average PRS and FMS of TG were 2.08± 1.24 and 16.25±0.97 respectively,which significantly outperformed those of TG before the intervention and those of CG after the intervention (P＜0.05).Moreover,TG indicated superior results in parameters of static postural balance including center of pressure,total length of swinging pathway,maximal length of swinging pathway,and area of swinging pathway when compared to TG before the intervention and CG after the intervention(P＜0.05).Conclusion The motor functiontraining is effective in improving functional movement and balance in elite fencing athletes with patellar tendinopathy.

Objective The aim of this study is to dynamically investigate peripheral blood lymphocyte subsets in fever with thrombocytopenia syndrome (SFTS) patients at different stages,to evaluate the influence of these changes in the infection process.Methods Case-control study was used in the research.Twelveconfirmedthrombocytopeniasyndromevirus ( SFTSV ) infectedpatientswere enrolled.According to SFTS prevention guide issued by Chinese Ministry of Health,these patients were divided into two groups,recovery group and death group.For each group,dynamic profiles of the CD3 + T cells,CD4 + helper T cells,CD8 + cytotoxic T cell and CD3 - CD16 + CD56 + natural killer cells were tested by flow cytometry.Meanwhile, the relationshipsbetween these dynamicchanges and liver function,leukocytes,and platelets were analyzed respectively.Two independent-samples t test was used to compare the difference of the peripheral blood lymphocyte subsets count between the SFTS patients and healthy control.Small sample was analyzed by Mann-Whitney U test.Results In the early stage of infection,Th cells in peripheral blood of recovery group were significantly reduced and Th/Tc ratio was reversed.On day 5,7,9 of post infection,Th cell counts in peripheral blood were (740.9 ± 6.4),(836.2 ± 272.3 ) and ( 1083.6 ± 319.7 ) cells/μl respectively,which were significantly lower than health control ( 1351.4 ± 295.1 ) cells/μl ( t value was -2.883,-4.235,-2.145 respectively,all P ＜0.05).Tc cell counts were significantly more than healthy controls (690.1 ± 194.8) cells/μl through the course,which were ( 1006.3 ±356.5),(1166.4±242.4),(1102.4±245.9),(991.3±205.1) and (886.5±154.5) cells/μl on day 7,9,11,13,15 of the course (t value was 3.312,5.661,4.574,3.874,2.382,all P＜0.05).NK cells were decreased significantly from the ninth day of the course.Associated with abnormal changes of cell subsets,WBC and PLT decreased significantly,and serum ALT,AST,LDH and CK etc.were higher than normal level.With the disease recovery,the abnormality above was gradually improved.In contrast,death cases showed significant decrease in T and Th cells compared with health control (P ＜ 0.05).On day 7,8,9 of the course,the counts of total T cell were (735.9 ± 359.9),(724.9 ± 125.9),(845.3 ± 389.3) cells/μl and the counts of Th cell were ( 533.2 ± 246.9 ),( 532.1 ± 105.7 ),( 551.7 ± 86.9 ) cells/μl,significantly lower than healthy control ( 1727.9 ± 230.2 ) cells/μl and ( 1351.4 ± 295.1 ) cells/μl,with statistically differences (z value was - 2.828, - 2.342,- 2.342 and - 2.828, - 2.342, - 2.342,all P ＜ 0.05 ).On day 7,8,9 of the course,the numbers of NK cell in death group were ( 1141.8 ± 415.5),( 1047.2 ±68.4),( 1276.3 ±545.3) cells/μl,which were significantly more than health group (470.7 ± 242.2) cells/μl,with statistically differences (z value was - 2.180,- 2.335,- 2.258,all P ＜0.05).Conclusions SFTSV infection can induce cell immunity damage.The changes of lymphocyte subsets are associated with clinical classification and prognosis.Significant reduction of T cell and CD4 +cell in peripheral blood are accompanied with significant increase of NK cell,which may be a pivotal indicator of poor prognosis and play an important role in making appropriate strategy in clinical treatment.( Chin J Lab Med,2012,35:826-831 )

