ABSTRACT
Objective:To construct a social loss indicator system based on the perspective of epidemic prevention and control against background of emerging major infectious diseases at the national, hospital, and individual levels, and to provide decision-making basis for public general hospitals to formulate prevention and control strategies for emerging major infectious diseases.Methods:Literatures published before December 23, 2020 were retrieved from CNKI, Wanfang, VIP, Web of Science, Google Scholar with such keywords as " infectious diseases" " public health emergencies" " social losses" " COVID-19" " evaluation". Then a preliminary social loss indicator system of public general hospitals for emerging major infectious diseases was constructed from such dimensions as country, hospital, and individual, by implementing literature analysis and expert consultation. Based on such a preliminary system, three questionnaires were designed for the country, hospitals, and individuals and the corresponding data were collected from December 25, 2021 to May 20, 2022. In the end, a factor analysis was made on the questionnaire data to optimize the social loss indicator system and determine the weights of each indicator.Results:The social loss indicator system consists of 14 level-1 indicators and 60 level-2 indicators. Level-1 indicators at country aspect consisted of government governance capacity, direct economic losses, social security, online public opinion, indirect economic losses, and international cooperation; indicators at hospital aspect consisted of hospital manpower, material resources, and information resources, hospital services, and hospital operations; indicators at the individual aspect consisted of physical health, psychological and social health, and external environment. Level-1 indicators of the highest weight at all aspects were social security, manpower, material and information resources, as well as physiological health. And the level-2 indicators of the highest weight were high medical expenses, overwork for staff other than doctors and nurses and medical insurance.Conclusions:The social loss indicator system for emerging major infectious diseases constructed in this study proves scientific and reasonable, helpful for the formulation of prevention and control strategies of public general hospitals.
ABSTRACT
Early warning of infectious disease outbreak is key to controlling epidemics. Public general hospitals can effectively play their " outpost" role in the early warning and response of infectious diseases, which is directly related to the success of epidemic prevention and control. The authors summarized the current construction and main functions of infectious disease early warning systems at national level, regional level and public general hospitals, analyzed the problems existing in such construction, and put forward targeted suggestions. As found by the authors, some public general hospitals in China have initially built an early warning system for infectious diseases, achieving early recognition, early warning and reporting of infectious diseases to some extent. However, these systems were challenged by such shortcomings as insufficient intelligence, lack of data information exchange, immature practice and application, and lack of attention to the monitoring and early warning of endemic infectious diseases. It is suggested to improve the policy and system support in the future, to expand the types of infectious diseases for monitoring and early warning, to enlarge the sources of monitoring data and to strength hospital informationization construction.
ABSTRACT
Objective:To investigate the diagnostic value of immunoglobulin M (IgM) and immunoglobulin G(IgG) antibodies to 2019 Novel Coronavirus (2019-nCoV) in 2019-nCoV infection.Methods:This is a retrospective study. Serum samples were collected from 284 patients including outpatients and inpatients in the Renmin Hospital of Wuhan University from January 20 to February 17 in 2020. Among them 205 cases were 2019-nCoV infected patients, including 186 cases confirmed with nucleic acid test and 19 cases diagnosed by clinical symptoms and CT characteristics according to "the New Coronavirus Pneumonia Control Protocol (5th edition)" . A total of 79 subjects with other diseases but negative to 2019-nCoV infection were recruited as control group. Serum IgM and IgG antibodies to 2019-nCoV were measured with fully automated immunoassay technology for all subjects. Statistical significance between 2019-nCoV antibodies test and 2019-nCoV nucleic acid test was determined using the χ 2 tests. Results:The sensitivity of serum IgM and IgG antibodies to 2019-nCoV were 70.24%(144/205) and 96.10%(197/205) respectively and the specificity were 96.20%(76/79) and 92.41%(73/79) respectively. The positive and negative predictive values of 2019-nCoV antibodies were 95.63%(197/206) and 91.03% (71/78) respectively, and the positive and negative predictive values of 2019-nCoV nucleic acid test were 100%(186/186) and 80.61%(79/98) respectively. The total coincidence rate of diagnosing 2019-nCoV infection between antibody tests and nucleic acid test for 2019-nCoV were 88.03%(250/284).Conclusion:Joint detection of serum IgM and IgG antibodies to 2019-nCoV is an effective screening and diagnostic indicators for 2019-nCoV infection, and an effective complement to the false negative results to nucleic acid test.
