ObjectiveTo investigate the current status of latent tuberculosis infection (LTBI) among the elderly population in rural areas of Changxing County, Zhejiang Province, and to provide an evidence for the development of LTBI prevention and control measures. MethodsBetween January and May 2024, elderly individuals participating in urban and rural residents’ health checkups were screened for Mycobacterium tuberculosis infection using a domestically produced interferon-γ release assay (IGRA) kit. Individuals tested positive by IGRA but without active tuberculosis were classified as LTBI cases. The prevalence of LTBI among the participants was subsequently analyzed. ResultsAmong the 6 765 subjects, 637 tested positive by IGRA, including one identified active tuberculosis patient, resulting in a LTBI prevalence rate of 9.40%. There was a statistically significant difference in positivity rates across different IGRA methodologies (χ²=35.530, P<0.001). Higher LTBI rate was observed in males, individuals with a history of diabetes mellitus, and those with a history of pulmonary tuberculosis, exhibiting statistically significant differences (χ²=32.401, P<0.001; χ²=5.789, P=0.020; χ²=39.248, P<0.001, respectively.) No statistically significant difference in LTBI rate was found across different age groups (χ²=0.238, P=0.971). ConclusionThe prevalence of LTBI among the elderly rural residents in Changxing County is relatively low. Male, individuals with a history of diabetes mellitus, and those with a history of pulmonary tuberculosis have an increased risk of LTBI, warranting targeted risk monitoring and timely interventions.

Objective:To establish a comprehensive and detailed evaluation index system for clinical practice bases of nursing graduate students majoring in midwifery, providing reference for promoting the construction of clinical practice bases for nursing graduate students majoring in midwifery in China.Methods:Based on the theoretical framework of international midwifery practice basic skills, an evaluation index system for clinical practice bases of nursing graduate students majoring in midwifery was established through literature analysis and Delphi method. Analytic hierarchy process was used to calculate the weights of indicators at all levels.Results:This study conducted two rounds of consultation with 20 experts. In the two rounds of consultation, the positivity coefficients of experts were 84.38% and 74.07%, and the authority coefficients of the expert groups were 0.91 and 0.94, respectively. The total Cronbach's α coefficients of the index system were 0.930 and 0.965, respectively, and the Kendall harmony coefficients of the overall indicators were 0.230 and 0.297 ( P<0.01). The final evaluation index system for clinical practice bases of nursing graduate students majoring in midwifery included five primary indicators, 14 secondary indicators, and 76 connotation indicators. Conclusions:Based on the service purpose of maternal and child health and the functional positioning of the base, this study constructs a scientific and reliable evaluation index system for clinical practice bases of nursing graduate students majoring in midwifery.

