Objective:To explore the risk factors of pneumoconiosis complicated with pulmonary tuberculosis, to construct a clinical prediction model for patients with pneumoconiosis complicated with pulmonary tuberculosis, and to provide a scientific basis for the prevention of pneumoconiosis complicated with pulmonary tuberculosis.Methods:In January 2024, a total of 232 patients with pneumoconiosis (including coal workers' pneumoconiosis and silicosis) who were treated in the Department of Respiratory and Critical Care Medicine of the Third People's Hospital of Xinjiang Uygur Autonomous Region (Xinjiang Uygur Autonomous Region Occupational Disease Hospital) from January 2022 to January 2023 were randomly selected as the study subjects. Collectted basic patient information and diagnostic data. Multivariate logistic regression analysis was used to screen the risk factors related to pneumoconiosis complicated with pulmonary tuberculosis. According to the results of multivariate logistic regression analysis, a nomogram was established, and the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive ability.Results:Among the 232 patients with pneumoconiosis, 73 were complicated with pulmonary tuberculosis, accounting for 31.47% (73/232). Multivariate logistic regression analysis determined that dust exposure time, type of work, smoking history, and lung function level were all risk factors for pneumoconiosis complicated with tuberculosis ( OR=10.33, 95% CI=1.92~55.66, OR=5.43, 95% CI=1.91~15.44, OR=3.10, 95% CI=1.15~8.37, OR=4.00, 95% CI=1.62~9.87; P<0.05). The constructed nomogram model has good clinical applicability when the area under the receiver operating characteristic (ROC) curve is 0.77 [95% CI (0.69, 0.73) ], the calibration curve is close to the ideal diagonal, the absolute error between the simulation curve and the actual curve is 0.03, and the DCA decision curve shows that the probability threshold of the nomogram model is 1%-90%. Conclusion:The risk of pneumoconiosis complicated with tuberculosis is high, and the risk factors of dust exposure time, smoking history, type of work and lung function level are high. This nomogram model can be used to predict the risk of pulmonary tuberculosis in patients with pneumoconiosis, which is helpful for early intervention.

Objective:To explore the risk factors of pneumoconiosis complicated with pulmonary tuberculosis, to construct a clinical prediction model for patients with pneumoconiosis complicated with pulmonary tuberculosis, and to provide a scientific basis for the prevention of pneumoconiosis complicated with pulmonary tuberculosis.Methods:In January 2024, a total of 232 patients with pneumoconiosis (including coal workers' pneumoconiosis and silicosis) who were treated in the Department of Respiratory and Critical Care Medicine of the Third People's Hospital of Xinjiang Uygur Autonomous Region (Xinjiang Uygur Autonomous Region Occupational Disease Hospital) from January 2022 to January 2023 were randomly selected as the study subjects. Collectted basic patient information and diagnostic data. Multivariate logistic regression analysis was used to screen the risk factors related to pneumoconiosis complicated with pulmonary tuberculosis. According to the results of multivariate logistic regression analysis, a nomogram was established, and the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive ability.Results:Among the 232 patients with pneumoconiosis, 73 were complicated with pulmonary tuberculosis, accounting for 31.47% (73/232). Multivariate logistic regression analysis determined that dust exposure time, type of work, smoking history, and lung function level were all risk factors for pneumoconiosis complicated with tuberculosis ( OR=10.33, 95% CI=1.92~55.66, OR=5.43, 95% CI=1.91~15.44, OR=3.10, 95% CI=1.15~8.37, OR=4.00, 95% CI=1.62~9.87; P<0.05). The constructed nomogram model has good clinical applicability when the area under the receiver operating characteristic (ROC) curve is 0.77 [95% CI (0.69, 0.73) ], the calibration curve is close to the ideal diagonal, the absolute error between the simulation curve and the actual curve is 0.03, and the DCA decision curve shows that the probability threshold of the nomogram model is 1%-90%. Conclusion:The risk of pneumoconiosis complicated with tuberculosis is high, and the risk factors of dust exposure time, smoking history, type of work and lung function level are high. This nomogram model can be used to predict the risk of pulmonary tuberculosis in patients with pneumoconiosis, which is helpful for early intervention.

