Near-surface ozone is a profoundly reactive and highly oxidizing gas and one of the critical respiratory toxicants. Numerous epidemiological investigations have indicated that asthmatic individuals are the vulnerable group of ozone exposure， and there is a strong correlation between ozone exposure and asthma morbidity and mortality rates. The potential mechanisms include oxidative stress， inflammatory response， autonomic nerve impairment， and immune dysfunction. The present study summarized and discussed the effect of ozone exposure on asthma and its underlying biological mechanisms in order to galvanize public cognizance concerning the perils of ozone pollution and serve as a reference for future research on ozone exposure and asthma.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective:To explore the application of an automatic slide-dropping instrument in bone marrow chromosomal karyotyping.Methods:The effects of manual and automatic dropping methods under different environmental humidity were retrospectively analyzed, and the repeatability of the automatic dropping method was analyzed.Results:No statistical difference was found between the results of automatic and manual dropping methods under the optimum ambient humidity and high humidity ( P>0.05). At low humidity, there was a statistical difference between the two methods ( P<0.05). With regard to the repeatability, the coefficient of variations of the automatic dropping method for the number of split phases, the rate of good dispersion and the rate of overlap were all lower than those of the manual dropping method. A statistical difference was also found in the number of split phases ( P<0.05) but not in the discrete excellent rate and overlapping rate between the two methods ( P>0.05). Conclusion:Better effect can be obtained by the automatic dropping instrument. It is suggested to gradually replace manual work with machine.

OBJECTIVES: Firefighters are prone to suffer from psychological trauma and post-traumatic stress disorder (PTSD) in the workplace, and have a poor prognosis after PTSD. Reliable models for predicting PTSD allow for effective identification and intervention for patients with early PTSD. By collecting the psychological traits, psychological states and work situations of firefighters, this study aims to develop a machine learning algorithm with the aim of effectively and accurately identifying the onset of PTSD in firefighters, as well as detecting some important predictors of PTSD onset. METHODS: This study conducted a cross-sectional survey through convenient sampling of firefighters from 20 fire brigades in Changsha, which were evenly distributed across 6 districts and Changsha County, with a total of 628 firefighters. We used the synthetic minority oversampling technique (SMOTE) to process data sets and used grid search to finish the parameter tuning. The predictive capability of several commonly used machine learning models was compared by 5-fold cross-validation and using the area under the receiver operating characteristic curve (ROC-AUC), accuracy, precision, recall, and F1 score. RESULTS: The random forest model achieved good performance in predicting PTSD with an average AUC score at 0.790. The mean accuracy of the model was 90.1%, with an F1 score of 0.945. The three most important predictors were perseverance, forced thinking, and reflective deep thinking, with weights of 0.165, 0.158, and 0.152, respectively. The next most important predictors were employment time, psychological power, and optimism. CONCLUSIONS PTSD onset prediction model for Changsha firefighters constructed by random forest has strong predictive ability, and both psychological characteristics and work situation can be used as predictors of PTSD onset risk for firefighters. In the next step of the study, validation using other large datasets is needed to ensure that the predictive models can be used in clinical setting.
Humans ; Stress Disorders, Post-Traumatic/diagnosis* ; Firefighters/psychology* ; Cross-Sectional Studies ; Algorithms ; Machine Learning

Background Domestic waste classification is one of the major livelihood projects in China. With the introduction of the Shanghai Household Waste Management Regulation in 2019, the work of domestic waste classification has been carried out nationwide, yet its potential risks especially those derived from microorganisms are not clear. Objective To investigate the microbial characteristics of the domestic waste in typical residential areas in Shanghai, and provide a theoretical basis for health protection during the domestic waste classification process in Shanghai and throughout China. Methods Dry and wet waste from a typical residential community in Shanghai were collected during 2019–2020. Microbial colonies were counted in domestic waste and analyzed for growth patterns. Then through 16S rRNA sequencing using lllumina PE250, hierarchical clustering analysis was conducted to reveal the similarity and dissimilarity of community compositions in different domestic waste groups, alpha diversity was estimated to reflect the richness and diversity of bacterial communities, principal co-ordinates analysis of unweighted UniFrac distance was performed to estimate the beta diversity, and linear discriminant analysis effect size (LEfSe) was used to find features differentially represented among domestic waste groups. Results In the chosen typical residential community of this study, the numbers of microorganisms in waste were quite different, with lower numbers of microorganisms in dry waste than the numbers in wet waste. In addition, different growth curves of microorganisms were shown for different seasons, and the peak baterial colony numbers were 200 CFU·cm⁻², 6×10⁵ CFU·mL⁻¹, 10 CFU·cm⁻², and 2×10⁶ CFU·mL⁻¹ for summer dry waste, summer wet waste, winter dry waste, and winter wet waste, respectively. The results of 16S RNA demonstrated significant differences in α and β diversity indicators among different waste groups, and the difference in waste classifications was larger than the difference of the same classification of waste in different seasons. The main compositions of bacterial colonies in domestic waste was Proteobacteria, followed by Firmicute and Bacteroidota. The clustering analysis showed that the microbial composition in summer dry waste was close to that in winter dry waste, while other groups were quite different. In total 48 differential bacterial taxa were found at the level of genus including Pseudomonas and Pantoea. Conclusion Different seasons and different classifications of domestic waste present varied microbial characteristics, with different potential pathogenic microorganisms. Together with other related studies, we suggest that different measures should be taken for different domestic wastes to prevent and control the health hazards associated with waste classification.

