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Domestic and foreign literatures related to the persistence of SARS-CoV-2 and the re-positive cases infected with SARS-CoV-2 were reviewed, and the characteristics and infectivity of the re-positive cases were analyzed to provide scientific evidence for the improvement of case management and the development of measures to stop the spread of SARS-CoV-2. Existing studies have shown that re-positive rate of SARS-CoV-2 ranged from 2.4% to 19.8%, the median of interval between re-positive detection and discharge was 4-15 days. Following the second course of the disease, the anti-SARS-CoV-2 IgM, IgG and IgA positive rates of the cases were 11.11%-86.08%, 52.00%-100.00% and 61.54%-100.00% respectively, the total antibody and neutralizing antibody positive rates were 98.72% and 88.46%. The viral load of the re-positive cases was lower than that in the initial infection. At least 3 380 re-positive cases have been reported globally. SARS-CoV-2 strains were isolated from the samples of 3 re-positive cases (1 immunodeficiency case and 2 cases with abnormal pulmonary imaging). There were close contacts that were infected by an asymptomatic case taking immunosuppressive agents. In conclusion, the infectivity of re-positive cases infected with SARS-CoV-2 is generally very low. Rare re-positive cases infected with SARS-CoV-2 might cause further transmission. The management approach for the re-positive cases can be based on the assessment of the individual transmission risk according to the pathogen detection results.
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Humans , Antibodies, Neutralizing , Antibodies, Viral , COVID-19 , Immunoglobulin M , SARS-CoV-2ABSTRACT
Objective The application of nano-carbon tracer technique in radical antegrade modular pancreatosplenectomy (RAMPS) to treat malignant tumors of pancreatic body and tail.To investigate whether radical anterograde modulization of pancreatic body and tail combined with nano-carbon tracer technique is more beneficial to the prognosis of patients.Methods From January 2014 to September 2018,a retrospective analysis was performed in 48 patients in Linyi Central Hospital,all patients underwent RAMPS,all of whom were pathologically proved to be pancreatic carcinoma of the body and tail.Based on whether the nano-carbon lymph node tracer was performed during the operation,the patients were divided into two groups:nano-carbon group (nano-carbon lymph node tracing) and conventional operation group (no nano-carbon lymph node tracer).The differences between the two groups were analyzed,including operative time,intraoperative blood loss,postoperative complications (pancreatic fistula),postoperative hospitalization time,postoperative pathological lymph node status (number of dissection,number of positive lymph nodes,the positive rate of lymph node black staining in nano-carbon group) and survival time after operation.The measurement data were expressed as mean ± standard deviation (Mean ± SD),t-test were used for comparison among groups;Chi-square test was used for comparison of counting data,and Kaplan-Meier test was used for comparison of survival rate.Results There was no significant difference in the time of operation [(4.45 ± 0.59) h vs (4.41 ±0.65) h],the amount of blood lost during operation [(447.39 ± 109.51) ml vs (434.8 ± 76.38) ml] and the time of hospitalization after operation [(16.52 ± 4.12) d vs (16.56 ±2.92) d] between the two groups (P>0.05).There were 1 case of pancreatic fistula in the nano-carbon group and 2 cases of pancreatic fistula in the convertional operation group,but the difference was not statistically significant (P =0.55).The number of lymph nodes dissected and positive lymph nodes in nano-carbon group were significantly higher than those in conventional operation group [(18.26 ± 2.49) vs (12.16 ± 2.19);(5.52 ± 1.50) vs (3.32 ± 0.85).The difference was statistically significant (P < 0.05).The positive rate of lymph nodes in black stained lymph nodes (38.10%,96/252) was significantly higher than that in non-stained lymph nodes (18.45%,31/168),and the difference was statistically significant (P < 0.05).The average survival time in the nano-carbon group [(25.48 ± 11.74) months] was significantly longer than that in the conventional operation group [(15.80 ± 11.64) months],and the difference was statistically significant (P < 0.05).Conclusions It is safe,effective and feasible to treat malignant tumors of pancreatic body and tail by RAMPS combined with nano-carbon tracer technique.The positive rate of lymph node dissection and the detection rate of total lymph nodes are increased,and the prognosis of patients is improved,to improve the survival time of patients after operation is improved.
