Objective To analyze the clinical features of the hospitalized children with laboratory-confirmed influenza in Suzhou. Methods The demographic information, laboratory test results, clinical features, treatments and outcomes of the hospitalized children with laboratoryconfirmed influenza were collected retrospectively. The data were analyzed using chi square test,Cochran-Armitage trend test. Results Four hundred and eighty hospitalized children were diagnosed with laboratory-confirmed influenza during the period of 2005 to 2009. Among these cases, 414 were subtype A and 66 were subtype B. The positive rate was 2.66%. Four hundred and nineteen cases (87.29 %) were ≤ 5 years old. Most of the cases developed during winter (from December to April the next year) and summer (from July to August). The age and sex distribution didn't vary from year to year (x2=9. 7768,x2 = 8. 7573; both P＞0.05). The mean disease course was (16.22± 9.41)days, and the mean hospitalization duration was (7.89 ±2.97) days. The percentages of patients with symptoms of fever, dyspnea and diarrhea or requiring oxygen treatment decreased with age (Z =4. 9430, Z=2. 1021, Z=3. 2073 and Z=2. 3277, respectively; all P＜0.05). The percentages of cases with concomitant pneumonia and upper respiratory infection also decreased with age (Z =-3. 8762 and Z=-3. 5095, respectively; both P＜0.01). Fifteen point five percent (60/387 cases)of the cases were co-infected with pneumococcus and 15. 0% (72/480 cases) were co-infected with respiratory syncytial virus (RSV). The level of C-reactive protein was significantly higher in cases with bacterial co-infection than those with viral co-infection (Z= -3.1290, P ＜ 0. 01 ).Conclusions Hospitalized children with influenza are more common in winter and summer in Shuzhou.Many patients are co-infected with pneumococcus or RSV. The symptoms are more severe in younger children.

The paper introduced the exploration made by Shanghai SongJiang District in its compensation mechanism for public hospitals and community health centers.This attempt aimed at increasing government financial support,identifying public health needs in the development of public medical institutions,developing the compensatory measures to fit the task completed,and the service provided and individual items.It took such factors as the present personnel,workload,population and area taken into account.All these are designed to make the mechanism more appropriate and fair.

ObjectiveTo investigate the prevalence and influencing factors of diabetes mellitus among community population in Songjiang District of Shanghai， and to provide scientific basis for prevention and treatment of diabetes mellitus. MethodsBased on the baseline data of the Shanghai Suburban Adult Cohort （2016‒2017） and local medication database， the prevalence of diabetes in the cohort was described， and the influencing factors for the prevalence of diabetes in different genders were analyzed. ResultsAmong 35 928 participants， males accounted for 40.57%， and the median age was 58 years old. There were 5 342 diabetic patients with a crude prevalence rate of 14.87% and the standardized prevalence rate of diabetes mellitus was 7.57%. The prevalence rate of diabetes in males （15.81%） was significantly higher than that in females （14.23%， P<0.001）. Multivariate logistic regression analysis showed that the following factors were associated with high risk of diabetes mellitus in males： 40‒59 age group （OR=7.111，95%CI：4.900‒10.320）， 60‒74 age group （OR=8.994，95%CI：6.154‒13.144）， family history of diabetes （OR=3.369，95%CI：2.963‒3.83）， overweight （OR=1.272，95%CI：1.123‒1.439）， obesity （OR=1.912，95%CI：1.623‒2.252）， hypertension （OR=1.685，95%CI：1.512‒1.877）， and dyslipidemia （OR=1.396，95%CI：1.263‒1.542）. In females， the high risk of diabetes was associated with： 40‒59 age group （OR=2.718，95%CI：1.838‒4.02）， 60‒74 age group （OR=3.517，95%CI：2.34‒5.286）， family history of diabetes （OR=3.071，95%CI：2.761‒3.416）， overweight （OR=1.254，95%CI：1.125‒1.398）， obesity （OR=2.018，95%CI：1.764‒2.308）， central obesity （OR=1.515，95%CI：1.357‒1.692）， hypertension （OR=2.128，95%CI：1.929‒2.347）， dyslipidemia （OR=1.506，95%CI：1.379‒1.644）， exercise （OR=1.241，95%CI：1.137‒1.355）， and menopause （OR=1.967，95%CI：1.693‒2.286）. ConclusionThe prevalence rate of diabetes is high in Shanghai， and the related factors are different in different gender groups.

ObjectiveTo evaluate the efficacy of three screening questionnaires for COPD in the community residents of Songjiang District， Shanghai， and to provide a basis for selecting COPD screening questionnaire and process that are more suitable. MethodsCommunity residents aged 40 years or over were randomly selected from the Shanghai Suburban Adult Cohort and Biobank for the study with screening questionnaires and spirometry. Questionnaires included the COPD screening questionnaire （COPD-SQ）， the COPD population screener （COPD-PS） and the revised COPD diagnostic questionnaire （revised-CDQ）. Evaluation of the efficacy of these questionnaires was based on the area under the receiver operating characteristic curve （AUC） of the subjects. DeLong test was used to compare the accuracy of different questionnaires； Z test was used to compare the accuracy of different cut-off values for the same questionnaire. ResultsAmong 3 184 community residents， a total of 259 （8.1%） COPD patients were screened by spirometry. AUC values of these 3 screening questionnaires were >0.7 indicating that they were reliable COPD screening tools. The sensitivity and specificity of the questionnaires at the recommended cut-off values were COPD-SQ （63.7% and 72.2%）， COPD-PS （12.0% and 96.1%）， and revised CDQ （78.8% and 52.7%）， with the COPD-SQ having the highest screening accuracy （AUC=0.754）. The optimal and recommended cut-off values for the three questionnaires differed in this population， but the difference in accuracy was statistically significant only for COPD-PS. The optimal cut-off values for the three questionnaires differed between male and female， and the sensitivity and accuracy of COPD-SQ and COPD-PS improved when lower cut-off values were used for women. The AUC was greater when two questionnaires were utilized simultaneously for screening， but the differences were not statistically significant. ConclusionThe COPD-SQ is recommended for primary COPD screening； a lower cut-off value for women should be considered. The COPD screening questionnaire needs to be further improved for the early diagnosis and treatment of COPD patients.