Background Coal workers' pneumoconiosis is a serious occupational disease in China. Exhaled volatile organic compounds (VOCs) can serve as the "breath fingerprint" of internal pathological processes, which provides a theoretical basis for exhaled VOCs to be used as potential non-invasive biomarkers for early diagnosis of coal workers' pneumoconiosis. Objective To screen out the characteristic VOCs and important characteristic VOCs of exhaled air in patients with coal workers' pneumoconiosis, and to explore the potential of these VOCs as biomarkers for early non-invasive diagnosis of the disease. Methods In this study, 27 VOCs in the exhaled breath of 22 patients with stage I coal workers' pneumoconiosis, 77 workers exposed to dust, and 92 healthy controls were quantitatively detected by thermal desorption gas chromatography-mass spectrometry (TD-GC-MS). Substances with P<0.05 in univariate analysis and variable importance projection (VIP) >1 in supervised orthogonal partial least squares discriminant analysis (OPLS-DA) model were selected as the characteristic VOCs for early diagnosis of coal workers' pneumoconiosis. Age was included in the LASSO regression model as a covariate to screen out important characteristic VOCs, and the diagnostic performance was evaluated by receiver operating characteristic (ROC) curve. Spearman correlation was further used to explore the correlation between important characteristic VOCs and clinical lung function indicators. Results Through univariate analysis and OPLS-DA modeling, 8 VOCs were selected, including 2-methylpentane, 3-methylpentane, n-hexane, methylcyclopentane, n-heptane, methylcyclohexane, 4-methyl-2-pentanone, and 2-hexanone, in exhaled breath of patients with coal workers' pneumoconiosis. The concentrations of 4 VOCs, including 3-methylpentane, n-hexane, 4-methyl-2-pentanone, and 2-hexanone, showed a decreasing trend with the increase of dust exposure years. By LASSO regression, the important characteristic VOCs of the coal workers' pneumoconiosis group and the dust exposure group were n-hexane, methylcyclohexane and 4-methyl-2-pentanone, and the important characteristic VOCs of the coal workers' pneumoconiosis group and the healthy group were 2-methyl-pentane and 4-methyl-2-pentanone. The ROC analysis showed that the area under the curve (AUC) of n-hexane, methylcyclohexane, and 4-methyl-2-pentanone were 0.969, 0.909, and 0.956, respectively, and the AUC of combined diagnosis was 0.988 and its Youden index was 0.961, suggesting that these results can serve as a valuable reference for further research on early diagnosis. The Correlation analysis found that there was a positive correlation between n-hexane and lung function indicators in the important characteristic VOCs, indicating that it could indirectly reflect the obstruction of lung function ventilation, further proving that important characteristic VOCs have the potential to monitor lung function decline. Conclusion Three important characteristic VOCs selected in this study have the potential to be used as non-invasive biomarkers for early diagnosis and disease monitoring of coal workers' pneumoconiosis, and are worthy of further study and verification.

Objective To explore the risk factors associated with the occurrence of dampness syndrome based on peripheral blood multiple laboratory indicators,construct predictive model and validate it.Methods A retrospective analysis was conducted on 180 patients who visited the Preventive Treatment Center of Guangdong Provincial Hospital of Chinese Medicine from May 2022 to December 2023.They were divided into two groups according to the diagnostic criteria:the damp syndrome of TCM group(n=118)and the balanced yin-yang constitution group(n=62),with the latter serving as the"non-syndrome"control group for dampness syndrome.Serum biochemical indicators were detected by electrochemiluminescence(ECL),immune cell subsets were analyzed through flow cytometer,and routine blood parameters were assessed using an automatic hematology analyzed.Logistic regression analysis was employed to screen risk factors and develop a predictive model.The Bootstrap method was used for data resampling to draw the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA)to evaluate the predictive value,consistency,and clinical efficacy of the model.Results Compared with the balanced yin-yang constitution group,the damp syndrome of TCM group showed increased levels of insulin(INS),non-high-density lipoprotein cholesterol(non HDL-C),red blood cells(RBC)and the proportion of CD4+T cells,the proportion of triglyceride(TG)>1.70 mmol/L,total cholesterol(TC)>5.20 mmol/L,low-density lipoprotein cholesterol(LDL-C)>3.37 mmol/L,and high-density lipoprotein cholesterol(HDL-C)≤1.15 mmol/L were also significantly higher,with statistical significance(U/t/χ2=-2.900～4 626,all P＜0.05).Logistic regression analysis showed that INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and the proportion of CD4+T cells were independent risk factors for the occurrence of damp syndrome of TCM(all P＜0.05).Based on the screened risk factors,a forecasting model was established and a nomogram was plotted.The model had an area under the ROC curve area under curve(AUC)of 0.747(95%CI=0.672～0.822),a Brier score of 0.184 for the calibration curve,and demonstrated clinical net benefit at threshold probabilities ranging from 0.30 to 1.00.Conclusion The forecasting model constructed based on INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and CD4+T cells ratio has a high predictive value for damp syndrome of TCM.