Objective:To investigate and summarize the chest CT imaging features of patients with novel coronavirus pneumonia (COVID-19), bacterial pneumonia and other viral pneumonia.Methods:Chest CT data of 102 patients with pulmonary infection due to different etiologies were retrospectively analyzed, including 36 patients with COVID-19 admitted to Hainan Provincial People's Hospital and the Second Affiliated Hospital of Hainan Medical University from December 2019 to March 2020, 16 patients with other viral pneumonia admitted to Hainan Provincial People's Hospital from January 2018 to February 2020, and 50 patients with bacterial pneumonia admitted to Haikou Affiliated Hospital of Central South University Xiangya School of Medicine from April 2018 to May 2020. Two senior radiologists and two senior intensive care physicians were participated to evaluated the extent of lesions involvement and imaging features of the first chest CT after the onset of the disease.Results:Bilateral pulmonary lesions were more common in patients with COVID-19 and other viral pneumonia, and the incidence was significantly higher than that of bacterial pneumonia (91.6%, 75.0% vs. 26.0%, P < 0.05). Compared with other viral pneumonia and COVID-19, bacterial pneumonia was mainly characterized by single-lung and multi-lobed lesion (62.0% vs. 18.8%, 5.6%, P < 0.05), accompanied by pleural effusion and lymph node enlargement. The proportion of ground-glass opacity in the lung tissues of patients with COVID-19 was 97.2%, that of patients with other viral pneumonia was 56.2%, and that of patients with bacterial pneumonia was only 2.0% ( P < 0.05). The incidence rate of lung tissue consolidation (25.0%, 12.5%), air bronchial sign (13.9%, 6.2%) and pleural effusion (16.7%, 37.5%) in patients with COVID-19 and other viral pneumonia were significantly lower than those in patients with bacterial pneumonia (62.0%, 32.0%, 60.0%, all P < 0.05), paving stone sign (22.2%, 37.5%), fine mesh sign (38.9%, 31.2%), halo sign(11.1%, 25.0%), ground-glass opacity with interlobular septal thickening (30.6%, 37.5%), bilateral patchy pattern/rope shadow (80.6%, 50.0%) etc. were significantly higher than those of bacterial pneumonia (2.0%, 4.0%, 2.0%, 0%, 22.0%, all P < 0.05). The incidence of local patchy shadow in patients with COVID-19 was only 8.3%, significantly lower than that in patients with other viral pneumonia and bacterial pneumonia (8.3% vs. 68.8%, 50.0%, P < 0.05). There was no significant difference in the incidence of peripheral vascular shadow thickening in patients with COVID-19, other viral pneumonia and bacterial pneumonia (27.8%, 12.5%, 30.0%, P > 0.05). Conclusions:The probability of ground-glass opacity, paving stone and grid shadow in chest CT of patients with COVID-19 was significantly higher than those of bacterial pneumonia, and it was more common in the lower lungs and lateral dorsal segment. In other patients with viral pneumonia, ground-glass opacity was distributed in both upper and lower lungs. Bacterial pneumonia is usually characterized by single lung consolidation, distributed in lobules or large lobes and accompanied by pleural effusion.

Objective To prepare a sustained-release membrane with longer adhesion time and dissolution time, and compare it with the commercially available oral ulcer membrane. Method Adhesion strength, adhesion time, swelling coefficient, dissolution time, etc. were used as the inspection indicators, and a combination of single factor inspection and analytic hierarchy process were used to screen the membrane -forming materials. The dispersion method of clotrimazole, ornidazole and borneol were investigated to prevent the drug from seed out. The method of combining orthogonal experiment and analytic hierarchy process were used to optimize the dosage of CMC-Na, PVA-1788 and glycerin; and the commercial products were compared. Results Through single-factor investigation and orthogonal experiment, the optimal ratio of excipients was selected as CMC-Na∶PVA-1788∶glycerol (3∶1∶0.08). The water-insoluble component clotrimazole, ornidazole and borneol were treated by precipitation in liquid with good effect. The best method was used to prepare the membrane. The adhesion strength was 102 g. The adhesion time was 55 min. The swelling coefficient was 1 939.52. The average dissolution time was 110 min. The appearance was white and the surface was free of bubbles, soft and elastic. The membrane forming time at 60 ℃ was 300 min and the demolding effect was better which could be completely peeled off with moderate thickness. Conclusion The oral ulcer membrane developed in this method has good appearance, comfortable use, strong adhesion, long adhesion time and dissolution time, and could stay on the ulcer surface for a long time to form physical isolation, and slowly release the drug during the dissolution process, which could play the role of long-term pain relief, antibacterial, anti-inflammatory and promote healing effects on oral ulcers.

