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Objective@#To investigate the prospective effects of intake of each food group on the development of lung function of pupils,so as to provide theoretical basis for promoting the healthy development of lung function and preventing chronic respiratory diseases in Chinese children.@*Methods@#A cluster stratified sampling method was used to select a total of 893 pupils in grades 2-5 from Chengdu in November 2021. Dietary data of respondents were collected using a food frequency questionnaire within the past year,then the food group intake was categorized into T1, T2 and T3 from low to high by the trichotomous method, and anthropometric measurements including lung capacity were obtained in 2022. Logistic regression models and test for trend were used to analyze the prospective effects of intake of each food group on lung function development of pupils.@*Results@#Among male students, consumption of vegetables [118.6(50.5, 188.2)g/d] and milk and dairy products [200.0(73.3, 250.0)g/d] were higher in the excellent lung capacity group than in the non excellent lung capacity group [90.0(37.1, 192.9), and 178.6(35.7, 250.0)g/d],with statistically significant differences ( Z =-1.98, -2.24); among girls, the group with excellent lung capacity consumed less staple food [391.1(273.6, 511.4)g/d] than the group with non excellent lung capacity [407.4(309.5, 594.3)g/d], and the group with excellent lung capacity consumed more aquatic products [31.2(14.6, 69.8)g/d] and milk and dairy products [215.0(107.1, 250.1) g/d ] than that of the non excellent lung capacity [19.4(10.7, 58.3), 114.3(35.7, 250.0)g/d] ( Z =-2.01, -3.33, -5.10)( P < 0.05 ). After adjusting for energy, body mass index Z score(BMI Z ), mother s education level, averge family income monthly, whether presence of smokers in the living environment, and whether participation in physical activities during the past week, among male students, T3 group of vegetable intake ( OR =0.48, 95% CI = 0.27-0.86), T2 group of bean and soy product intake ( OR = 0.52 , 95% CI =0.27-0.96)，T2 and T3 groups of milk and dairy products intake (T2： OR =0.54, 95% CI =0.31-0.93; T3： OR = 0.52 , 95% CI =0.30-0.90) were negatively associated with non excellent lung capacity ( P <0.05). Among girls, T3 group of aquatic product intake( OR =0.52, 95% CI =0.28-0.97), T2 and T3 groups of milk and dairy product (T2: OR =0.44, 95% CI =0.25- 0.76 ;T3: OR =0.33, 95% CI =0.19-0.59) were negatively associated with nonexcellent lung capacity, whereas the T2 group of red meat intake ( OR =2.51, 95% CI =1.37-4.67) was positively associated with non excellent lung capacity. Non excellent lung capacity was found to be negatively associated with vegetable and milk and dairy product intake in boys by test for trend; in girls, milk and dairy products intake was negatively associated with non excellent lung capacity, whereas red meat intake was positively associated with non excellent lung capacity ( t =-1.13，-0.44；-3.03，1.95, P trend <0.05).@*Conclusions@#Milk and dariy products intakes reduce the risk of non excellent lung capacity in pupils, vegetables intakes reduce the risk of non excellent lung capacity in boys, and the intake of red meat increases the risk of non excellent lung capacity in girls. Promoting rational food choices is necessary for children to improve healthy lung development.
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Objective To analyze the changes of liver and kidney function, blood glucose and lipid metabolism at different follow-up time points of different treatment regimens, and to provide reference for clinical optimization and adjustment of medication in HIV/AIDS patients. Methods The changes of liver and kidney function, blood glucose and lipid metabolism at seven follow-up time points were analyzed retrospectively. The baseline blood collection time of HIV /AIDS patients was set as the starting point, and the final follow-up time was set as the end point. The seven follow-up points were 0, 3, 6, 9, 12, 18 and 24 months respectively. Results There were statistically significant differences in the distribution of sex, age, education, marital status, WHO staging, infection route, and baseline CD4+T lymphocyte count among 605 enrolled patients based on different treatment regimens. Liver function: The level of T-Bil in group E was higher than that of baseline at 9M, 12M, 18M and 24M after treatment (P<0.01); In group F, the level of T-Bil was higher than that of baseline at 9M after treatment (P=0.001); The levels of ALT in group C at the six follow-up points after treatment were higher than the baseline (P<0.001); The level of AST in group C was higher than that of baseline after 3M and 6M treatment (P<0.05). Renal function: The level of UREA in group C was higher than that in baseline after 6M treatment (P=0.007); The level of UREA in group F was higher than that in the baseline after 12M treatment (P<0.001); The level of UA in group F was higher than that of baseline after 3M, 6M and 12M treatment (P<0.05). Blood lipid and blood glucose: The levels of Glu at some follow-up points after ART treatment in group A and group C were higher than that at baseline (P<0.05); The levels of TG at some follow-up points in group A, group E and group F after ART treatment were higher than those at baseline (P<0.05); The levels of TC at some follow-up points in group A, group B, group C, group E and group F after ART treatment were all higher than the baseline (P<0.05). Conclusion Regular monitoring of changes in laboratory indicators of different treatment regimens during ART is of great importance to the prognosis of patients. Different laboratory indicators should be monitored according to different treatment regimens to effectively prevent adverse reactions caused by different treatment regimens.