ABSTRACT
Objective@#To investigate the diagnostic value of immunoglobulin M (IgM) and immunoglobulin G(IgG) antibodies to 2019 Novel Coronavirus (2019-nCoV) in 2019-nCoV infection.@*Method@#This is a retrospective study. Serum samples were collected from 284 patients including outpatients and inpatients in the Renmin Hospital of Wuhan University from January 20, 2020 to February 17, 2020. Among them 205 cases were 2019-nCoV infected patients, including 186 cases confirmed with nucleic acid test and 19 cases diagnosed by clinical symptoms and CT characteristics according to "the New Coronavirus Pneumonia Control Protocol (5th edition)" . A total of 79 subjects with other diseases but negative to 2019-nCoV infection were recruited as control group. Serum IgM and IgG antibodies to 2019-nCoV were measured with fully automated immunoassay technology for all subjects. Statistical significance between 2019-nCoV antibodies test and 2019-nCoV nucleic acid test was determined using the χ2 tests.@*Result@#The sensitivity of serum IgM and IgG antibodies to 2019-nCoV were 70.24%(144/205) and 96.10%(197/205) respectively and the specificity were 96.20%(76/79) and 92.41%(73/79) respectively. The positive and negative predictive values of 2019-nCoV antibodies were 95.63%(197/206) and 91.03% (71/78) respectively, and the positive and negative predictive values of 2019-nCoV nucleic acid test were 100%(186/186) and 80.61%(79/98) respectively. The total coincidence rate of diagnosing 2019-nCoV infection between antibody tests and nucleic acid test for 2019-nCoV were 88.03%(250/284).@*Conclusion@#Joint detection of serum IgM and IgG antibodies to 2019-nCoV is an effective screening and diagnostic indicators for 2019-nCoV infection, and an effective complement to the false negative results to nucleic acid test.
ABSTRACT
Objective:To establish a method for determining three residual organic solvents in nimodipine liposomes. Methods:The samples were injected into a DB-624 capillary column (30 m × 0. 32 nm,1. 8 μm) by a headspace sampler and analyzed with an FID detector, the carrier gas was nitrogen, the injector temperature was 250℃, and the detector temperature was 250℃. The column temperature was programmed raised. Results:Three residual solvents, namely ethanol, acetone and acetic ether were completely sepa-rated. There was a good linearity within the experimental concentration range. The average recovery was 98. 9%,98. 5% and 99. 4%(RSD=0. 32%,1. 12%,0. 76%,n=9), respectively. The detection limits was 0. 20, 0. 18 and 0. 22μg·ml-1, respectively . Con-clusion:The method is rapid, sensitive and accurate. It can be used in the determination of residual organic solvents in nimodipine li-posomes.
ABSTRACT
To investigate the expression of the cholinesterase-related cell division controller (CHED) gene in the patients with myelodysplastic syndrome (MDS), CHED gene expression was assayed by RT-PCR and its relative expression rate (RER) was determined by the semi-quantitative RT-PCR analysis in peripheral blood mononuclear cells from 21 patients with MDS, 12 normal individuals served as controls. Results showed that RER of CHED in the patients (2.69 +/- 0.76) was significantly higher than that in controls (1.12 +/- 0.51, P < 0.01), the RER out of 85.7% of the patients was higher than the mean value of the controls, in which three patients developed into acute leukemia; the RER out of 61.9% of the patients was higher than the upper limit of the mean value of the controls; three patients whose RER was lower than the mean value of the controls did not developed into leukemia. These findings suggested that the expression of CHED gene in patients with MDS was significantly higher than in controls.