Objective To understand the situation and the influencing factors of life quality in diabetic patients in Shanghai， and to develop effective intervention measures. Methods A total of 212 diabetic patients in Baoshan District， Shanghai were selected as the research objects. Diabetes specific quality of life scale （DSQL） was used to investigate the basic situation and quality of life of patients. Combined with biochemical detection indexes and questionnaire survey， data were analyzed by variance analysis and multiple linear stepwise regression analysis. Blood glucose level was assessed according to the 1999 WHO diagnostic criteria for type 2 diabetes. Results The overall quality of life score in the patients was 4.31±7.82， which was higher than the domestic norm. The best quality of life was in the dimension of physiological function with the score of 1.84±6.00， which was lower than the domestic norm. The next was the dimension of social relationship， and the worst was the dimension of treatment. The single factor analysis and multivariate analysis identified the following influence factors of quality of life in the patients： family history， educational level， exercise habit， blood glucose control and diet control. There was a negative correlation with educational level and blood glucose control， and a positive correlation with diet control. Conclusion The quality of life in the middle-aged diabetic patients was affected by the education level， blood glucose control and diet control. We suggest to strengthen the community management， health education， and improve the living habits.

Objective:To investigate the application value of establishing the differential diagnosis model of pulmonary tuberculosis using routine laboratory data.Methods:The retrospective study was conducted. The routine laboratory data of newly diagnosed patients with pulmonary tuberculosis and other pulmonary diseases in Beijng Jishuitan Hospital and Beijing Hepingli Hospital from May 2015 to November 2021were collected. According to the random numbers showed in the computer, all the 11516 patients were divided into training dataset and test dataset with a ratio of 9∶1. Four machine learning algorithms, Support Vector Machine, Random Forest, K-Nearest Neighbor and Logistic Regression, were used to build models and select features. The diagnostic accuracy of each model was verified by using the 10-fold cross-validation method and the performance of each model was evaluated by using the receptor operator of characteristic (ROC) curve.Results:Random Forest was selected as the optimal machine learning algorithm to build the best feature model in the study. According to importance scale of factors, the differential diagnosis model of pulmonary tuberculosis consisting of 37 non-specific test indexes. In the validation set and test set the accuracy and area under curve (AUC) of the models were 0.747 and 0.736, the sensitivity, specificity and accuracy were 68.03% and 68.75%, 70.91% and 67.90%, 70.30% and 68.12%, respectively.Conclusion:A key tool in the differential diagnosis model of pulmonary tuberculosis was established by routine laboratory data in combination with machine learning. The results of this study need to be further verified by more data from medical institutions.

Objective:To establish and evaluate a new real-time quality control method that can identify the random errors by using the backpropagation neural network (BPNN) algorithm and taking blood glucose test as an example.Methods:A total of 219 000 blood glucose results measured by Siemens advia 2 400 analytical system from January 2019 to July 2020 and derived from Laboratory Information System of Beijing Chaoyang Hospital Laboratory Department was regarded as the unbiased data of our study. Six deviations with different sizes were introduced to generate the corresponding biased data. With each biased data, BPNN and MovSD algorithms were used and tested, and then evaluated by traceability method and clinical method.Results:For BPNN algorithm, the block size was pre-set to 10 and the false-positive rate in all biases was within 0.1%. For MovSD, however, the optimal block size and exclusive limit were 150 and 10% separately and its false-positive rate in all biases was 0.38%, which was 0.28% higher than BPNN. Especially, for the least two error factors of 0.5 and 1, all the random errors were not detected by MovSD; for the error factor larger than 1, random errors could be detected by MovSD but the MNPed was higher than that of BPNN under all deviations. The difference was up to 91.67 times. 460 000 reference data were produced by traceability procedure. The uncertainty of BPNN algorithm evaluated by these reference data was only 0.078%.Conclusion:A real-time quality control method based on BPNN algorithm was successfully established to identify random errors in analytical phase, which was more efficient than MovSD method and provided a new idea and method for the identification of random errors in clinical practice.