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Summarized in the paper are the experiences of Zhejiang University and its affiliated hospitals in developing medical consortiums based on two emphases of primary ends. The authors found that a sustainable ecosystem of medical services can be built upon quality resources of the university and its hospitals if the missions, components and roadmap are clarified.
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<p><b>OBJECTIVE</b>To investigate the epidemiology characteristics of norovirus among diarrheal outpatients in China.</p><p><b>METHODS</b>Diarrhea cases were monitored at emergency/outpatient departments at 173 hospitals in 27 provinces of China, with clinical and epidemiological data, and fecal specimens collected and sent to 58 network-laboratories to detect norovirus by RT-PCR method, and to analyze the positive rate of norovirus in various regions, population and time during 2009-2013.</p><p><b>RESULTS</b>11.6% of the 34 031 diarrheal cases under surveillance were found with norovirus. Age group of 6-23 month-old children and that of people over 45 years old were found with the highest positive percentage, 13.7% and 12.4% respectively. Positive percentage of norovirus peaks in autumn and winter in a year; it peaks in mid-temperate zones (10.7%) and warm-temperate zones (11.6%) in winter. It peaks in sub-tropical zones in autumn (14.3%). The most prevalent genogroups detected were norovirus G II, accounting for 89.9% of identified strains.</p><p><b>CONCLUSION</b>Norovirus affects all ages and was most prevalent in children and the elderly among diarrhea outpatients. Norovirus' positive percentage showed strong seasonal pattern, and peaks at different times of a year in different climate zones of China. Since no effective preventive measures existed, further study on norovirus epidemiology and intervention strategies should be conducted in future.</p>
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Adolescent , Adult , Aged , Child , Child, Preschool , Humans , Middle Aged , Caliciviridae Infections , Epidemiology , China , Epidemiology , Diarrhea , Epidemiology , Virology , Genotype , Hospitals , Laboratories , Norovirus , Outpatients , Prevalence , SeasonsABSTRACT
<p><b>OBJECTIVE</b>To understand the risk factors for cardiovascular disease (CVD) and their clustering among middle aged and old people in Jilin province and provide evidence for the development of effective intervention measures.</p><p><b>METHODS</b>A total of 13 914 people aged 35-79 years were selected from 32 counties (district) in 9 prefectures (municipality) of Jilin province through multi-stage stratified cluster sampling to conduct a face to face questionnaire survey and health examination. Complex weighted computation was conducted to analyze the survey results.</p><p><b>RESULTS</b>The prevalence of hypertension, diabetes, dyslipidemia, smoking and overweight were 41.3%, 11.5%, 42.8%, 31.5% and 53.5%, respectively. Only 16.2% of the subjects surveyed were free of the 5 risk factors. ≥ 1 risk factor and ≥ 3 risk factors were found to clustering in 83.8% and 29.9% of the middle aged and old people. Compared with females, the odds ratios of ≥ 1, ≥ 2 and ≥ 3 risk factors clustering in males were 3.18, 4.28 and 5.58 times higher, respectively. Compared with urban residents, the odds ratios of ≥ 1, ≥ 2 risk factors clustering in rural residents were 1.22 and 1.20 times higher. In addition, the odds ratios of ≥ 1, ≥ 2 and ≥ 3 risk factors clustering increased with age (all P < 0.001).</p><p><b>CONCLUSION</b>High prevalence of major cardiovascular disease risk factors and their clustering were found in middle aged and old people in Jilin province. More attention and intervention should be given to the old males in rural areas.</p>
Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Age Distribution , Cardiovascular Diseases , Epidemiology , China , Epidemiology , Cluster Analysis , Diabetes Mellitus , Epidemiology , Dyslipidemias , Epidemiology , Hypertension , Epidemiology , Odds Ratio , Overweight , Epidemiology , Prevalence , Risk Factors , Rural Population , Sex Distribution , Smoking , Epidemiology , Surveys and QuestionnairesABSTRACT
Objective To understand the risk factors for cardiovascular disease(CVD)and their clustering among middle aged and old people in Jilin province and provide evidence for the development of effective intervention measures. Methods A total of 13 914 people aged 35-79 years were selected from 32 counties (district) in 9 prefectures (municipality) of Jilin province through multi-stage stratified cluster sampling to conduct a face to face questionnaire survey and health examination. Complex weighted computation was conducted to analyze the survey results. Results The prevalence of hypertension,diabetes,dyslipidemia,smoking and overweight were 41.3%,11.5%, 42.8%,31.5%and 53.5%,respectively. Only 16.2%of the subjects surveyed were free of the 5 risk factors.≥1 risk factor and≥3 risk factors were found to clustering in 83.8%and 29.9%of the middle aged and old people. Compared with females,the odds ratios of ≥1,≥2 and ≥3 risk factors clustering in males were 3.18,4.28 and 5.58 times higher,respectively. Compared with urban residents,the odds ratios of≥1,≥2 risk factors clustering in rural residents were 1.22 and 1.20 times higher. In addition,the odds ratios of≥1,≥2 and≥3 risk factors clustering increased with age(all P<0.001). Conclusion High prevalence of major cardiovascular disease risk factors and their clustering were found in middle aged and old people in Jilin province. More attention and intervention should be given to the old males in rural areas.
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Objective To understand the risk factors for cardiovascular disease(CVD)and their clustering among middle aged and old people in Jilin province and provide evidence for the development of effective intervention measures. Methods A total of 13 914 people aged 35-79 years were selected from 32 counties (district) in 9 prefectures (municipality) of Jilin province through multi-stage stratified cluster sampling to conduct a face to face questionnaire survey and health examination. Complex weighted computation was conducted to analyze the survey results. Results The prevalence of hypertension,diabetes,dyslipidemia,smoking and overweight were 41.3%,11.5%, 42.8%,31.5%and 53.5%,respectively. Only 16.2%of the subjects surveyed were free of the 5 risk factors.≥1 risk factor and≥3 risk factors were found to clustering in 83.8%and 29.9%of the middle aged and old people. Compared with females,the odds ratios of ≥1,≥2 and ≥3 risk factors clustering in males were 3.18,4.28 and 5.58 times higher,respectively. Compared with urban residents,the odds ratios of≥1,≥2 risk factors clustering in rural residents were 1.22 and 1.20 times higher. In addition,the odds ratios of≥1,≥2 and≥3 risk factors clustering increased with age(all P<0.001). Conclusion High prevalence of major cardiovascular disease risk factors and their clustering were found in middle aged and old people in Jilin province. More attention and intervention should be given to the old males in rural areas.
