Objective To observe the clinical effect of treatment of type 2 diabetes with Glargine and Novolin 30R.Methods68 patients from June 2015 to October 2016,were randomly divided into insulin glargine group and Novolin 30R each group 34 cases, According to the medical staff were given psychological counseling for patients to explain the importance of disease related knowledge and related treatment, timely eliminate/alleviate the negative emotion of patients with, to ensure that patients with a good attitude to face treatment;Follow-up and It occurred in January when the two groups were recorded hypoglycemia ratio, triglyceride (TG), total cholesterol (TC), 2h postprandial blood glucose (2hPG), glycated hemoglobin, the use of statistical methods for data analysis.ResultsThe proportion of patients with insulin glargine group hypoglycemia after treatment 2.94%, better than Novolin group 17.65%, and the difference was significant (P<0.05).②After treatment glargine group TG, TC index were (1.70±0.21) mmol/L, (5.24±0.16) mmol/L, were better than Novolin group (3.04±0.35) mmol/L,(5.58±0.22) mmol/L, and the differences were statistically significant (P<0.05).After treatment glargine group glycated hemoglobin was (7.02±0.18)%, lower than Novolin group (7.78±0.30)%, and the differences were statistically significant (P<0.05).ConclusionGlargine and Novolin 30R can effectively control blood sugar, low insulin glargine hypoglycemia event rate, the better the treatment of type 2 diabetes, is worthy of further research and application.

Objective To retrospective analyze the sputum bacteria culture result,resistance and the relation with pulmonary function of chronic obstructive pulmonary disease(COPD)during acute exacerbation stage,and offer suggestion for anti-bacteria drug selection in the local region.Methods From February 2005 to February 2008,116 patients who has been given therapy due to COPD in acute exacerbation stage were randomly selected,among whom 76 cases showed positive result in sputum bacteria culture.And we analyzed retrospectively on them.Results In these 76 cases of sputum bacteria culture positive patients,51 cases were affected by gram-negative bacteria(67.11%),18 cases by gram-positive bacteria(23.68%),and 7 cases by fungi(9.21%).The most common four types bacteria affection were:11 strains of Pseudomonas aeruginosa(14.47%),9 strains of Escherichia coli(11.84%),7 strains of Acinetobacter baumannii(9.21%)and 7 strains of Staphylococcus epidermidis(9.21%).The fungi affection was Candida albicans.The drug sensitive test showed that the first five types of bacteria had high resistance to regular antibiotics such as piperacillin,ciprofloxacin,cefoperazone.In COPD patients,with the exacerbation of pulmonary function being damaged,Pseudomonas aeruginosa,Enterrobacter and Acinetobacter had high detection rate.Conclusion For the patients in acute exacerbation stage of COPD,respiratory tract infection was mainly caused by gram-negative bacteria,the result of sputum bacteria culture had close relationship with the pulmonary function damage of patient.

At present, the monitoring methods fwor intracranial pressure adopted in clinical practice are almost all invasive. The invasive monitoring methods for intracranial pressure were accurate, but they were harmful to the patient's body. Therefore, non-invasive methods for intracranial pressure monitoring must be developed. Since 1980, many non-invasive methods have been sprung out in succession, but they can not be used clinically. In this paper, research contents and progress of present non-invasive intracranial pressure monitoring are summarized. Advantages and disadvantages of various ways are analyzed. And finally, perspectives of development for intracranial pressure monitoring are presented.
Humans ; Intracranial Pressure ; Monitoring, Physiologic ; methods

Objective To establish an artificial intelligence(AI)diagnostic model for the histopathologic diagnosis of extramammary Paget's disease(EMPD)and to evaluate its efficiency for the diagnosis and differential diagnosis of EMPD.Methods All non-tumor skin disease patients who underwent skin tissue biopsy in Department of Dermatology of First Affiliated Hospital of Army Medical University from September 2003 to February 2023 were recruited,and their pathological data were collected,including EMPD,Bowen's disease(BD),squamous cell carcinoma(SCC),and epidermal hyperplasia and hypertrophy.With EMPD as the main research subject,the histopathological images of BD,SCC,and non-tumor skin diseases were included in the study.The histopathological data of 4 types of diseases was classified and diagnosed by ResNet101 and DenseNet121 deep learning neural networks,and the performance of these models was evaluated.Results The AUC values of the ResNet101 diagnostic model for the diagnosis of EMPD,BD,SCC and non-tumor skin diseases on the images at x20 magnification were 0.97,0.98,1.00 and 0.96,respectively,with an accuracy of 0.925±0.011,while the AUC values on the images at x40 magnification were 1.00,0.99,1.00 and 0.97,respectively,with an accuracy of 0.943±0.017.The AUC values of the DenseNet121 diagnostic model for the diagnosis of 4 diseases on the images at x20 magnification were 0.98,0.95,0.99 and 1.00,respectively,with an accuracy of 0.912±0.034,while the AUC values on the images at x40 magnification were 0.99,0.96,1.00 and 1.00,respectively,with an accuracy of 0.971±0.012.Our results indicated that the histopathologic diagnostic model could effectively differentiate EMPD from BD,SCC and non-tumor skin diseases at low power magnification.The FLPOs of ResNet101 was 786.6 M,and the parameter was 4.5 M;The FLPOs of DensNet121 was 289.7 M,and the parameter was 0.8M.Conclusion Our AI diagnostic model is of good effectiveness in the diagnosis and differential diagnosis of EMPD.DenseNet121 is recommended as the dermatopathological diagnostic model of this study.