Objective To discuss the diagnosis,treatment and following-up of cervical intraepithelial neoplasia (CIN) during pregnancy.Methods Eighteen pregnant women with CIN,presented to the hospital from Jan.2004 to May.2008,were retrospectively reviewed.Pap smear,HPV,copolscopy and cervical biopsy were performed for diagnosis and all were followed up by Pap smear and copolscopy during pregnancy every 12 weeks,while 15 were followed up until 6-8 weeks postpartum.Results The incidence of CIN during pregnancy was 0.16%.All of the 18 women had abnormal Pap smear,followed by colopscopy and biopsy.Conservative management during the pregnancies every 3 months showed no progress in CIN.Among the 18 cases,17 delivered at term and only 1 preterm (36+4 weeks).Two out of the 18 women had normal delivery (11.1%),2 by forceps(11.1 %) and 14 by cesarean sections (77.8%).No neonatal apnea or neonatal respiratory distress syndrome had been observed.Pathological diagnosis was confirmed in all cases prenatally,including 4 CIN1,4 CIN2 and 10 CIN3.Four out of the 10 CIN3 remained after delivery,while 1 changed to CIN2.These 5 cases underwent leep electrical excision procedure and Pap smear results turned to normal at 6 to 11 months after delivery.One HSIL case were lost.The rest 4 CIN3 and all of the 8 CIN1 and CIN2 cases turned to normal or lesser degree.Fourteen of the 18 women received HPV test during pregnancy,and 12 (85.7%) were positive,among which 7 women were followed up at postpartum and 6 of them were HPV positive.Conclusions The three steps method for diagnosis of CIN during pregnancy is safe and effective.Conservative management of CIN during pregnancy is recommended.

Objective To probe into the content of DNA Topo Ⅱ in osteosarcoma after chemotherapy.Methods 30 patients with osteosarcoma received two courses of chemotherapy treatment before the surgical resection of the tumor tissue.Then immunohistochemistry was used to detect the content of Topo Ⅱ in tissues and detected its relationship in pathology.Results There were 8 out of 30 cases in which Topo Ⅱ was presented positive in osteosarcoma (26.7 ％).The protein content of Topo Ⅱ was unrelated to the patient' s age,gender,degree of tumor malignancy,tumor location and translocation or Enneking staging (P ＞ 0.05),but related to patients survival rate (P ＜ 0.05).Conclusion Patients with lower expression of Topo Ⅱ are more likely to have poor prognosis.

Objective To investigate the expression of phosphorylated protein kinase B1 (pAkt1) and human telomerase reverse transcriptase (hTERT) in ovarian epithelial carcinoma (EOC) and its relationship with prognosis, and to analyze the correlation between pAkt1 and hTERT expression. Methods 92 patients with EOC in Tangshan Gongren Hospital from January 2012 to December 2016 were selected. The expressions of hTERT and pAkt1 proteins were detected by immunohistochemistry. The relationship between the expressions of pAkt1 and hTERT proteins and their relationship with clinical prognosis were analyzed. Results Of the 92 patients with EOC, 68 cases (73.9 %) had positive expression of pAkt and 52 cases (56.5 %) had positive expression of hTERT. There was no significant correlation between expressions of pAkt1 and hTERT proteins in EOC (r= 0.284, P= 0.633). The expressions of pAkt1 and hTERT proteins were not related with age, tumor pathology type and the International Federation of Gynecology and Obstetrics (FIGO) staging (all P> 0.05), but had significant association with tumor pathology differentiation (χ2= 2.694, P= 0.005; χ2=2.284, P=0.018). The disease-free survival of patients with both pAkt1 and hTERT positive was shorter than that of the other groups (P= 0.013). Conclusion The prognosis of EOC patients with high expression of pAkt1 and hTERT proteins is poor.