Objective:To develop a clinical predictive model for dampness constitution based on laboratory testing indicators.Methods:A retrospective cohort study was conducted on 1 355 healthy individuals who underwent physical examinations at the Health Examination Center of Guangdong Provincial Hospital of Traditional Chinese Medicine from October 1 st, 2022 to October 31 st, 2023. Basic information and blood routine, blood glucose, liver function, lipid metabolism, and kidney function test results of 1 355 apparently healthy individuals were collected. According to the diagnostic criteria for dampness constitution in traditional Chinese medicine, they were divided into a dampness constitution group (683 cases, including 394 with phlegm-dampness constitution and 289 with damp-heat constitution) and a non-dampness constitution group (672 cases). Among them, there were 547 males and 136 females in the dampness constitution group, with an age of 38.0 (32.0, 45.0) years; and there were 355 males and 317 females in the non-dampness constitution group, with an age of 33.0 (27.0, 41.0) years. A total of 1 355 apparently healthy individuals were randomly divided into a training set ( n=948) and a validation set ( n=407) using computer-generated random numbers in a 7∶3 ratio. Logistic regression analysis was employed to identify risk factors associated with dampness constitution. Utilizing these identified risk factors, a predictive model was constructed and subsequently visualized. The model′s predictive accuracy, consistency, and clinical utility were assessed using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), respectively. Results:Among 1 355 subjects, there were statistically significant differences ( P<0.05) in gender, age, body mass index (BMI), blood glucose, some indicators of renal function, some indicators of blood routine, liver function, and four indicators of lipid metabolism between the dampness constitution group and the non-dampness constitution group. Gender ( OR=0.434,95 %CI 0.253-0.738), Cr ( OR=0.981,95 %CI 0.967-0.996), BMI ( OR=1.366,95 %CI 1.290-1.450), and LDL-C ( OR=1.388,95 %CI 1.014-1.897) were independent risk factors for dampness constitution ( P<0.05). A nomogram was subsequently developed based on these identified risk factors. The areas under the ROC curves (AUC) of the training set and validation set were 0.810 (95 %CI 0.783-0.837) and 0.804 (95 %CI 0.762-0.846), respectively. Conclusion:Gender,BMI,Cr and LDL-C were risk factors for the development of dampness constitution, and the clinical predictive model has clinical application value in predicting the risk of dampness constitution.

Objective:To analyze the hotspots and trends in nursing for cerebral aneurysm interventional embolization, and provide reference for research.Methods:Literature on the nursing of cerebral aneurysm interventional embolization was searched from the China National Knowledge Infrastructure, Wanfang Data and Web of Science Core Collection since the establishment of the database to September 1, 2024. CiteSpace software was applied for visualization analysis.Results:A total of 4 226 articles in Chinese and 960 articles in English were included. The annual cumulative publication volume was generally on the rise. Both Chinese and English keyword analysis yielded 10 cluster groups and 25 emergent keywords. The hotspots and trends in nursing for cerebral aneurysm interventional embolization were perioperative precision nursing, quality of life, improvement and innovation of nursing models and methods, and sleep quality.Conclusions:Future nursing research on cerebral aneurysm interventional embolization should focus on multidisciplinary cooperation and communication to continuously innovate the nursing model and improve patients' quality of life.

