1.Temperature Control and Surface Cooler Reform in Operating Room Air Decontamination System
Chunguang YANG ; Xueyuan LI ; Qiquan XIANG ; Zhongyou SUN
Chinese Medical Equipment Journal 1993;0(05):-
The principle of temperature control in operating room air decontamination system and the main reasons with difficulties of regulating temperature in transformation period of spring and autumn are analyzed. The reconstructed approaches of circulating water line on surface cooler are adopted appropriately, not only to solve the question of long temperature decreasing response time in operating room but also to save substantially a lot of expenditures and reduce the running loss.
2.Clustering of health-risk behaviors among children and adolescents in Yancheng City
LU Xiaomin ; ZHAO Jijuan ; SUN Zhongyou ; ZHANG Xueyan ; CHEN Shenglan
Journal of Preventive Medicine 2023;35(4):331-334
Objective:
To investigate the clustering of health-risk behaviors and its influencing factors among children and adolescents in Yancheng City, Jiangsu Province, so as to provide insights into the prevention and control of health-risk behaviors among children and adolescents.
Methods:
Students were randomly sampled from 4 primary schools, 4 junior high schools and 4 senior high schools in Yancheng City using a multi-stage stratified cluster random sampling method from September to December 2021. Students' demographics and 12 health-risk factors including unhealthy diet, insufficient physical activity and attempted smoking were collected using the Student's Health Status and Influencing Factors Questionnaire by Jiangsu Provincial Center for Disease Control and Prevention, and factors affecting the clustering of health-risk behaviors were identified using a multivariable linear regression model.
Results:
A total of 2 925 valid questionnaires were recovered, and the respondents included 1 611 boys (55.08%) and 1 314 girls (44.92%). A total of 2 896 respondents were detected with health-risk behaviors, with a detection rate of 99.09%, and 2 772 respondents were detected with clustering of health-risk behaviors (93.06%). Insufficient sleep, insufficient physical activity and insufficient duration of outdoor activity were predominant patterns of clustering. The median number of health-risk behaviors was 4.00 (interquartile range, 2.00) per capita. Multivariable linear regression analysis showed that boys (β=0.232), grade (junior high school, β=0.519; senior high school, β=0.427), urban area (β=0.241), living at school (β=0.395), family structure (single parental family, β=0.188; other families, β=0.344) and father's education level of primary school and below (β=0.369) were factors affecting clustering of health-risk behavior among primary and high school students.
Conclusions
The detection of health-risk behaviors is high among children and adolescents in Yancheng City, and insufficient sleep, insufficient physical activity and insufficient duration of outdoor activity are predominant health-risk behaviors. Boys, junior high school and above, urban areas, living at schools, single parents, and fathers with a low educational level lead to a high degree of clustering of health-risk behaviors.
3.Diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers
Zheng ZHU ; Guokang SUN ; Qiurong HE ; Zhongyou LI ; Yu MA ; Yiping CHEN
Chinese Journal of Industrial Hygiene and Occupational Diseases 2024;42(4):276-281
Objective:To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population.Methods:In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model.Results:Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant ( P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers ( OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion:Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.
4.Diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers
Zheng ZHU ; Guokang SUN ; Qiurong HE ; Zhongyou LI ; Yu MA ; Yiping CHEN
Chinese Journal of Industrial Hygiene and Occupational Diseases 2024;42(4):276-281
Objective:To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population.Methods:In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model.Results:Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant ( P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers ( OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion:Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.
5.The expression of PCDH9 was absent in prostate cancer tissues in the high-score group and was associated with the expressions of p53, Rb and STAT3
Hao WANG ; Lijuan PENG ; Zhongyou XIA ; Yulai XU ; Jing SUN ; Xuqian ZHANG ; Qiongxian LONG ; Ji WU
Journal of Modern Urology 2024;29(3):273-277
【Objective】 To explore the expression of PCDH9 loss in regulating cell cycle and promoting tumor progression. 【Methods】 The clinical records of 127 cases of prostate cancer treated during 2018 and 2023 were collected, including 87 paraffin tissue samples from the G4-5 group and 40 from the G1-3 group. The expressions of PCDH9, p53, Rb and STAT3 were detected with immunohistochemical staining, and the relationship between their expressions and clinicopathological characteristics was analyzed. 【Results】 The expression deletion rate of PCDH9 in prostate cancer tissues in G4-5 group (44.8% vs.7.5%) was significantly higher than that in G1-3 group (P<0.001). The positive expression rates of p53 and STAT3 were 34.5% and 89.7%, respectively, and the expression loss rate of Rb was 27.6% in G4-5 group. The expression loss rates of PCDH9 and Rb were associated with neuroendocrine-like histological morphology, nerve invasion and vascular invasion (P<0.05). In G4-5 group of prostate cancer, PCDH9 expression was positively correlated with the expressions of p53 (r=0.345, P<0.05), Rb (r=0.503, P<0.05) and STAT3 (r=0.224, P<0.05). 【Conclusion】 PCDH9 is prone to loss of expression in high-group prostate cancer tissues, especially in cases with neuroendocrine-like histological morphology, which may regulate the cell cycle through the STAT3 signaling pathway, thereby promoting tumor progression.