Based on analyzing the problems existed in hostital informatization, the paper proposes using shared-database to realize data sharing among various departments.It mainly introduces shared-database and its function module and customer display module. The introduction of shared-database is conducive to comprehensive management of hospital data, providing basis for future data mining.

Objective: To compare the effectiveness of seasonal autoregressive integrated moving average (SARIMA) model, additive Holt-Winters model, Holt-Winters' multiplicative model, GM (1, 1) model and linear combination prediction model for prediction of pulmonary tuberculosis incidence. Methods: Data pertaining to monthly incidence of pulmonary tuberculosis in Xinjiang Uyghur Autonomous Region from 2004 to 2008 were captured from Public Health Sciences Data Center. The SARIMA model, additive Holt-Winters model, Holt-Winters' multiplicative model, GM (1, 1) model and linear combination prediction model were created based on the incidence of pulmonary tuberculosis from January 2004 to June 2018, to predict the incidence of pulmonary tuberculosis from July to December 2018. The predictive value of each model was evaluated using absolute percentage error (APE), mean APE (MAPE) and root mean square error (RMSE), and the best model was selected based on minimum APE, MAPE and RMSE. Results: The SARIMA model showed the minimum APE (10.94%), 11.01% and 7.96% MAPE and 564 and 419 RMSE at the model-fitting and prediction phases; followed by the linear combination prediction model, with 13.71% APE, 12.01% and 7.94% MAPE and 600 and 447 RMSE at the model-fitting and prediction phases, while the additive Holt-Winters model, Holt-Winters' multiplicative model and GM (1, 1) model showed a low predictive value. Conclusion The SARIMA and linear combination prediction models are superior to additive Holt-Winters model, Holt-Winters' multiplicative model and GM (1, 1) model for prediction of pulmonary tuberculosis incidence.

[Objective]To evaluate the clinical and radiological findings in 56 patients with multilevel lumbar spinal stenosis in pre-and post-surgical treatment. [Method]From 1998 and 2002,56 patients suffering from multilevel lumbar spinal stenosis were included in a retrospective clinical study.Plain radiographs,MRI and/or CT myelograms were obtained preoperatively.The patients were assessed clinically with Oswestry disability index(ODI),visual analog scale(VAS) and the Beaujon functional score.Surgical procedure included wide posterior decompression and fusion using a transpedicular instrumentation system and bone grafts. [Result]After a mean follow-up of 2.2(2~2.6) years,the patients' clinical improvement by ODI,VAS was statistically significant and the Beaujon score was significantly improved(P

Traditional Chinese medicine placebo has been put more and more attention to. However, there is no ac-cepted quality evaluation method for TCM placebo. How to evaluate TCM placebo objectively and quantitatively is a common problem in the industry of Chinese medicine. New technologies such as the Intelligent Sensory Technique have been used to establish the placebo evaluation methods which are suitable for TCM characteristics. This article provided the basis for establishing scientific, rational and objective evaluation guiding principles for TCM.

Objective To develop a multivariate logistic regression model , and to predict the risk of ma-lignant partially cystic thyroid nodules .Methods 470 patients(662 nodules)treated with surgery and confirmed by pathological diagnosis were screened out .Their ultrasonographic morphology and vascularity of thyroid nod-ules, thyroid stimulating hormone(TSH)and clinical information were collected and analyzed retrospectively .The model was developed to calculate the individual risk and ROC curve was used to evaluate the predictive index . Results The regression model was:Z=-3.60+1.40X2+2.47X3+1.05X4+0.57X9+0.07X10+1.02X12 ( X2 represents eccentric acute-angle configuration , X3 represents microcalcification , X4 represents cystic-solid margin,X9 represents echogenecity of solid portion , X10 represents TSH,X12 represents gender );M=eZ/1+eZ (M represents probability of malignancy , e represents natural constant 2.72).When applied the model to the ver-ification group, the accuracy, sensitivity, specificity, misdiagnosis rate, missed diagnosis rate, negative likeli-hood ratio(LR-)and positive likelihood ratio(LR+)was 96.95%,100%, 96.68%, 3.32%, 0%, 0 and 30.12 respectively.The largest area under the receiver-operating characteristics curve (AUC)was 0.88,which proved the model has high diagnostic value .Conclusions The model has high accuracy to predict the risk of malignan-cy.M is closely related to malignant risk of partially cystic thyroid nodules .

Artificial intelligence has been gradually applied in medical image diagnosis, showing good efficiency and diagnostic accuracy. As a recent innovation in artificial intelligence, convolutional neural network (CNN) displayed the ability to interpret medical images with accuracy at or near that of skilled clinicians for some applications, indicating overwhelming clinical application prospects. The research progresses of CNN in musculoskeletal radiology were reviewed in this article.

Objective:To screen antigen of Helicobacter pylori outer membrane proteins by murine infection model.Methods:Parallel two-dimensional gel electrophoresis (2D) of outer membrane proteins extracted from Helicobacter pylori strain SS1 was performed.Western blot of a duplicate 2D gel hybridized with serum from H.pylori-infected murine was employed.Immunogenic H.pylori proteins identified in this way were digested in gel by trypsin and the mass of generated peptides were measured by matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS).The data obtained from peptide mass finger-printing (PMF) were searched using the internet available database.Results:32 proteins were identified and they are in good agreement with typical protective antigens which reacted with serum from H.pylori-infected patients.Conclusion:The results suggest that murine model of H.pylori may be valid to screen antigens for human vaccination and the proteins identified in this paper are valuable for the selection of H.pylori protective antigens as well.