Humans ; Magnetic Resonance Imaging ; Pterygoid Muscles/diagnostic imaging* ; Temporomandibular Joint/diagnostic imaging* ; Temporomandibular Joint Disorders/diagnostic imaging*

Objective: To evaluate the application of calcium suppressed (CaSupp) spectral CT technique in evaluating disk position and measuring the thickness of the posterior band of temporomandibular joint (TMJ). Methods: The twenty-three temporomandibular disorder patients [mean age 23(12~62) years, male/female=14/9] were performed with oblique sagittal and coronal proton density weighted imaging (PDWI) and spectral CT scans from February to July, 2019 in Department of Radiology, Hainan Hospital of General Hospital of Chinese PLA, and 45 TMJ joints were evaluated. The subjects were classified into two groups according to the scanning modalities: MRI measurement group and CaSupp spectral-based CT group. The CaSupp technique were applied with the spectral-based CT images and CaSupp images were generated. The oblique sagittal and coronal CaSupp imaged were reformatted by perpendicular to the long axis of the condyle. The TMJ disk positions were evaluated on oblique sagittal and coronal images, and the maximal disk thickness were measured on the oblique sagittal images. Results: The joint position was basically consistent on MRI and CaSupp images for the 45 TMJ joints. The intra-class coefficient value was 0.843 (0.712, 0.914) for the measurement of the posterior band of the TMJ disk between MRI and CaSupp images. Bland-Altman presented that the [95.6% (43/45)] points with the difference located in the 95% agreement interval. Wilcoxon paired text demonstrated that there was no significant different for the thickness of the posterior band between MRI [2.57 (1.76, 3.65) mm] and CaSupp images [2.67 (1.74, 4.56) mm] (P=0.07). Conclusions The CaSupp spectral-based CT could be used to evaluated the TMJ disk position and the thickness of the posterior band.

Objective:To evaluate the altered brain volume of the patients with painful temporomandibular disorders (TMD) using voxel-based morphometry (VBM).Methods:One hundred forty-six TMD patients ［age (36.8±15.8) years, male/female=44/102］ and 193 normal controls (NC) ［age (43.3±15.6) years, male/female = 92/101］ were performed with 3 dimensional brain structural images at 3.0 T MR scanner from November 2011 to December 2019 in Department of Radiology, Hainan Hospital and General Hospital of Chinese PLA. The brain structural images were segmented into gray matter, white matter and cerebrospinal fluid, and the gray matter images were performed with two-samples t-test with total intracranial volume, age and gender as covariates. Results:The gray matter volume (GMV) presented significantly higher in TMD group ［(632.4±65.4) ml］ than that in NC group ［(596.1±76.3) ml］ ( t=4.70, P<0.05). The brain regions with increased GMV for TMD located in left inferior temporal gyrus, bilateral fusiform gyrus, bilateral middle temporal gyrus and right lingual gyrus compared with NC. Conclusions:The temporal lobe was the targeting brain region for TMD patients with increased GMV, which should further be investigated to elucidate the neuromechanism.

Objective? To explore the research hotspots and development frontier of nursing information in China by utilizing the visual data analysis software to explore the evolution of nursing information nearly 10 years and summarize the future trend as well as challenges so as to provide a scientific and objective reference for carrying out further research. Methods? We implemented subject search in China National Knowledge Infrastructure (CNKI), and analyzed the literatures on nursing information published in 2007 by using CiteSpaceV software, and drew a knowledge graph to comprehensively analyze and visually show the overall research overview, research hotspots and research trend. Results? A total of 1 828 literatures were searched in CNKI and 1 488 effective literatures were included after screening. The literatures were imported into CiteSpaceV after transforming format. And then, we carried out the cluster analysis for high-frequency keywords to analyze the central idea of hotspot keywords. Results showed the research hotspots nearly 10 years included four aspects involving information technology integrating clinical nursing practice, design and optimization of nursing information management system, exploration of nursing information education system models, early investigation on nursing formation accomplishment and information ability and exploration of training model. The structure of burst term distribution revealed that researches on nursing information deepened and refined to data mining, emphasizing patients reported outcome, paying attention to continuous nursing which patients engaged and experienced as well as research trend at the present stage. Conclusions? Research hotspots on nursing information has been formed in China. However, the relevance between cooperation and researches is still deficient in the field of nursing formation in China. In the future, these researches hotspots should be dug continually according to policies, technologies, education as well as scientific researches and researches should be carried out in specific projects.

Objective To study the clinical features of hand-foot-mouth disease(HFMD) in neonates.Method From April 2015 to May 2016,the clinical manifestations,laboratory examinations,treatments and prognosis of neonates with HFMD in our hospital were retrospectively analyzed.Result A total of 6 cases of neonatal HFMD were included,with 4 males and 2 females.The ages of 2 patients were ≤7 days and the other 4 patients 8 ～ 28 days.5 patients developed this disease during April to July,while the other one in January.2 cases had a definite contract history of HFMD.4 cases presented with fever and rashes in hand and foot,one case with fever,rash and oral ulcer,and one case with rash in hip and oral ulcer without fever.The nucleic acid test of enterovirus were positive in 4 cases.The symptoms of these neonatal HFMD were mild and recovered after symptom-relieving treatment.Conclusion HFMD in neonates with fever and/or rash should be considered during the HFMD epidemic period.