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Objective To establish a model for estimating the eye lens dose of the first operator in interventional therapy based on the Monte Carlo simulation, and to provide a scientific basis for the rapid and accurate evaluation of the eye lens dose for radiation workers in interventional therapy. Methods Based on the MIRD phantom and eye model for adult Chinese males, the MCNPX program was used to establish the physical model to calculate the spatial distribution of radiation field and eye lens dose for the first operator. A GR200 Type A LiF (Mg, Cu, P) thermoluminescence dosimeter was used for experimental measurement to verify the simulation results. Results Monte Carlo simulation and experimental measurements showed that the spatial distribution of radiation field was symmetrical. Compared with the measured doses, the errors of the simulated eye lens dose of the first operator were between −8.3% and 7.3%. The dose of the left eye lens was higher than that of the right eye. Conclusion The Monte Carlo model constructed in this study initially realizes the simulation of eye lens dose of the first operator in interventional therapy. In the future, the model will be further optimized based on irradiation parameters such as exposure time, tube voltage, tube current, and projection direction used in clinic practice, so as to more accurately evaluate the eye lens dose of interventional therapy staff.
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Objective To analyze the factors influencing the levels of occupational exposure in medical radiation workers in China, and to provide a scientific basis for determining the key points of radiation protection in the medical sector. Methods The individual monitoring data on occupational external exposure in medical radiation workers in 2021 were collected from the “National Individual Dose Registry”. The Chi-squared test and logistic regression were used to analyze the factors influencing the levels of occupational exposure in medical radiation workers. Results The Chi-squared test showed that gender, occupational category, medical institution category, region, number of radiation workers per thousand population, and regional per capita GDP were significantly associated with occupational exposure in medical radiation workers exceeding the annual effective dose of 5 mSv and an annual effective dose limit of 20 mSv (χ2 = 21.456−262.329, 7.601−78.650, P < 0.05). The logistic regression analysis further showed that gender, occupational category, region, and number of radiation workers per thousand population were factors influencing the occupational exposure in medical radiation workers exceeding the annual effective dose of 5 mSv (χ2 = 14.621−170.857, P < 0.05); gender, occupational category, region, and regional per capita GDP were factors influencing the occupational exposure in medical radiation workers exceeding the annual effective dose of 20 mSv (χ2 = 5.401−48.709, P < 0.05). Conclusion Male radiation workers in interventional radiology and in central China have high risks of exceeding annual effective doses of 5 and 20 mSv. Moreover, high number of radiation workers per thousand population and regional per capita GDP are associated with low risks. Medical institutions should maintain a sufficient number of radiation workers and strengthen training on radiation protection knowledge for male and interventional radiology workers to enhance their radiation protection awareness. Investigation of the factors contributing to the high occupational exposure in central China should be intensified, and targeted effective measures should be conducted to reduce the occupational exposure in medical radiation workers.
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Objective:To investigate the molecular network of HIV-1 CRF01_AE in Yunnan Province and the factors influencing it.Methods:Demographic data and plasma samples of HIV/AIDS patients in Yunnan drug resistance monitoring database from 2018 to 2021 were collected. HIV-1 pol gene fragments (protease and reverse transcriptase region) were amplified using RT-PCR and then sequenced. The optimal gene distance was selected and a molecular network was constructed based on the sequences of CRF01_AE genotype. Results:In this study, a total of 967 sequences of CRF01_AE genotype were obtained by sequencing. At the optimal gene distance threshold of 1.75%, a total of 320 sequences were involved in the network with a rate of 33.1%, and 84 clusters were identified. In the regional distribution, one cluster dominated by multiple regions, one cluster dominated by Zhaotong, one cluster dominated by Honghe and five clusters dominated by Wenshan were formed in the network. In the network, 75.8% of heterosexual men were connected with other heterosexual men and 54.1% were connected with heterosexual women. There was potential transmission among 66.7% of men who have sex with men (MSM). HIV/AIDS patients in Chuxiong, Dali, Dehong, Honghe, Lincang, Pu′er, Wenshan, Yuxi and Zhaotong were more likely to be involved in the network that those in Kunming. People who were 50 years old and above were more likely to be involved in the network than those less than 25 years old. Factors influencing HIV/AIDS patients with HIV-1 CRF01_AE infection to become high-risk transmitters in Yunnan were not found and further study on this subject was needed.Conclusions:HIV-1 CRF01_AE strains had spread actively in different regions of Yunnan Province and the transmission network was complex. Dynamic monitoring of CRF01_AE strains should be strengthened and a precise intervention for high-risk transmitters should be performed to reduce new infections.
