Objective Investigate 6 to 9-year-old Schoolchildren,from 7 primary schools in Pudong Jinyang district,for their bronchial asthma outbreak situation.Methods Ouster Survey from each sampled school.Results altogether 4895 students were surveyed,110 diagnosed sick children were found and the disease rate was 2.25%.The asthma outbreak has been found correlated with gender,age of the first onset,respiratory tract infections,allergy and Genetic factors.Conclusion The cause of asthma outbreak might be related to respiratory tract infections and the change of living environment.

OBJECTIVE To explore bacteria distribution and changing status in infectious species from our hospital. METHODS The infectious species were collected from daily work.After bacteria culturing and genus identification by VITEK system,bacteriology data and corresponding clinical data were analyzed. RESULTS From Jan 2001 to Dec 2004,Staphylococcus aureus,S.epidermidis,Escherichia coli,Klebsiella pneumoniae,Pseudomonas aeruginosa and fungi were isolated most frequently in order. CONCLUSIONS Dynamic supervision of causative bacteria of nosocomial infection is strongly recommended.

OBJECTIVETo study the chemical constituents of Periploca forrestii.

METHODThe constituents were separate using such various column chromatographic techniques as silica gel, RP-18 silica gel, MCI and Sephadex LH-20. Their structures were identified by such methods as spectral analysis.

RESULTTen compounds were isolated and identified as periforgenin A-3-O-beta-digitoxopyranoside (1), beta-sitosterol (2), periforoside I (3), ursolic acid (4), periplogenin (5), periplocin (6), glycoside E (7), periplocoside M (8) , daucosterol (9), 2alpha, 3alpha, 23-trihydroxy-urs-12-en-28-oic acid (10).

CONCLUSIONCompound 1 was a new cardiac glycoside and compound 8 was reported for the first time from this plant.

Cardiotonic Agents ; chemistry ; isolation & purification ; Drugs, Chinese Herbal ; chemistry ; isolation & purification ; Glycosides ; chemistry ; isolation & purification ; Molecular Structure ; Periploca ; chemistry

Objective To assess the effect of community management of type 2 diabetes mellitus (T2DM)patients with signing on family doctor service in Shanghai.Methods Six community health service centers in two Shanghai districts were selected by cluster random sampling method from April 2014 to March 2017.T2DM patients,who visited the community health service centers more than three times in the last one year, were enrolled in the study.The questionnaire survey was conducted and lab tests were documented.Results A total of 5 078 T2DM patients were enrolled in this study,among whom 2 033 had signed contract service with family doctors(signing group)with a signing rate of 40.8%.Compared to non-signing group,the patients in the signing group were better followed the recommendations of blood glucose control[64.6%(1 320/2 053)vs.35.7%(1 061/2 978)], diet[64.6%(1 320/2 053)vs.35.7%(1 061/2 978)]and physical activity[63.4%(1 295/2 053)vs.34.8%(1 033/2 978)](χ2=356.507, 400.649 and 393.996, P<0.01).The medication compliance rate and regular exercise rate in signing group were higher than those in non-signing group[80.2%(1 615/2 053)vs.77.6%(2 272/2 978), χ2=3.894,P<0.05;81.8%(1 679/2 053)vs.74.5%(2 215/2 978),χ2=38.084, P<0.05]. The control rates of GLU,2 h PPG,HbA1c,and blood pressure in signing group were higher than those in non-signing group[40.0%(823/2 053)vs.35.9%(1 069/2 978),47.3%(971/2 053)vs.45.4%(1 352/2 978),35.2%(722/2 053)vs.32.5%(968/2 978), χ2=18.495,5.218, 5.006, all P<0.05].Conclusion The community management with signing on family doctor service enhances the improvement of health related behaviors in patients with type 2 diabetes; but currently the rate of contract signing is still low.

Objective To analyze the risk factors of microvascular complications in patients with type 2 diabetes mellitus (T2DM).Methods The demographic and clinical data of 5078 T2DM patients in six communities of Shanghai were collected during September 2014 to April 2015. The risk factors of microvascular complications in T 2DM were analyzed by classification tree model .Results Among 5078 T2DM patients there were 1007 cases of diabetic retinopathy (DR) (21.1%) and 1937 cases of diabetic nephropathy (DN) (38.4%).The classification tree models showed that the risk factors of DR were higher hemoglobin A1C ( HbA1c), fasting blood glucose ( FBG), postprandial blood glucose ( PBG) and triacylglycerol ( TG) levels;longer course of disease and younger age of onset .The model showed that the risk factors of DN were higher HbA1c, FBG, hypertension, PBG, body mass index ( BMI ) and triacylglycerol (TG) levels;and lower high-density lipoprotein (HDL) level.The HbA1c, course of disease and PBG were more closely related to DR and HbA 1c, hypertension and FBG were more closely related to DN.Conclusion HbA1c is the most important risk factor to microvascular complications; FBG and PBG are independent risk factors of microvascular complications;the course of disease and hypertension are risk factors of DR and DN , respectively .

Objective To investigate the outcomes of patients with diabetic retinopathy (DR) in Shanghai communities and the influencing factors.Methods From October 2015 to April 2016,533 type 2 diabetic patients with DR were selected by target sampling and cluster random sampling method from six community health service centers in Shanghai.Patients were followed up for 1 year.The demographic information,physical examination,laboratory tests and eye fundus exam results were documented and the DR was graded.The factors associated with the regression of DR were analyzed.Results Total 478 patients,including 280 females (58.6％) and 198 males (41.4％),were followed up for 1 year.The mean age of patients was (64±7) years and the mean disease duration was (8.85±4.20) years.The original DR lesion was remitted in 35 patients with an improvement rate of 7.3％;while the original DR lesion was aggravated in 29 patients with a progression rate of 6.1％.Ordinal logistic regression analysis revealed that age (OR=0.197,95％CI:0.056-0.699),body mass index (BMI) (OR=0.383,95％CI:0.171-0.856),glycosylated hemoglobin (HbAlc) (OR=0.287,95％CI:0.102-0.803),triglycerides (TG) (OR=0.541,95％CI:0.295-0.991),urinary albumin to creatinine ratio (ACR)(OR=0.218,95％CI:0.066-0.720) were associated with DR in type 2 diabetic patients.Conclusion The regression of DR is closely related to age,BMI,glucose,serum lipids and renal function,so it is suggested that lowering BMI,controlling glucose and serum lipids and maintaining normal kidney function are necessary for preventing the progression and promoting the improvement of DR in diabetic patients.

Currently, electronic health records (EHR) are largely created and maintained by physicians, and used just as an electronic record. In future, EHR will be a tool of information sharing and patients may participate in decision making for their own health with this tool. This article summarizes the concept of EHR, the problems it faces and how the mobile internet and cloud computing can promote the development of EHR.

Metabolomics, which mainly studies the metabolite components of organisms, tissues, cells and their dynamic changes, is an emerging omics technology following genomics and proteomics. Metabolites are the final products of cellular regulation, and the concentration of metabolites is considered to be the ultimate response of a biological system to genetic or environmental changes. Secondary metabolites with chemical diversity are widely present in living organisms, thus accurate quantification of secondary metabolites through appropriate analytical platforms is an important task of metabolomics. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is the most commonly used method for the detection of metabolites, providing a basis for the wide application of plant secondary metabolites. This review summarizes the advances of using LC-MS/MS techniques for the detection of phytohormone, folic acid, flavonoids and other secondary metabolites.
Chromatography, Liquid/methods* ; Tandem Mass Spectrometry/methods* ; Metabolomics/methods* ; Plants ; Proteomics