1,2,3-trichloropropane (TCP) is an industrially synthesized aliphatic chlorinated hydrocarbon and an intermediate product in the industrial production of epichlorohydrin, which can be used as a precursor for the manufacture of soil fumigant and organic solvents. Due to its biological toxicity, environmental persistence and strong environmental migration ability, 1,2,3-TCP is listed as an emerging organochlorine pollutant in the environment and regulated by many international organizations. Currently, the degradation of 1,2,3-TCP and the remediation of 1,2,3-TCP-contaminated sites receive great attention, but the degradation mechanism of 1,2,3-TCP has not been summarized in depth. This article discussed the origin of 1,2,3-TCP, its environmental impact and ecological effects, and the physical and chemical degradation techniques. This was followed by summarizing the degradation mechanisms of 1,2,3-TCP (e.g., aerobic co-biodegradation, anaerobic biodegradation). Specially, the pathways and mechanisms of microbial biodegradation and transformation of 1,2,3-TCP in anoxic environments (e.g., groundwater) were thoroughly reviewed. The feasibility of using 1,2,3-TCP as an electron acceptor by organohalide-respiring bacteria under anoxic conditions was predicted based on thermodynamic analysis. Last but not least, in situ bioremediation of 1,2,3-TCP contaminated sites was summarized, and prospects for future research were discussed.
Biodegradation, Environmental ; Environmental Restoration and Remediation ; Hydrocarbons, Chlorinated ; Propane/analogs & derivatives* ; Technology

Background: Cardiopulmonary resuscitation (CPR) strategies in COVID-19 patients differ from those in patients suffering from cardiogenic cardiac arrest. During CPR, both healthcare and non-healthcare workers who provide resuscitation are at risk of infection. The Working Group for Expert Consensus on Prevention and Cardiopulmonary Resuscitation for Cardiac Arrest in COVID-19 has developed this Chinese Expert Consensus to guide clinical practice of CPR in COVID-19 patients. Main recommendations: 1) A medical team should be assigned to evaluate severe and critical COVID-19 for early monitoring of cardiac-arrest warning signs. 2) Psychological counseling and treatment are highly recommended, since sympathetic and vagal abnormalities induced by psychological stress from the COVID-19 pandemic can induce cardiac arrest. 3) Healthcare workers should wear personal protective equipment (PPE). 4) Mouth-to-mouth ventilation should be avoided on patients suspected of having or diagnosed with COVID-19. 5) Hands-only chest compression and mechanical chest compression are recommended. 6) Tracheal-intubation procedures should be optimized and tracheal-intubation strategies should be implemented early. 7) CPR should be provided for 20-30 min. 8) Various factors should be taken into consideration such as the interests of patients and family members, ethics, transmission risks, and laws and regulations governing infectious disease control. Changes in management: The following changes or modifications to CPR strategy in COVID-19 patients are proposed: 1) Healthcare workers should wear PPE. 2) Hands-only chest compression and mechanical chest compression can be implemented to reduce or avoid the spread of viruses by aerosols. 3) Both the benefits to patients and the risk of infection should be considered. 4) Hhealthcare workers should be fully aware of and trained in CPR strategies and procedures specifically for patients with COVID-19.

Objective:To develop the "Internet +" Long-term Care Service Demand Questionnaire for the Disabled Elderly at Home and test its reliability and validity.Methods:A test version of the questionnaire was formed through the literature review, expert consultation and pre-survey. From June 2020 to January 2021, the multi-stage stratified sampling was adopted to select 251 elderly disabled persons at home in Qingdao for testing and test the reliability and validity of the questionnaire.Results:The final questionnaire had a total of 27 items. A total of 7 common factors were extracted by exploratory factor analysis, with a cumulative variance contribution rate of 65.295%. The Cronbach's α coefficient of the total questionnaire was 0.891, and the half-reliability coefficient was 0.809, and the test-retest reliability was 0.859.Conclusions:The "Internet +" Long-term Care Service Demand Questionnaire for Home Disabled Elderly has good reliability and validity, and can be used to reflect the current status of the demand for "Internet +" long-term care services for the disabled at home.