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<p><b>OBJECTIVE</b>Providing evidences for further modification of China Infectious Diseases Automated-alert and Response System (CIDARS) via analyzing the outbreak detection performance of Moving Percentile Method (MPM) by optimizing thresholds in different provinces.</p><p><b>METHODS</b>We collected the amount of MPM signals, response results of signals in CIDARS, cases data in nationwide Notifiable Infectious Diseases Reporting Information System, and outbreaks data in Public Health Emergency Reporting System of 16 infectious diseases in 31 provinces in Chinese mainland from January 2011 to October 2013. The threshold with the optimal sensitivity, the shortest time to detect outbreak and the least number of signals was considered as the best threshold of each disease in Chinese mainland and in each province.</p><p><b>RESULTS</b>Among all the 16 diseases, the optimal thresholds of 10 diseases, including dysentery, dengue, hepatitis A, typhoid and paratyphoid, meningococcal meningitis, Japanese encephalitis, scarlet fever, leptospirosis, hepatitis, typhus in country level were the 90(th) percentile (P90), which was the same as provincial level for those diseases.For the other 6 diseases, including other infectious diarrhea, influenza, acute hemorrhagic conjunctivitis, mumps, rubella and epidemic hemorrhagic fever, the nationwide optimal thresholds were the 80th percentile (P80), which was different from that by provinces for each disease. For these 6 diseases, the number of signals generated by MPM with the optimal threshold for each province was decreased by 23.71% (45 557), 15.59% (6 124), 14.07% (1 870), 9.44% (13 881), 8.65% (1 294) and 6.03% (313) respectively, comparing to the national optimal threshold, while the sensitivity and time to detection of CIDARS were still the same.</p><p><b>CONCLUSION</b>Optimizing the threshold by different diseases and provinces for MPM in CIDARS could reduce the number of signals while maintaining the same sensitivity and time to detection.</p>
Subject(s)
Humans , China , Communicable Diseases , Disease Notification , Disease Outbreaks , Population Surveillance , MethodsABSTRACT
<p><b>OBJECTIVE</b>For providing evidences for further modification of China Infectious Diseases Automated-alert and Response System (CIDARS) by comparing the early-warning performance of the temporal model and temporal-spatial model in CIDARS.</p><p><b>METHODS</b>The application performance for outbreak detection of temporal model and temporal-spatial model simultaneously running among 208 pilot counties in 20 provinces from 2011 to 2013 was compared; the 16 infectious diseases were divided into two classes according to the disease incidence level; cases data in nationwide Notifiable Infectious Diseases Reporting Information System was combined with outbreaks reported to Public Health Emergency Reporting System, by adopting the index of the number of signals, sensitivity, false alarm rate and time for detection.</p><p><b>RESULTS</b>The overall sensitivity of temporal model and temporal-spatial model for 16 diseases was 96.23% (153/159) and 90.57% (144/159) respectively, without significant difference (Z = -1.604, P = 0.109), and the false alarm rate of temporal model (1.57%, 57 068/3 643 279) was significantly higher than that of temporal-spatial model (0.64%, 23 341/3 643 279) (Z = -3.408, P = 0.001), while the median time for detection of these two models was not significantly different, which was 3.0 days and 1.0 day respectively (Z = -1.334, P = 0.182).For 6 diseases of type I which represent the lower incidence, including epidemic hemorrhagic fever,Japanese encephalitis, dengue, meningococcal meningitis, typhus, leptospirosis, the sensitivity was 100% for both models (8/8, 8/8), and the false alarm rate of both temporal model and temporal-spatial model was 0.07% (954/1 367 437, 900/1 367 437), with the median time for detection being 2.5 days and 3.0 days respectively. The number of signals generated by temporal-spatial model was reduced by 2.29% compared with that of temporal model.For 10 diseases of type II which represent the higher incidence, including mumps, dysentery, scarlet fever, influenza, rubella, hepatitis E, acute hemorrhagic conjunctivitis, hepatitis A, typhoid and paratyphoid, and other infectious diarrhea, the sensitivity of temporal model was 96.03% (145/151), and the sensitivity of temporal-spatial model was 90.07% (136/151), the number of signals generated by temporal-spatial model was reduced by 59.36% compared with that of temporal model. Compared to temporal model, temporal-spatial model reduced both the number of signals and the false alarm rate of all the type II diseases;and the median of outbreak detection time of temporal model and temporal-spatial model was 3.0 days and 1.0 day, respectively.</p><p><b>CONCLUSION</b>Overall, the temporal-spatial model had better outbreak detection performance, but the performance of two different models varies for infectious diseases with different incidence levels, and the adjustment and optimization of the temporal model and temporal-spatial model should be conducted according to specific infectious disease in CIDARS.</p>