Objective To explore the risk factors associated with the occurrence of dampness syndrome based on peripheral blood multiple laboratory indicators,construct predictive model and validate it.Methods A retrospective analysis was conducted on 180 patients who visited the Preventive Treatment Center of Guangdong Provincial Hospital of Chinese Medicine from May 2022 to December 2023.They were divided into two groups according to the diagnostic criteria:the damp syndrome of TCM group(n=118)and the balanced yin-yang constitution group(n=62),with the latter serving as the"non-syndrome"control group for dampness syndrome.Serum biochemical indicators were detected by electrochemiluminescence(ECL),immune cell subsets were analyzed through flow cytometer,and routine blood parameters were assessed using an automatic hematology analyzed.Logistic regression analysis was employed to screen risk factors and develop a predictive model.The Bootstrap method was used for data resampling to draw the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA)to evaluate the predictive value,consistency,and clinical efficacy of the model.Results Compared with the balanced yin-yang constitution group,the damp syndrome of TCM group showed increased levels of insulin(INS),non-high-density lipoprotein cholesterol(non HDL-C),red blood cells(RBC)and the proportion of CD4+T cells,the proportion of triglyceride(TG)>1.70 mmol/L,total cholesterol(TC)>5.20 mmol/L,low-density lipoprotein cholesterol(LDL-C)>3.37 mmol/L,and high-density lipoprotein cholesterol(HDL-C)≤1.15 mmol/L were also significantly higher,with statistical significance(U/t/χ2=-2.900～4 626,all P＜0.05).Logistic regression analysis showed that INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and the proportion of CD4+T cells were independent risk factors for the occurrence of damp syndrome of TCM(all P＜0.05).Based on the screened risk factors,a forecasting model was established and a nomogram was plotted.The model had an area under the ROC curve area under curve(AUC)of 0.747(95%CI=0.672～0.822),a Brier score of 0.184 for the calibration curve,and demonstrated clinical net benefit at threshold probabilities ranging from 0.30 to 1.00.Conclusion The forecasting model constructed based on INS,TC>5.20 mmol/L,HDL-C≤1.15 mmol/L,and CD4+T cells ratio has a high predictive value for damp syndrome of TCM.

Objective:To analyze the hotspots and trends in nursing for cerebral aneurysm interventional embolization, and provide reference for research.Methods:Literature on the nursing of cerebral aneurysm interventional embolization was searched from the China National Knowledge Infrastructure, Wanfang Data and Web of Science Core Collection since the establishment of the database to September 1, 2024. CiteSpace software was applied for visualization analysis.Results:A total of 4 226 articles in Chinese and 960 articles in English were included. The annual cumulative publication volume was generally on the rise. Both Chinese and English keyword analysis yielded 10 cluster groups and 25 emergent keywords. The hotspots and trends in nursing for cerebral aneurysm interventional embolization were perioperative precision nursing, quality of life, improvement and innovation of nursing models and methods, and sleep quality.Conclusions:Future nursing research on cerebral aneurysm interventional embolization should focus on multidisciplinary cooperation and communication to continuously innovate the nursing model and improve patients' quality of life.

Objective:To develop a clinical predictive model for dampness constitution based on laboratory testing indicators.Methods:A retrospective cohort study was conducted on 1 355 healthy individuals who underwent physical examinations at the Health Examination Center of Guangdong Provincial Hospital of Traditional Chinese Medicine from October 1 st, 2022 to October 31 st, 2023. Basic information and blood routine, blood glucose, liver function, lipid metabolism, and kidney function test results of 1 355 apparently healthy individuals were collected. According to the diagnostic criteria for dampness constitution in traditional Chinese medicine, they were divided into a dampness constitution group (683 cases, including 394 with phlegm-dampness constitution and 289 with damp-heat constitution) and a non-dampness constitution group (672 cases). Among them, there were 547 males and 136 females in the dampness constitution group, with an age of 38.0 (32.0, 45.0) years; and there were 355 males and 317 females in the non-dampness constitution group, with an age of 33.0 (27.0, 41.0) years. A total of 1 355 apparently healthy individuals were randomly divided into a training set ( n=948) and a validation set ( n=407) using computer-generated random numbers in a 7∶3 ratio. Logistic regression analysis was employed to identify risk factors associated with dampness constitution. Utilizing these identified risk factors, a predictive model was constructed and subsequently visualized. The model′s predictive accuracy, consistency, and clinical utility were assessed using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), respectively. Results:Among 1 355 subjects, there were statistically significant differences ( P<0.05) in gender, age, body mass index (BMI), blood glucose, some indicators of renal function, some indicators of blood routine, liver function, and four indicators of lipid metabolism between the dampness constitution group and the non-dampness constitution group. Gender ( OR=0.434,95 %CI 0.253-0.738), Cr ( OR=0.981,95 %CI 0.967-0.996), BMI ( OR=1.366,95 %CI 1.290-1.450), and LDL-C ( OR=1.388,95 %CI 1.014-1.897) were independent risk factors for dampness constitution ( P<0.05). A nomogram was subsequently developed based on these identified risk factors. The areas under the ROC curves (AUC) of the training set and validation set were 0.810 (95 %CI 0.783-0.837) and 0.804 (95 %CI 0.762-0.846), respectively. Conclusion:Gender,BMI,Cr and LDL-C were risk factors for the development of dampness constitution, and the clinical predictive model has clinical application value in predicting the risk of dampness constitution.