Objective:Constructing a physical fitness test index system for pregnant women to fully understand their physical fitness level and provide a reference for exercise prescription for this population.Methods:The system was established by way of literature review and Delphi survey, which was further validated on 60 pregnant women undergoing prenatal examination at Maternal and Child Health Hospital of Beijing Haidian District from November 7, 2019, to January 7, 2020. A questionnaire was used to evaluate the satisfaction of pregnant women with the process and results of the physical fitness test. The test and survey data adopted the descriptive analysis. Paired sample t test was used for statistical analysis. Results:The index system of maternal physical fitness test during pregnancy was established through three rounds of expert discussion, and consists of three first-level indexes, 11 second-level indexes, and 23 third-level indexes. All 60 subjects completed the test successfully and no complaints or discomfort were reported. There was no significant difference in the fetal heart rate before and after the test [(142.1±3.8) vs (142.1±4.5) bpm; t=－0.025, P=0.980]. The average test duration was (32.6±3.4) min, and the average load consumption was (300.1±41.2) kcal (1 kcal=4.184 kJ). The questionnaire showed that all subjects were satisfied with the test process and results. Conclusions:The index system of physical fitness test for pregnant women established in this study is scientific, practical, and safe, which is a potential evaluation tool of the physical fitness level for pregnant women.

Objective: To investigate effects of functional training on physical and cognitive function in 4-5 years old children, so as to provide a reference for the research on development of children s physical and cognitive functions. Methods: The 173 participants aged 4-5 were enrolled from 6 kindergartens in Xicheng District, Beijing and were divided into experimental (n=94) and control groups (n=79) by randomized digital tables. The experimental group were asked to receive a 18 week special designed functional movement training, which were not performed to the control group. The two groups were tested with physical and cognitive assessments before and after the intervention, and the results were compared pre/post in individual group and between groups with t tests. Results: Compared with control group, the score of standing long jump among children in the experimental group was improved by 5.72%, and that of feet jump was improved by 23.79%, that of 10-meter-shuttle run was improved by 13.95%, that of simple reaction was by 20.34%, and that of attention was by 18.96%, and all the improvement was of statistical significance(t=-2.75, 6.68, 10.79, 5.07, 4.32, P<0.01). Conclusion Both physical and cognitive functions were enhanced by the functional physical training in 4-5 year-old children.

Computer-aided diagnosis (CAD) systems play a very important role in modern medical diagnosis and treatment systems, but their performance is limited by training samples. However, the training samples are affected by factors such as imaging cost, labeling cost and involving patient privacy, resulting in insufficient diversity of training images and difficulty in data obtaining. Therefore, how to efficiently and cost-effectively augment existing medical image datasets has become a research hotspot. In this paper, the research progress on medical image dataset expansion methods is reviewed based on relevant literatures at home and abroad. First, the expansion methods based on geometric transformation and generative adversarial networks are compared and analyzed, and then improvement of the augmentation methods based on generative adversarial networks are emphasized. Finally, some urgent problems in the field of medical image dataset expansion are discussed and the future development trend is prospected.
Humans ; Diagnosis, Computer-Assisted ; Diagnostic Imaging ; Datasets as Topic

Medical image segmentation based on deep learning has become a powerful tool in the field of medical image processing. Due to the special nature of medical images, image segmentation algorithms based on deep learning face problems such as sample imbalance, edge blur, false positive, false negative, etc. In view of these problems, researchers mostly improve the network structure, but rarely improve from the unstructured aspect. The loss function is an important part of the segmentation method based on deep learning. The improvement of the loss function can improve the segmentation effect of the network from the root, and the loss function is independent of the network structure, which can be used in various network models and segmentation tasks in plug and play. Starting from the difficulties in medical image segmentation, this paper first introduces the loss function and improvement strategies to solve the problems of sample imbalance, edge blur, false positive and false negative. Then the difficulties encountered in the improvement of the current loss function are analyzed. Finally, the future research directions are prospected. This paper provides a reference for the reasonable selection, improvement or innovation of loss function, and guides the direction for the follow-up research of loss function.
Algorithms ; Image Processing, Computer-Assisted