Objective To investigate the risk factors of postoperative complications in patients with spinal tuberculosis and analyze the value of prognostic nutritional index(PNI)in predicting these complications.Methods The clinical data of 156 patients with spinal tuberculosis who underwent surgery in the Affiliated Hospital of Zunyi Medical University from January 2018 to July 2022 were retrospectively analyzed.The patients were divided into a complication group and a non-complication group based on the presence or absence of postoperative complications.Baseline data,laboratory indicators,and surgery-related indicators were compared between the two groups.The risk factors for postoperative complications in spinal tuberculosis were analyzed,and receiver operating characteristic(ROC)curves were plotted to evaluate the predictive value of PNI for postoperative complications in the patients.Results Among all of 156 patients,68 contracted a total of 82 instances of postoperative complications,with an incidence of 43.59%.Coinfection with pulmonary tuberculosis,preoperative anti-tuberculosis treatment duration more than 4 weeks,surgical operation duration,and drainage days were identified as independent risk factors for postoperative complications in spinal tuberculosis(P<0.05).On the other hand,a higher PNI was found to be a protective factor against postoperative complications of the spinal tuberculosis(P<0.05).The area under the ROC curve for PNI predicting postoperative complications ofthe spinal tuberculosis was 0.805.Conclusion The risk of postoperative complications in patients with spinal tuberculosis is subject to such factors ascoexistence of pulmo-nary tuberculosis,preoperative anti-tuberculosis treatment duration,surgery duration,drainage duration,and preoperative PNI.Preoperative PNI has a certain value for predicting the postoperative complications in the patients.

Cardiac arrest (CA) is a serious cardiac event, which has a high incidence and low survival rate at home and abroad. In order to predict the risk of CA in advance, a large number of studies have been conducted by relevant researchers. This paper mainly summarizes the characteristics and research status of the existing analysis and prediction of CA from three aspects: the risk prediction factors of CA, the evaluation index of risk prediction of CA and the early warning scoring system of CA. We hope it can help medical staff to understand the current progress in this field, and provide new ways and methods for predicting the risk of CA.

Objective:To investigate the correlation between miR-137 gene polymorphism and genetic susceptibility to gestational diabetes mellitus.Methods:A total of 500 pregnant women with gestational diabetes who were admitted to Shunde Women and Childrens Hospital of Guangdong Medical University from January 2023 to September 2023 were selected as the observation group, and 500 healthy pregnant women with normal glucose metabolism and no pregnancy complications were selected as the control group. Polymerase chain reaction (PCR) was used to detect rs1625579 polymorphisms of miR-137 gene between the two groups, and the clinical data of the two groups were compared to analyze the influencing factors of the occurrence of gestational diabetes mellitus.Results:The frequencies of GT+ GG genotype and allele G at rs1625579 site of miR-137 gene in observation group were 13.20% and 7.00%, respectively, which were significantly higher than those in control group (all P<0.05). Fasting blood glucose (FPG), fasting insulin (FINS) and insulin resistance index (HOMA-IR) of miR-137 genotype GT+ GG pregnant women in the observation group were (7.92±0.81)mmol/L, (19.92±3.10)mmol/L and 6.60±1.02, respectively. It was significantly higher than genotypic TT pregnant women (all P<0.05), and islet β cell function index (HOMA-β) was significantly lower than genotypic TT pregnant women (188.84±43.34) ( P<0.05). Pre-pregnancy body mass index (BMI) and average weekly weight gain during pregnancy in the observation group were (23.81±1.92)kg/m 2 and (445.50±35.65)g, respectively, which were significantly higher than those in the control group (all P<0.05). The proportion of family history of diabetes in the observation group was 8.60%, which was significantly higher than that in the control group ( P<0.05). Logistic regression analysis showed that preconception BMI and average weekly weight gain during pregnancy were the influential factors for the occurrence of gestational diabetes (all P<0.05). Conclusions:The occurrence of gestational diabetes mellitus has no significant correlation with miR-137 gene polymorphism, but is related to pre-pregnancy BMI and average weekly weight gain during pregnancy. Compared with other miR-137 genotypes, GT+ GG patients were more likely to develop abnormal blood glucose.