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Platelets play an important role in hemostasis, inflammation, tumor metastasis, wound healing and defense response, but its routine storage requires a specific temperature and the storage time is generally limited to 5 ~7 d, at the same time, platelet storage damage and bacterial breeding will limit its storage time. In addition, routine transfusion can cause serious adverse reactions such as non-hemolytic fever, allergies, circulatory overload, and transfusion-related acute lung injury. These limit the clinical application of platelet products. However, additives associated with platelet preservation can reduce the likelihood of their occurrence. Therefore, this article reviews the research status of additives related to platelet preservation in recent years, as well as improving platelet storage damage and improving platelet preservation characteristics.
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Rituximab, a chimeric human-mouse monoclonal antibody, has been used as a first-line treatment for CD20
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Objective:To develop an information system for testing radiological protection that can interface with National Radiation Health Information Platform/Medical Radiation Monitoring Subsystem and to improve the testing efficiency.Methods:Complying with the relevant national regulations and standards, the analysis was carried out of demand investigation and system modeling. An information system for testing radiological protection was established using B/S architecture, comprising three modules such as testing, audit and system management. The users at four levels were set of administrator, inspector, auditor and report issuer.Results:Based on test result, the developed information system has been shown to realize the informatization of the whole process from filling, auditing, issuing, issuing of the testing report to data uploading, with improved testing efficiency.Conclusions:The developed information system for testing radiological protection can improve the testing efficiency, and can be successfully interfaced with the National Radiation Health Information Platform/Medical Radiation Protection Monitoring Subsystem.
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Objective:To analyze the influencing factors on initial testing qualified rate of condition monitoring of digital radiography (DR) devices in China and provide the scientific basis for key points of national medical radiation protection monitoring work.Methods:The data of quality control detection of DR devices, reported by 31 provinces in 2020, were collected from National Radiation Health Information Platform-National Medical Radiation Protection Monitoring System. Logistic regression was used to analyze the related influencing factors of initial testing qualified rate of condition monitoring of DR devices.Results:The result of logistic regression analysis showed that the nature of radiological health technical service institutions, the level of medical and health institution and the regions where they are located in China were the independent influencing factors of initial testing qualified rate of condition monitoring of DR devices ( χ2=15.41-21.18, P < 0.05). Private institution group ( OR=1.714, 95% CI: 1.310-2.243), tertiary hospital group ( OR=1.710, 95% CI: 1.310-2.232) and secondary hospital group ( OR=1.540, 95% CI: 1.203-1.971) had a higher qualified probability of DR devices, while western region group ( OR=0.670, 95% CI: 0.526-0.852) had a lower qualified probability of DR devices. Conclusions:Supervision on quality control of DR devices should be strengthened, such as strengthening the random inspection and double-check to the devices. And great attention should be paid to the quality control testing of DR devices in the western China and in the primary and ungraded hospitals.
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Objective To propose a computer recognition algorithm for solid nuclear track images based on the machine learning method, and to realize the automatic, fast and accurate recognition of nuclear tracks and improve the efficiency of solid track image analysis. Methods Firstly, 143 images containing tracks were scanned by morphological method to determine the location of suspected tracks, and 1250 material images were captured. 50% of the material were selected as the training set and 30% as the validation set for training the machine learning model. Another 20% of the material were selected as the test set for testing the model recognition result. The algorithm code was written and trained based on the MATLAB software. Results The established solid track recognition algorithm had a strong recognition capability, and the recognition accuracy of the test set could reach 84.8%. The machine learning model program constructed by the algorithm could evolve continuously with the input of training data, further improving the accuracy. Conclusion Based on image morphology and machine learning, the track recognition algorithm was investigated, by which the automatic recognition of solid tracks was better realized. In the future, we will increase the data input of the model, optimize the algorithm, and improve the recognition accuracy, in order to provide a more accurate and efficient method for automatic image track recognition.