Objective To establish a method to qualitatively identify and quantitatively determine a new impurity from beclomethasone propionate inhalation aerasol.Methods Ultra-performance liquid chromatography-Q-exactive orbitrap-mass spectrometry(UPLC-QE-MS)technology and Discovery Studio software were used to identify and predict the toxicity of a new impurity in beclomethasone propionate inhalation aerasol,and the content of this new impurity was determined by UPLC.Results The new impurity in beclomethasone propionate inhalation aerasol was polybutylene terephthalate(PBT)cyclic dimer.Discovery Studio software predicted that PBT dimer had potential developmental toxicity,with no mutagenicity,no ocular and skin irritancy and no rodent carcinogenicity.The content range of PBT dimer in 9 batches of beclomethasone propionate inhalation aerasol was 20.5-116.6 pg per bottle.Conclusion This study can realize the rapid identification and toxicity prediction of the new impurity in the preparation,and provide a theoretical basis for the quality control of the preparation by determining their content.

OBJECTIVE：To optimize the inclusion technology of volatile oil from Ganmao qingre granules. METHODS ： Guided by the concept of “quality by design ”，taking volatile oil inclusion rate and inclusion complex yield as key quality attribute，comprehensive score of above two indexes after weighting as response value ，inclusion temperature ，inclusion time ，the ratio of β-CD to volatile oil as key technology parameters ，Box-Burman response surface design was adopted to establish the design space of key technology parameters and key quality attributes. The design space was optimized and verified by 95％ confidence interval. The stability of inclusion complex was investigated preliminarily. RESULTS ：The optimal design space ，i. e. the optimal technology parameters rang ，included inclusion temperature 35-40 ℃，inclusion time 1.8-2.0 h，the ratio of β-CD to volatile oil 9.5∶1- 10∶1（g/mL）. The results of 3 validation tests showed that the volatile oil inclusion rates were all over 62％，the yields of inclusion complex were all over 75％，and the comprehensive scores were all over 80 point. The results of preliminary stability showed that the inclusion rate of volatile oil ，the yield of inclusion complex and the comprehensive score did not change significantly. The difference in evaluation indicators within 7 days was within 5％. CONCLUSIONS ：The optimized inclusion technology is feasible ， and the obtained inclusion complex is stable.

Objective:To investigate the effects of dexmetomide intrathecal injection on the behavior and the spinal cord glial cells of rats with phantom limb pain.Methods:Eighteen healthy and clean adult male SD rats were randomly divided into three groups ( n=6): sham operation group, control group, and DEX group. The control group and the DEX group were used to establish the model of phantom limb pain by chronic constriction injury of the sciatica (CCI); and the sham operation group was treated with sham operations. One week after the establishment of the model, a single intrathecal injection was carried out. The sham operation group was treated with normal saline, and the control group was treated with DEX at a dose of 30 μg/kg. At the time points before the intrathecal injection (T1), and 30 min (T2), 12 h (T3), 2 d (T4), and 1 week (T5) after the intrathecal injection, the behavior, the bradykinin (BK) and histamine (HIS) contents in the blood of the rats at each time point were observed and recorded. One week later, three rats in each group were randomly selected according to random number table method and killed; and the changes of the glial cell activation in the spinal cords of the rats in each group were observed through immunohistochemical staining. Results:Compared with the sham operation group, the total moving distances were significantly reduced in the control group and the DEX group at T1 ( P<0.05). In the DEX group, the total moving distances of the rats at T2, T3, T4 and T5 were significantly higher than those at T1 ( P<0.05). The total moving distances and the counts of crossed squares in the DEX group increased with time. The time of movement at T2 and T5 were significantly higher than those of T1 ( P<0.05). Compared with T1, the BK and HIS values in the control group showed an increasing trend with time; and the BK and HIS values in the DEX group showed a decreasing trend. Compared with the sham operation group, the astrocytes and microglia increased significantly in the control group ( P<0.05). Compared with the control group, the count of astrocytes in the DEX group decreased significantly ( P<0.05). Conclusion:Dexmetomide intrathecal injection can improve the motor behavior of rats with phantom limb pain, inhibit the pain-causing factor and inflammatory factors, and decrease the activation of glial cells in the spinal cord to protect the nerves. Hence it is a new idea for the treatment of phantom limb pain.