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Humans , China , Communicable Diseases , Disease Notification , Disease Outbreaks , Models, Theoretical , Population Surveillance , Methods , Spatio-Temporal AnalysisABSTRACT
<p><b>OBJECTIVE</b>To analyze the implement performance of China Infectious Diseases Automated-alert and Response System (CIDARS) of 31 provinces in mainland China, and to provide the evidences for further promoting the application and improvement of this system.</p><p><b>METHODS</b>The amount of signals, response situation and verification outcome of signals related to 32 infectious diseases of 31 provinces in mainland China in CIDARS were investigated from 2011 to 2013, the changes by year on the proportion of responded signals and timeliness of signal response were descriptively analyzed.</p><p><b>RESULTS</b>A total of 960 831 signals were generated nationwide on 32 kinds of infectious diseases in the system, with 98.87% signals (949 936) being responded, and the median (the 25(th) percentile to the 75(th) percentile (P25-P75) ) of time to response was 1.0 (0.4-3.3) h. Among all the signals, 242 355 signals were generated by the fixed-value detection method, the proportion of responded signals was 96.37% (62 349/64 703), 98.75% (68 413/69 282) and 99.37% (107 690/108 370), respectively, and the median (P25-P75) of time to response was 1.3 (0.3-9.7), 0.8(0.2-4.9) and 0.7 (0.2-4.2) h, respectively. After the preliminary data verification, field investigation and laboratory test by local public health staffs, 100 232 cases (41.36%) were finally confirmed.In addition, 718 476 signals were generated by the temporal aberration detection methods, and the average amount of signal per county per week throughout the country were 1.53, and 8 155 signals (1.14%) were verified as suspected outbreaks. During these 3 years, the proportion of signal response was 98.89% (231 149/233 746), 98.90% (254 182/257 015) and 99.31% (226 153/227 715), respectively, and the median (P25-P75) of time to response was 1.1 (0.5-3.3), 1.0 (0.5-2.9) and 1.0 (0.5-2.6) h, respectively.</p><p><b>CONCLUSION</b>From 2011 to 2013, the proportion of responded signals and response timeliness of CIDARS maintained a rather high level, and further presented an increasing trend year by year. But the proportion of signals related to suspected outbreaks should be improved.</p>
Subject(s)
Humans , China , Communicable Diseases , Disease Notification , Disease Outbreaks , Population Surveillance , MethodsABSTRACT
<p><b>OBJECTIVE</b>To screen differentially expressed genes in hyperplastic scar to explore the pathogenesis of hyperplastic scar and identify new therapeutic targets.</p><p><b>METHODS</b>Three pairs of surgical specimens of hyperplastic scar and adjacent normal skin tissues were collected to investigate the differentially expressed genes in hyperplastic scar using Agilent gene oligonucletide microarray and clustering analysis. DAVID Bioinformatics Resources 6.7 was used for GO analysis and pathway analysis.</p><p><b>RESULTS AND CONCLUSION</b>Distinctly different gene expression profiles were found between hyperplastic scar tissues and normal skin tissues. Compared with normal skin tissue, hyperplastic scar tissues showed 3142 up-regulated and 2984 down-regulated genes by two folds and 28 up-regulated and 44 down-regulated genes by 5 folds after repeating the experiment once; after repeating the experiment twice, 3004 genes were found up-regulated and 3038 down-regulated by 2 folds and 25 up-regulated and 38 down-regulated by 5 folds in hyperplastic scars. In all the 3 specimens, 1920 genes were up-regulated and 1912 down-regulated by 2 folds and 18 up-regulated and 29 down-regulated by 5 folds. The dysregulated genes in hyperplastic scar were involved in cell cycles, cell proliferation, immune response and cell adhesion (CDKN1C, CDKN2A, CTNNA3, COL6A3, and HOXB4) and in signaling pathway of focal adhesion, TGF-beta signaling pathway, p53 signaling pathway, cell cycle, and tumor-associated pathways (TGFβ1, CDKN1C, CDKN2A, CDC14A , ITGB6, and EGF).</p>