Objective A multivariate logistic regression model was built to estimate the risk of malignant partially cystic thyroid nodules.Methods Data of ultrasonographic morphology,microcalcifications,margin,colloid crystals and echogenicity of 766 thyroid nodules (of 506 patients) were analyzed retrospectively.All patients underwent surgery and the diagnosis were confirmed by pathology.The model was built to calculate the individual risk and evaluate the predictive index.Results The regression model was Z =-2.30 + 1.42X2 + 2.39X3 + 1.17X4-1.35 X7 + 0.62X9 ; P =eZ/1 + ez (P represents probability of malignancy,e represents natural constant 2.72).The largest area under the receiver-operating characteristics curve (AUC) was 0.86.When apply the model to the verification group(266 nodules),the accuracy,sensitivity,specificity,misdiagnosis rate,missed diagnosis rate,negative likelihood ratio and positive likelihood ratio were 93.61％,83.33％,94.63％,5.37％,16.67％、0.18 and 15.52 respectively.Conclusions This model based on the ultrasonographic variables increases the diagnostic accuracy of malignancy in patients with partially cystic thyroid nodules.

BACKGROUND: Gong's nonverbal intelligence test(GNIT) is a nonverbal and cross-cultural test of intelligence designed primarily to suit the use in the minority groups and those with linguistic difficulties by Professor Gong Yao-xian. At present 5 unified norms of the minority groups as well as norms of Chinese Han children and adult aged below 55 years have been developed, but the norms for the elderly above 56 years of age are not available. Nonverbal intelligence test is especially suitable for the elderly and has therefore wide applications.OBJECTIVE: To establish regional norms of the GNIT for healthy elderly people above 56 to enable the completion of nonverbal intelligence test norms suitable for each age groups.DESIGN: A controlled study with stratified sampling of healthy elderly retirees over 56 years of age in the community.SETTING: Department of Physiology in Medical College of Henan University of Science and Technology; Center for Psychology, Xiangya Second Hospital,Central South University.PARTICIPANTS: Healthy elderly retirees above 56 years of age in Luoyang cityor the counties were selected on a voluntary basis with stratified sampling according to the proportion of each region. The selected subjects aged between 56 and 101 years, and 8 age groups were divided at the interval of 5 years(about 200 people in each age group). Totally 1 460 subjects were selected, including 679 male and 781 female subjects.METHODS: With the instruments and manual of GNIT, the subjects were tested for color identification, classification, blank-filling with numbers or graphs, characters and encoding tests. The results were original scores, scale scores and intelligence quotient.MAIN OUTCOME MEASURES: The norms of GNIT for the elderly above 56 years of age.RESULTS: The norms included three scores, namely the original scores, scale scores and standard deviation scores. To test of reliability and validity of the norms, retest was performed in 40 1 or 2 weeks after the initial test, resulting in the test-retest reliability coefficient ranging from 0.59 to 0. 89, with the total test-retest reliability coefficient of 0.83. The correlation coefficients the original scores between the subtests ranged from 0. 35 to 0. 63, and the correlation coefficients between the standard deviation scores of the verbal intelligence quotient(VIQ), performance intelligence quotient(PIQ) and full intelligence quotient(FIQ) of Wechster intelligence scale for children(WAIC-RC) were 0.43,0.51 and 0.54 respectiyely, based on a study of a sample of 50 elderly subjects.CONCLUSION: Primary regional norms of GNIT for elderly subjects above 56 years of age have been established to measure mainly the perception and reasoning factors loaded with also visual motor psychological factors and abstract summary factors, with satisfactory reliability and validity equivalent to similar tests.

Objective:To observe the correlation of platelet activation and the inflammatory factors in patients with coronary heart disease (CHD).Methods:A total of 150 patients with CHD were divided into three groups according to the guideline of ACC/AHA:Stable angina pectoris (SAP) group (n=47,aspirin 100 mg/d); Unstable angina pectoris(UAP) group (n=50,aspirin 100 mg/d+Dalteparin 5000 U Q12 h); Acute myocardial infarction (AMI) group (n=53,aspirin 100 mg/d+Dalteparin 5000 U Q12 h+Plavix 75 mg/d).53 healthy adults served as the Control group.The fast blood sugar,lipid,platelet count,platelet aggregation of plasma,fibrinogen,high sensitivity C reactive protein (hs-CRP) of plasma,and 11-dehydro thromboxane B_2 (11-DH-TXB_2) of urine were detected upon patients' admission.Results:The level of plasma hs-CRP in groups of SAP,UAP and AMI(4.25±2.95 mg/l,7.61±6.11 mg/l,15.46±8.22 mg/l)were significantly higher than that in Control group(2.07±1.28 mg/l,P<0.05).The max rate of platelet aggregation induced by ADP in groups of UAP and AMI were significantly higher than that in Control and SAP groups(74.35±8.91%,73.88±8.35% vs.66.22±7.51%,68.67±6.87%,P<0.05).There were significant differences in the max rate of platelet aggregation induced by arachidonic acid (AA) and 11-DH-TXB_2 of urine in different groups (P<0.05).The level of plasma hs-CRP in all patients with CHD were significantly positively correlated with the max rate of platelet aggregation induced by ADP (r=0.473,P=0.000),AA(r=0.434,P=0.000) and 11-DH-TXB_2 of urine (r=0.554,P=0.000).Conclusion:There were significant relationship between the levels of plasma hs-CRP,11-DH-TXB_2 and the max rate of platelet aggregation,which indicating inflammation might induce platelet aggregation in CHD patients.