Objective: To investigate the epidemiologic characteristics of Norovirus among adult patients suffering from infectious diarrhea in Shanghai, so as to provide evidence for developing related strategies on prevention and control of the disease. Methods: Diarrheal outpatients were monitored at the 'Intestinal clinic’ from 22 hospitals involved in the sentinel surveillance program in Shanghai. Information on demographic and epidemiologic features of the patients was collected while data and clinical, fecal specimens were collected and sent to the district CDC for Norovirus detection. Positive rates of Norovirus were also compared in various populations and seasons during 2013-2018. Multivariate logistic regression model was adopted to fit into the comparisons between non-Norovirus and Norovirus groups. Results: 19.28% of the 12 083 diarrheal cases were found to have carried the Norovirus, with GⅡgroup the most commonly identified genotype. Rates of detection was seen higher in males (20.78%) than in females (17.73%). 30-44 year-old were found having the highest positive rate (21.51%). The positive rates were found the highest (23.60%) in the year of 2015. All the above shown differences were statistically significant (P<0.05). Diarrheal patients affected with Norovirus would present watery stool (75.94%) and vomiting (35.84%). Data from the multivariate logistic analysis showed that factors as: being males, 30-44 years old, officials/clerks, in winter season and with histories of travelling etc., were related to higher risks on Norovirus infection. Conclusions Infectious diarrhea caused by Norovirus occurred all year round, with seasonal peaks seen in winter and spring, in Shanghai. Specific prevention and control measures should be taken on Norovirus- caused infectious diarrhea, according to the difference on age, gender and season.

Objective To introduce the establishment of Shanghai Diarrhea Comprehensive Surveillance System ,and to analyze the epidemiological and etiological characteristics of infectious diarrhea outpatients in Shanghai based on data of Shanghai Diarrhea Comprehensive Surveillance System .Methods Diarrhea patients were surveyed according to a unified designed questionnaire ,who visited one of 22 adult sentinel hospitals and 4 children sentinel hospitals of Shanghai Diarrhea Comprehensive Surveillance during September 2013 to August 2016 .Stool specimens were collected according to different sampling intervals and detected for 12 bacteria and 5 viruses .Characteristics of diarrhea patients were compared and analyzed .Chi-square test was used for statistical analysis .Results Of 4497 infectious diarrhea patients ,the detection rate of viral infection was 29 .77％ ,of which norovirus infection (16 .33％ ) , rotavirus infection (7 .90％ ) and sapovirus infection (1 .90％ ) were dominated . The detection rate of bacterial infection was 15 .38％ ,diarrheagenic E .coli (DEC) infection (5 .25％ ) ,V . parahaemolyticus infection (4 .27％ ) and Salmonella spp .infection (3 .13％ ) .Mixed infection accounted for 11 .07％ .The detection rate ,the infection types and the predominant pathogens in different age groups were statistically different (χ= 18 .11 ,61 .86 and 449 .52 ,respectively ,all P< 0 .01) .DEC ranked first in 3 - 14 years age group , and norovirus ranked first in all other age groups .The pathogen spectrum of infectious diarrhea patients≥ 15 years old showed obvious seasonal changes ,with mainly bacterial infection in summer (peaked in August ,accounting for 81 .56％ ) and mainly viral infection in winter (peaked in January ,accounting for 95 .27％ ) .Norovirus ranked first through the year ,except January ,June ,July and August .Among patients ≥ 15 years old , abdominal pain , fever and loose stools were main symptoms in bacterial infections .Vomiting and watery stool were main symptoms in viral infections . Loose stools appeared frequently in patients ≤ 14 years old .Conclusions Diarrhea Comprehensive Surveillance System based on scientific design and rational distribution is beneficial for understanding the epidemic trends and pathogen characteristics of diarrhea .Viral infections are predominant in infectious diarrhea patients in Shanghai . Norovirus and rotavirus are the most common diarrheal pathogens .The pathogen spectrum of infectious diarrhea patients shows obvious seasonal changes .DEC is common in diarrhea patients ≤ 14 years old . The clinical symptoms of infectious diarrhea caused by different pathogens are different . Targeted preventive measures should be taken for infectious diarrhea of different ages ,different pathogens ,and in different seasons .