OBJECTIVE: To propose a framework that combines sinogram interpolation with unsupervised image-to-image translation (UNIT) network to correct metal artifacts in CT images. METHODS: The initially corrected CT image and the prior image without artifacts, which were considered as different elements in two different domains, were input into the image transformation network to obtain the corrected image. Verification experiments were carried out to assess the effectiveness of the proposed method using the simulation data, and PSNR and SSIM were calculated for quantitative evaluation of the performance of the method. RESULTS: The experiment using the simulation data showed that the proposed method achieved better results for improving image quality as compared with other methods, and the corrected images preserved more details and structures. Compared with ADN algorithm, the proposed algorithm improved the PSNR and SSIM by 2.4449 and 0.0023 when the metal was small, by 5.9942 and 8.8388 for images with large metals, and by 8.8388 and 0.0130 when both small and large metals were present, respectively. CONCLUSION The proposed method for metal artifact correction can effectively remove metal artifacts, improve image quality, and preserve more details and structures on CT images.
Artifacts ; Algorithms ; Computer Simulation ; Tomography, X-Ray Computed

Objective:To investigate the effects of gestational diabetes mellitus (GDM) on neonatal metabolites.Methods:This retrospective cohort study recruited 580 singleton newborns who were born to women with GDM from January 2018 to December 2018 in Foshan Maternal and Child Health Care Hospital as the GDM group. Another 580 counterparts born to non-GDM singleton mothers with matching age were selected as the non-GDM group with an allocation ratio of 1 to 1. Neonatal genetic metabolic disease screening was performed within 3-7 days after birth. Two independent sample t-test, and multiple linear regression model were used for statistical analysis. Results:There were significant differences in seven amino acids and 10 fatty acids levels between the GDM and non-GDM group. The serum levels of six amino acids and eight fatty acids were increased in the GDM group, while the levels of piperamide [(140.79±32.60) vs (150.26±35.46) μmol/L, t=－4.733, P<0.001], palmitoyl carnitine [(2.59±0.81) vs (2.73±0.82) μmol/L, t=－2.940, P=0.003], and carbamate [(0.066±0.022) vs (0.069±0.022) μmol/L, t=－1.937, P=0.042] were decreased compared with the non-GDM group. After adjusting for maternal gravidity, parity, neonatal birth weight, and gender, multivariate linear regression analysis showed that GDM was positively correlated with three amino acids levels, which were cysteine ( ?=0.012), homocysteine ( ?=0.263) and leucine ( ?=4.225); and was negatively correlated with glycine ( ?=－6.271) and piperamide level ( ?=－9.885). With regard to the fatty acids, GDM was positively correlated with the neonatal propionyl carnitine ( ?=0.214), butyryl carnitine ( ?=0.014), 3-hydroxybutyryl carnitine ( ?=0.006), isovaleryl carnitine ( ?=0.009), 3-hydroxyisovaleryl carnitine ( ?=0.024), hexadecanoyl carnitine ( ?=0.001), decadienoyl carnitine ( ?=0.045), octadecadienyl carnitine level ( ?=0.128), but was negatively correlated with palmitoyl carnitine ( ?=－0.119), and carbamate ( ?=－0.002) (all P<0.05). Conclusions:Correlations between maternal GDM and the levels of amino acids and fatty acids in neonates was noted in this study, suggesting that maternal GDM may affect the metabolism of amino acids and fatty acids in offspring at early stage of life.