Objective To observe the molecular mechanism of adaptive response of the kidney and skeleton and brain issues in the high altitude hypoxia; To discuss the unity of yin and yang oscillation relationship of kidney and brain marrow.Methods SPF KM mice were randomly divided into control group and model group according to random number table method. Mice in the model group were exposed to high altitude hypoxia cabin for successive 21 d. On the 22nd day, mice got out of the cabin and their body weight was measured, and then they were put to death through eyeball blood sampling. The activities of lactic LDH and Na+-K+-ATPase in brain tissue were detected by spectrophotometric colorimetry. The PFK activities of brain and skeletal muscle were detected by ELISA. Meanwhile the contents of EPO and EPOR in the kidney were measured by ELISA. The mRNA expressions of HIF-1α and AQP-4 in brain were assessed by RT-PCR. At the same time, the protein expressions of HIF-1α and AQP-1 in brain and the protein expression of Mb in skeletal muscle were detected by Western blot.Results Compared with the normal group, the LDH and PFK in brain tissue and the content of EPO in kidney tissue were all raised in the model group(P<0.05). Meanwhile the mRNA expressions of HIF-1α and AQP-4 and the protein expressions of HIF-1α and AQP-1 in brain were all increased in the mice from the model group; the activities of PFK and the protein expression of Mb in skeletal muscle were also raised in the model group. But the activity of Na+-K+-ATPase in brain tissue and the content of EPOR in kidney tissue both decreased in the model group (P<0.05,P<0.01).Conclusion Adaptive response and the unity of yin and yang oscillation relationship between kidney, skeleton and brain tissue happen in high altitude hypoxia.

Objective By studying the change of the special antibodies titer IgG, IgM and nucleocaspid to SARS corona virus in family clustering cases , searching and testing the special antibody to SARS corona virus in the patients kinfolks Method Testing special antibody titer to SARS corona virus of 14 patients from 5 different families and their 10 kinfolks continuously by IFA and antigen capturing ELISA methods, taken samples in the 7 th , 14 th , 30 th , 60 th , 120 th , 180 th , 210 th ,270 th ,360 th day after SARS patients infected by SARS corona virus, dilute them, and then measure titers of three kinds of antibodies ResultsDuring the testing of IgG antibody titer of the 14 SARS patients by IFA method, in the 120 th day, the average titer is up the highest value, it is 1/1 120; in the 180 th day, the average titer begins to descend, it is 1/262 in the 360 th day, the average titer is 1/71 During the testing of IgM titer, the average titer is 1/32, it is obviously lower than it in IgG testing; the IgM titer of the most SARS patients are disappear after 120 days The average value of nucleocaspid antibody titer is lower than it in IgG antibody But there are some differences in 5 cases While IgG antibody titer begins to descend in the 180th day, nucleocaspid antibody titer begins to ascend obviously, it is up to 1/790 210 th day begins to descend In the meantime, we have tested special antibody to SARS corona virus of their 10 kinfolks (include 2 children) who have contacted with SARS patients closely The samples are taken in the 14 th , 30 th , 60 th day, and all the special IgG, IgM and nucleocaspid antibody to SARS corona virus are negative ConclusionBy testing the special IgG antibody to SARS corona virus of the 14 family clustering cases ,we find the special IgG antibody titer of the SARS patient is higher, and it can remain for a long time As for the nucleocaspid antibody titer of some SARS patients ascend obviously after 180days, we think that it provide useful information for vaccine development and it is necessary for us to study more in the clinic There is no special blood serum antibody to SARS corona virus in their 10 kinfolks of the SARS patients