Objective:To analyze the features of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) co-infected with other common respiratory pathogens among coronavirus disease 2019 (COVID-19) patients in Shanghai City, and to provide a reference for scientific prevention and control of COVID-19 and other respiratory infectious diseases.Methods:Descriptive epidemiological approaches were used to analyze the data of COVID-19 reported cases in Shanghai City from January 2020 to February 2021 in the information system of Chinese Disease Prevention and Control. Clinical data of the participants were collected, and their SARS-CoV-2 nucleic acid-positive respiratory specimens were collected at the time of illness onset or admission. Multiplex reverse transcription-polymerase chain reaction (RT-PCR) was performed to detect the 22 respiratory pathogens. Independent-samples t test was used for statistical analysis. Results:Of the 272 patients with COVID-19, 15(5.5%) had co-infection of SARS-CoV-2 with other respiratory pathogens, all of which were double infection. There were three cases infected with enterovirus/rhinovirus, two of each with adenovirus, human metapneumovirus and coronavirus NL63/HKU1, and one of each with coronavirus 229E, influenza A virus H1N1, parainfluenza virus 1 and respiratory syncytial virus B. Two cases infected with Mycoplasma pneumoniae. Among the 272 COVID-19 patients, 212(77.9%) had fever, 117(43.0%) had cough, 46(16.9%) had fatigue, and 35(12.9%) had sore throat. The white blood cell count of co-infection cases was higher than that of non-co-infection cases ((6.8±1.7)×10 9/L vs (5.3±1.6)×10 9/L), and the difference was statistically significant ( t=3.09, P=0.008). Conclusions:There is a certain proportion of co-infection of SARS-CoV-2 with other respiratory pathogens among the COVID-19 cases in Shanghai City, mainly viral pathogens, especially enterovirus/rhinovirus. A rational combination of drugs was recommended to improve the cure rate. Surveillance of acute respiratory infection should be further strengthened as well.

Objective:To analyze the changes in the epidemiological characteristics of scarlet fever cases in Shanghai City before and after the outbreak of coronavirus disease 2019 (COVID-19), and to provide a reference for scientific prevention and control of scarlet fever.Methods:The information of scarlet fever reported cases in Shanghai City from January 2016 to June 2021 in the information system of Chinese Disease Prevention and Control was collected, and the differences in time trend, regional distribution, age and gender distribution of cases before and after the outbreak of COVID-19 in Shanghai City were analyzed by descriptive epidemiologic method.Results:The incidence rate of scarlet fever reported in 2016-2019 was (0.22-4.02)/100 000 in each month, with a median of 1.13/100 000. During January 2020 (the outbreak began in Shanghai City) and June 2021, the incidence rate of scarlet fever was (0.01-1.64)/100 000, with a median of 0.14/100 000, which was 12.39% of that before the outbreak of COVID-19. During February and June 2020, the monthly reported incidence rate of scarlet fever was (0.18-0.58)/100 000, showing an upward trend compared with the same period in 2020 ((0.01-0.05)/100 000). From 2016 to 2019, the annual reported incidence rate of each district was (0.55-65.48)/100 000, with a median of 9.57/100 000; while in 2020, the annual reported incidence rate of each district was (0.29-9.85)/100 000, with a median of 2.18/100 000, which was 22.78% of that before the outbreak of COVID-19. The incidence of scarlet fever dropped significantly. The incidence rate in Minhang District was still the highest. The cases were mainly four to eight years old, and there was no substantial difference of the proportions before and after COVID-19 pandemic, with the incidence rate of six years old group the highest. The proportion of male was more than female in reported case, while the male ratio in reported cases was not significantly different before and after COVID-19 pandemic.Conclusions:The incidence rate of scarlet fever in Shanghai City has dropped sharply after COVID-19 pandemic. The main epidemiological characteristics of the regional and population distribution of cases remain unchanged.