Brain-computer interface (BCI) is a revolutionizing human-computer Interaction, which is developing towards the direction of intelligent brain-computer interaction and brain-computer intelligent integration. However, the practical application of BCI is facing great challenges. The maturity of BCI technology has not yet reached the needs of users. The traditional design method of BCI needs to be improved. It is necessary to pay attention to BCI human factors engineering, which plays an important role in narrowing the gap between research and practical application, but it has not attracted enough attention and has not been specifically discussed in depth. Aiming at BCI human factors engineering, this article expounds the design requirements (from users), design ideas, objectives and methods, as well as evaluation indexes of BCI with the human-centred-design. BCI human factors engineering is expected to make BCI system design under different use conditions more in line with human characteristics, abilities and needs, improve the user satisfaction of BCI system, enhance the user experience of BCI system, improve the intelligence of BCI, and make BCI move towards practical application.
Brain ; Brain-Computer Interfaces ; Electroencephalography ; Ergonomics ; Humans ; User-Computer Interface

Objective:To investigate the prevalence of pre-diabetes mellitus (PDM) and the impact of occupation-related factors on PDM, among workers from a steel company in Tangshan city, Hebei province.Methods:Clustering sampling method was used to select a steel company and to carry out occupational health-related physical checkup programs for eligible workers who had working in this company for longer than one year. The study began in February and ended up in June, 2017. Workers who were with FPG level as ≤6.9 mmol/L, and free from diabetes, were selected as the subjects for this study. Questionnaires were used and physical examinations and FPG testing conducted.Results:The total number of subjects in this study was 4 173, of which 2 648 appeared as pre-diabetic, with the prevalence rate as 63.4 %. Increase of the PDM prevalence was in parallel with the length of service, among the workers. The risk for the pre-diabetes in those who worked more than 8 hours per day was 1.696 times higher than those who worked less than or equal to 8 h/d (95 %CI:1.517-1.937). Compared with those workers without exposures to heat, noise or carbon monoxides, the proportion of pre-diabetes appeared higher in workers exposed to heat, noise or CO with OR=1.782 (95 %CI: 1.205-2.636), 1.815 (95 %CI: 1.209-2.794) and 1.653 (95 %CI: 1.158-2.361), respectively. Risks for those who were exposed to heat or noise were higher than those who were free from exposure to any occupational hazards ( OR=2.098, 95 %CI: 1.296-3.397). Prevalence rates of pre-diabetes in those who were exposed to heat, noise or CO, were higher than that those who were not. Conclusion:Working hours and exposures to heat, noise or CO appeared as influential factors on PDM.

Objective:To investigate the effect of occupational factor exposures on carotid atherosclerosis (CAS) in steel workers.Methods:A frequency matched case-control study was conducted by age and factory proportion. A total of 1 033 workers with carotid atherosclerosis diagnosed by ultrasonography examination from February to June 2017 were selected as case group, and 1 033 workers without carotid atherosclerosis indicated by physical examination at the same time were selected as control group. The basic information of the workers, such as diet pattern, lifestyle, serum biochemical index and occupation history, were collected. The effects of occupational hazards on carotid atherosclerosis were analyzed by univariate and multivariate logistic regression analyses. The combined effects of various occupational hazards on carotid atherosclerosis were evaluated by environmental risk score (ERS).Results:High temperature, noise, occupational stress and night shift days increased the risk of CAS. With the increase of cumulative high temperature and noise exposure, occupational stress and night shift days, the risk of CAS increased (trend text: χ2=37.53, P<0.01; χ2=16.98, P<0.01; χ2=13.93, P<0.01; χ2=5.59, P<0.05). After adjustment of covariates, compared with P 20 group, the risk of carotid artery in P 40, P 60, P 80 and P 100 groups were as follows: high temperature 1.61 (1.19-2.18), 1.69 (1.25-2.30), 1.84 (1.36-2.49), 2.43 (1.77-3.34); noise 1.70 (1.15-2.52), 1.68 (1.20-2.35), 1.80 (1.34-2.42), 2.23 (1.53-3.26); occupational stress 1.39 (1.04- 1.86), 1.41 (1.06-1.89), 1.45(1.09-1.95), 1.48 (1.10-1.98); night shift days 1.58 (1.08-2.33), 1.66 (1.12-2.47), 1.55 (1.04-2.31), 1.76 (1.17-2.64). The results of the environmental risk score showed that the risk of carotid atherosclerosis increased with the increase of ERS (ERS trend text χ2=51.61, P<0.01); RCS results showed that there was a linear relationship between ERS and CAS in steel workers( P<0.01). Linear dose-response relationship existed between ERS and CAS (nonlinear test P>0.05). Conclusions:High temperature, noise, occupational stress and night shift days were related to carotid atherosclerosis. Linear dose-response relationship existed between ERS and CAS in steel workers.

OBJECTIVE： To establish a method for rapid determination of total phenylethanoid glycosides and total iridoid glycosides in the root of Rehmannia glutinosa. METHODS： The contents of total phenylethanoid glycosides and total iridoid glycosides in medicinal material samples were determined by UV spectrophotometry. Quantitative model of total phenylethanoid glycosides and total iridoid glycosides in medicinal samples was established by NIRS-PLS method. The optimal pretreatment spectra were multivariate scattering correction combined with first derivative method， standard normalization combined with first derivative method. The optimum spectral ranged from 6 703.35-11 065.54 cm－1 and 3 999.63-9 102.36 cm－1. The optimum principal factor number were 10 and 7. RESULTS： The content determination of total phenylethanoid glycosides and total iridoid glycosides in medicinal material samples was proved to meet the requirements by methodological experience. The internal cross validation determination coefficients of total phenylethanoid glycosides and total iridoid glycosides were 0.998 2 and 0.980 9. The correction of root mean square error was 0.032 7 and 0.186 0. The root mean square error of prediction were 0.035 5 and 0.035 1. The root mean square error of cross validation were 0.256 9 and 0.574 3. The predicted values of total phenylethanol glycosides and total iridoid glycosides were 0.268％-1.636％ and 3.424％-6.978％， respectively； the determination value of them were 0.299％-1.629％ and 3.431％-6.952％， respectively； the absolute deviations were －0.042％-0.067％ and －0.111％-0.088％， respectively；the relative deviations were －0.819％-0.076％、－2.257％-1.672％， respectively；There was no statistical significance between predicted values and measured values （P＞0.05）. CONCLUSIONS： The method is accurate and simple. The method can be used for the rapid determination of total phenylethanoid glycosides and total iridoid glycosides in different germplasms of R. glutinosa.

Objective To explore the path of subjective well-being, perceived social support and professional commitment among undergraduate nursing students. Methods A total of 207 undergraduate nursing students in a medical university in Anhui were recruited by cross-sectional survey method. Nursing students were investigated using General Information Questionnaire, Index of Well-being, Perceived Social Support Scale, Professional Commitment Scale during October to November 2016. SPSS 16.0 was used for statistical analysis, the data were analyzed by t test or variance analysis;Multivariate analysis was performed by multiple linear regression, and AMOS 17.0 was used for mediation analysis. Results The professional commitment score for nursing students was (88.01 ±10.94); perceived social support and subjective well-being were positively correlated with professional commitment (r=0.349-0.413, P=0.000); nursing role, pro-fessional interest, perceived social support, subjective well-being can positively predict professional commit-ment (β=0.157, 0.324, 0.210, 0.220), motivation can negatively predict professional commitment;path analysis showed that perceived social support played a partial mediating role between subjective well-being and pro-fessional commitment. Conclusion The professional commitment were related to subjective well-being and perceived social support, and perceived social support plays a partial mediating role between subjective well-being and professional commitment among nursing students. Nursing educators can understand social support and subjective well-being as the breakthrough point, which actively formulate intervention strategies to enhance the professional commitment, stabilize the development of nursing team, and improve the quality of nursing.