Objective: To understand the epidemiological and pathogenic characteristics of hospitalized severe acute respiratory infections (SARI) in Shanghai, China. Methods: From 2015 to 2017, one Tertiary hospital and one Secondary hospital were chosen as the surveillance sites. Two respiratory tract specimens per case were collected from SARI cases aged 15 years and older. One specimen was tested for 22 respiratory pathogens by RT-PCR, and the other specimen was cultured for 6 respiratory bacteria. Results: A total of 287 SARI cases were enrolled for sampling and lab testing. 70.73% of the cases were aged 60 years and older, with 41.46% (119/287) were positive for at least one pathogen. Influenza virus was the predominant pathogen, accounting for 17.77% (51/287) of all SARI cases. Human rhinovirus/Enterovirus and Coronavirus were both accounting for 7.32% (21/287), followed by Mycoplasma pneumoniae (5.57%, 16/287). The positive rates of parainfluenza virus, bocavirus, adenovirus, respiratory syncytial virus and human metapneumo virus were all less than 5%. Bacterial strains were identified in seven SARI cases, including Klebsiella pneumoniae (3 strains), Staphylococcus aureus (2 strains), Streptococcus pneumoniae (1 strain) and Pseudomonas aeruginosa (1 strain). Two or Three pathogens were co-detected from 40 cases, accounting for 33.61% of 119 positive cases. The most common co-detected pathogens were influenza virus and Mycoplasma pneumoniae (10 cases). Influenza cases peaked in winter-spring and summer. Mycoplasma pneumoniae peaked in winter-spring season and overlapped with influenza. The positive rates of pathogens were not significantly different between different age groups. Conclusions Various respiratory pathogens can be detected from SARI cases aged 15 years and older. Influenza virus was the predominant pathogen and the co-detection of influenza virus with Mycoplasma pneumoniae the most common one.

Objective: To analyze the etiologic and epidemiological characteristics of adult acute respiratory infections in Shanghai during 2015-2017. Methods: Data was collected from outpatients with acute respiratory infections who visited the Fever Clinics in three hospitals of different levels in three administrative regions of Shanghai, from 2015 to 2017. Basic information and nasopharyngeal swabs were collected from cases in line with the inclusion criteria. Multiplex RT-PCR and bacterial cultures were performed to detect the respiratory pathogens. Results: A total of 806 individuals were enrolled from 2015 to 2017. Respiratory pathogens were identified in 73.45% (592/806) of the cases, with the virus detection rate as 66.75% (538/806). It was found that the major respiratory pathogens for virus detection were influenza A in 326 (40.45%), influenza B in 116 (14.39%), rhinovirus/enterovirus in 39 (4.84%) of the cases. The overall detection rate of bacteria was 16.13% (130/806), including Klebsiella pneumoniae in 90 (11.17%) cases, Staphylococcus Aureus in 46 (5.71%) cases. Other kind of bacteria were not detected in our study. The detection rates on Mycoplasma pneumoniae was 5.33% (43/806) and on Chlamydia pneumonia was 0.37% (3/806). Co-infection with multiple pathogens was detected in 18.61% (150/806) of the cases, including 135 with double infection (accounting for 90.00%), 14 with triple infection and 1 with quadruple infection (accounted for 9.33% and 0.67%, respectively). Among the 150 cases with co-infections, the main identified pathogens were influenza A, Klebsiella pneumoniae, Staphylococcus aureus, and Mycoplasma pneumoniae. Pathogens of acute respiratory infections that identified among the outpatients from the Fever Clinics at different time, region or population, the characteristics were different (P<0.001). Conclusions In 2015-2017, outpatients with acute respiratory infections in Shanghai were mainly caused by influenza virus or other viruses, however dynamically with its composition, time, region and characteristics of the population. It is necessary to strengthen and combine related medical and preventive services and to develop the appropriate strategies regarding clinical diagnosis and treatment.

In order to meet the needs of prevention and control of intestinal infectious diseases， a comprehensive surveillance for diarrheal diseases has been innovated and explored in Shanghai since 2012. The surveillance has extensive distribution of sentinel hospitals， systematic sampling， multi-pathogen collection， and hospital information system （HIS） as the basis， which has achieved “One system for surveillance of multiple diseases and one sample for detection of multiple pathogens". Continual active surveillance for the whole population has been conducted， covering demography， clinical information， epidemiology， pathogen detection， and drug sensitivity test for diarrhea cases. The surveillance has obtained preliminary achievements as follows. First， diarrheal diseases and their periodic changes have been characterized， in which the most prevalent pathogen of diarrhea is determined to be norovirus in Shanghai. Second， some rare pathogens and serotypes have been identified that may provide clues to the sources of outbreaks. Third， it facilitates the information sharing between public health institutions and clinical institutions， and provides scientific evidence for clinical diagnosis and treatment. In the future， Shanghai diarrhea comprehensive surveillance will be improved for expanding range and depth of surveillance， artificial intelligence assisted diagnosis and treatment， early warning of outbreaks， prediction of epidemic trends， and application of new detection technologies.